SMOS Data Viewer

 

SDV

 

Software User’s Manual

 

 

 

 

Code

:

SDV-DME-TEC-SUM01-E-R

Issue

:

2.13

Date

:

04/01/2019

 

 

 

 

Name

Function

Signature

Prepared by

Nuno Almeida

Project Manager

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Reviewed by

Bruno Fernandes

Project Engineer

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Approved by

Nuno Almeida

Project Manager

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Signatures and approvals on original

 


 

 

 

 

 

 

 

 

 

 

 

 

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SDV-DME-TEC-SUM01-213-E-R.doc

 


Document Status Log

 

Issue

Date

Change description

Draft 1

15/06/2006

First draft of the document

Draft 2

14/09/2006

Second draft of the document for FAT-V1

1.4

27/11/2006

Revision 4 of Issue 1:

Revision related to SMOS Data Viewer 1.2.

Some minor corrections (presentation, spelling and grammar)

Section 6 and 7: L1A and L1B features only apply to L1A and L1B data

New paragraph in Appendix A (How to edit BinX files)

New Appendix B (Prerequisite on the system set-up for printing from SMOSView GUI)

New Appendix C (Phase calculations in SMOS Data Viewer plots)

New Appendix D about the transformations performed to switch from L1B Fourier components of BT to L1B reconstructed BT

1.5

12/03/2007

Revision 5 of Issue 1:

User Manual has been largely revised in each section. The current revision is related to SMOS Data Viewer version beta 1.3, including specific L1C and L2 visualization features. It also takes into account comments from ESA (from February 2007).

2.0

26/04/2007

Issue 2.0:

User Manual update for the official SMOS Data Viewer version 1.3.0.

Add L2 flag projection section

Change explanation for incidence angle selection

Add comment concerning the opening of files (.HDR or .DBL)

Add search function explanation

Add UDP – SM – OS acronyms

2.1

14/06/2007

Revision 1 of Issue 2 :

Modifications to take into account comments from FAT-V2 meeting.

2.3

20/11/2007

Add Polarization filter for specific visualization plug-in

2.4

12/12/2008

Update the document in section 5 in order to clarify the SPR SDV-PR-0041.

The installation process was further detailed in section 3.2

Updated the L2 Specific Visualization product table

2.5

06/03/2009

Update the document to reflect the new L1C plot functionality in section 8.1.

Clarify the IDL export limitations in section 3.5.

Updated the auxiliary files that are possible to visualize

Added an appendix with the new “Browse” structure of the Level 0 products. This includes the correlations table.

Removed “Array Movie Viewer” section

Added new section explaining how to replace the product format plugin (section 3.3)

2.6

05/06/2009

Update the document to reflect updates on the color scale and visualization of AUX_SSS and AUX_DISTAN files.

Limitations of the Chart Plugin

Introduce the new functionality of DUMMY data display for L2 product files

2.7

18/09/2009

Update the document to reflect new implementations on the SMOS Data Viewer release 1.5.4.

New specific visualization available fo AUX_FARA products

Color scale can be adjusted for L1A and L1B specific visualization panels.

The L1B Reconstruction is now performed using the Blackman Apodisation window.

2.8

14/12/2009

Update the document to reflect corrections and enchancements available on SMOS Data Viewer release 1.5.4.

  • Clarificarification of the specific visualization of CRSx1A
  • Added section explaining the transformation from square to star domain.
  • Introduced the support of browsing intermediate products (CORN1A and UNCN1A)

2.9

14/05/2010

Update the document to include information about the new specific visualization available for AUX_GAL products in the SDV release 1.6.0.

Added information about the new information available in L1A and L1B specific visualization panel.

2.10

17/10/2013

Update the document to include information about the new specific visualization available for AUX_OTT products in the SDV release 1.6.5.

2.11

26/02/2015

Update the document to include information about the new specific visualizations available for AUX_DTBCUR and AUX_DTBXY products as part of the SDV release 1.7.0.

New section (3.1) with the Know Issues of the application

Corrected typos along the document.

2.12

15/07/2016

Updated Mac OS X installation instructions

2.13

04/01/2019

Updated Windows 8/10 64 bits installation instructions

 


Table of Contents

1. INTRODUCTION_____________________________________________________________ 16

1.1. Purpose and Scope_________________________________________________________ 16

1.2. The SMOSView mission_____________________________________________________ 16

1.3. Structure of the Document___________________________________________________ 16

1.4. Abbreviations and Acronyms_________________________________________________ 17

2. The SMOSView application_____________________________________________________ 19

2.1. Limitations of SMOSView___________________________________________________ 19

2.2. SMOSView data format_____________________________________________________ 19

2.3. User feedback and bug report________________________________________________ 19

3. Getting started with SMOSView__________________________________________________ 21

3.1. Known Issues_____________________________________________________________ 21

3.2. Your system setup__________________________________________________________ 21

3.3. How do I install SMOSView?_________________________________________________ 21

3.4. Update of New Product Schemas______________________________________________ 22

3.5. How do I start SMOSView?__________________________________________________ 22

3.6. The SMOSView User Interface_______________________________________________ 23

3.7. SMOSView buffers_________________________________________________________ 25

3.8. The first steps_____________________________________________________________ 26

3.9. SMOSView menu tour______________________________________________________ 26

3.10. SMOSView toolbar________________________________________________________ 30

3.11. SMOS View Known Problems and Limitations__________________________________ 30

4. Viewing DATA content_________________________________________________________ 31

4.1. File Chooser buffer_________________________________________________________ 31

4.2. Format Manager Buffer_____________________________________________________ 32

4.3. Browser buffer____________________________________________________________ 34

4.3.1. Search function_________________________________________________________ 36

4.3.2. Data browsing in Normal mode_____________________________________________ 36

4.3.3. Interpreted data_________________________________________________________ 37

4.3.4. Ignored data____________________________________________________________ 38

4.3.5. Other data visualization modes_____________________________________________ 38

4.4. Export a product subset to an ASCII file________________________________________ 43

4.4.1. Export data using the Browser buffer________________________________________ 43

4.4.2. Export data using the New Subset selection____________________________________ 44

5. Plotting Data_________________________________________________________________ 48

5.1. 2D plots__________________________________________________________________ 48

5.1.1. Plotting a data field against an auto-generated index_____________________________ 49

5.1.2. Plotting two data fields against each other_____________________________________ 52

5.1.3. Importing external data___________________________________________________ 54

5.1.4. Multi plot visualization___________________________________________________ 55

5.1.5. Deleting a plot or data selection_____________________________________________ 56

5.1.6. Saving a plot Template____________________________________________________ 56

5.2. Plot settings_______________________________________________________________ 56

6. L1A Specific visualization features________________________________________________ 60

6.1. L1A visibility matrix________________________________________________________ 60

6.2. What the plot shows________________________________________________________ 61

6.2.1. Features available_______________________________________________________ 62

6.2.1.1. Zoom in / Zoom out:__________________________________________________ 62

6.2.1.2. Hide parameters to magnify visualized data:________________________________ 62

6.2.1.3. Plot Type___________________________________________________________ 62

6.2.1.4. Snapshot and title settings______________________________________________ 63

6.2.1.5. Value details________________________________________________________ 64

6.2.1.6. Export_____________________________________________________________ 64

6.2.1.7. Color Table_________________________________________________________ 65

6.2.1.8. Stepping through the product____________________________________________ 68

6.3. L1A Star Domain__________________________________________________________ 69

7. L1B Specific visualization features________________________________________________ 70

7.1. L1B Fourier Components of Brightness Temperature_____________________________ 70

7.2. L1B Reconstructed Brightness Temperature_____________________________________ 72

8. L1C Specific visualization features________________________________________________ 74

8.1. L1C Dual polarization visualization____________________________________________ 74

8.1.1. Plot type_______________________________________________________________ 75

8.1.2. Pixel Attributes Projection_________________________________________________ 76

8.1.2.1. Attributes___________________________________________________________ 76

8.1.2.2. Geo Tools__________________________________________________________ 77

8.1.2.3. Projections__________________________________________________________ 78

8.1.2.4. Color Tables and Range________________________________________________ 78

8.1.2.5. Export_____________________________________________________________ 79

8.1.2.6. Zoom in / out / around_________________________________________________ 80

8.1.2.7. Snapshot ID selector__________________________________________________ 80

8.1.2.8. Polarization_________________________________________________________ 81

8.1.2.9. Incidence angle selector________________________________________________ 81

8.1.3. Measurement Counter Projection____________________________________________ 81

8.2. L1C Full polarization visualization____________________________________________ 82

8.2.1. Polarization____________________________________________________________ 83

8.2.1.1. Brightness Temperatures Specific Plot_____________________________________ 83

8.3. L1C browse products visualization____________________________________________ 84

9. L2 Specific visualization features_________________________________________________ 86

9.1. Controls from left pane______________________________________________________ 87

9.1.1. Field selection__________________________________________________________ 89

9.1.2. Flags selection__________________________________________________________ 89

9.1.3. Geo Tools_____________________________________________________________ 91

9.1.4. Projections_____________________________________________________________ 91

9.1.5. Field color Scale________________________________________________________ 91

9.1.6. Example_______________________________________________________________ 92

9.2. Error mode_______________________________________________________________ 93

9.2.1. Error color scale_________________________________________________________ 93

9.2.2. Error mode example_____________________________________________________ 93

9.2.3. Visualization Approach on AUX_SSS and AUX_DISTAN________________________ 94

9.2.4. Figure 105 AUX_SSS Zone PanelDummy Data Filtering__________________________ 95

9.2.5. Visualization of AUX_FARA Products_______________________________________ 95

9.2.6. Visualization of AUX_GAL_OS and AUX_GAL_SM____________________________ 96

9.2.7. Visualization of AUX_OTTxD/F____________________________________________ 98

9.2.8. Visualization of AUX_DTBCUR____________________________________________ 99

9.2.9. Visualization of AUX_DTBXY____________________________________________ 100

9.2.9.1. Plot Panel__________________________________________________________ 100

9.2.9.2. World Map Panel____________________________________________________ 100

9.2.9.3. Charts Panel________________________________________________________ 101

Appendix A          Prerequisite for Printing___________________________________________ 102

Appendix B          Phase Calculations in SMOS Data Viewer plots_________________________ 103

Appendix C          transformations performed to switch from L1B Fourier components of BT to L1B reconstructed BT                      105

Appendix D: Star Domain Visualization_____________________________________________ 107

Appendix E: Browse Structure of Level 0 Product Arrays______________________________ 109

 

 


List of Tables

Table 1: List of Terms Used in this Document.................................................................................... 17

Table 2: List of acronyms used in this document................................................................................ 18

Table 3 L1A products to which L1A Specific Visualization Features apply........................................ 60

Table 4 L1B products to which L1B Specific Visualization Features apply........................................ 70

Table 5 L1C products to which L1C Specific Visualization Features apply........................................ 74

Table 6 L2 products to which L2 Specific Visualization Features apply............................................. 86

Table 7 L2 products to which L2 Specific Visualization Features apply............................................. 86

Table 8 L2 Ocean Salinity fields that can be projected on the geographical map................................ 88

Table 9 L2 Soil Moisture fields that can be projected on the geographical map.................................. 88

 


List of Pictures

Figure 1 SMOSView start window (From top to bottom: Menu bar, Tool Bar, Buffer) 23

Figure 2: Buffer selection box. 24

Figure 3: How to split window.. 24

Figure 4: Multiple (x 4) windows opening. 25

Figure 5: File menu. 26

Figure 6 View Menu. 27

Figure 7 System Menu. 27

Figure 8: Window Menu. 27

Figure 9: Help Menu. 28

Figure 10: Right-clicking example. 29

Figure 11: SMOSView Icons. 30

Figure 12: New file chooser icon. 31

Figure 13: File Chooser buffer 31

Figure 14: File chooser icons. 32

Figure 15: Folder icon. 32

Figure 16: Compatible file icon. 32

Figure 17: Format manager icon. 33

Figure 18: Format manager buffer 33

Figure 19: HTML format description example. 34

Figure 20: HTML format description navigation icones. 34

Figure 21: New Browser icon. 34

Figure 22: Browser buffer example. 35

Figure 23: Data browsing icons. 36

Figure 24: Interpreted data representation. 38

Figure 25: Ignored data flag. 38

Figure 26 Flat Mode. 39

Figure 27 Hex Mode. 40

Figure 28: Semantic mode display. 41

Figure 29 Tabular Mode. 42

Figure 30 Transposed table from the tabular mode. 42

Figure 31: "Export to ASCII" dialog box. 43

Figure 32: ASCII export example. 44

Figure 33: Subset selection Window. 45

Figure 34: Subset selection icons. 45

Figure 35 New subset dialog box. 45

Figure 36: Selected data for export example. 46

Figure 37: Selection of data with scroll bars. 46

Figure 38: Plot default window.. 48

Figure 39: Plotter buffer icons. 48

Figure 40 Plot Templates box. 49

Figure 41 Data Panel 49

Figure 42 Product Tree. 50

Figure 43 Plot screen - Chart Panel 50

Figure 44: Array Panel 52

Figure 45: Data value against data container index. 52

Figure 46: XY series Plot template. 53

Figure 47: XY series example. 53

Figure 48: XY series with external data. 54

Figure 49: Import file menu. 54

Figure 50: Import file example. 54

Figure 51:  Multi Plot example. 55

Figure 52: All plots icon. 56

Figure 53: Remove Node icon. 56

Figure 54: Save Template Icon. 56

Figure 55: Title renaming example. 56

Figure 56: color setting menu. 57

Figure 57: Plotter properties color setting. 57

Figure 58: Plotter HSB color setting. 58

Figure 59: Plotter RGB color setting. 58

Figure 60: L1A visibility matrix example. 61

Figure 61: Plot Type drop down menu. 62

Figure 62: Snapshot setting details. 63

Figure 63: Data field drop down menu example. 63

Figure 64: Value Details display. 64

Figure 65: Export Box. 64

Figure 66 Export formats. 65

Figure 67 JPG export result 65

Figure 68: Color Tables menu. 66

Figure 69: Color table example. 66

Figure 70: L1A matrix representation using a color table. 66

Figure 71 “Display color scale in plot” selected. 67

Figure 72 Min and max color scale range selection. 68

Figure 73: Snapshot slider 68

Figure 74: Start Domain visualization example. 69

Figure 75: L1B Fourier Components of BT example. 71

Figure 76 L1B Plot type menu. 71

Figure 77: L1B Spatial Representation example. 72

Figure 78 L1C Specific Visualization Feature Window.. 75

Figure 79 L1C Plot Type Menu. 75

Figure 80 L1C Attributes Drop Down Menu. 76

Figure 81 Example of L1C BT value field displayed. All pixels displayed refer to the same snapshot (100619). 77

Figure 82 L1C Geo Tools Box Details. 77

Figure 83 Projections Drop Down Menu. 78

Figure 84 North Orthographic projection example. 78

Figure 85 Color Tables Menu. 79

Figure 86 Export Box. 79

Figure 87 Export formats drop down menu. 80

Figure 88 L1C Zoom in / out / around Tool 80

Figure 89 L1C Snapshot ID selector box. 81

Figure 90 L1C Incidence Angle Selector 81

Figure 91 Measurement Counter Projection L1C example. 82

Figure 92: BT vs Incidence Angle Selection Menu. 83

Figure 93: BT vs Incidence Angle Chart 84

Figure 94 L1C browse product visualization example (North orthographic projection) 85

Figure 95 L2 specific visualization feature window.. 87

Figure 96 Field selection box (OS product on the left; SM product on the right) 89

Figure 97 Flags selection box. 89

Figure 98 Flags color transparency menu. 90

Figure 99 Flags transparency selection menu. 91

Figure 100 L2 field color scale. 92

Figure 101 L2 OS product visualization example. 92

Figure 102 Click on the “Error Mode” icon to start the error mode. 93

Figure 103 Error color scale. 93

Figure 104 Error mode display above SSS field. 94

9.2.4. Figure 105 AUX_SSS Zone PanelDummy Data Filtering. 95

Figure 106 Display DUMMY Values Option. 95

Figure 107: AUX_FARA Specific Visualization. 96

Figure 108: AUX_GAL_OS Specific Visualization. 97

Figure 109: AUX_GAL_SM Specific Visualization. 97

Figure 110: AUX_OTT Dual Pol Specific Visualization. 98

Figure 111: AUX_DTBCUR Specific Visualization. 100

Figure 112: AUX_DTBXY World Map. 101

Figure 113: AUX_DTBXY Charts Panel 101

Figure 114: Star Domain Representation. 107

 

1. INTRODUCTION

1.1. Purpose and Scope

This document provides a detailed guide to using the SMOSView tool for viewing data from the Earth observation data products contained in binary files. It explains how this data can be extracted, decoded and displayed using various visual representations, including images where appropriate, and exported in a variety of formats.

1.2. The SMOSView mission

SMOS is an Earth Explorer mission dedicated to analyzing the soil moisture and ocean salinity. These parameters are two key variables used within models developed to study the meteorology and hydrology of the Earth. The European Space Agency launched a program aimed at deriving these parameters from Earth satellite observation data, resulting in the SMOS mission.

The SMOS satellite will carry a specific payload named MIRAS (Microwave Imaging Radiometer with Aperture Synthesis), a two dimensional L-band interferometer radiometer. This instrument will measure the brightness temperature field from which soil moisture and ocean salinity are derived.

INDRA is responsible for implementing the Data Processing Ground Segment (DPGS). This processing facility will ingest raw data down-linked from the SMOS satellite and produce data containing the ocean salinity and soil moisture parameters.

Developing a data processing ground segment is a complex task and requires a data visualization tool. This tool is used to visualize the content of binary data files generated by the ground segment and verify their content. The SMOS Data Viewer is called SMOSView in the following part of this document.

SMOSView is a tool capable of opening and decoding SMOS data. It then displays the contents as tables, graphs as appropriate.

1.3. Structure of the Document

After this introduction, the document is divided into a number of major sections, which are briefly described below:

q  Chapter 2 presents the SMOSView application and its functionalities.

q  Chapter 3 details the first steps to use SMOSView; installing the software, system set-up and the User Interface.

q  Chapter 4 explains how to view product content and format description

q  Chapter 5 describes plotting capabilities of SMOSView

q  Chapter 6 details visualization features of L1A data

q  Chapter 7 details visualization specific features of L1B data

q  Chapter 8 details visualization features of L1C data

q  Chapter 9 details visualization features of L2 data

q  Appendix A is about the BinX to Xin converter

q  Appendix B gives the Prerequisite on the system set-up for printing from SMOSView GUI

q  Appendix C details Phase calculations in SMOS Data Viewer plots

q  Appendix D may be useful to scientific users who want to understand how SMOSView performed the transformations to switch from L1B Fourier components of BT to L1B reconstructed BT

 

1.4. Abbreviations and Acronyms

The following terms have been used in this report with the meanings shown.

 

Data Set

A collection of data set records in an SMOS product.

Data Set Record

A collection of data fields of certain sizes and data types.

Dialog

A window that displays information or presents options to the user.

Focus

The destination of keyboard input.

Java Runtime Environment

The software required to run a Java application

Product

An SMOS data file

View

A manner of visualizing data. E.g. a Graph View or an Image View.

 

 

 

Table 1: List of Terms Used in this Document

 

The following acronyms have been used in this document:

 

ASCII

American Standard Code for Information Interchange

ADS

Annotation Data Set (time stamped processing data)

BT

Brightness Temperature

COTS

Commercial Off The Shelf Software

DSD

Data Set Descriptor

ESA

European Space Agency

GIF

Graphics Interchange Format

GUI

Graphical User Interface

HDF

Hierarchical Data Format

HMI

Human Machine Interface

HTML

Hyper-Text Mark-up Language (web page format)

ID

IDentifier (of snapshot)

IDL

Interactive Data Language

IEEE

Institute of Electronic and Electrical Engineers

JPEG

Joint Photographic Expert Group (image format)

JVM

Java Virtual Machine (also Java VM)

data block

Measurement Data Record

MPH

Main Product Header

OS

Ocean Salinity

PDS

SMOS Payload Data Segment (systems processing and archiving data)

PPM

An image format common on Unix

RGB

Red Green Blue

SDV

SMOS Data Viewer also named as “SMOSView”

SM

Soil Moisture

SMOS

Soil Moisture and Ocean Salinity

SPH

Specific Product Header

TIFF

Tagged Image File Format

UDP

User Data Product

VM

(Java) Virtual Machine (used to run java software. Also JVM)

Table 2: List of acronyms used in this document

2. The SMOSView application

The SMOSView software enables a user to decode and display data from SMOS products, display the contents as images or graphs and export the data to a number of alternative formats.

SMOSView is a tool providing a quick and easy look at SMOS data products. Ease of use is emphasized through its simple graphical user interface for data exploration and visualization. This version is intended in particular for the following purposes:

q  Browse through data files and display their content (see section 4),

q  Provide plotting capabilities (see section 5)

2.1. Limitations of SMOSView

SMOSView is not intended for a detailed analysis, visualization and processing of Earth observation data. There are other commercial and proprietary tools providing these facilities and with many specialized options. However, SMOSView allows selected data to be exported to IDL to support more complex analysis.

Widely used commercial packages include:

q  IDL & ENVI       http://www.ittvis.com/

q  Matlab       http://www.mathworks.com

q  Mathematica   http://www.wolfram.com/

q  Noesys      http://www.ittvis.com/

q  PV-WAVE     http://www.vni.com

2.2. SMOSView data format

SMOSView is able to handle multiple versions of any Earth observation data products, as long as the product formats are described in the SMOSView format database.

SMOSView handles all these products thanks to the XIN language, an XML meta-data language used to describe the content and structure of any binary data file. The use of XIN language within SMOSView is fully described in the SMOSView Software Specification document.

 

2.3. User feedback and bug report

User feedback is essential for improving SMOSView and comments and bug reports can be sent directly to the ESA Earth Observation Missions Helpdesk:

mailto:eohelp@esa.int?subject=SMOSView%20Bug%20Report

When making a bug report, please include the following information:

From the “About” SMOSView option in the Help menu:

q  Operating System & Machine Type

q  Java version, vendor name and vendor specific

q  SMOSView and data format version numbers

q  Steps leading to problem

q  Any text sent to the terminal

We would like to thank all those who are kind enough to send bug reports and feedback. Every message helps to make the tool better for everyone in the future.

3. Getting started with SMOSView

This chapter presents the first steps to complete before using SMOSView, i.e. installing SMOSView on various platforms and starting the tool.

3.1. Known Issues

The following list presents the known issues of SMOSView that may affect the user interaction with the application:

q    The tool has been tested and supported for Windows XP, Vista and 7 (32 and 64 bits installations). For Windows 8 it is only possible to install the 32 bits installation package. 

q  The Specific Visualization feature of the OTT data from AUX_DTBXY a AUX_DTBCUR products takes around 30 seconds to load. Please wait while the buttons are disbaled on the visualization panel.

q  During any Specific Visualization on the World Map the points projected may disappear on some zoom levels. If that happen please center again the map with a click on the center of the navigation arrows.

3.2. Your system setup

SMOSView is a Java application; it can run on any platform. The main requirement for the usage of the tool is RAM memory.

The minimum amount of memory required to launch SMOSView is equal to 512 megabytes, this will allow to use the browse product feature and perform some basic plots (using the chart) of small products.

To use comfortably SMOS View and take advantage of the specific visualization feature up to Level 1C it is recommended to have at least 1 GB of memory. To use the specific visualization of L2 ADFs and L2 products it is recommended to have 2GB dedicated to SMOS View.

SMOSView is fully supported only on Java 1.5, which is included in the installation package. For more information please refer to www.java.com.

NOTE: On 64 Bit operating systems installations, the library glibc-32 bits version is required to be installed.

3.3. How do I install SMOSView?

SMOSView provide installation packages for Microsoft Windows, Mac OS X, AIX, Solaris, Linux and HP-UX operating systems.

Unzip the archive, open the file “install.htm” with your web browser and download the installation file for your architecture. The installation instructions presented below are also available in the page.

Windows XP, Vista, 7:

·         After downloading, double-click “install.exe”

·         You do not need to install any other software. A Java virtual machine is included with this download. 

Windows 8/10 32 bits installation

·    After downloading, right-click on “install.exe” and select "Properties"

 

Windows 8/10 64 bits installation

 

Mac OS X:

·         After downloading, double-click “install”.

·         Requires Mac OS X 10.4 or later

·         Be sure you have Java Virtual machine compliant with version 1.5 installed.

·         Make sure that the system allows the installation of software downloaded from everywhere. This can be set in "System Preferences" -> "Security & Privacy".

·         The compressed installer should be recognized by Stuffit Expander and should automatically be expanded after downloading. If it is not expanded, you can expand it manually using StuffIt Expander 6.0 or later.

AIX / Linux / HP-UX:

·         After downloading open a shell and, “cd” to the directory where you downloaded the installer.

·         At the prompt type:  “sh ./install.bin”

·         A Java virtual machine is included with this download. It will run automatically when you run the shell script.

3.4. Update of New Product Schemas

SMOS View install by default a “jar” file (smos-formats-plugin-SNAPSHOT.jar) containing the latest XIN and XIS SMOS product schemas available on the date of the release, however new schemas releases may happen and this does not mean that a new version of the software shall also be distributed.

SMOS View has the possibility to replace the product schemas jar file with a newer version and the new products can instantanely be read. The process is very simple; the user just needs to replace the old “smos-formats-plugin-SNAPSHOT.jar” file with the new one.

The “smos-formats-plugin-SNAPSHOT.jar” is located in the directory where SMOS View was installed.

3.5. How do I start SMOSView?

In order to run SMOSView:

q  On Microsoft Windows: In the 'Start' menu, click on the SMOSView shortcut in the SMOSView group menu.

q  On an X Windows system (UNIX/Linux) or a BSD based system (Mac OS X): Open a terminal and cd in the SMOSView installation directory. Then type  ./SMOSView.

3.6. The SMOSView User Interface

When SMOSView starts, a large window appears containing a menu bar, a tool bar and an area just below known as a buffer, as shown in the Figure 1.

Figure 1 SMOSView start window (From top to bottom: Menu bar, Tool Bar, Buffer)

A window may contain many buffers, and a drop down list at the top of the buffer area is used to switch between buffers; the buffer selection box. To open this selection box as shown in the Figure 2, the user has to click on its label. In this example, the buffer selection box is labeled:
[FILECHOOSER] C:\SMOSView\SMOS TEST PRODUCT\L1A-L1B.

 The buffer selection box could also be labeled [BROWSER] followed by the product name if a product is being browsed or [SMOSSVF] followed by the name of the product if the product is being studied with the Specific Visualization Features.

After more than one buffer has been opened, it is possible to come back to a dedicated buffer by clicking the buffer selection box located under the main window icons and selecting the buffer of interest.

 

Figure 2: Buffer selection box

Multiple buffers can be displayed in the window at the same time, by splitting the window horizontally and or vertically. It can be done by choosing “Split horizontally” or “Split vertically” in the “Window” menu of the menu bar (see Figure 3 and also Section 3.9, Window Menu Figure 8).

Figure 3: How to split window

Split window sections can be closed by “Unsplit” in the “Window” menu of the menu bar.

The same list of buffers is available in each split window section.

Multiple windows may also be opened (see Figure 4, where 4 window-areas have been opened), and within each window, an independent list of buffers may be opened.

Figure 4: Multiple (x 4) windows opening

A buffer is a SMOSView window containing a set of functionalities/tools associated with a product. Once a product data file is selected with the File Chooser buffer as described in section 4.1 of this document, the user is able to use the SMOSView functionalities associated with the selected data product by opening a Lat/Long plot, a Plotter or an Image Viewer buffer.

The use of the Format Manager buffer does not require any product to be opened before using it.

3.7. SMOSView buffers

Interaction with data files and the various tools and views provided by the application is through buffers. The current version of SMOSView provides the following buffers:

·         open File Chooser buffer – presents a view of the file system, and identifies compatible files that can be opened with SMOSView

·         AZ Export to ASCII – allows to export selected data to an ASCII file (.txt extension)

·         idl Export to IDL – allows to export selected data to IDL (2 files are created with .pro extension and .dat extension)

NOTE: There is a limitation on the export IDL feature on variable size arrays. IDL export works correctly if only one pixel is exported. When more than one pixel is exported only the first N-measurements for each pixel are exported. N is the number of measurements of the first pixel selected.

·         browse New Browser buffer – presents a view of the contents of a data file.

·         plot New Chart – allows the user to plot data

·         smos_svf SMOS Specific Visualization features – allows the user to analyze SMOS L1A, L1B, L1C and L2 products

·         mngr New Format Manager buffer – presents a description of each of the file formats supported by SMOSView.

·         subset New Subset Selection buffer – allows the user to select a data set inside the product

·         help Help – opens the user guide in HTML format

 

3.8. The first steps

After starting SMOSView, the default window appears which contains a single File Chooser buffer. This allows one to navigate the file system and select a file that can be opened in the application.

At this stage, all the available menus are displayed, but many of the menu items are disabled.

To start viewing data, select a compatible file in the File Chooser, and open a buffer to view the contents (via the toolbar or the buffer menu).

It is also possible to view format descriptions for compatible files via the Format Manager.

The File Chooser buffer is described in section 4.1 and the Format Manager buffer is detailed in section 4.2.

3.9. SMOSView menu tour

This section describes the menus available in SMOSView in version 1.5.2.

The File menu enables the user to open a File Chooser buffer or quit the program.

Figure 5: File menu

The View Menu enables the user to open a Browser buffer or a Plotter or specific visualisation features buffers. The buffers are only available once a product has been selected (see section 4.1). The Browser, Plotter and specific visualisation features will only be available if a compatible data file has been selected. After selecting a product, if the user tries to use SMOSView functionality not available with the product, SMOSView will display an empty window.

Figure 6 View Menu

The System menu enables the user to open the Format Manager buffer, providing a description of the formats contained within SMOSView, as well as a New Logger buffer, giving detailed information on the current SMOSView session as to memory usage, Java version and error reporting.

Figure 7 System Menu

The Window menu enables the user to open a new window, close a window, or split/unsplit a window.

 

Figure 8: Window Menu

Splitting a window is useful for working with more than one product, or visualizing an image and the related data product file at the same time. (i.e. two or more buffers simultaneously)

For example, a Format browser buffer and an Image Viewer buffer may be viewed side by side by clicking on the Split horizontally menu item, and then selecting the Image Viewer buffer in the second split section.

The sixth menu in the menu bar is buffer specific, it means it depends on the content of the current buffer. This 6th menu provides access to options specific to each buffer type:

q  When a file chooser is opened, the 6th menu proposes either to go to the home folder, or to the parent folder, or to refresh the current window :

q  When a browser is opened, the 6th menu proposes various options to visualize the content of the selected product: visualization mode selection (normal mode, flat mode, Hex mode, Semantic mode, or tabular mode), browsing options (go to the parent element, to the previous or the next brother, to the previous or the next cousin, or printing options:

q  When a Plotter buffer is opened, a Plotter menu appears. Depending on the selected field (Plot/Series/Data), the selectable options are different. They could be: Add Plot, Add Series from product, Add XY series, Add data from file, Add data from product, Remove node, save template, export chart, or print chart:

 

q  When the specific visualization feature (SVF) buffer is opened, the 6th menu is not an SVF specific menu but the help menu:

 

The Help menu provides an access to the user guide (based on this document).

Figure 9: Help Menu

 

After a buffer is opened, right clicking in a buffer will display additional context sensitive menu options, associated with that buffer as well as a shortcut to some the menus in the menu bar. For example after opening a Format Browser, right clicking in the buffer will display the following menu:

right8click

Figure 10: Right-clicking example
 

3.10. SMOSView toolbar

Below the menu bar, a toolbar is provided as shortcuts for common tasks:

q  File chooser

q  Export to ASCII

q  Export to IDL

q  Format Browser 

q  Plotter

q  SMOS Specific visualization features  

q  New Subset Selection

q  HTML format description

q  User guide

 

 

icons

Figure 11: SMOSView Icons

 

Toolbar icons are only highlighted when the associated functionality is ready for use. For example, after opening SMOSView, the "Export to ASCII" is greyed, as there is no file open to export data from.

 

3.11. SMOS View Known Problems and Limitations

Before the user starts to use SMOS View, it shall be clear that the tool have some limitations and some known problems specially on big product files. This section contains some important information related to these issues and will be updated along with the new releases of the tool.

4. Viewing DATA content

This chapter details the use of SMOSView for viewing products.

4.1. File Chooser buffer

In order to select a product for analysis in SMOSView, select a File Chooser buffer (one is opened by default at startup), or click on the "New Filechooser" icon.

 

Figure 12: New file chooser icon

Figure 13: File Chooser buffer

It is possible to navigate through to common directories using the “Home directory”, “Parent directory”, or “Drive selection” toolbar icons.

 

q  Home directory icon: 

q  Parent directory icon:

q  Refresh view icon:

q  Previously accessed directory:

q  Drive selection:

 

Figure 14: File chooser icons

The “Refresh view” icon enables the user to update the view of the current folder if a file has been added/deleted from/to the folder since list was first displayed. The location bar provides the location of the selected directory/file. Folders are highlighted with a blue icon.

Figure 15: Folder icon

Double click on a folder to view its contents. Use the Parent directory toolbar icon to go up to the directory level above the current list.

Once the data is located, files compatible with SMOSView are highlighted with the following icon:

Figure 16: Compatible file icon

 

It is then possible to select the data of interest by simply clicking once on the file of interest. Once the file is selected, it is highlighted in yellow.

To open a compatible data, the user has to double click on its name. The data will then be automatically opened in a new Browser buffer, displaying the content of that file (see section 4.3).

After selecting a product, a user can browse through its content using the format browser.

To open a file, the user can either double click on its header name (.HDR) or on its data block name (.DBL).

It is also possible to browse some intermediate products such as CORN1A and UNCN1A in EEF format. In this case SDV automatically generate the corresponding HDR and DBL files allowing the user to browse the content.

4.2. Format Manager Buffer

In order to view format descriptions of compatible data files, click on the "New FormatManager" icon.

Figure 17: Format manager icon

Figure 18: Format manager buffer

The FORMAT MANAGER buffer contains the list of file formats that are recognized by SMOSView and potentially multiple versions of each format.

The version gives the global version of the format, not the header or the datablock version.

The list is obtained by inspecting the formats shipped with SMOSView, therefore the list is always in line with the list of products that can actually be read using SMOSView.

Double click on any of the formats to visualize the detailed description.

Figure 19: HTML format description example

Format information is available as a hierarchy, through which one navigates by clicking on blue links “Details”, similar to a web page.

Once the “Details” page opened, it is also possible to navigate through the format descriptions using the "Previous page", "Next page", or "Reload page" toolbar icons placed in the top left corner of the window.

Figure 20: HTML format description navigation icones

4.3. Browser buffer

Select a file in the File Chooser (section 4.1) and create a Browser buffer by either double clicking on the product file, or clicking once on the highlighted "New Browser" icon.

 

Figure 21: New Browser icon

 

Figure 22: Browser buffer example

The Browser buffer has a number of display modes; Normal mode, Flat mode, Hex mode, Semantic mode and Tabular mode. By default, the Browser buffer opens in Normal mode.

The buffer is divided in two panes: On the left-hand side we find a hierarchical view of the content of the file and on the right-hand side, we find the content of selected parameter or structure, and interpretation of the field values and description.

A tool bar is displayed at the top of the buffer with a number of toolbar icons to allow switching between the different modes and navigating through the selected file.

 

q  Normal mode

q  Flat mode

q  Hex mode

q  Semantic mode

q  Tabular mode tab_mode

q  Parent element

q  Previous element

q  Next element

q  Previous cousin

q  Next cousin

q  Print browser panel print_icon

 

data_browsing_icons

Figure 23: Data browsing icons

There are two types of icons within the browser window:

q   Representing a data container.

A data container can contain other data containers or leaf nodes.

q   Representing a leaf node, containing data.

4.3.1. Search function

The user can search for a field name or a value within the product with the search function at the bottom of the browser window.

4.3.2. Data browsing in Normal mode

One single click on a container (blue-folder icon) in the left-hand pane will display the content of the container in the right-hand pane.

Double clicking on a container in the left-hand pane will provide the content of the container in the right-hand AND left-hand panes.

It is also possible to browse through a product with one single click on the tree opening symbols associated with a data container in the left hand pane:

·          tree opening symbol

Clicking on a leaf node in the left-hand pane will provide a view of the parent node in the right-hand pane; the selected leaf node will be highlighted in the right-hand pane.

It is also possible to visualize the content of a container by double clicking on it in the right-hand pane. In this case, the container is highlighted in the left-hand pane.

It is possible to browse through the product using the “Parent element”, “Previous element” and “Next element” icon. Using the “Next” and “Previous” icons enables the user to view the next or previous element within a container. Using the “Parent” icon enables the user to view the higher-level data container.

In the context of SMOSView, two cousins are data containers or leaf node belonging to a repeated structure within a data block. It is also possible to browse through the products clicking the Previous cousin and Next cousin Icons. When a leaf node or data container is selected within a data block, clicking on the next/previous cousin will provide same leaf node or data container view of the next/previous data block.

Example: for a SMOS L1B data product, the user selects and clicks on the Snapshot_ID in a container “binary-data/Data_Block/Temp_Snapshot_dual/ Temp_Snapshot_dual/item 7”.

=> Clicking on the Next cousin icon, SMOSView will show the Snapshot_ID of “binary-data/Data_Block/Temp_Snapshot_dual/ Temp_Snapshot_dual/item 8”.

When a leaf node is selected, the location bar provides the path to the higher-level container. When a container is selected, the location bar provides the path of the container within the product.

4.3.3. Interpreted data

“Interpreted data” are elements of a data file whose numerical value is translated into human readable form.

For example, considering a SMOS L1B product, in the container:

“binary-data/Data_Block/Temp_Snapshot_dual/ Temp_Snapshot_dual/item 7”, the field “Flags” is interpreted. The field can have a number of integer values, but SMOSView is capable of decoding the meaning of those values. For instance the value 0 corresponds to H (horizontal polarization).

The same applies to an other field in this container: for example Snapshot_Time (day 2610 has been interpreted as 23-Feb-2007).

In the right-hand side window, interpreted data appear within a yellow box:

interpretation

Figure 24: Interpreted data representation

Interpreted data can apply to leaf nodes or containers.

For example, in the SMOS L1B data product, the Snapshot_Time container, consists of 3 fields: Day, Seconds, and Microseconds, but can be interpreted as a human readable time.

It is also possible to read the numerical value associated with an interpreted data when a data container is interpreted. Double-click on the data container, SMOSView will display the numerical value of the interpreted fields. Clicking back on the parent data container changes the field back to the interpreted value.

4.3.4. Ignored data

If SMOSView expects to read an integer, and read an unsigned integer the product, it is flagged in the following way:

Figure 25: Ignored data flag

4.3.5. Other data visualization modes

Data selected in “Normal” mode can be visualized in other modes using the icons placed on the top left hand side of the BROWSER.

q  "Flat mode”:

If a container is selected, all data within the container are displayed in the right-hand pane down to the lowest leaf level in a hierarchical order. If a leaf node is selected, the parent container is displayed in flat mode in the right-hand pane.

Figure 26 Flat Mode

q  "Hex mode”:

In Hex mode the whole product file is displayed in hexadecimal format in the right-hand pane. The data selected in the browse tree is also highlighted in yellow in the right hand pane.

Figure 27 Hex Mode

q  “Semantic mode”:

This mode shows all the semantic data contained within a field of interest. In the case of SMOSView, it should not be useful, except for L3 or L4. The semantic data is limited to images. If a product or a subset of a product contains an image, clicking on the semantic mode icon will display the available images and related channels in the right-hand pane.

 

Figure 28: Semantic mode display

Using the semantic mode, it is possible to open an Image Viewer buffer by selecting one or more channels from the right-hand pane. The user can select to visualize a single channel of interest with a simple mouse click. To select multiple channels of interest hold the “Ctrl” key pressed and click on the additional channels until they are highlighted.

 

q  “Tabular mode”:

To use this mode, the user needs to select a sequence of data or an array (which could be a data container).

The tabular mode allows to visualize all the selected values (or the values contained in the array) in a table that may be transposed (see Figure 29).

To transpose the matrix, click on the upper left cell labeled “tt”.

The elements of the transposed table (see Figure 30) can be copied/pasted in another application.

Figure 29 Tabular Mode

Figure 30 Transposed table from the tabular mode


4.4. Export a product subset to an ASCII file

The Export to ASCII can be performed in two ways:

4.4.1. Export data using the Browser buffer

In order to export a product subset to an ASCII file, it is first necessary to select the data of interest inside a Browser buffer.

When the Browser is in “Normal mode” or “Flat mode”, use the right-hand pane to select containers and/or leaf nodes of interest that you would like to export.

To select multiple items, hold the “Ctrl” or “Shift” key while selecting containers and nodes.  (CTLR + Click for selecting non-consecutive items, Shift for selecting consecutive items).

Upon pressing the "Export to ASCII" icon in the toolbar AZ, an "Export to ASCII" dialog box appears allowing you to perform an ASCII export.

Figure 31: "Export to ASCII" dialog box

You can then choose to perform a Hierarchical export or a Tabular export.

With the Hierarchical export, the user can choose to export:

·         the element name

·         the element offset

·         the element value

·         the element unit.


Figure 32: ASCII export example

The example in Figure 32 shows the type of output that is produced by the "Export to ASCII" Hierarchical option. Note that the file has a ".txt" extension.

With the Tabular ASCII, the user has the possibility to select the separator type as well as inserting a column header or not. The Tabular ASCII is very useful if the user wants to export its data in Excel for example. In that case, the user should set as a separator a single comma “,” and then save the file in the csv format. The user can then open the saved file using Excel.

It is important to notice that the Tabular ASCII export function needs to be used with properly selected coherent data. If you try to export a two dimensional array structure over a repeated number of data blocks along with data contained in the product header for example, there is no guarantee that the export will be satisfactory. On the contrary, if the selected data is coherent, i.e. the selected data is of the same hierarchical level, and containing no dummy data, the Tabular export to ASCII is the perfect tool for allowing further processing with other tools.

4.4.2. Export data using the New Subset selection

It is also possible to select the data to export clicking on the “New Subset” icon. Select a file in the File Chooser (section 4.1) and click on the “New Subset” icon. The following Window appears:

Figure 33: Subset selection Window.

On the top left hand side window area, the user can find the following Icons:

 

Figure 34: Subset selection icons.

The user can then click on the New Subset blue icon subset: he has to enter a name for the new subset to be created and click OK:

Figure 35 New subset dialog box

Then the product structure will appear in the right-hand side window. The user can then select and browse through the product structure and select the data to export simply clicking in the selection box attached to the data to be exported (see Figure 36).

Figure 36: Selected data for export example

The user can then save the created subset, rename it or delete it clicking on the icons presented in Figure 34: Subset selection icons. The saved subset will be available next time the user opens the product. 

When a product is made of repeated data structures, you can use scroll bars at the bottom of the selection window to select the subset of data to export, as shown in the example below:

Figure 37: Selection of data with scroll bars

The selected data product contained 2791 Scene_BT_Fourier items. For the scroll bars to be available, the user needs to click on the item array container Scene_BT_Fourier [1..2791] selection box. This makes the scroll bars appear, the user can then select a subset of items to export by dragging the cursors along the bar by clicking and dragging one of the cursors with the left mouse button pressed.

To complete the export, the user must click on the Export to ASCII Icon in the tool bar and proceed in the same way as described in the previous paragraph.

Once more, the user must select data carefully to perform a valid Export in a Tabular format.

5. Plotting Data

SMOSView allows the user to perform 2D and 3D plots using the 2D plotter buffer and the 3D plotter buffer.

In order to avoid out of memory issues caused by the chart plugin, the maximum number of points that is possible to plot is limited to the first 600.000. If the user tries to plot a variable with a higher number of points a warning message is displayed and the limited plot is produced.

NOTE: It shall be noted that in versions of SDV prior to 1.5.2 the data is loaded in memory and then displayed. Any change on the display preferences will imply a reload of the data into memory.

5.1. 2D plots

In order to use the 2D plot, the user must select first a file using the File Chooser buffer as presented in section 4.1 of this document.

The user can then click on the New Chart Icon plot; the following window appears:

Figure 38: Plot default window

The following icons are available on the top left hand side of the plotter window:

plot_icons2

Figure 39: Plotter buffer icons

From left to the right, the following Icons provide the following functions:

·         Add plot

·         Add Series from Product

·         Add XY Series

·         Add data from File

·         Add data from Product

·         Remove Node

·         Save template

·         Export Chart

·         Print Chart

 

5.1.1. Plotting a data field against an auto-generated index

In the “Plot Templates” Box (Figure 40), the user must click on the magnifier icon loupe2 of “Plot_1”, then “Serie_1”, then “Data_1”.

plot_template

Figure 40 Plot Templates box

A new panel, the “Data Panel” box becomes active (Figure 41), below the Plot Templates box.

data_panel2

Figure 41 Data Panel

The user must browse inside the data to select data field of interest to be plotted with the Product Tree (See panel on the lower left, Figure 42): The user has then to click on the field of interest to plot it.

product_tree

Figure 42 Product Tree

While browsing the data deep inside the “Product Tree” another panel becomes active, which is the “Chart Panel” (big window in the middle). It corresponds to the panel where the plot is displayed, as seen in Figure 43.

The plotter will then try to display the selected data field. If the selected data field is contained within a repeated structure inside the data product file, the plotter will show the selected data field value against the repeated data structure index.

If the data field is contained inside two subsequent repeated data structures, the user has the option to select the index of one data structure or the other.

Figure 43 Plot screen - Chart Panel


Let’s have a look at the following example:

Let’s assume that the field Y_TO_PLOT is contained within an array or structure called CONTAINER_LEVEL_A of size N. Let’s assume that CONTAINER_LEVEL_A is contained within an array or structure CONTAINER_LEVEL_B of size M and so on.

 

CONTAINER_LEVEL_C 1

 

CONTAINER_LEVEL_B 1

 

          CONTAINER_LEVEL_A 1

              Y_TO_PLOT 1

              Y_TO_PLOT 2

              Y_TO_PLOT 3

              …..

              Y_TO_PLOT N

 

          CONTAINER_LEVEL_A 2

              Y_TO_PLOT 1

              Y_TO_PLOT 2

              Y_TO_PLOT 3

              …..

              Y_TO_PLOT N

 

              …………..

 

In such a case, the user may want to plot:

·         Y_TO_PLOT data can be plotted against indices of the CONTAINER_LEVEL_A 1 array

·         Y_TO_PLOT 1 can be plotted against CONTAINER_LEVEL_A 1, CONTAINER_LEVEL_A 2 and so on.

·         Y_TO_PLOT 1 of CONTAINER_LEVEL_A 1 can be plotted against CONTAINER_LEVEL_B 1, CONTAINER_LEVEL_B 2 and so on.

·         Y_TO_PLOT of CONTAINER_LEVEL_A 1 in CONTAINER_LEVEL_B 1 can be plotted against CONTAINER_LEVEL_C 1, CONTAINER_LEVEL_C 2 and so on.

In all cases, the “Array” menu will offer the possibility to select different (X, Y) data sets at the following level of the data block: CONTAINER_LEVEL_A, CONTAINER_LEVEL_B or CONTAINER_LEVEL.

 

data_panel

Figure 44: Array Panel

The user can also select the index range using the sliders under the array index selection box to modify the selected data. To change the slider position, set the mouse cursor over the slider icon, click left with the mouse and maintain the button clicked, drag then left or right the mouse.

Figure 45: Data value against data container index

5.1.2. Plotting two data fields against each other

The user can create an XY plot with data contained inside the product data file:

First, repeat the previous steps to select data to be set on the X axis.

To select data to be set on the Y axis, click on the Serie_1 Icon , click then on the “add data from product” icon . A Data_2 icon appears in the Plot Templates box, and the Plot_1 icon changes as well to the “add XY series”. See Figure 46.

Figure 46: XY series Plot template

The user must then browse through the product tree to set data on the Y axis just as he did for the X axis, opening and browsing through the product tree.

Note that X-axis data always corresponds to the first (upper) icon in the Series list and the Y-axis always corresponds to the lower one.

Figure 47: XY series example

 

 

5.1.3. Importing external data

With the SMOSView data plotter, it is possible to import numerical data stored in a file on a computer.

If the user clicks on the Plot_1 icon , and then clicks on the add XY series , the following appears:

Figure 48: XY series with external data

The Data_3 icon corresponds to X-axis data that must be imported from an external data file.

In this example, let’s click on the Data_3 icon: The following menu appears:

 

Figure 49: Import file menu

The user can then Click on the “Browse” tab and select a file containing numerical values. Data to be imported must be contained in an ASCII file with one single value per line.

As an example, let’s import the following file:

 

Figure 50: Import file example

The user can then complete the plot by clicking on the Serie_2 icon  and then on the “Add Data From Product Icon”  to select data to be set on the Y-axis as described in the previous section.

Data can also be imported on the Y-axis. When the plotter is in the configuration described in section 5.1.2, instead of clicking on the “Add Series From Product” icon, the user can click on the “Add Data From File”  icon and follow the same steps described here above to import the data file.

5.1.4. Multi plot visualization

The user can visualize several plots in the same chart within the Plot_1.

He must select the first series with the product tree following the steps detailed previously.

He will add another series in the chart by clicking on Plot_1 icon , and then clicking on the “Add Series From Product” icon. The user can follow the steps for data selection with the product tree as described in the section here above.

The user can see the resulting plots on the same graph by clicking on the Plot_1 icon .

 

Figure 51:  Multi Plot example

For the multi-plot to be available and easy to read, the user shall take care about the data selected on the X-axis and make sure that the ranges and X-axis units are coherent. For example, if the user creates a first curve whose X-axis values range from 1 to 10 (Index), and a second plot whose values range from –100000 to +49000 (mm), there will be a visualization issue on the multi-plot display.

As a rule, the multi-plot will use the unit (or index) of the first plot created within the Plot_N template and only show those curves whose unit (or index) is the same as the first plot.

Data on the Y-axis can be of any unit, the corresponding scale will be shown on the right hand side of the multi-plot.

The user can create any number of multi-plots by clicking on the “All plots” icon and then clicking on the “Add Plot” icon.

Figure 52: All plots icon

 

5.1.5. Deleting a plot or data selection

The user can easily remove individual plots, by clicking on the plot icon (typically, Serie_N icon) and then clicking on the “Remove Node” icon.

Figure 53: Remove Node icon

He can also remove entirely a plot (typically, Plot_N icon), and click on the “Remove Node” icon.

5.1.6. Saving a plot Template

The user may want to be able to plot the same data fields using different product files of the same type. SMOSView allows the user to save a plot template and reuse it with other data products of the same type.

To save a plot template, click on the “All plots” or “Plot_N” icon and then on the “Save Template” icon.

Figure 54: Save Template Icon

The next time the user opens the data plotter buffer, the plot templates will be automatically loaded in the “Plot Templates” box and the related plots available for visualization.

5.2. Plot settings

Plot settings are easily configurable.

Plot name:

Although the data container names (Plot_L, Serie_M, Data_N) are auto-generated, the user can change these names by clicking on the related icon the new desired, entering the name in the Title box and pressing enter.

Figure 55: Title renaming example

When the plot is renamed, the new name will appear on top of the plot.

NOTE: The names shall be different between all chart panels otherwise the references to the panels will be lost. This issue will be corrected on future release of SDV.

Plot color:

The user can also change the plot color, clicking on the Serie_N icon, the color menu appears.

Figure 56: color setting menu

Clicking on the Browse tab allows the user to select a color from the color table.

When setting the title color, the following dialog appears:

 

 

Figure 57: Plotter properties color setting

Select a color by clicking on one of color boxes. Then press OK to set the title to the selected color.

Clicking on the HSB tab, the following dialog appears:

 

Figure 58: Plotter HSB color setting

The user can then set HSB color components by clicking in the H, S, or B menu box. To select the appropriate value, the user must maintain the left mouse button pressed on the cursor and drag it up or down.

Clicking OK will apply the color settings to the title.

Clicking on the RGB selection box will cause the following menu to appear:

 

Figure 59: Plotter RGB color setting

 

The user can then set the RGB components of the color by dragging the RGB cursors using the mouse button.

Clicking Ok will apply the color settings to the title.

Zoom in / Zoom out:

It is possible to “Zoom-In” on a graph by clicking in the graph pane, maintaining the left mouse button clicked and dragging the mouse cursor down and to the right. The zoom-out can be performed dragging the mouse cursor upwards and to the left while maintaining the left mouse button clicked in.

6. L1A Specific visualization features

This section presents the L1A specific visualization features implemented by SMOSView. There are two L1A visualization features: the L1A visibility matrix and the star domain representation. The L1A specific visualization features apply only to the following L1A products:

 

L1A products

SM_XXXX_MIR_AFWD1A

SM_XXXX_MIR_AFWU1A

SM_XXXX_MIR_CRSD1A

SM_XXXX_MIR_CRSU1A

SM_XXXX_MIR_FWSD1A

SM_XXXX_MIR_FWSU1A

SM_XXXX_MIR_SC_D1A

SM_XXXX_MIR_SC_F1A

SM_XXXX_MIR_TARD1A

SM_XXXX_MIR_TARF1A

SM_XXXX_MIR_UAVD1A

SM_XXXX_MIR_UAVU1A

SM_XXXX_MIR_UNCD1A

SM_XXXX_MIR_UNCU1A

 

Table 3 L1A products to which L1A Specific Visualization Features apply

 

6.1. L1A visibility matrix

In order to use the L1A visibility matrix, the user must select first a L1A product file using the File Chooser buffer as presented in section 4.1 of this document.

The user can then click on the SMOS Specific Visualization Features Icon, the following window appears:

Figure 60: L1A visibility matrix example

6.2. What the plot shows

The plot shows four rectangular matrixes representing the complex data displayed in the Data Field drop down menu, in this case CALIB_VISIB. The plot corresponds to the L1A calibrated visibilities presented in the SMOS Level 1 and Auxiliary Data Products Specifications. The plots show:

·         Upper left plot: Real part of the complex L1A data

·         Upper right plot: Imaginary part of the complex L1A data

·         Lower left plot: Amplitude of the complex L1A data

·         Lower right plot: Phase of the complex L1A data

Four rectangular matrixes are displayed, one matrix per real / imaginary / amplitude or phase of the complex number selected by the drop down menu of the selector field. The lower part of each matrix is filled out with the complex conjugate part of the upper part. Each value extracted from the product is represented using a grey level scale.

NOTE:

In the case of CRSx1A products, the Amplitude matrix shows the consolidated averaged FWF Origin amplitude (Cons_Ampl_FWF_Origin), and shall consist of 1 data set record. This structure shall contain the complete set of calibration parameters for every pair of receivers, expressed as a real value (FWF Origin amplitude only).

The Phase matrix shows the Cons_Phase_FWF_Origin structure consisting in a number of data set records with parameters obtained after correlated noise injection in odd and even sources during FWF Origin or Local Oscillator Calibration Sequences. There shall be as many Data Set Records as LO Phase Tracking events plus FWF Origin Sequences.

User will be able to navigate through all the phase measurements, however the Amplitude shall remain constant.

6.2.1. Features available

6.2.1.1. Zoom in / Zoom out:

It is possible to “Zoom-In” on a graph by clicking in the graph pane, maintaining the left mouse button clicked and dragging the mouse cursor down and to the right. The zoom-out can be performed dragging the mouse cursor upwards and to the left while maintaining the left mouse button clicked in.

6.2.1.2. Hide parameters to magnify visualized data:

Each feature has such a magnifying glass sign before: loupe. The user can hide/unhide the functionality’s parameters by clicking on this magnifying glass. It allows the user to save space on the screen to better observe the data. When the functionality’s parameters are hidden the icon slightly turns: loupe2

6.2.1.3. Plot Type

plot8type

Figure 61: Plot Type drop down menu

The user can select two different plot types using this drop down menu, Square Matrix or Star Domain visualization.

6.2.1.4. Snapshot and title settings

snapshot_settings

Figure 62: Snapshot setting details

Snapshot settings give information concerning the current snapshot to the user:

-       Universal Time Coordinated (UTC) of the snapshot

-       Polarization of the snapshot (H: Horizontal, V: Vertical)

-       Data field: plotted data fields are predefined. In the case of MIR SC D1A, the L1A specific visualization features, only the data field CALIB_VISIB is available. But the user can select a UNC 1A product. In this case, the Data field drop down menu offers two predefined data fields to be visualized using the L1A specific visualization features: MEAN_OFFSETS and UNC_OFFSET_CORRECTION. The user simply needs to click on the data fields he wants to visualize.

Figure 63: Data field drop down menu example

-       Title settings: allow the user to overwrite the title displayed above the real, imaginary, amplitude, and phase matrices. It is useful especially to export these matrices towards various formats (see next paragraph).

In the release 1.6.0 of SDV it has been included in this panel further more information regarding the product.

q  MIR_UAVx1A

Start_Time, Stop_Time, Correlator_Layer, Samples, Software_Error_Counter, Instrument_Error_Counter, ADF_Error_Counter, Calibration_Error_Counter

q  MIR_CRSx1A

Start_Time, Stop_Time, Correlator_Layer, Samples, Time_From_ANX ,Software_Error_Counter, Instrument_Error_Counter, ADF_Error_Counter, Calibration_Error_Counter

q  MIR_SC_x1A / MIR_TARx1A

Snapshot_Time, Snapshot_ID Snapshot_OBET , Antenna_Boresight, Max_Mkj_module, X –Band, Software_Error_flag, Instrument_Error_flag, ADF_Error_flag, Calibration_Error_flag

q  MIR_SC_x1B / MIR_TARx1B

Snapshot_Time, Snapshot_ID Snapshot_OBET , Antenna_Boresight, X –Band, Software_Error_flag, Instrument_Error_flag, ADF_Error_flag, Calibration_Error_flag

6.2.1.5. Value details

Figure 64: Value Details display

When the user drags the mouse over the plot, the complex values corresponding to the point under the mouse cursor are displayed in the Value Details box.

R: real part; I : Imaginary part; M: Magnitude (Amplitude); P: Phase.

X and Y are the line and column number.

 

6.2.1.6. Export

The user can use the Export box to export the displayed screen in various image, postscript, or PDF formats.

exportbox

Figure 65: Export Box

Click on “Export”. An export format box opens (Figure 66); then select the path and name of the file to be created, and the format to which you would like to export the matrices. An example of the JPG result is given in Figure 67.

Figure 66 Export formats

 

export

Figure 67 JPG export result

 

The user can step through the product and visualize consecutive snapshots contained inside the product, as explained at the end of this section. One way of identifying snapshots is the OBET, associated with a snapshot.

 

6.2.1.7. Color Table

The matrix values are displayed using a grey level scale, but the user can use color tables to display matrixes using false color. Clicking on the Color Tables tab in each matrix will display a predefined selection of color tables:

color_table

Figure 68: Color Tables menu

color_tables

Figure 69: Color table example

Clicking on the selected color table will assign the selected color table to the plot. The matrix plot is then updated.

Figure 70: L1A matrix representation using a color table

The user can visualize the color scale just next to the plot, by ticking the box “Display color scale in plot”. As shown in Figure 71, the color scale appears on the right of the plot with the range of values. The user can display or not this color scale in the plot by ticking / unticking the option. It allows the user to save screen space to visualize the data.

tick_color_scale

Figure 71 “Display color scale in plot” selected

The user can also select the minimum and maximum of the range to be displayed within the color table:

-       by moving the sliders located above and below the table color or

-       by entering new minimum and maximum values in the box and pressing “Enter”

-       by entering new minimum and maximum values and selection “Scale” option. This way the color values will be redefined according to the user defined range instead of the minimum and maximum of the product.

An example of the same matrix than above is given in Figure 72, instead of the whole range [-6.427; 2.978], only the values between 1 and 2 (see color scale in plot) are displayed within the whole dynamic of the color scale.

Figure 72 Min and max color scale range selection

6.2.1.8. Stepping through the product

The user can step through the data product and plot the next snapshot using the slider at the bottom of the plot. The user can also use the two buttons “-“ / “+” to step through the product and visualize consecutive snapshots.

snaphotID

Figure 73: Snapshot slider

To use the slider, click with the left mouse button on the slider, maintain the button clicked and drag the mouse cursor along the slider bar. To use the - / + buttons to step though the product and see consecutive snapshots, click on the – or + buttons.

6.3. L1A Star Domain

Using the Plot Type tab, select the Star Domain visualization, the following plot appears:

Figure 74: Start Domain visualization example

The plot shows Start Domain representation of the selected Data Field (in this case CALIB_VISIB).

The features available for the “star domain visualization” are the same as the ones available for the “square matrix” representation:

·         Zoom in / Zoom out: see page 62

·         Hide parameters to magnify visualized data: see page 62

Functions on the left hand side pane are the same:

·         Plot Type: see page 62(To Change to Spatial Representation)

·         Snapshot and title settings: see page 63

·         Value details: see page 64

·         Export to image or postscript formats: see page 64

The Color Table function under each plot is also the same: see page 65.

The Stepping through the product with the Snapshot slider is also the same: see page 68.

7. L1B Specific visualization features

This section presents the L1B specific visualization features implemented by SMOSView. There are two L1B visualization features:

-       the Fourier components of Brightness Temperature (BT) representation (or L1B star domain)

-       the reconstructed BT (or L1B spatial representation)

The mathematical details associated with these representations are fully detailed in the SMOSView specification document. The L1B specific visualization features apply only to the following L1B products:

 

L1B products

SM_XXXX_MIR_SC_D1B

SM_XXXX_MIR_SC_F1B

SM_XXXX_MIR_TARD1B

SM_XXXX_MIR_TARF1B

 

Table 4 L1B products to which L1B Specific Visualization Features apply

7.1. L1B Fourier Components of Brightness Temperature

In order to visualize the Fourier components of BT, the user must select first a L1B product file using the File Chooser buffer as presented in section 4.1 of this document.

The user can then click on the SMOS Specific Visualization Features Icon smos_svf, the following window appears:

 

Figure 75: L1B Fourier Components of BT example

This plot is of the same type as the Star Domain plot for L1A.

The controls associated with this plot are the same than the previous ones:

-       Zoom in / Zoom out: see page 62

-       Hide parameters to magnify visualized data: see page 62

Functions on the left hand side pane are the same:

·         Plot Type:

·         For L1B data, the plot type menu allows the user to switch between Fourier Components of BT representation and the spatial reconstructed BT:

 

plot_type1B

Figure 76 L1B Plot type menu

 

·         Snapshot and title settings: see page 63

·         Value details: see page 64

·         Export to image or postscript formats: see page 64

The Color Table function under each plot is also the same: see page 65.

The Stepping through the product with the Snapshot slider is also the same: see page 68.

7.2. L1B Reconstructed Brightness Temperature

Using the Plot Type menu, the user can select the Spatial Representation of L1B: “Reconstructed_BT”. This plot type is not a simple visualization of L1B data but show features that have been derived from the L1B data by a procedure described in Appendix C.

Figure 77: L1B Spatial Representation example

The reconstructed BT plot type shows four hexagonal spatial representations of the L1B complex data field displayed in the Snapshot Settings box.

 

The controls associated with this plot are the same than the previous ones:

-       Zoom in / Zoom out: see page 62

-       Hide parameters to magnify visualized data: see page 62

Functions on the left hand side pane are the same:

·         Plot Type: see page 71

·         Snapshot and title settings: see page 63

·         Value details: see page 64

·         Export to image or postscript formats: see page 64

The Color Table function under each plot is also the same as for L1A: see page 65.

The Stepping through the product with the Snapshot slider is also the same: see page 68.

 

8. L1C Specific visualization features

This section presents the L1C specific visualization features implemented by SMOSView. The L1C specific visualization features apply only to the following L1C products:

 

L1C products

SM_XXXX_MIR_SCLD1C

SM_XXXX_MIR_SCSD1C

Dual Polarization reconstructed BT swath

 

 

SM_XXXX_MIR_SCLF1C

SM_XXXX_MIR_SCSF1C

 

Full Polarization reconstructed BT swath

 

 

SM_XXXX_MIR_BWLD1C

SM_XXXX_MIR_BWLF1C

SM_XXXX_MIR_BWSD1C

SM_XXXX_MIR_BWSF1C

 

Browse BT products

 

Table 5 L1C products to which L1C Specific Visualization Features apply

Note from the SMOS Level 1 and Auxiliary Data Products Specifications:

q  The dual polarization reconstructed brightness temperature swaths are L1C products obtained from L1B products in dual polarization mode. It is organized in grid points (belonging to the Digital Global Grid DGG).

q  The full polarization reconstructed brightness temperature swaths are L1C products obtained from L1B products in full polarization mode. It is organized in grid points (belonging to the Digital Global Grid DGG).

q  The Browse Brightness Temperature L1 data products are arranged in pole-to-pole swaths according to ascending and descending passes. Each grid point contains a brightness temperature sample interpolated from MIRAS measurements at an incidence angle of 42.5º.

q  The values of the Incidence Angles, Azimuth Angle, Faraday Rotation Angle and Geometric Rotation Angle are now presented in Engineering units in the Browser and also in the Visualization panel.

8.1. L1C Dual polarization visualization

In order to use the L1C Dual polarization specific visualization features, the user must select first a L1C dual polarization product file using the File Chooser buffer as presented in section 4.1 of this document. The user can then click on the SMOS Specific Visualization Features Icon smos_svf, the following window appears:

Figure 78 L1C Specific Visualization Feature Window

8.1.1. Plot type

On the left panel, there are several controls. The upper left one is the plot type. For L1C products, there are two options: Pixel Attributes Projection or Measurement Counter Projection, as shown in the Plot type menu below:

Figure 79 L1C Plot Type Menu

In case of Pixel Attributes Projection, it is possible to select the field to be plotted, and to request its projection for a given snapshot or for a given range of incidence angle. The relevant field to be plotted has to be chosen from the "Attributes" menu (see Figure 80), the snapshot has to be selected from the snapshot ID selector (see Figure 89), the incidence angle range has to be chosen from the incidence angle selector (see Figure 90).

In case of Measurement Counter Projection, there is no selection of incidence angle nor snapshot. The value displayed gives the number of snapshots in the product over each grid point.

8.1.2. Pixel Attributes Projection

WARNING: For big products (around 250 Mb) the time needed to project the data is quite long… Please be patient!

8.1.2.1. Attributes

By default, the selected plot type is pixel attributes projection. It allows the user to visualize all the following L1C fields projected on the Earth map:

-       FLAGS: indicate the polarization (H: Horizontal, V: Vertical),

-       SNAPSHOT_ID: Unique identifier for the snapshot,

-       BTVALUE: Brightness Temperature value over the current Earth fixed grid point (in K),

-       RAD_ACC PIX: pixel radiometric accuracy

-       Azimuth angle (0º if local North)

-       Incidence Angle (0° if vertical)

-       FARADY ROT ANGLE: Faraday Rotation Angle

-       GEO ROT ANGLE: Geometric Rotation Angle

-       Footprint axis 1: Elliptical footprint major semi-axis value.

-       Footprint axis 2: Elliptical footprint minor semi-axis value.

-       Footprint ratio: Ratio between footprint axis 1 and footprint axis 2.

Even if selected by default, to visualize such parameters projected on the Earth, the user must select it by the “Attributes” drop down menu:

L1C_attributes

Figure 80 L1C Attributes Drop Down Menu

The value of the selected attribute is given inside the main pane in a little box next to the pixel covered by the mouse and the value is updated (with a less than 1 second refreshing time) when the mouse moves. After some 4 seconds over the same pixel, the value and the little box disappear, they can be visualized again by moving the mouse. See example in Figure 81.

All the pixels displayed in this figure refer to the same snapshot selected from the GUI.

The values of the field plotted correspond to the polarization of the snapshot. The polarization of the product is displayed lower part of the window, below the Snapshot ID.

Figure 81 Example of L1C BT value field displayed. All pixels displayed refer to the same snapshot (100619).

8.1.2.2. Geo Tools

When the mouse is moving through the projected data, the “Geo Tools” give the user useful geographical information about the current mouse position: Latitude, longitude, and about the grid information: Grid ID, grid latitude, grid longitude, and grid mask.

Note: the latitude/longitude grid information gives the position of the center of the grid ID, while the “geo info” gives the exact cursor latitude/longitude.

geo_tools_1C

Figure 82 L1C Geo Tools Box Details

8.1.2.3. Projections

The default projection used is the Mercator projection. However, it is possible to visualize the data through other geographical projections such as Orthographic (North/South) or Gnomonic projections. For example if data are located northern than 50° latitude North or southern than 50° latitude South, it is much more suitable to use a North/South Orthographic projection (see Figure 84). The projection can be selected through the Projections drop down menu:

projections_1C

Figure 83 Projections Drop Down Menu

Figure 84 North Orthographic projection example

8.1.2.4. Color Tables and Range

The L1C products are displayed using a grey level scale, but the user can use color tables to display L1C product using false color. Clicking on the Color Tables tab will display a predefined selection of color tables:

color_table1C

Figure 85 Color Tables Menu

Clicking on the selected color table will assign the selected color table to the plot. The plot is then updated.

The color range is loaded by default with the Min and Max values calculated directly from the points displayed on the map, however the user can set those values using the Min and Max text fields and then clicking on the “Scale” tick box. Afterwards the points are redisplayed according to the new range.

8.1.2.5. Export

The user can use the Export box to export the displayed screen in various image, postscript, or PDF formats.

Click on “Export”. An export format box opens (Figure 86); then select the path and name of the file to be created, and the format to which you would like to export the matrices. An example of the JPG result is given in Figure 87.

 

exportbox

Figure 86 Export Box

Figure 87 Export formats drop down menu

8.1.2.6. Zoom in / out / around

It is possible to “Zoom In”, to “Zoom out” on the product, and to move in each direction by using the zoom in / out/ around tool (Figure 88):

-       Zoom in: use the (+) magnifier (upper one) OR without the tool: directly in the graph pane maintain the left mouse button clicked and drag the mouse cursor down and to the right

-       Zoom out: use the (-) magnifier (lower one)

-       Go to the North / South: use the upper / lower arrow

-       Go to the West / East: use the left / right arrow

-       Center the plot on 0° latitude; 0° longitude: click on the point in the center of the tool.

-       Center the plot on a point within the map: left-click once over the desired center

zoom

Figure 88 L1C Zoom in / out / around Tool

8.1.2.7. Snapshot ID selector

The user can step through the data product and plot the next snapshot using the snapshot IF slider at the bottom of the plot (Figure 89). The user can also use the two buttons “-“ / “+” to step through the product and visualize consecutive snapshots. The user can also visualize only the data corresponding to the polarization of choice. Values for full polarization products are: HH, VV, HV_Real and HV_Img. Values for dual polarization products are HH and VV.

Figure 89 L1C Snapshot ID selector box

8.1.2.8. Polarization

The polarization information is given inside the snapshot ID selector box. For L1C dual product, the polarization can be HH or VV.

8.1.2.9. Incidence angle selector

The user can select a range of incidence angle (0° if vertical incidence) by filling the L1C incidence angle selector (Figure 90). The unit of the angle selector is millidegree (10-3 degree), it means the same unit used inside the product. To define the incidence angle range, the user has to enter a minimum, a maximum value and the “central value”. In case multiple values fit inside the [min, max] range for a single pixel, the application will choose the data that are the nearest to the central value. To display only the data acquired with an incidence angle within the range, the user has then to click on “Display”.

Additionally, the user can narrow down the number of points to visualize by selecting the desired polarization. Values for full polarization products are: HH, VV, HV_Real and HV_Img. Values for dual polarization products are HH and VV.

Once the user has selected an incidence angle range, the image will display all the pixels of the file having the incidence angle within the range.

Figure 90 L1C Incidence Angle Selector

 

8.1.3. Measurement Counter Projection

WARNING: For big products (around 250 Mb) the time needed to project the data is quite long… Please be patient!

If the user selects the “Measurement Counter Projection” plot type, he will then visualize the field “Counter” of the Swath_Snapshot_List data set. The field “Counter” specifies the number of Data Set Record contained in it.

The value displayed in the small box when moving the mouse over the product gives the number of snapshots in the product over each grid point. An example of such a counter is given in Figure 91.

 

Figure 91 Measurement Counter Projection L1C example

Note: The lower control pane for “Measurement Counter Projection” plot type only has the zoom in / out / around control.

8.2. L1C Full polarization visualization

In order to use the L1C Full polarization specific visualization features, the user must select first a L1C Full polarization product file using the File Chooser buffer as presented in section 4.1 of this document. The user can then click on the SMOS Specific Visualization Features Icon smos_svf, to use these features.

The L1C full polarization visualization features are exactly the same as the ones described in the previous L1C dual polarization specific visualization features section. Please refer to section 8.1.

8.2.1. Polarization

The only parameter that changes compared to L1C dual product is the polarization. This information is also given inside the snapshot ID selector box. For L1C full product, the polarization can be HH, VV, HV_real or HV_imaginary.

8.2.1.1. Brightness Temperatures Specific Plot

 

 

Once a brightness temperature map is obtained there is the possibility to display a graph showing the evolution of the BT vs the incidence angle for a selected grid point. This grid point is selected through the left click of the mouse.

Figure 92: BT vs Incidence Angle Selection Menu

There is the possibility to plot three different types of chart:

  1. BT ToA: Brightness Temperature on Top of Atmosphere vs Incidence Angle
  2. BT ToA + GR: Brightness Temperature on Top of Atmosphere with the Geometric Rotation vs Incidence Angle.
  3. BT ToA + GFR: Brightness Temperature on Top of Atmosphere with the Geometric Rotation and Fararday Rotation vs Incidence Angle

The of the geometric and faraday rotations where performed based on the multiplication presented below. The T3’ and T4’ is the real and imaginary part of the BT value present in the product. G is the geometric rotation and F the Faraday rotation angles.

 

The graphs obtained are composed by two curves, one for the H polarization and another for the V polarization. Each curve has different colours and unique Y-axis scale to allow comparison. In the Full Polarization case two extra curves are plotted. One for the HV_real and another for the HV_imaginary also as function of the incidence angle.

pic1

Figure 93: BT vs Incidence Angle Chart

 

8.3. L1C browse products visualization

In order to use the L1C browse products specific visualization features, the user must select first a L1C browse product file using the File Chooser buffer as presented in section 4.1 of this document. The user can then click on the SMOS Specific Visualization Features Icon smos_svf, the L1C browse products visualization window opens. Figure 94 shows a L1C browse product for which the North orthographic projection has been selected and a “blue-red” color table chosen):

Figure 94 L1C browse product visualization example (North orthographic projection)

Note that for browse products, the controls in the lower pane are slightly different than the dual/full polarization ones. There is no incidence angle selection (all browse products have the same incidence angle) nor snapshot_ID selection.

The controls in the lower panel deal with:

-       Zoom in / out / around tool (see page 80).

-       Polarisation selector: allow the user to visualize products only from the selected polarization (select the required polarization with the drop down menu).

WARNING: For big products (around 250 Mb) the time needed to project the data is quite long… Please be patient!

9. L2 Specific visualization features

This section presents the L2 specific visualization features implemented by SMOSView. The L2 specific visualization features apply only to the following L2 products:

 

L2 products

SM_XXXX_MIR_OSUDP2

SM_XXXX_MIR_SMUDP2

 

Table 6 L2 products to which L2 Specific Visualization Features apply

Except two functionalities (the selection flags and the error mode) the L2 specific visualization features apply also to auxiliary data files listed in Table 7.

WARNING: However the user should know that due to the incredible points to project on the map, the auxiliary files could take about 30 minutes to be displayed.

 

Auxiliary data products

AUX_DGG___ (Geodetic Product)

AUX_ECMWF (ECMWF Product)

AUX_DFFLAI_ (LAI Product)

AUX_DFFLMX (LAI MAX Product)

AUX_DGGTLV (Current Tau Nadir LV Product)

AUX_DGGTFO (Current Tau Nadir FO Product)

AUX_DGGROU (Current Roughness H Product)

AUX_DGGRFI_SPH (RFI Product)

AUX_DGGFLO_SPH (Current Flood Product)

AUX_GAL_SM_SPH (Galaxy Map Product convolved with the AUX_MN_WEF)

AUX_SOIL_P_SPH (Soil Properties Product)

AUX_BIGBWF_SPH (Big water body flag Product)

AUX_RFI______SPH (L1 RFI Product)

AUX_GAL_OS_SPH (Galactic Map Product convolved with the AUX_WEF)

AUX_DISTAN_SPH (Land Sea Mask) AUX_SSS____SPH (SSS Climatological LUT)

AUX_FARA_ (Faraday Rotation)

AUX_GAL_OS (Ocean Salinity Galaxy Map)

AUX_GAL_SM (Soil Moisture Galaxy Map)

AUX_OTTxD/F (Ocean target transformation)

AUX_DTBCUR (Current Delta TB Product)

AUX_DTBXY (Delta TBs for the L2OS post-processor)

Table 7 L2 products to which L2 Specific Visualization Features apply

 

In order to use the L2 specific visualization features, the user must select first a L2 Soil Moisture or Ocean Salinity product file using the File Chooser buffer as presented in section 4.1 of this document. The user can then click on the SMOS Specific Visualization Features Icon smos_svf, the following window appears:

Figure 95 L2 specific visualization feature window

9.1. Controls from left pane

The controls of the control panel on the left are described hereafter:  

SMOSView allows projecting all fields and their associated errors from Level 2 Ocean Salinity User Data Product (MIR_OSUDP2) and Level 2 Soil Moisture User Data Product (MIR_SMUDP2). The tables below list all these fields:

 

OSUDP2 Field

Description

SSS1

SSS2

SSS3

WS

SST

Tb_42.5H

 

 

Tb_42.5V

 

Sea surface salinity using roughness model 1

Sea surface salinity using roughness model 2

Sea surface salinity using roughness model 3

Equivalent neutral wind speed as derived from ECMWF

Sea Surface Temperature as derived from ECMWF

Brightness Temperature at surface level derived with default forward model and retrieved geophysical parameters, H polarisation direction.

Brightness Temperature at surface level derived with default forward model and Retrieved geophysical parameters, V polarisation direction.

Table 8 L2 Ocean Salinity fields that can be projected on the geographical map

 

L2 SM Field

Description

Soil_Moisture

Optical_Thickness_Nad

Physical_Temperature

 

TTH

RTT

Scattering_Albedo_H

DIFF_Albedos

Roughness_Param

Dielect_Const_MD_RE

Dielect_Const_MD_ IM

Dielect_Const_Non_MD_RE

 

Dielect_Const_Non_MD_IM

 

TB_ASL_Theta_B_H

 

 

TB_ASL_Theta_B_V

 

 

TB_TOA_Theta_B_H

 

TB_TOA_Theta_B_V

 

Retrieved soil moisture value

Nadir optical thickness estimate for vegetation layer

Surface equivalent temperature – may be a retrieved value or from an external source

Optical thickness coefficient for polarisation H

Ratio of optical thickness coefficients TTH/TTV

Scattering albedo for horizontal polarisation

Difference of albedos ωH-ωV

Roughness parameter estimate

Real part of the dielectric constant from MD retrieval.

Imaginary part of dielectric constant from MD retrieval

Real part of dielectric constant from retrieval models other than MD

Imaginary part of dielectric constant from retrieval models other than MD

Surface level TB (corrected from sky/atmosphere contribution) computed from forward model with specific incidence angle θ_B (42.5 °), and for H polarisation.

Surface level TB (corrected from sky/atmosphere contribution) computed from forward model a specific incidence angle θ_B (42.5 °), and for V polarisation

Top of the atmosphere TB computed from forward model at specific incidence angle θ_B (42.5º), for H polarisation

Top of the atmosphere TB computed from forward model at specific incidence angle θ_B (42.5º), for V polarisation

 

Table 9 L2 Soil Moisture fields that can be projected on the geographical map

9.1.1. Field selection

A field selection drop down menu allows the user to select the field to project on the map as shown in Figure 96. Even if selected by default, to visualize such parameters projected on the Earth, the user must select the field to be projected on the map by the “Field selection” drop down menu:

L2_field selection  L2_field selectionSM

Figure 96 Field selection box (OS product on the left; SM product on the right)

9.1.2. Flags selection

The user can select one or more flags available from the L2 product and overlay them to the displayed product. The available flags for the chosen product can be visualized in the flags selection box, as displayed in Figure 97.

flag_selection

Figure 97 Flags selection box

To select a flag to be overlaid to the image, the user must click in the left column box of the flag. The colour of the fag and the transparency are configurable.

To choose the color and the transparency of the flag to display the user must click in the second column starting left. The following menu is then displayed:

flag_color_selection

Figure 98 Flags color transparency menu

The user can choose the color of the flag in the “Swatches” tab: by clicking on the desired color (see Figure 98). He can then select the transparency level in the “Transparency selection” tab: by moving the slider to the transparency level desired (see Figure 99).

NOTE: Due to the use of a different point layer to display flags in the world map, sometimes during the zoom operations they may appear outside of the original position. In this case the zoom shall be performed prior to the display of the flags.

flag_alpha_selection

Figure 99 Flags transparency selection menu

9.1.3. Geo Tools

When the mouse is moving through the projected data, the “Geo Tools” give the user useful geographical information about the current mouse position: Latitude, longitude, and about the grid information: Grid ID, grid latitude, grid longitude, and grid mask.

Note: the latitude/longitude grid information gives the position of the center of the grid ID, while the “geo info” gives the exact cursor latitude/longitude.

See Figure 82.

9.1.4. Projections

The default projection used is the Mercator projection. However, it is possible to visualize the data through other geographical projections such as Orthographic (North/South) or Gnomonic projections. See more details in section 8.1.2.3.

9.1.5. Field color Scale

The user can select the color table that will be affected to the field to be projected thanks to the Field color scale. The user has to select a color table within the drop down menu of Figure 100.

L2_field_color scale

Figure 100 L2 field color scale

The color range is loaded by default with the Min and Max values calculated directly from the points displayed on the map, however the user can set those values using the Min and Max text fields and then clicking on the “Scale” tick box. Afterwards the points are redisplayed according to the new range.

9.1.6. Example

Once the field, the color tables and the projections selected, the following window displays the L2 data on the geographical map:

L2_error_mode_example2_

Figure 101 L2 OS product visualization example

 

9.2. Error mode

L2 specific visualization features include an “error mode” that allows the user to display and project on the map the associated error contained in the L2 product (e.g. DQX) to the field selected (e.g. soil moisture), above the field itself. To use the error mode, the user has to choose the error mode by clicking on the “Error mode” icon below the main panel:

L2_error_mode_square

Figure 102 Click on the “Error Mode” icon to start the error mode

Once displayed, the user can as previously navigate through the projected data using the zoom in / out / around tool of Figure 102.

9.2.1. Error color scale

The color scale of the error displayed above the field projected can be chosen among various color tables thanks to the “Error color scale” drop down menu:

L2_error_color scale

Figure 103 Error color scale

9.2.2. Error mode example

To use the error mode, the user has first to project one field using the features of the previous section “Field selection”, page 89.

Once the error mode selected and the color table selected, the user can simply left-click on the area where he would like the error to be displayed above the projected data. The error is then displayed above the data, all around the clicked position as seen in Figure 104 hereafter.

L2_error_mode_example2

Figure 104 Error mode display above SSS field

9.2.3. Visualization Approach on AUX_SSS and AUX_DISTAN

 

Due to the fact that this AUX_SSS and AUX_DISTAN files have a huge number of points (cover the whole DGG grid) and SMOS View visualization plugin memory limitations don’t allow the simultaneous display of a so  large number of points, the display of data is performed zone by zone. In total there are 6 zones available

A new panel was created below the world map containing the available zones.

 

9.2.4. Figure 105 AUX_SSS Zone PanelDummy Data Filtering

Some SMOS products like L2 and AUX are filled with dummy data, which is initialization values that are kept in the final product. In most of the cases those values don’t have an important meaning, therefore it was found the need of don’t display them in the world map.

The values considered as dummy are the following:

q  -999

q  -99999

q  -99998

By default, the specific visualization feature doesn’t consider this values on the world map, however the user is able to display them.

To display the dummy values on the world map the user must select the option “Display DUMMY Values” present on the “Tools” panel, located below the world map.

 

Figure 106 Display DUMMY Values Option

The values are then displayed in the world map with color “Black”, in order to clearly idetify them,  the color scale shall be different than the “Black and White”, if for some reason the “Black and White” scale its set it should be changed to another that doesn’t contains the black colour. The dummy values are then added and shown within the values layer.  If the user unselects the option, then world map will be repainted without the dummy values.

9.2.5. Visualization of AUX_FARA Products

The main purpose of this ADF is to provide the L2OP with a more precise computation of the Faraday angle based on algorithm improvements and refined VTEC background field (i.e the combined VTEC). In addition the Faraday rotation auxiliary file can be used in any of the DPGS sub/system, and allows de-coupling L1 reprocessing activity for algorithm upgrades and availability of a more precise Faraday rotation (i.e. VTEC combined, usage of refined geomagnetic model).This ADF has the following types:

·         AUX_FARA_C (Consolidated Faraday Rotation)

·         AUX_FARA_P (Predicted Faraday Rotation)

·         AUX_FARA_R (Rapid Faraday Rotation)

SMOS Data Viewer provides the possibility for the user to perform a specific visualization in a panel similar to L1C (snapshot by snapshot basis) but without the polarization filter. The following figure presents a screenshot of a visualization showing on the left side the variables available for the user.

Figure 107: AUX_FARA Specific Visualization

 

9.2.6. Visualization of AUX_GAL_OS and AUX_GAL_SM

The specific visualization of AUX_GAL_OS and AUX_GAL_SM is performed on a (Ra, De) chart with 721x1441 elements. On the AUX_GAL_OS the chart will display the corresponding TB_Sky_H (Sky TB for Horizontal Polarization) and TB_Sky_V (Sky_TB for Vertical Polarization) values for each Right Ascension (Ra), Declination (De) pair of coordinates.

For the AUX_GAL_SM the visualization panel is divided in four charts:

q  I_CSWeF (First Stokes Parameter)

q  Q_CSWeF (Second Stokes Parameter)

q  U_CSWeF (Third Stokes Parameter)

q  Delta_I (Potential Error Due to Strong Noise Sources)

Due to jFreeChart limitations the Ra and De coordinates have a step of 0,5. The Ra ranges are from 0.0 to 360.0 while the De are from -90.0 to 90.0.

It must be noted that due to performance issues, the zoom and color scale operations are performed slowly.

 

AUX_GAL_OS

Figure 108: AUX_GAL_OS Specific Visualization

 

AUX_GAL_SM

Figure 109: AUX_GAL_SM Specific Visualization

 

9.2.7. Visualization of AUX_OTTxD/F

The specific visualization of AUX_OTT data is performed on (Xi, Eta) charts divided by ascending and descending orbit. The visualization panel is divided in four plots, the two on the left have the Ascending orbit and the two on the right the Descending orbit.

The values shown on the “Value Details” panel are according to the organization of the visualization panel.

By default the color scale range is set to [-10.0, 10.0], if the user uncheck the “Scale” option the scale range will be set to the minimum and maximum values of the plots.

For dual polarization products the only four plots displayed are:

q  LUT_offset_HH_A on the top left panel.

q  LUT_offset_HH_D on the top right panel.

q  LUT_offset_VV_A on the bottom left panel.

q  LUT_offset_VV_D on the bottom right panel.

The following picture shows the visualization panel for the dual polarization product.

 

AUX_OTT_Dual

Figure 110: AUX_OTT Dual Pol Specific Visualization

For the Dual Polarization case the user is able to select the following polarization filters:

q  HH VV

·         Same plots as the dual polarization case

q  HH_short VV_short

·         LUT_offset_HH_short_A on the top left panel.

·         LUT_offset_HH_short_D on the top right panel.

·         LUT_offset_VV_short_A on the bottom left panel.

·         LUT_offset_VV_short_D on the bottom right panel.

q  HH HH_short

·         LUT_offset_HH_A on the top left panel.

·         LUT_offset_HH_D on the top right panel.

·         LUT_offset_HH_short_A on the bottom left panel.

·         LUT_offset_HH_short_D on the bottom right panel.

q  VV VV_short

·         LUT_offset_VV_A on the top left panel.

·         LUT_offset_VV_D on the top right panel.

·         LUT_offset_VV_short_A on the bottom left panel.

·         LUT_offset_VV_short_D on the bottom right panel.

q  T3_HHV T4_HHV

·         LUT_offset_T3_HHV_A on the top left panel.

·         LUT_offset_T3_HHV_D on the top right panel.

·         LUT_offset_T4_HHV_A on the bottom left panel.

·         LUT_offset_T4_HHV_D on the bottom right panel.

q  T3_VVH T4_VVH

·         LUT_offset_T3_VVH_A on the top left panel.

·         LUT_offset_T3_VVH_D on the top right panel.

·         LUT_offset_T4_VVH_A on the bottom left panel.

·         LUT_offset_T4_VVH_D on the bottom right panel.

 

9.2.8. Visualization of AUX_DTBCUR

The specific visualization of AUX_DTBCUR data is performed on (Xi, Eta) charts divided in four plots, XX, YY (top) and XX Short, YY Short (bottom). The user can select other polarization filter (XY) where the four plots will be XXY Stokes 3 and  XXY Stokes 4 (top), YYX Stokes 3 and YYX Stokes 4 (bottom).

Apart from the polarization, the user is able to select as well the orbit, model and variable (count_deltaTB,     deltaTB, std_deltaTB or flags) to plot.

The values shown on the “Value Details” panel are according to the organization of the visualization panel.

By default the color scale is  range is “Blue-White-Red” and the range is set to [-10.0, 10.0], if the user uncheck the “Scale” option the scale range will be set to the minimum and maximum values of the plots.

 

AUX_DTBCUR_SUM1

Figure 111: AUX_DTBCUR Specific Visualization

 

9.2.9. Visualization of AUX_DTBXY

The specific visualization of AUX_DTBXY can be performed through three different panels selected by the user on the Graphics Type box:

q  Plot Panel (Default): Showing the OTTs as it is done for the AUX_DTBCUR.

q  World Map Panel: Showing the Snapshot through a ground track representation.

q  Charts Panel: Show the A3TEC variables through four X-Y plots.

 

9.2.9.1. Plot Panel

Please refer section 9.2.8.

9.2.9.2. World Map Panel

On this panel the user is able to see several snapshot variables over the world map. The user can select the Region ID, FOV Zone, Polarization and Model. The supported variables are meas_count, delta_TB, model_TB and flags.

AUX_DTBXY_SUM1

Figure 112: AUX_DTBXY World Map

9.2.9.3. Charts Panel

In this specific visualization the user is able to select the A3TEC variables (latTEC, l1cTEC, tecres, signpost) to be plotted against fovlatitude (top-left), fovLongitude (top-right), geoLatitude (bottom-left), geoLongitude (bottom-right).

 

AUX_DTBXY_SUM2

Figure 113: AUX_DTBXY Charts Panel

Appendix A   Prerequisite for Printing

q  Windows, MacOS X

No particular requirements should be needed.

 

q  Linux, UNIX

It is necessary to have the CUPS package installed.

This package is by default installed on most UNIXes and it is freely downloadable from the following website: http://www.cups.org/

Appendix B   Phase Calculations in SMOS Data Viewer plots

 

Phase is calculated using the atan2 function provided by the standard Java library.

The code that executes this operation is the following:

 

      if (_realPart != 0.0 || _imaginaryPart != 0.0)

          _phase = Math.atan2(_imaginaryPart, _realPart);

      else

             _phase = 0.0f;

 

To comply with Enhancement 8 (ref. SO-MN-VEG-GS-0050 page 5), the value of the phase is set to 0 when real and imaginary values are 0.

 

The documentation of the atan2 routine is the following:

The routine converts rectangular coordinates (x, y) to polar (r, theta). This method computes the phase theta by computing an arc tangent of y/x in the range of -pi to pi. Special cases:

·         If either argument is NaN, then the result is NaN.

·         If the first argument is positive zero and the second argument is positive, or the first argument is positive and finite and the second argument is positive infinity, then the result is positive zero.

·         If the first argument is negative zero and the second argument is positive, or the first argument is negative and finite and the second argument is positive infinity, then the result is negative zero.

·         If the first argument is positive zero and the second argument is negative, or the first argument is positive and finite and the second argument is negative infinity, then the result is the double value closest to pi.

·         If the first argument is negative zero and the second argument is negative, or the first argument is negative and finite and the second argument is negative infinity, then the result is the double value closest to -pi.

·         If the first argument is positive and the second argument is positive zero or negative zero, or the first argument is positive infinity and the second argument is finite, then the result is the double value closest to pi/2.

·         If the first argument is negative and the second argument is positive zero or negative zero, or the first argument is negative infinity and the second argument is finite, then the result is the double value closest to -pi/2.

·         If both arguments are positive infinity, then the result is the double value closest to pi/4.

·         If the first argument is positive infinity and the second argument is negative infinity, then the result is the double value closest to 3*pi/4.

·         If the first argument is negative infinity and the second argument is positive infinity, then the result is the double value closest to -pi/4.

·         If both arguments are negative infinity, then the result is the double value closest to -3*pi/4.

Parameters:

y - the ordinate coordinate

x - the abscissa coordinate

Returns:

the theta component of the point (rtheta) in polar coordinates that corresponds to the point (xy) in Cartesian coordinates.

Appendix C   transformations performed to switch from L1B Fourier components of BT to L1B reconstructed BT

Technical note provided by Indra:

 

The visualization of the L1B product in (chi,eta) domain requires some transformations. The steps to be followed are these:

1.      The starting point are the L1B product’s fields:

·         Scene_BT_Fourier (field number 17), which contains the information to be plotted,

·         and Flags (field number 16) which contains information on the polarization of Scene_BT_Fourier.

2.      Scene_BT_Fourier has a number of elements that varies depending on the product and polarization mode:

1.      Dual polarization product (SM_XXXX_MIR_SC_D1B or SM_XXXX_MIR_TARD1B):

o   the Scene_BT_Fourier field in this product has only pure polarizations, HH or VV. It has 1395 complex values and one real in the centre of the star. These are contained in the product as 2791 double elements.

2.      Full polarization product (SM_XXXX_MIR_SC_F1B or SM_XXXX_MIR_TARF1B): the Scene_BT_Fourier field in this product has 4 possibilities

o   HH or VV: it has 1395 complex values and one real in the centre of the star (2791 doubles totally).

o   HV_real or HV_imag: it has 2791 real values (doubles) covering all the star, either the real part of HV polarization or the imaginary part.

3.      In dual polarization products it must be performed the complex conjugate of the Scene_BT_Fourier fields in pure polarizations to complete the star in the hexagonal domain. In case of a full polarization product instead of the complex conjugate, the real part is obtained through the 2791 real values of HV_real and the imaginary part is obtained through the 2791 real values of HV_imag.

 I call this Scene_BT_Fourier*. This follows the same order as Scene_BT_Fourier.

4.      The resulting variable, which I call CompleteStar_Scene_BT_Fourier, is a list of values to be visualized in the hexagonal star domain plot (this is the variable to be visualized by feature specified in SOW’s Req. SDV-T-6.1.6-120). The order and coordinates for the complete list of points in the star is specified in LUT L1B_STARVIS_LUT.txt.

5.      The variable CompleteStar_Scene_BT_Fourier is the origin for the Brightness Temperature image in the (chi,eta) domain in whatever resolution (specified by Xi_Eta_Resolution field #64 in Table 4-28 of L1OP Specs), although obviously some transformations are needed in between. The CompleteStar_Scene_BT_Fourier variable is related to the BT image by an Inverse FFT procedure.

6.      In order to use standard FFT techniques, the CompleteStar_Scene_BT_Fourier variable must be fitted into a square matrix of the specified Xi_Eta_Resolution, I call this matrix  Rectangular_Scene_BT_Fourier. To do this, the following procedure must be performed:

·         Create the variable Rectangular_Scene_BT_Fourier whose size is Xi_Eta_Resolution rows by Xi_Eta_Resolution columns, filled with all zeroes. There are 3 possible resolutions, 64x64, 128x128, and 256x256.

·         Use the look up table (L1B_UV_STAR2RECT_LUT_***.txt) to find the positions in Rectangular_Scene_BT_Fourier rectangular matrix on which the elements of CompleteStar_Scene_BT_Fourier have to be placed. First 2 columns contain the row and column indexes in the rectangular grid, the 3rd and 4th columns contain the corresponding (u,v) coordinates values, and the 5th column contains the position of the corresponding element of CompleteStar_Scene_BT_Fourier variable. In fact, you don’t need columns 3rd and 4th, they are only included for clarification purposes.

·         Note that some of this column 5’s positions values are set to -001: this must be understood as that the Rectangular_Scene_BT_Fourier must be kept with zero values. In fact, Rectangular_Scene_BT_Fourier is zero-padded rectangular version of CompleteStar_Scene_BT_Fourier. The hexagonal-grid variable is always the same size, the change in resolution in the rectangular-grid variable is achieved by zero-padding.

7.      Once you have the rectangular-grid variable, you must perform an Inverse FFT. The L1PP project has used the FFTW library methods:

 

p = fftw_plan_dft_2d(nx, ny, bt_freq_matrix, bt_temp_snapshot, FFTW_BACKWARD,FFTW_ESTIMATE);

 

Where nx and ny are the number of rows and columns in the rectangular grid, bt_freq_matrix is the Rectangular_Scene_BT_Fourier and bt_temp_snapshot the resulting variable in the (chi,eta) domain, which I call from now on Rectangular_Scene_XiEta.

8.      The variable Rectangular_Scene_XiEta has the same size of Rectangular_Scene_BT_Fourier. Rectangular_Scene_XiEta has to be plotted against the coordinates specified in look-up tables L1B_FFT_XIETA_LUT_***.txt. The first 2 columns give the indexes in the rectangular matrix, and columns 3rd and 4th give the corresponding Xi and Eta positions.

9.      You have to plot all values in the Rectangular_Scene_XiEta variable, as scientists are interested in everything that is retrieved by the SMOS instrument, even if it is hardly usable with current algorithms.

10.  The reconstruction in the xi,eta domain is implemented using the Blackman apodisation window, therefore the brightness temperature is calculated by the following approach:

Appendix D: Star Domain Visualization

The Star Domain representation is performed based on the Square Matrix. The ordering is based on reporting only the baselines with positive v coordinate and u positive for v=0:

q  The v coordinate for the upper half of the baselines goes continuously from 0 to sqrt(3)*NEL*d, where NEL=21 and d=0.875, in incremental steps of sqrt(3)*d/2

q  The u coordinate of the upper half of the baselines shall follow the mathematical rules defined as:

·         If v=0, then u goes from d to 24*d in incremental steps of d

·         If v>0 and v<=sqrt(3)*NEL*d/2, then u goes from –(NEL*d +v/sqrt(3)) to +(NEL*d +v/sqrt(3)) in incremental steps of d

·         If v=sqrt(3)*(NEL+1)*d/2, then u goes from –11*d to +11*d in incremental steps of d

·         If v=sqrt(3)*(NEL+2)*d/2, then u has the values –23*d/2, –19*d/2 to +19*d/2 in incremental steps of d and +23*d/2. Notice that the elements ±21*d/2 are not present.

·         If v=sqrt(3)*(NEL+3)*d/2, then u has the values –12*d, –9*d to +9*d in incremental steps of d and +12*d. Notice that the elements ±11*d and ±10*d are not present.

·         Finally, if v>sqrt(3)*(NEL+3)*d/2 and v<=sqrt(3)*NEL*d, then u goes from –(NEL*d – v/sqrt(3)) to +(NEL*d –v/sqrt(3)) in incremental steps of d

The order followed is shown in the next picture. For the 1395 element vector, the baselines shall be taken first from left to right, then from bottom to top. I.e. the first 24 elements are the ones with v=0 and ordered by increasing u; the next 42 elements are the ones with v=sqrt(3)*d/2 and ordered by increasing u (from negative to positive), and so on until the 1395 elements are covered.

Figure 114: Star Domain Representation

 

For the case of HV polarisation, where the vector is 2791 elements long, the complete star must be covered. In this case, the ordering shall be similar to the one adopted above. The first element shall be the zero baseline (u=0, v=0); the next 1395 elements shall be ordered like it has been described (left to right, then bottom to top); and the remaining 1395 element shall be ordered in the same way as well, but inverting the sign of the resulting u and v coordinates (i.e. it changes to ordering from right to left, then top to bottom).

Appendix E: Browse Structure of Level 0 Product Arrays

In order to be possible to correctly browse and plot variables for level 0 products, some changes have been made to the XIN schema to split the I Q correlations in smaller arrays. The following table presents the array index number and the corresponding correlation.

 


Array Index

Correlation

Correlator_Counts_1

1

1_1-0

2

1_0-0

3

I24_1

4

I24_Q24

5

I24_I23

6

I24_I22

7

I24_I21

8

I24_I20

9

I24_I19

10

I24_I18

11

I24_I17

12

I24_I16

13

I24_I15

14

I24_I14

15

I24_I13

16

I24_I12

17

I24_I11

18

I24_I10

19

I24_I9

20

I24_I8

21

I24_I7

22

I24_I6

23

I24_I5

24

I24_I4

25

I24_I3

26

I24_I2

27

I24_I1

28

I24_0

29

I23_1

30

I23_Q24

31

I23_Q23

32

I23_I22

33

I23_I21

34

I23_I20

35

I23_I19

36

I23_I18

37

I23_I17

38

I23_I16

39

I23_I15

40

I23_I14

41

I23_I13

42

I23_I12

43

I23_I11

44

I23_I10

45

I23_I9

46

I23_I8

47

I23_I7

48

I23_I6

49

I23_I5

50

I23_I4

51

I23_I3

52

I23_I2

53

I23_I1

54

I23_0

55

I22_1

56

I22_Q24

57

I22_Q23

58

I22_Q22

59

I22_I21

60

I22_I20

61

I22_I19

62

I22_I18

63

I22_I17

64

I22_I16

65

I22_I15

66

I22_I14

67

I22_I13

68

I22_I12

69

I22_I11

70

I22_I10

71

I22_I9

72

I22_I8

73

I22_I7

74

I22_I6

75

I22_I5

76

I22_I4

77

I22_I3

78

I22_I2

79

I22_I1

80

I22_0

81

I21_1

82

I21_Q24

83

I21_Q23

84

I21_Q22

85

I21_Q21

86

I21_I20

87

I21_I19

88

I21_I18

89

I21_I17

90

I21_I16

91

I21_I15

92

I21_I14

93

I21_I13

94

I21_I12

95

I21_I11

96

I21_I10

97

I21_I9

98

I21_I8

99

I21_I7

100

I21_I6

101

I21_I5

102

I21_I4

103

I21_I3

104

I21_I2

105

I21_I1

106

I21_0

107

I20_1

108

I20_Q24

109

I20_Q23

110

I20_Q22

111

I20_Q21

112

I20_Q20

113

I20_I19

114

I20_I18

115

I20_I17

116

I20_I16

117

I20_I15

118

I20_I14

119

I20_I13

120

I20_I12

121

I20_I11

122

I20_I10

123

I20_I9

124

I20_I8

125

I20_I7

126

I20_I6

127

I20_I5

128

I20_I4

129

I20_I3

130

I20_I2

131

I20_I1

132

I20_0

133

I19_1

134

I19_Q24

135

I19_Q23

136

I19_Q22

137

I19_Q21

138

I19_Q20

139

I19_Q19

140

I19_I18

141

I19_I17

142

I19_I16

143

I19_I15

144

I19_I14

145

I19_I13

146

I19_I12

147

I19_I11

148

I19_I10

149

I19_I9

150

I19_I8

151

I19_I7

152

I19_I6

153

I19_I5

154

I19_I4

155

I19_I3

156

I19_I2

157

I19_I1

158

I19_0

159

I18_1

160

I18_Q24

161

I18_Q23

162

I18_Q22

163

I18_Q21

164

I18_Q20

165

I18_Q19

166

I18_Q18

167

I18_I17

168

I18_I16

169

I18_I15

170

I18_I14

171

I18_I13

172

I18_I12

173

I18_I11

174

I18_I10

175

I18_I9

176

I18_I8

177

I18_I7

178

I18_I6

179

I18_I5

180

I18_I4

181

I18_I3

182

I18_I2

183

I18_I1

184

I18_0

185

I17_1

186

I17_Q24

187

I17_Q23

188

I17_Q22

189

I17_Q21

190

I17_Q20

191

I17_Q19

192

I17_Q18

193

I17_Q17

194

I17_I16

195

I17_I15

196

I17_I14

197

I17_I13

198

I17_I12

199

I17_I11

200

I17_I10

201

I17_I9

202

I17_I8

203

I17_I7

204

I17_I6

205

I17_I5

206

I17_I4

207

I17_I3

208

I17_I2

209

I17_I1

210

I17_0

211

I16_1

212

I16_Q24

213

I16_Q23

214

I16_Q22

215

I16_Q21

216

I16_Q20

217

I16_Q19

218

I16_Q18

219

I16_Q17

220

I16_Q16

221

I16_I15

222

I16_I14

223

I16_I13

224

I16_I12

225

I16_I11

226

I16_I10

227

I16_I9

228

I16_I8


 


Array Index

Correlation

Correlator_Counts_2

1

I16_I7

2

I16_I6

3

I16_I5

4

I16_I4

5

I16_I3

6

I16_I2

7

I16_I1

8

I16_0

9

I15_1

10

I15_Q24

11

I15_Q23

12

I15_Q22

13

I15_Q21

14

I15_Q20

15

I15_Q19

16

I15_Q18

17

I15_Q17

18

I15_Q16

19

I15_Q15

20

I15_I14

21

I15_I13

22

I15_I12

23

I15_I11

24

I15_I10

25

I15_I9

26

I15_I8

27

I15_I7

28

I15_I6

29

I15_I5

30

I15_I4

31

I15_I3

32

I15_I2

33

I15_I1

34

I15_0

35

I14_1

36

I14_Q24

37

I14_Q23

38

I14_Q22

39

I14_Q21

40

I14_Q20

41

I14_Q19

42

I14_Q18

43

I14_Q17

44

I14_Q16

45

I14_Q15

46

I14_Q14

47

I14_I13

48

I14_I12

49

I14_I11

50

I14_I10

51

I14_I9

52

I14_I8

53

I14_I7

54

I14_I6

55

I14_I5

56

I14_I4

57

I14_I3

58

I14_I2

59

I14_I1

60

I14_0

61

I13_1

62

I13_Q24

63

I13_Q23

64

I13_Q22

65

I13_Q21

66

I13_Q20

67

I13_Q19

68

I13_Q18

69

I13_Q17

70

I13_Q16

71

I13_Q15

72

I13_Q14

73

I13_Q13

74

I13_I12

75

I13_I11

76

I13_I10

77

I13_I9

78

I13_I8

79

I13_I7

80

I13_I6

81

I13_I5

82

I13_I4

83

I13_I3

84

I13_I2

85

I13_I1

86

I13_0

87

I12_1

88

I12_Q24

89

I12_Q23

90

I12_Q22

91

I12_Q21

92

I12_Q20

93

I12_Q19

94

I12_Q18

95

I12_Q17

96

I12_Q16

97

I12_Q15

98

I12_Q14

99

I12_Q13

100

I12_Q12

101

I12_I11

102

I12_I10

103

I12_I9

104

I12_I8

105

I12_I7

106

I12_I6

107

I12_I5

108

I12_I4

109

I12_I3

110

I12_I2

111

I12_I1

112

I12_0

113

I11_1

114

I11_Q24

115

I11_Q23

116

I11_Q22

117

I11_Q21

118

I11_Q20

119

I11_Q19

120

I11_Q18

121

I11_Q17

122

I11_Q16

123

I11_Q15

124

I11_Q14

125

I11_Q13

126

I11_Q12

127

I11_Q11

128

I11_I10

129

I11_I9

130

I11_I8

131

I11_I7

132

I11_I6

133

I11_I5

134

I11_I4

135

I11_I3

136

I11_I2

137

I11_I1

138

I11_0

139

I10_1

140

I10_Q24

141

I10_Q23

142

I10_Q22

143

I10_Q21

144

I10_Q20

145

I10_Q19

146

I10_Q18

147

I10_Q17

148

I10_Q16

149

I10_Q15

150

I10_Q14

151

I10_Q13

152

I10_Q12

153

I10_Q11

154

I10_Q10

155

I10_I9

156

I10_I8

157

I10_I7

158

I10_I6

159

I10_I5

160

I10_I4

161

I10_I3

162

I10_I2

163

I10_I1

164

I10_0

165

I9_1

166

I9_Q24

167

I9_Q23

168

I9_Q22

169

I9_Q21

170

I9_Q20

171

I9_Q19

172

I9_Q18

173

I9_Q17

174

I9_Q16

175

I9_Q15

176

I9_Q14

177

I9_Q13

178

I9_Q12

179

I9_Q11

180

I9_Q10

181

I9_Q9

182

I9_I8

183

I9_I7

184

I9_I6

185

I9_I5

186

I9_I4

187

I9_I3

188

I9_I2

189

I9_I1

190

I9_0

191

I8_1

192

I8_Q24

193

I8_Q23

194

I8_Q22

195

I8_Q21

196

I8_Q20

197

I8_Q19

198

I8_Q18

199

I8_Q17

200

I8_Q16

201

I8_Q15

202

I8_Q14

203

I8_Q13

204

I8_Q12

205

I8_Q11

206

I8_Q10

207

I8_Q9

208

I8_Q8

209

I8_I7

210

I8_I6

211

I8_I5

212

I8_I4

213

I8_I3

214

I8_I2

215

I8_I1

216

I8_0

217

I7_1

218

I7_Q24

219

I7_Q23

220

I7_Q22

221

I7_Q21

222

I7_Q20

223

I7_Q19

224

I7_Q18

225

I7_Q17

226

I7_Q16

227

I7_Q15

228

I7_Q14

229

I7_Q13

230

I7_Q12

231

I7_Q11


 


Array Index

Correlation

Correlator_Counts_3

1

I7_Q10

2

I7_Q9

3

I7_Q8

4

I7_Q7

5

I7_I6

6

I7_I5

7

I7_I4

8

I7_I3

9

I7_I2

10

I7_I1

11

I7_0

12

I6_1

13

I6_Q24

14

I6_Q23

15

I6_Q22

16

I6_Q21

17

I6_Q20

18

I6_Q19

19

I6_Q18

20

I6_Q17

21

I6_Q16

22

I6_Q15

23

I6_Q14

24

I6_Q13

25

I6_Q12

26

I6_Q11

27

I6_Q10

28

I6_Q9

29

I6_Q8

30

I6_Q7

31

I6_Q6

32

I6_I5

33

I6_I4

34

I6_I3

35

I6_I2

36

I6_I1

37

I6_0

38

I5_1

39

I5_Q24

40

I5_Q23

41

I5_Q22

42

I5_Q21

43

I5_Q20

44

I5_Q19

45

I5_Q18

46

I5_Q17

47

I5_Q16

48

I5_Q15

49

I5_Q14

50

I5_Q13

51

I5_Q12

52

I5_Q11

53

I5_Q10

54

I5_Q9

55

I5_Q8

56

I5_Q7

57

I5_Q6

58

I5_Q5

59

I5_I4

60

I5_I3

61

I5_I2

62

I5_I1

63

I5_0

64

I4_1

65

I4_Q24

66

I4_Q23

67

I4_Q22

68

I4_Q21

69

I4_Q20

70

I4_Q19

71

I4_Q18

72

I4_Q17

73

I4_Q16

74

I4_Q15

75

I4_Q14

76

I4_Q13

77

I4_Q12

78

I4_Q11

79

I4_Q10

80

I4_Q9

81

I4_Q8

82

I4_Q7

83

I4_Q6

84

I4_Q5

85

I4_Q4

86

I4_I3

87

I4_I2

88

I4_I1

89

I4_0

90

I3_1

91

I3_Q24

92

I3_Q23

93

I3_Q22

94

I3_Q21

95

I3_Q20

96

I3_Q19

97

I3_Q18

98

I3_Q17

99

I3_Q16

100

I3_Q15

101

I3_Q14

102

I3_Q13

103

I3_Q12

104

I3_Q11

105

I3_Q10

106

I3_Q9

107

I3_Q8

108

I3_Q7

109

I3_Q6

110

I3_Q5

111

I3_Q4

112

I3_Q3

113

I3_I2

114

I3_I1

115

I3_0

116

I2_1

117

I2_Q24

118

I2_Q23

119

I2_Q22

120

I2_Q21

121

I2_Q20

122

I2_Q19

123

I2_Q18

124

I2_Q17

125

I2_Q16

126

I2_Q15

127

I2_Q14

128

I2_Q13

129

I2_Q12

130

I2_Q11

131

I2_Q10

132

I2_Q9

133

I2_Q8

134

I2_Q7

135

I2_Q6

136

I2_Q5

137

I2_Q4

138

I2_Q3

139

I2_Q2

140

I2_I1

141

I2_0

142

I1_1

143

I1_Q24

144

I1_Q23

145

I1_Q22

146

I1_Q21

147

I1_Q20

148

I1_Q19

149

I1_Q18

150

I1_Q17

151

I1_Q16

152

I1_Q15

153

I1_Q14

154

I1_Q13

155

I1_Q12

156

I1_Q11

157

I1_Q10

158

I1_Q9

159

I1_Q8

160

I1_Q7

161

I1_Q6

162

I1_Q5

163

I1_Q4

164

I1_Q3

165

I1_Q2

166

I1_Q1

167

I1_0

168

0_1-0

169

0_Q24

170

0_Q23

171

0_Q22

172

0_Q21

173

0_Q20

174

0_Q19

175

0_Q18

176

0_Q17

177

0_Q16

178

0_Q15

179

0_Q14

180

0_Q13

181

0_Q12

182

0_Q11

183

0_Q10

184

0_Q9

185

0_Q8

186

0_Q7

187

0_Q6

188

0_Q5

189

0_Q4

190

0_Q3

191

0_Q2

192

0_Q1

193

0_0-0


 


Array Index

Correlation

Correlator_Counts_4

1

1_1-1

2

1_Q48

3

1_Q47

4

1_Q46

5

1_Q45

6

1_Q44

7

1_Q43

8

1_Q42

9

1_Q41

10

1_Q40

11

1_Q39

12

1_Q38

13

1_Q37

14

1_Q36

15

1_Q35

16

1_Q34

17

1_Q33

18

1_Q32

19

1_Q31

20

1_Q30

21

1_Q29

22

1_Q28

23

1_Q27

24

1_Q26

25

1_Q25

26

1_0-1

27

I24_Q48

28

I24_Q47

29

I24_Q46

30

I24_Q45

31

I24_Q44

32

I24_Q43

33

I24_Q42

34

I24_Q41

35

I24_Q40


 


Array Index

Correlation

Correlator_Counts_5

1

I24_Q39

2

I24_Q38

3

I24_Q37

4

I24_Q36

5

I24_Q35

6

I24_Q34

7

I24_Q33

8

I24_Q32

9

I24_Q31

10

I24_Q30

11

I24_Q29

12

I24_Q28

13

I24_Q27

14

I24_Q26

15

I24_Q25

16

I23_Q48

17

I23_Q47

18

I23_Q46

19

I23_Q45

20

I23_Q44

21

I23_Q43

22

I23_Q42

23

I23_Q41

24

I23_Q40

25

I23_Q39

26

I23_Q38

27

I23_Q37

28

I23_Q36

29

I23_Q35

30

I23_Q34

31

I23_Q33

32

I23_Q32

33

I23_Q31

34

I23_Q30

35

I23_Q29

36

I23_Q28

37

I23_Q27

38

I23_Q26

39

I23_Q25

40

I22_Q48

41

I22_Q47

42

I22_Q46

43

I22_Q45

44

I22_Q44

45

I22_Q43

46

I22_Q42

47

I22_Q41

48

I22_Q40

49

I22_Q39

50

I22_Q38

51

I22_Q37

52

I22_Q36

53

I22_Q35

54

I22_Q34

55

I22_Q33

56

I22_Q32

57

I22_Q31

58

I22_Q30

59

I22_Q29

60

I22_Q28

61

I22_Q27

62

I22_Q26

63

I22_Q25

64

I21_Q48

65

I21_Q47

66

I21_Q46

67

I21_Q45

68

I21_Q44

69

I21_Q43

70

I21_Q42

71

I21_Q41

72

I21_Q40

73

I21_Q39

74

I21_Q38

75

I21_Q37

76

I21_Q36

77

I21_Q35

78

I21_Q34

79

I21_Q33

80

I21_Q32

81

I21_Q31

82

I21_Q30

83

I21_Q29

84

I21_Q28

85

I21_Q27

86

I21_Q26

87

I21_Q25

88

I20_Q48

89

I20_Q47

90

I20_Q46

91

I20_Q45

92

I20_Q44

93

I20_Q43

94

I20_Q42

95

I20_Q41

96

I20_Q40

97

I20_Q39

98

I20_Q38

99

I20_Q37

100

I20_Q36

101

I20_Q35

102

I20_Q34

103

I20_Q33

104

I20_Q32

105

I20_Q31

106

I20_Q30

107

I20_Q29

108

I20_Q28

109

I20_Q27

110

I20_Q26

111

I20_Q25

112

I19_Q48

113

I19_Q47

114

I19_Q46

115

I19_Q45

116

I19_Q44

117

I19_Q43

118

I19_Q42

119

I19_Q41

120

I19_Q40

121

I19_Q39

122

I19_Q38

123

I19_Q37

124

I19_Q36

125

I19_Q35

126

I19_Q34

127

I19_Q33

128

I19_Q32

129

I19_Q31

130

I19_Q30

131

I19_Q29

132

I19_Q28

133

I19_Q27

134

I19_Q26

135

I19_Q25

136

I18_Q48

137

I18_Q47

138

I18_Q46

139

I18_Q45

140

I18_Q44

141

I18_Q43

142

I18_Q42

143

I18_Q41

144

I18_Q40

145

I18_Q39

146

I18_Q38

147

I18_Q37

148

I18_Q36

149

I18_Q35

150

I18_Q34

151

I18_Q33

152

I18_Q32

153

I18_Q31

154

I18_Q30

155

I18_Q29

156

I18_Q28

157

I18_Q27

158

I18_Q26

159

I18_Q25

160

I17_Q48

161

I17_Q47

162

I17_Q46

163

I17_Q45

164

I17_Q44

165

I17_Q43

166

I17_Q42

167

I17_Q41

168

I17_Q40

169

I17_Q39

170

I17_Q38

171

I17_Q37

172

I17_Q36

173

I17_Q35

174

I17_Q34

175

I17_Q33

176

I17_Q32

177

I17_Q31

178

I17_Q30

179

I17_Q29

180

I17_Q28

181

I17_Q27

182

I17_Q26

183

I17_Q25

184

I16_Q48

185

I16_Q47

186

I16_Q46

187

I16_Q45

188

I16_Q44

189

I16_Q43

190

I16_Q42

191

I16_Q41

192

I16_Q40

193

I16_Q39

194

I16_Q38

195

I16_Q37

196

I16_Q36

197

I16_Q35

198

I16_Q34

199

I16_Q33

200

I16_Q32

201

I16_Q31

202

I16_Q30

203

I16_Q29

204

I16_Q28

205

I16_Q27

206

I16_Q26

207

I16_Q25

208

I15_Q48

209

I15_Q47

210

I15_Q46

211

I15_Q45

212

I15_Q44

213

I15_Q43

214

I15_Q42

215

I15_Q41

216

I15_Q40

217

I15_Q39

218

I15_Q38

219

I15_Q37

220

I15_Q36

221

I15_Q35

222

I15_Q34

223

I15_Q33

224

I15_Q32

225

I15_Q31

226

I15_Q30

227

I15_Q29

228

I15_Q28

229

I15_Q27

230

I15_Q26

231

I15_Q25


 


Array Index

Correlation

Correlator_Counts_6

1

I14_Q48

2

I14_Q47

3

I14_Q46

4

I14_Q45

5

I14_Q44

6

I14_Q43

7

I14_Q42

8

I14_Q41

9

I14_Q40

10

I14_Q39

11

I14_Q38

12

I14_Q37

13

I14_Q36

14

I14_Q35

15

I14_Q34

16

I14_Q33

17

I14_Q32

18

I14_Q31

19

I14_Q30

20

I14_Q29

21

I14_Q28

22

I14_Q27

23

I14_Q26

24

I14_Q25

25

I13_Q48

26

I13_Q47

27

I13_Q46

28

I13_Q45

29

I13_Q44

30

I13_Q43

31

I13_Q42

32

I13_Q41

33

I13_Q40

34

I13_Q39

35

I13_Q38

36

I13_Q37

37

I13_Q36

38

I13_Q35

39

I13_Q34

40

I13_Q33

41

I13_Q32

42

I13_Q31

43

I13_Q30

44

I13_Q29

45

I13_Q28

46

I13_Q27

47

I13_Q26

48

I13_Q25

49

I12_Q48

50

I12_Q47

51

I12_Q46

52

I12_Q45

53

I12_Q44

54

I12_Q43

55

I12_Q42

56

I12_Q41

57

I12_Q40

58

I12_Q39

59

I12_Q38

60

I12_Q37

61

I12_Q36

62

I12_Q35

63

I12_Q34

64

I12_Q33

65

I12_Q32

66

I12_Q31

67

I12_Q30

68

I12_Q29

69

I12_Q28

70

I12_Q27

71

I12_Q26

72

I12_Q25

73

I11_Q48

74

I11_Q47

75

I11_Q46

76

I11_Q45

77

I11_Q44

78

I11_Q43

79

I11_Q42

80

I11_Q41

81

I11_Q40

82

I11_Q39

83

I11_Q38

84

I11_Q37

85

I11_Q36

86

I11_Q35

87

I11_Q34

88

I11_Q33

89

I11_Q32

90

I11_Q31

91

I11_Q30

92

I11_Q29

93

I11_Q28

94

I11_Q27

95

I11_Q26

96

I11_Q25

97

I10_Q48

98

I10_Q47

99

I10_Q46

100

I10_Q45

101

I10_Q44

102

I10_Q43

103

I10_Q42

104

I10_Q41

105

I10_Q40

106

I10_Q39

107

I10_Q38

108

I10_Q37

109

I10_Q36

110

I10_Q35

111

I10_Q34

112

I10_Q33

113

I10_Q32

114

I10_Q31

115

I10_Q30

116

I10_Q29

117

I10_Q28

118

I10_Q27

119

I10_Q26

120

I10_Q25

121

I9_Q48

122

I9_Q47

123

I9_Q46

124

I9_Q45

125

I9_Q44

126

I9_Q43

127

I9_Q42

128

I9_Q41

129

I9_Q40

130

I9_Q39

131

I9_Q38

132

I9_Q37

133

I9_Q36

134

I9_Q35

135

I9_Q34

136

I9_Q33

137

I9_Q32

138

I9_Q31

139

I9_Q30

140

I9_Q29

141

I9_Q28

142

I9_Q27

143

I9_Q26

144

I9_Q25

145

I8_Q48

146

I8_Q47

147

I8_Q46

148

I8_Q45

149

I8_Q44

150

I8_Q43

151

I8_Q42

152

I8_Q41

153

I8_Q40

154

I8_Q39

155

I8_Q38

156

I8_Q37

157

I8_Q36

158

I8_Q35

159

I8_Q34

160

I8_Q33

161

I8_Q32

162

I8_Q31

163

I8_Q30

164

I8_Q29

165

I8_Q28

166

I8_Q27

167

I8_Q26

168

I8_Q25

169

I7_Q48

170

I7_Q47

171

I7_Q46

172

I7_Q45

173

I7_Q44

174

I7_Q43

175

I7_Q42

176

I7_Q41

177

I7_Q40

178

I7_Q39

179

I7_Q38

180

I7_Q37

181

I7_Q36

182

I7_Q35

183

I7_Q34

184

I7_Q33

185

I7_Q32

186

I7_Q31

187

I7_Q30

188

I7_Q29

189

I7_Q28

190

I7_Q27

191

I7_Q26

192

I7_Q25

193

I6_Q48

194

I6_Q47

195

I6_Q46

196

I6_Q45

197

I6_Q44

198

I6_Q43

199

I6_Q42

200

I6_Q41

201

I6_Q40

202

I6_Q39

203

I6_Q38

204

I6_Q37

205

I6_Q36

206

I6_Q35

207

I6_Q34

208

I6_Q33

209

I6_Q32

210

I6_Q31

211

I6_Q30

212

I6_Q29

213

I6_Q28

214

I6_Q27

215

I6_Q26

216

I6_Q25

217

I5_Q48

218

I5_Q47

219

I5_Q46

220

I5_Q45

221

I5_Q44

222

I5_Q43

223

I5_Q42

224

I5_Q41

225

I5_Q40

226

I5_Q39

227

I5_Q38

228

I5_Q37

229

I5_Q36

230

I5_Q35

231

I5_Q34


 


Array Index

Correlation

Correlator_Counts_7

1

I5_Q33

2

I5_Q32

3

I5_Q31

4

I5_Q30

5

I5_Q29

6

I5_Q28

7

I5_Q27

8

I5_Q26

9

I5_Q25

10

I4_Q48

11

I4_Q47

12

I4_Q46

13

I4_Q45

14

I4_Q44

15

I4_Q43

16

I4_Q42

17

I4_Q41

18

I4_Q40

19

I4_Q39

20

I4_Q38

21

I4_Q37

22

I4_Q36

23

I4_Q35

24

I4_Q34

25

I4_Q33

26

I4_Q32

27

I4_Q31

28

I4_Q30

29

I4_Q29

30

I4_Q28

31

I4_Q27

32

I4_Q26

33

I4_Q25

34

I3_Q48

35

I3_Q47

36

I3_Q46

37

I3_Q45

38

I3_Q44

39

I3_Q43

40

I3_Q42

41

I3_Q41

42

I3_Q40

43

I3_Q39

44

I3_Q38

45

I3_Q37

46

I3_Q36

47

I3_Q35

48

I3_Q34

49

I3_Q33

50

I3_Q32

51

I3_Q31

52

I3_Q30

53

I3_Q29

54

I3_Q28

55

I3_Q27

56

I3_Q26

57

I3_Q25

58

I2_Q48

59

I2_Q47

60

I2_Q46

61

I2_Q45

62

I2_Q44

63

I2_Q43

64

I2_Q42

65

I2_Q41

66

I2_Q40

67

I2_Q39

68

I2_Q38

69

I2_Q37

70

I2_Q36

71

I2_Q35

72

I2_Q34

73

I2_Q33

74

I2_Q32

75

I2_Q31

76

I2_Q30

77

I2_Q29

78

I2_Q28

79

I2_Q27

80

I2_Q26

81

I2_Q25

82

I1_Q48

83

I1_Q47

84

I1_Q46

85

I1_Q45

86

I1_Q44

87

I1_Q43

88

I1_Q42

89

I1_Q41

90

I1_Q40

91

I1_Q39

92

I1_Q38

93

I1_Q37

94

I1_Q36

95

I1_Q35

96

I1_Q34

97

I1_Q33

98

I1_Q32

99

I1_Q31

100

I1_Q30

101

I1_Q29

102

I1_Q28

103

I1_Q27

104

I1_Q26

105

I1_Q25

106

0_1-1

107

0_Q48

108

0_Q47

109

0_Q46

110

0_Q45

111

0_Q44

112

0_Q43

113

0_Q42

114

0_Q41

115

0_Q40

116

0_Q39

117

0_Q38

118

0_Q37

119

0_Q36

120

0_Q35

121

0_Q34

122

0_Q33

123

0_Q32

124

0_Q31

125

0_Q30

126

0_Q29

127

0_Q28

128

0_Q27

129

0_Q26

130

0_Q25

131

0_0-1


 


Array Index

Correlation

Correlator_Counts_8

1

1_1-2

2

1_Q72

3

1_Q71

4

1_Q70

5

1_Q69

6

1_Q68

7

1_Q67

8

1_Q66

9

1_Q65

10

1_Q64

11

1_Q63

12

1_Q62

13

1_Q61

14

1_Q60

15

1_Q59

16

1_Q58

17

1_Q57

18

1_Q56

19

1_Q55

20

1_Q54

21

1_Q53

22

1_Q52

23

1_Q51

24

1_Q50

25

1_Q49

26

1_0-2

27

I24_Q72

28

I24_Q71

29

I24_Q70

30

I24_Q69

31

I24_Q68

32

I24_Q67

33

I24_Q66

34

I24_Q65

35

I24_Q64

36

I24_Q63

37

I24_Q62

38

I24_Q61

39

I24_Q60

40

I24_Q59

41

I24_Q58

42

I24_Q57

43

I24_Q56

44

I24_Q55

45

I24_Q54

46

I24_Q53

47

I24_Q52

48

I24_Q51

49

I24_Q50

50

I24_Q49

51

I23_Q72

52

I23_Q71

53

I23_Q70

54

I23_Q69

55

I23_Q68

56

I23_Q67

57

I23_Q66

58

I23_Q65

59

I23_Q64

60

I23_Q63

61

I23_Q62

62

I23_Q61

63

I23_Q60

64

I23_Q59

65

I23_Q58

66

I23_Q57

67

I23_Q56

68

I23_Q55

69

I23_Q54

70

I23_Q53

71

I23_Q52

72

I23_Q51

73

I23_Q50

74

I23_Q49

75

I22_Q72

76

I22_Q71

77

I22_Q70

78

I22_Q69

79

I22_Q68

80

I22_Q67

81

I22_Q66

82

I22_Q65

83

I22_Q64

84

I22_Q63

85

I22_Q62

86

I22_Q61

87

I22_Q60

88

I22_Q59

89

I22_Q58

90

I22_Q57

91

I22_Q56

92

I22_Q55

93

I22_Q54

94

I22_Q53

95

I22_Q52

96

I22_Q51

97

I22_Q50


 


Array Index

Correlation

Correlator_Counts_9

1

I22_Q49

2

I21_Q72

3

I21_Q71

4

I21_Q70

5

I21_Q69

6

I21_Q68

7

I21_Q67

8

I21_Q66

9

I21_Q65

10

I21_Q64

11

I21_Q63

12

I21_Q62

13

I21_Q61

14

I21_Q60

15

I21_Q59

16

I21_Q58

17

I21_Q57

18

I21_Q56

19

I21_Q55

20

I21_Q54

21

I21_Q53

22

I21_Q52

23

I21_Q51

24

I21_Q50

25

I21_Q49

26

I20_Q72

27

I20_Q71

28

I20_Q70

29

I20_Q69

30

I20_Q68

31

I20_Q67

32

I20_Q66

33

I20_Q65

34

I20_Q64

35

I20_Q63

36

I20_Q62

37

I20_Q61

38

I20_Q60

39

I20_Q59

40

I20_Q58

41

I20_Q57

42

I20_Q56

43

I20_Q55

44

I20_Q54

45

I20_Q53

46

I20_Q52

47

I20_Q51

48

I20_Q50

49

I20_Q49

50

I19_Q72

51

I19_Q71

52

I19_Q70

53

I19_Q69

54

I19_Q68

55

I19_Q67

56

I19_Q66

57

I19_Q65

58

I19_Q64

59

I19_Q63

60

I19_Q62

61

I19_Q61

62

I19_Q60

63

I19_Q59

64

I19_Q58

65

I19_Q57

66

I19_Q56

67

I19_Q55

68

I19_Q54

69

I19_Q53

70

I19_Q52

71

I19_Q51

72

I19_Q50

73

I19_Q49

74

I18_Q72

75

I18_Q71

76

I18_Q70

77

I18_Q69

78

I18_Q68

79

I18_Q67

80

I18_Q66

81

I18_Q65

82

I18_Q64

83

I18_Q63

84

I18_Q62

85

I18_Q61

86

I18_Q60

87

I18_Q59

88

I18_Q58

89

I18_Q57

90

I18_Q56

91

I18_Q55

92

I18_Q54

93

I18_Q53

94

I18_Q52

95

I18_Q51

96

I18_Q50

97

I18_Q49

98

I17_Q72

99

I17_Q71

100

I17_Q70

101

I17_Q69

102

I17_Q68

103

I17_Q67

104

I17_Q66

105

I17_Q65

106

I17_Q64

107

I17_Q63

108

I17_Q62

109

I17_Q61

110

I17_Q60

111

I17_Q59

112

I17_Q58

113

I17_Q57

114

I17_Q56

115

I17_Q55

116

I17_Q54

117

I17_Q53

118

I17_Q52

119

I17_Q51

120

I17_Q50

121

I17_Q49

122

I16_Q72

123

I16_Q71

124

I16_Q70

125

I16_Q69

126

I16_Q68

127

I16_Q67

128

I16_Q66

129

I16_Q65

130

I16_Q64

131

I16_Q63

132

I16_Q62

133

I16_Q61

134

I16_Q60

135

I16_Q59

136

I16_Q58

137

I16_Q57

138

I16_Q56

139

I16_Q55

140

I16_Q54

141

I16_Q53

142

I16_Q52

143

I16_Q51

144

I16_Q50

145

I16_Q49

146

I15_Q72

147

I15_Q71

148

I15_Q70

149

I15_Q69

150

I15_Q68

151

I15_Q67

152

I15_Q66

153

I15_Q65

154

I15_Q64

155

I15_Q63

156

I15_Q62

157

I15_Q61

158

I15_Q60

159

I15_Q59

160

I15_Q58

161

I15_Q57

162

I15_Q56

163

I15_Q55

164

I15_Q54

165

I15_Q53

166

I15_Q52

167

I15_Q51

168

I15_Q50

169

I15_Q49

170

I14_Q72

171

I14_Q71

172

I14_Q70

173

I14_Q69

174

I14_Q68

175

I14_Q67

176

I14_Q66

177

I14_Q65

178

I14_Q64

179

I14_Q63

180

I14_Q62

181

I14_Q61

182

I14_Q60

183

I14_Q59

184

I14_Q58

185

I14_Q57

186

I14_Q56

187

I14_Q55

188

I14_Q54

189

I14_Q53

190

I14_Q52

191

I14_Q51

192

I14_Q50

193

I14_Q49

194

I13_Q72

195

I13_Q71

196

I13_Q70

197

I13_Q69

198

I13_Q68

199

I13_Q67

200

I13_Q66

201

I13_Q65

202

I13_Q64

203

I13_Q63

204

I13_Q62

205

I13_Q61

206

I13_Q60

207

I13_Q59

208

I13_Q58

209

I13_Q57

210

I13_Q56

211

I13_Q55

212

I13_Q54

213

I13_Q53

214

I13_Q52

215

I13_Q51

216

I13_Q50

217

I13_Q49

218

I12_Q72

219

I12_Q71

220

I12_Q70

221

I12_Q69

222

I12_Q68

223

I12_Q67

224

I12_Q66

225

I12_Q65

226

I12_Q64

227

I12_Q63

228

I12_Q62

229

I12_Q61

230

I12_Q60

231

I12_Q59


 


Array Index

Correlation

Correlator_Counts_10

1

I12_Q58

2

I12_Q57

3

I12_Q56

4

I12_Q55

5

I12_Q54

6

I12_Q53

7

I12_Q52

8

I12_Q51

9

I12_Q50

10

I12_Q49

11

I11_Q72

12

I11_Q71

13

I11_Q70

14

I11_Q69

15

I11_Q68

16

I11_Q67

17

I11_Q66

18

I11_Q65

19

I11_Q64

20

I11_Q63

21

I11_Q62

22

I11_Q61

23

I11_Q60

24

I11_Q59

25

I11_Q58

26

I11_Q57

27

I11_Q56

28

I11_Q55

29

I11_Q54

30

I11_Q53

31

I11_Q52

32

I11_Q51

33

I11_Q50

34

I11_Q49

35

I10_Q72

36

I10_Q71

37

I10_Q70

38

I10_Q69

39

I10_Q68

40

I10_Q67

41

I10_Q66

42

I10_Q65

43

I10_Q64

44

I10_Q63

45

I10_Q62

46

I10_Q61

47

I10_Q60

48

I10_Q59

49

I10_Q58

50

I10_Q57

51

I10_Q56

52

I10_Q55

53

I10_Q54

54

I10_Q53

55

I10_Q52

56

I10_Q51

57

I10_Q50

58

I10_Q49

59

I9_Q72

60

I9_Q71

61

I9_Q70

62

I9_Q69

63

I9_Q68

64

I9_Q67

65

I9_Q66

66

I9_Q65

67

I9_Q64

68

I9_Q63

69

I9_Q62

70

I9_Q61

71

I9_Q60

72

I9_Q59

73

I9_Q58

74

I9_Q57

75

I9_Q56

76

I9_Q55

77

I9_Q54

78

I9_Q53

79

I9_Q52

80

I9_Q51

81

I9_Q50

82

I9_Q49

83

I8_Q72

84

I8_Q71

85

I8_Q70

86

I8_Q69

87

I8_Q68

88

I8_Q67

89

I8_Q66

90

I8_Q65

91

I8_Q64

92

I8_Q63

93

I8_Q62

94

I8_Q61

95

I8_Q60

96

I8_Q59

97

I8_Q58

98

I8_Q57

99

I8_Q56

100

I8_Q55

101

I8_Q54

102

I8_Q53

103

I8_Q52

104

I8_Q51

105

I8_Q50

106

I8_Q49

107

I7_Q72

108

I7_Q71

109

I7_Q70

110

I7_Q69

111

I7_Q68

112

I7_Q67

113

I7_Q66

114

I7_Q65

115

I7_Q64

116

I7_Q63

117

I7_Q62

118

I7_Q61

119

I7_Q60

120

I7_Q59

121

I7_Q58

122

I7_Q57

123

I7_Q56

124

I7_Q55

125

I7_Q54

126

I7_Q53

127

I7_Q52

128

I7_Q51

129

I7_Q50

130

I7_Q49

131

I6_Q72

132

I6_Q71

133

I6_Q70

134

I6_Q69

135

I6_Q68

136

I6_Q67

137

I6_Q66

138

I6_Q65

139

I6_Q64

140

I6_Q63

141

I6_Q62

142

I6_Q61

143

I6_Q60

144

I6_Q59

145

I6_Q58

146

I6_Q57

147

I6_Q56

148

I6_Q55

149

I6_Q54

150

I6_Q53

151

I6_Q52

152

I6_Q51

153

I6_Q50

154

I6_Q49

155

I5_Q72

156

I5_Q71

157

I5_Q70

158

I5_Q69

159

I5_Q68

160

I5_Q67

161

I5_Q66

162

I5_Q65

163

I5_Q64

164

I5_Q63

165

I5_Q62

166

I5_Q61

167

I5_Q60

168

I5_Q59

169

I5_Q58

170

I5_Q57

171

I5_Q56

172

I5_Q55

173

I5_Q54

174

I5_Q53

175

I5_Q52

176

I5_Q51

177

I5_Q50

178

I5_Q49

179

I4_Q72

180

I4_Q71

181

I4_Q70

182

I4_Q69

183

I4_Q68

184

I4_Q67

185

I4_Q66

186

I4_Q65

187

I4_Q64

188

I4_Q63

189

I4_Q62

190

I4_Q61

191

I4_Q60

192

I4_Q59

193

I4_Q58

194

I4_Q57

195

I4_Q56

196

I4_Q55

197

I4_Q54

198

I4_Q53

199

I4_Q52

200

I4_Q51

201

I4_Q50

202

I4_Q49

203

I3_Q72

204

I3_Q71

205

I3_Q70

206

I3_Q69

207

I3_Q68

208

I3_Q67

209

I3_Q66

210

I3_Q65

211

I3_Q64

212

I3_Q63

213

I3_Q62

214

I3_Q61

215

I3_Q60

216

I3_Q59

217

I3_Q58

218

I3_Q57

219

I3_Q56

220

I3_Q55

221

I3_Q54

222

I3_Q53

223

I3_Q52

224

I3_Q51

225

I3_Q50

226

I3_Q49

227

I2_Q72

228

I2_Q71

229

I2_Q70

230

I2_Q69

231

I2_Q68


 


Array Index

Correlation

Correlator_Counts_11

1

I2_Q67

2

I2_Q66

3

I2_Q65

4

I2_Q64

5

I2_Q63

6

I2_Q62

7

I2_Q61

8

I2_Q60

9

I2_Q59

10

I2_Q58

11

I2_Q57

12

I2_Q56

13

I2_Q55

14

I2_Q54

15

I2_Q53

16

I2_Q52

17

I2_Q51

18

I2_Q50

19

I2_Q49

20

I1_Q72

21

I1_Q71

22

I1_Q70

23

I1_Q69

24

I1_Q68

25

I1_Q67

26

I1_Q66

27

I1_Q65

28

I1_Q64

29

I1_Q63

30

I1_Q62

31

I1_Q61

32

I1_Q60

33

I1_Q59

34

I1_Q58

35

I1_Q57

36

I1_Q56

37

I1_Q55

38

I1_Q54

39

I1_Q53

40

I1_Q52

41

I1_Q51

42

I1_Q50

43

I1_Q49

44

0_1-2

45

0_Q72

46

0_Q71

47

0_Q70

48

0_Q69

49

0_Q68

50

0_Q67

51

0_Q66

52

0_Q65

53

0_Q64

54

0_Q63

55

0_Q62

56

0_Q61

57

0_Q60

58

0_Q59

59

0_Q58

60

0_Q57

61

0_Q56

62

0_Q55

63

0_Q54

64

0_Q53

65

0_Q52

66

0_Q51

67

0_Q50

68

0_Q49

69

0_0-2


 


Array Index

Correlation

Correlator_Counts_12

1

1_1-3

2

1_0-3

3

I48_1

4

I48_I24

5

I48_I23

6

I48_I22

7

I48_I21

8

I48_I20

9

I48_I19

10

I48_I18

11

I48_I17

12

I48_I16

13

I48_I15

14

I48_I14

15

I48_I13

16

I48_I12

17

I48_I11

18

I48_I10

19

I48_I9

20

I48_I8

21

I48_I7

22

I48_I6

23

I48_I5

24

I48_I4

25

I48_I3

26

I48_I2

27

I48_I1

28

I48_0

29

I47_1

30

I47_I24

31

I47_I23

32

I47_I22

33

I47_I21

34

I47_I20

35

I47_I19

36

I47_I18

37

I47_I17

38

I47_I16

39

I47_I15

40

I47_I14

41

I47_I13

42

I47_I12

43

I47_I11

44

I47_I10

45

I47_I9

46

I47_I8

47

I47_I7

48

I47_I6

49

I47_I5

50

I47_I4

51

I47_I3

52

I47_I2

53

I47_I1

54

I47_0

55

I46_1

56

I46_I24

57

I46_I23

58

I46_I22

59

I46_I21

60

I46_I20

61

I46_I19

62

I46_I18

63

I46_I17

64

I46_I16

65

I46_I15

66

I46_I14

67

I46_I13

68

I46_I12

69

I46_I11

70

I46_I10

71

I46_I9

72

I46_I8

73

I46_I7

74

I46_I6

75

I46_I5

76

I46_I4

77

I46_I3

78

I46_I2

79

I46_I1

80

I46_0

81

I45_1

82

I45_I24

83

I45_I23

84

I45_I22

85

I45_I21

86

I45_I20

87

I45_I19

88

I45_I18

89

I45_I17

90

I45_I16

91

I45_I15

92

I45_I14

93

I45_I13

94

I45_I12

95

I45_I11

96

I45_I10

97

I45_I9

98

I45_I8

99

I45_I7

100

I45_I6

101

I45_I5

102

I45_I4

103

I45_I3

104

I45_I2

105

I45_I1

106

I45_0

107

I44_1

108

I44_I24

109

I44_I23

110

I44_I22

111

I44_I21

112

I44_I20

113

I44_I19

114

I44_I18

115

I44_I17

116

I44_I16

117

I44_I15

118

I44_I14

119

I44_I13

120

I44_I12

121

I44_I11

122

I44_I10

123

I44_I9

124

I44_I8

125

I44_I7

126

I44_I6

127

I44_I5

128

I44_I4

129

I44_I3

130

I44_I2

131

I44_I1

132

I44_0

133

I43_1

134

I43_I24

135

I43_I23

136

I43_I22

137

I43_I21

138

I43_I20

139

I43_I19

140

I43_I18

141

I43_I17

142

I43_I16

143

I43_I15

144

I43_I14

145

I43_I13

146

I43_I12

147

I43_I11

148

I43_I10

149

I43_I9

150

I43_I8

151

I43_I7

152

I43_I6

153

I43_I5

154

I43_I4

155

I43_I3

156

I43_I2

157

I43_I1

158

I43_0

159

I42_1


 


Array Index

Correlation

Correlator_Counts_13

1

I42_I24

2

I42_I23

3

I42_I22

4

I42_I21

5

I42_I20

6

I42_I19

7

I42_I18

8

I42_I17

9

I42_I16

10

I42_I15

11

I42_I14

12

I42_I13

13

I42_I12

14

I42_I11

15

I42_I10

16

I42_I9

17

I42_I8

18

I42_I7

19

I42_I6

20

I42_I5

21

I42_I4

22

I42_I3

23

I42_I2

24

I42_I1

25

I42_0

26

I41_1

27

I41_I24

28

I41_I23

29

I41_I22

30

I41_I21

31

I41_I20

32

I41_I19

33

I41_I18

34

I41_I17

35

I41_I16

36

I41_I15

37

I41_I14

38

I41_I13

39

I41_I12

40

I41_I11

41

I41_I10

42

I41_I9

43

I41_I8

44

I41_I7

45

I41_I6

46

I41_I5

47

I41_I4

48

I41_I3

49

I41_I2

50

I41_I1

51

I41_0

52

I40_1

53

I40_I24

54

I40_I23

55

I40_I22

56

I40_I21

57

I40_I20

58

I40_I19

59

I40_I18

60

I40_I17

61

I40_I16

62

I40_I15

63

I40_I14

64

I40_I13

65

I40_I12

66

I40_I11

67

I40_I10

68

I40_I9

69

I40_I8

70

I40_I7

71

I40_I6

72

I40_I5

73

I40_I4

74

I40_I3

75

I40_I2

76

I40_I1

77

I40_0

78

I39_1

79

I39_I24

80

I39_I23

81

I39_I22

82

I39_I21

83

I39_I20

84

I39_I19

85

I39_I18

86

I39_I17

87

I39_I16

88

I39_I15

89

I39_I14

90

I39_I13

91

I39_I12

92

I39_I11

93

I39_I10

94

I39_I9

95

I39_I8

96

I39_I7

97

I39_I6

98

I39_I5

99

I39_I4

100

I39_I3

101

I39_I2

102

I39_I1

103

I39_0

104

I38_1

105

I38_I24

106

I38_I23

107

I38_I22

108

I38_I21

109

I38_I20

110

I38_I19

111

I38_I18

112

I38_I17

113

I38_I16

114

I38_I15

115

I38_I14

116

I38_I13

117

I38_I12

118

I38_I11

119

I38_I10

120

I38_I9

121

I38_I8

122

I38_I7

123

I38_I6

124

I38_I5

125

I38_I4

126

I38_I3

127

I38_I2

128

I38_I1

129

I38_0

130

I37_1

131

I37_I24

132

I37_I23

133

I37_I22

134

I37_I21

135

I37_I20

136

I37_I19

137

I37_I18

138

I37_I17

139

I37_I16

140

I37_I15

141

I37_I14

142

I37_I13

143

I37_I12

144

I37_I11

145

I37_I10

146

I37_I9

147

I37_I8

148

I37_I7

149

I37_I6

150

I37_I5

151

I37_I4

152

I37_I3

153

I37_I2

154

I37_I1

155

I37_0

156

I36_1

157

I36_I24

158

I36_I23

159

I36_I22

160

I36_I21

161

I36_I20

162

I36_I19

163

I36_I18

164

I36_I17

165

I36_I16

166

I36_I15

167

I36_I14

168

I36_I13

169

I36_I12

170

I36_I11

171

I36_I10

172

I36_I9

173

I36_I8

174

I36_I7

175

I36_I6

176

I36_I5

177

I36_I4

178

I36_I3

179

I36_I2

180

I36_I1

181

I36_0

182

I35_1

183

I35_I24

184

I35_I23

185

I35_I22

186

I35_I21

187

I35_I20

188

I35_I19

189

I35_I18

190

I35_I17

191

I35_I16

192

I35_I15

193

I35_I14

194

I35_I13

195

I35_I12

196

I35_I11

197

I35_I10

198

I35_I9

199

I35_I8

200

I35_I7

201

I35_I6

202

I35_I5

203

I35_I4

204

I35_I3

205

I35_I2

206

I35_I1

207

I35_0

208

I34_1

209

I34_I24

210

I34_I23

211

I34_I22

212

I34_I21

213

I34_I20

214

I34_I19

215

I34_I18

216

I34_I17

217

I34_I16

218

I34_I15

219

I34_I14

220

I34_I13

221

I34_I12

222

I34_I11

223

I34_I10

224

I34_I9

225

I34_I8

226

I34_I7

227

I34_I6

228

I34_I5

229

I34_I4

230

I34_I3

231

I34_I2


 

 

 


Array Index

Correlation

Correlator_Counts_14

1

I34_I1

2

I34_0

3

I33_1

4

I33_I24

5

I33_I23

6

I33_I22

7

I33_I21

8

I33_I20

9

I33_I19

10

I33_I18

11

I33_I17

12

I33_I16

13

I33_I15

14

I33_I14

15

I33_I13

16

I33_I12

17

I33_I11

18

I33_I10

19

I33_I9

20

I33_I8

21

I33_I7

22

I33_I6

23

I33_I5

24

I33_I4

25

I33_I3

26

I33_I2

27

I33_I1

28

I33_0

29

I32_1

30

I32_I24

31

I32_I23

32

I32_I22

33

I32_I21

34

I32_I20

35

I32_I19

36

I32_I18

37

I32_I17

38

I32_I16

39

I32_I15

40

I32_I14

41

I32_I13

42

I32_I12

43

I32_I11

44

I32_I10

45

I32_I9

46

I32_I8

47

I32_I7

48

I32_I6

49

I32_I5

50

I32_I4

51

I32_I3

52

I32_I2

53

I32_I1

54

I32_0

55

I31_1

56

I31_I24

57

I31_I23

58

I31_I22

59

I31_I21

60

I31_I20

61

I31_I19

62

I31_I18

63

I31_I17

64

I31_I16

65

I31_I15

66

I31_I14

67

I31_I13

68

I31_I12

69

I31_I11

70

I31_I10

71

I31_I9

72

I31_I8

73

I31_I7

74

I31_I6

75

I31_I5

76

I31_I4

77

I31_I3

78

I31_I2

79

I31_I1

80

I31_0

81

I30_1

82

I30_I24

83

I30_I23

84

I30_I22

85

I30_I21

86

I30_I20

87

I30_I19

88

I30_I18

89

I30_I17

90

I30_I16

91

I30_I15

92

I30_I14

93

I30_I13

94

I30_I12

95

I30_I11

96

I30_I10

97

I30_I9

98

I30_I8

99

I30_I7

100

I30_I6

101

I30_I5

102

I30_I4

103

I30_I3

104

I30_I2

105

I30_I1

106

I30_0

107

I29_1

108

I29_I24

109

I29_I23

110

I29_I22

111

I29_I21

112

I29_I20

113

I29_I19

114

I29_I18

115

I29_I17

116

I29_I16

117

I29_I15

118

I29_I14

119

I29_I13

120

I29_I12

121

I29_I11

122

I29_I10

123

I29_I9

124

I29_I8

125

I29_I7

126

I29_I6

127

I29_I5

128

I29_I4

129

I29_I3

130

I29_I2

131

I29_I1

132

I29_0

133

I28_1

134

I28_I24

135

I28_I23

136

I28_I22

137

I28_I21

138

I28_I20

139

I28_I19

140

I28_I18

141

I28_I17

142

I28_I16

143

I28_I15

144

I28_I14

145

I28_I13

146

I28_I12

147

I28_I11

148

I28_I10

149

I28_I9

150

I28_I8

151

I28_I7

152

I28_I6

153

I28_I5

154

I28_I4

155

I28_I3

156

I28_I2

157

I28_I1

158

I28_0

159

I27_1

160

I27_I24

161

I27_I23

162

I27_I22

163

I27_I21

164

I27_I20

165

I27_I19

166

I27_I18

167

I27_I17

168

I27_I16

169

I27_I15

170

I27_I14

171

I27_I13

172

I27_I12

173

I27_I11

174

I27_I10

175

I27_I9

176

I27_I8

177

I27_I7

178

I27_I6

179

I27_I5

180

I27_I4

181

I27_I3

182

I27_I2

183

I27_I1

184

I27_0

185

I26_1

186

I26_I24

187

I26_I23

188

I26_I22

189

I26_I21

190

I26_I20

191

I26_I19

192

I26_I18

193

I26_I17

194

I26_I16

195

I26_I15

196

I26_I14

197

I26_I13

198

I26_I12

199

I26_I11

200

I26_I10

201

I26_I9

202

I26_I8

203

I26_I7

204

I26_I6

205

I26_I5

206

I26_I4

207

I26_I3

208

I26_I2

209

I26_I1

210

I26_0

211

I25_1

212

I25_I24

213

I25_I23

214

I25_I22

215

I25_I21

216

I25_I20

217

I25_I19

218

I25_I18

219

I25_I17

220

I25_I16

221

I25_I15

222

I25_I14

223

I25_I13

224

I25_I12

225

I25_I11

226

I25_I10

227

I25_I9

228

I25_I8

229

I25_I7

230

I25_I6

231

I25_I5


 

Array Index

Correlation

Correlator_Counts_15

1

I25_I4

2

I25_I3

3

I25_I2

4

I25_I1

5

I25_0

6

0_1-3

7

0_0-3

 


Array Index

Correlation

Correlator_Counts_16

1

1_1-4

2

1_0-4

3

I48_Q48

4

I48_I47

5

I48_I46

6

I48_I45

7

I48_I44

8

I48_I43

9

I48_I42

10

I48_I41

11

I48_I40

12

I48_I39

13

I48_I38

14

I48_I37

15

I48_I36

16

I48_I35

17

I48_I34

18

I48_I33

19

I48_I32

20

I48_I31

21

I48_I30

22

I48_I29

23

I48_I28

24

I48_I27

25

I48_I26

26

I48_I25

27

I47_Q48

28

I47_Q47

29

I47_I46

30

I47_I45

31

I47_I44

32

I47_I43

33

I47_I42

34

I47_I41

35

I47_I40

36

I47_I39

37

I47_I38

38

I47_I37

39

I47_I36

40

I47_I35

41

I47_I34

42

I47_I33

43

I47_I32

44

I47_I31

45

I47_I30

46

I47_I29

47

I47_I28

48

I47_I27

49

I47_I26

50

I47_I25

51

I46_Q48

52

I46_Q47

53

I46_Q46

54

I46_I45

55

I46_I44

56

I46_I43

57

I46_I42

58

I46_I41

59

I46_I40

60

I46_I39

61

I46_I38

62

I46_I37

63

I46_I36

64

I46_I35

65

I46_I34

66

I46_I33

67

I46_I32

68

I46_I31

69

I46_I30

70

I46_I29

71

I46_I28

72

I46_I27

73

I46_I26

74

I46_I25

75

I45_Q48

76

I45_Q47

77

I45_Q46

78

I45_Q45

79

I45_I44

80

I45_I43

81

I45_I42

82

I45_I41

83

I45_I40

84

I45_I39

85

I45_I38

86

I45_I37

87

I45_I36

88

I45_I35

89

I45_I34

90

I45_I33

91

I45_I32

92

I45_I31

93

I45_I30

94

I45_I29

95

I45_I28

96

I45_I27

97

I45_I26

98

I45_I25

99

I44_Q48

100

I44_Q47

101

I44_Q46

102

I44_Q45

103

I44_Q44

104

I44_I43

105

I44_I42

106

I44_I41

107

I44_I40

108

I44_I39

109

I44_I38

110

I44_I37

111

I44_I36

112

I44_I35

113

I44_I34

114

I44_I33

115

I44_I32

116

I44_I31

117

I44_I30

118

I44_I29

119

I44_I28

120

I44_I27

121

I44_I26

122

I44_I25

123

I43_Q48

124

I43_Q47

125

I43_Q46

126

I43_Q45

127

I43_Q44

128

I43_Q43

129

I43_I42

130

I43_I41

131

I43_I40

132

I43_I39

133

I43_I38

134

I43_I37

135

I43_I36

136

I43_I35

137

I43_I34

138

I43_I33

139

I43_I32

140

I43_I31

141

I43_I30

142

I43_I29

143

I43_I28

144

I43_I27

145

I43_I26

146

I43_I25

147

I42_Q48

148

I42_Q47

149

I42_Q46

150

I42_Q45

151

I42_Q44

152

I42_Q43

153

I42_Q42

154

I42_I41

155

I42_I40

156

I42_I39

157

I42_I38

158

I42_I37

159

I42_I36

160

I42_I35

161

I42_I34

162

I42_I33

163

I42_I32

164

I42_I31

165

I42_I30

166

I42_I29

167

I42_I28

168

I42_I27

169

I42_I26

170

I42_I25

171

I41_Q48

172

I41_Q47

173

I41_Q46

174

I41_Q45

175

I41_Q44

176

I41_Q43

177

I41_Q42

178

I41_Q41

179

I41_I40

180

I41_I39

181

I41_I38

182

I41_I37

183

I41_I36

184

I41_I35

185

I41_I34

186

I41_I33

187

I41_I32

188

I41_I31

189

I41_I30

190

I41_I29

191

I41_I28

192

I41_I27

193

I41_I26

194

I41_I25

195

I40_Q48

196

I40_Q47

197

I40_Q46

198

I40_Q45

199

I40_Q44

200

I40_Q43

201

I40_Q42

202

I40_Q41

203

I40_Q40

204

I40_I39

205

I40_I38

206

I40_I37

207

I40_I36

208

I40_I35

209

I40_I34

210

I40_I33

211

I40_I32

212

I40_I31

213

I40_I30

214

I40_I29

215

I40_I28

216

I40_I27

217

I40_I26

218

I40_I25

219

I39_Q48

220

I39_Q47

221

I39_Q46


 


Array Index

Correlation

Correlator_Counts_17

1

I39_Q45

2

I39_Q44

3

I39_Q43

4

I39_Q42

5

I39_Q41

6

I39_Q40

7

I39_Q39

8

I39_I38

9

I39_I37

10

I39_I36

11

I39_I35

12

I39_I34

13

I39_I33

14

I39_I32

15

I39_I31

16

I39_I30

17

I39_I29

18

I39_I28

19

I39_I27

20

I39_I26

21

I39_I25

22

I38_Q48

23

I38_Q47

24

I38_Q46

25

I38_Q45

26

I38_Q44

27

I38_Q43

28

I38_Q42

29

I38_Q41

30

I38_Q40

31

I38_Q39

32

I38_Q38

33

I38_I37

34

I38_I36

35

I38_I35

36

I38_I34

37

I38_I33

38

I38_I32

39

I38_I31

40

I38_I30

41

I38_I29

42

I38_I28

43

I38_I27

44

I38_I26

45

I38_I25

46

I37_Q48

47

I37_Q47

48

I37_Q46

49

I37_Q45

50

I37_Q44

51

I37_Q43

52

I37_Q42

53

I37_Q41

54

I37_Q40

55

I37_Q39

56

I37_Q38

57

I37_Q37

58

I37_I36

59

I37_I35

60

I37_I34

61

I37_I33

62

I37_I32

63

I37_I31

64

I37_I30

65

I37_I29

66

I37_I28

67

I37_I27

68

I37_I26

69

I37_I25

70

I36_Q48

71

I36_Q47

72

I36_Q46

73

I36_Q45

74

I36_Q44

75

I36_Q43

76

I36_Q42

77

I36_Q41

78

I36_Q40

79

I36_Q39

80

I36_Q38

81

I36_Q37

82

I36_Q36

83

I36_I35

84

I36_I34

85

I36_I33

86

I36_I32

87

I36_I31

88

I36_I30

89

I36_I29

90

I36_I28

91

I36_I27

92

I36_I26

93

I36_I25

94

I35_Q48

95

I35_Q47

96

I35_Q46

97

I35_Q45

98

I35_Q44

99

I35_Q43

100

I35_Q42

101

I35_Q41

102

I35_Q40

103

I35_Q39

104

I35_Q38

105

I35_Q37

106

I35_Q36

107

I35_Q35

108

I35_I34

109

I35_I33

110

I35_I32

111

I35_I31

112

I35_I30

113

I35_I29

114

I35_I28

115

I35_I27

116

I35_I26

117

I35_I25

118

I34_Q48

119

I34_Q47

120

I34_Q46

121

I34_Q45

122

I34_Q44

123

I34_Q43

124

I34_Q42

125

I34_Q41

126

I34_Q40

127

I34_Q39

128

I34_Q38

129

I34_Q37

130

I34_Q36

131

I34_Q35

132

I34_Q34

133

I34_I33

134

I34_I32

135

I34_I31

136

I34_I30

137

I34_I29

138

I34_I28

139

I34_I27

140

I34_I26

141

I34_I25

142

I33_Q48

143

I33_Q47

144

I33_Q46

145

I33_Q45

146

I33_Q44

147

I33_Q43

148

I33_Q42

149

I33_Q41

150

I33_Q40

151

I33_Q39

152

I33_Q38

153

I33_Q37

154

I33_Q36

155

I33_Q35

156

I33_Q34

157

I33_Q33

158

I33_I32

159

I33_I31

160

I33_I30

161

I33_I29

162

I33_I28

163

I33_I27

164

I33_I26

165

I33_I25

166

I32_Q48

167

I32_Q47

168

I32_Q46

169

I32_Q45

170

I32_Q44

171

I32_Q43

172

I32_Q42

173

I32_Q41

174

I32_Q40

175

I32_Q39

176

I32_Q38

177

I32_Q37

178

I32_Q36

179

I32_Q35

180

I32_Q34

181

I32_Q33

182

I32_Q32

183

I32_I31

184

I32_I30

185

I32_I29

186

I32_I28

187

I32_I27

188

I32_I26

189

I32_I25

190

I31_Q48

191

I31_Q47

192

I31_Q46

193

I31_Q45

194

I31_Q44

195

I31_Q43

196

I31_Q42

197

I31_Q41

198

I31_Q40

199

I31_Q39

200

I31_Q38

201

I31_Q37

202

I31_Q36

203

I31_Q35

204

I31_Q34

205

I31_Q33

206

I31_Q32

207

I31_Q31

208

I31_I30

209

I31_I29

210

I31_I28

211

I31_I27

212

I31_I26

213

I31_I25

214

I30_Q48

215

I30_Q47

216

I30_Q46

217

I30_Q45

218

I30_Q44

219

I30_Q43

220

I30_Q42

221

I30_Q41

222

I30_Q40

223

I30_Q39

224

I30_Q38

225

I30_Q37

226

I30_Q36

227

I30_Q35

228

I30_Q34

229

I30_Q33

230

I30_Q32

231

I30_Q31


 


Array Index

Correlation

Correlator_Counts_18

1

I30_Q30

2

I30_I29

3

I30_I28

4

I30_I27

5

I30_I26

6

I30_I25

7

I29_Q48

8

I29_Q47

9

I29_Q46

10

I29_Q45

11

I29_Q44

12

I29_Q43

13

I29_Q42

14

I29_Q41

15

I29_Q40

16

I29_Q39

17

I29_Q38

18

I29_Q37

19

I29_Q36

20

I29_Q35

21

I29_Q34

22

I29_Q33

23

I29_Q32

24

I29_Q31

25

I29_Q30

26

I29_Q29

27

I29_I28

28

I29_I27

29

I29_I26

30

I29_I25

31

I28_Q48

32

I28_Q47

33

I28_Q46

34

I28_Q45

35

I28_Q44

36

I28_Q43

37

I28_Q42

38

I28_Q41

39

I28_Q40

40

I28_Q39

41

I28_Q38

42

I28_Q37

43

I28_Q36

44

I28_Q35

45

I28_Q34

46

I28_Q33

47

I28_Q32

48

I28_Q31

49

I28_Q30

50

I28_Q29

51

I28_Q28

52

I28_I27

53

I28_I26

54

I28_I25

55

I27_Q48

56

I27_Q47

57

I27_Q46

58

I27_Q45

59

I27_Q44

60

I27_Q43

61

I27_Q42

62

I27_Q41

63

I27_Q40

64

I27_Q39

65

I27_Q38

66

I27_Q37

67

I27_Q36

68

I27_Q35

69

I27_Q34

70

I27_Q33

71

I27_Q32

72

I27_Q31

73

I27_Q30

74

I27_Q29

75

I27_Q28

76

I27_Q27

77

I27_I26

78

I27_I25

79

I26_Q48

80

I26_Q47

81

I26_Q46

82

I26_Q45

83

I26_Q44

84

I26_Q43

85

I26_Q42

86

I26_Q41

87

I26_Q40

88

I26_Q39

89

I26_Q38

90

I26_Q37

91

I26_Q36

92

I26_Q35

93

I26_Q34

94

I26_Q33

95

I26_Q32

96

I26_Q31

97

I26_Q30

98

I26_Q29

99

I26_Q28

100

I26_Q27

101

I26_Q26

102

I26_I25

103

I25_Q48

104

I25_Q47

105

I25_Q46

106

I25_Q45

107

I25_Q44

108

I25_Q43

109

I25_Q42

110

I25_Q41

111

I25_Q40

112

I25_Q39

113

I25_Q38

114

I25_Q37

115

I25_Q36

116

I25_Q35

117

I25_Q34

118

I25_Q33

119

I25_Q32

120

I25_Q31

121

I25_Q30

122

I25_Q29

123

I25_Q28

124

I25_Q27

125

I25_Q26

126

I25_Q25

127

0_1-4

128

0_0-4


 


Array Index

Correlation

Correlator_Counts_19

1

1_1-5

2

1_0-5

3

I48_Q72

4

I48_Q71

5

I48_Q70

6

I48_Q69

7

I48_Q68

8

I48_Q67

9

I48_Q66

10

I48_Q65

11

I48_Q64

12

I48_Q63

13

I48_Q62

14

I48_Q61

15

I48_Q60

16

I48_Q59

17

I48_Q58

18

I48_Q57

19

I48_Q56

20

I48_Q55

21

I48_Q54

22

I48_Q53

23

I48_Q52

24

I48_Q51

25

I48_Q50

26

I48_Q49

27

I47_Q72

28

I47_Q71

29

I47_Q70

30

I47_Q69

31

I47_Q68

32

I47_Q67

33

I47_Q66

34

I47_Q65

35

I47_Q64

36

I47_Q63

37

I47_Q62

38

I47_Q61

39

I47_Q60

40

I47_Q59

41

I47_Q58

42

I47_Q57

43

I47_Q56

44

I47_Q55

45

I47_Q54

46

I47_Q53

47

I47_Q52

48

I47_Q51

49

I47_Q50

50

I47_Q49

51

I46_Q72

52

I46_Q71

53

I46_Q70

54

I46_Q69

55

I46_Q68

56

I46_Q67

57

I46_Q66

58

I46_Q65

59

I46_Q64

60

I46_Q63

61

I46_Q62

62

I46_Q61

63

I46_Q60

64

I46_Q59

65

I46_Q58

66

I46_Q57

67

I46_Q56

68

I46_Q55

69

I46_Q54

70

I46_Q53

71

I46_Q52

72

I46_Q51

73

I46_Q50

74

I46_Q49

75

I45_Q72

76

I45_Q71

77

I45_Q70

78

I45_Q69

79

I45_Q68

80

I45_Q67

81

I45_Q66

82

I45_Q65

83

I45_Q64

84

I45_Q63

85

I45_Q62

86

I45_Q61

87

I45_Q60

88

I45_Q59

89

I45_Q58

90

I45_Q57

91

I45_Q56

92

I45_Q55

93

I45_Q54

94

I45_Q53

95

I45_Q52

96

I45_Q51

97

I45_Q50

98

I45_Q49

99

I44_Q72

100

I44_Q71


 


Array Index

Correlation

Correlator_Counts_20

1

I44_Q70

2

I44_Q69

3

I44_Q68

4

I44_Q67

5

I44_Q66

6

I44_Q65

7

I44_Q64

8

I44_Q63

9

I44_Q62

10

I44_Q61

11

I44_Q60

12

I44_Q59

13

I44_Q58

14

I44_Q57

15

I44_Q56

16

I44_Q55

17

I44_Q54

18

I44_Q53

19

I44_Q52

20

I44_Q51

21

I44_Q50

22

I44_Q49

23

I43_Q72

24

I43_Q71

25

I43_Q70

26

I43_Q69

27

I43_Q68

28

I43_Q67

29

I43_Q66

30

I43_Q65

31

I43_Q64

32

I43_Q63

33

I43_Q62

34

I43_Q61

35

I43_Q60

36

I43_Q59

37

I43_Q58

38

I43_Q57

39

I43_Q56

40

I43_Q55

41

I43_Q54

42

I43_Q53

43

I43_Q52

44

I43_Q51

45

I43_Q50

46

I43_Q49

47

I42_Q72

48

I42_Q71

49

I42_Q70

50

I42_Q69

51

I42_Q68

52

I42_Q67

53

I42_Q66

54

I42_Q65

55

I42_Q64

56

I42_Q63

57

I42_Q62

58

I42_Q61

59

I42_Q60

60

I42_Q59

61

I42_Q58

62

I42_Q57

63

I42_Q56

64

I42_Q55

65

I42_Q54

66

I42_Q53

67

I42_Q52

68

I42_Q51

69

I42_Q50

70

I42_Q49

71

I41_Q72

72

I41_Q71

73

I41_Q70

74

I41_Q69

75

I41_Q68

76

I41_Q67

77

I41_Q66

78

I41_Q65

79

I41_Q64

80

I41_Q63

81

I41_Q62

82

I41_Q61

83

I41_Q60

84

I41_Q59

85

I41_Q58

86

I41_Q57

87

I41_Q56

88

I41_Q55

89

I41_Q54

90

I41_Q53

91

I41_Q52

92

I41_Q51

93

I41_Q50

94

I41_Q49

95

I40_Q72

96

I40_Q71

97

I40_Q70

98

I40_Q69

99

I40_Q68

100

I40_Q67

101

I40_Q66

102

I40_Q65

103

I40_Q64

104

I40_Q63

105

I40_Q62

106

I40_Q61

107

I40_Q60

108

I40_Q59

109

I40_Q58

110

I40_Q57

111

I40_Q56

112

I40_Q55

113

I40_Q54

114

I40_Q53

115

I40_Q52

116

I40_Q51

117

I40_Q50

118

I40_Q49

119

I39_Q72

120

I39_Q71

121

I39_Q70

122

I39_Q69

123

I39_Q68

124

I39_Q67

125

I39_Q66

126

I39_Q65

127

I39_Q64

128

I39_Q63

129

I39_Q62

130

I39_Q61

131

I39_Q60

132

I39_Q59

133

I39_Q58

134

I39_Q57

135

I39_Q56

136

I39_Q55

137

I39_Q54

138

I39_Q53

139

I39_Q52

140

I39_Q51

141

I39_Q50

142

I39_Q49

143

I38_Q72

144

I38_Q71

145

I38_Q70

146

I38_Q69

147

I38_Q68

148

I38_Q67

149

I38_Q66

150

I38_Q65

151

I38_Q64

152

I38_Q63

153

I38_Q62

154

I38_Q61

155

I38_Q60

156

I38_Q59

157

I38_Q58

158

I38_Q57

159

I38_Q56

160

I38_Q55

161

I38_Q54

162

I38_Q53

163

I38_Q52

164

I38_Q51

165

I38_Q50

166

I38_Q49

167

I37_Q72

168

I37_Q71

169

I37_Q70

170

I37_Q69

171

I37_Q68

172

I37_Q67

173

I37_Q66

174

I37_Q65

175

I37_Q64

176

I37_Q63

177

I37_Q62

178

I37_Q61

179

I37_Q60

180

I37_Q59

181

I37_Q58

182

I37_Q57

183

I37_Q56

184

I37_Q55

185

I37_Q54

186

I37_Q53

187

I37_Q52

188

I37_Q51

189

I37_Q50

190

I37_Q49

191

I36_Q72

192

I36_Q71

193

I36_Q70

194

I36_Q69

195

I36_Q68

196

I36_Q67

197

I36_Q66

198

I36_Q65

199

I36_Q64

200

I36_Q63

201

I36_Q62

202

I36_Q61

203

I36_Q60

204

I36_Q59

205

I36_Q58

206

I36_Q57

207

I36_Q56

208

I36_Q55

209

I36_Q54

210

I36_Q53

211

I36_Q52

212

I36_Q51

213

I36_Q50

214

I36_Q49

215

I35_Q72

216

I35_Q71

217

I35_Q70

218

I35_Q69

219

I35_Q68

220

I35_Q67

221

I35_Q66

222

I35_Q65

223

I35_Q64

224

I35_Q63

225

I35_Q62

226

I35_Q61

227

I35_Q60

228

I35_Q59

229

I35_Q58

230

I35_Q57

231

I35_Q56


 


Array Index

Correlation

Correlator_Counts_21

1

I35_Q55

2

I35_Q54

3

I35_Q53

4

I35_Q52

5

I35_Q51

6

I35_Q50

7

I35_Q49

8

I34_Q72

9

I34_Q71

10

I34_Q70

11

I34_Q69

12

I34_Q68

13

I34_Q67

14

I34_Q66

15

I34_Q65

16

I34_Q64

17

I34_Q63

18

I34_Q62

19

I34_Q61

20

I34_Q60

21

I34_Q59

22

I34_Q58

23

I34_Q57

24

I34_Q56

25

I34_Q55

26

I34_Q54

27

I34_Q53

28

I34_Q52

29

I34_Q51

30

I34_Q50

31

I34_Q49

32

I33_Q72

33

I33_Q71

34

I33_Q70

35

I33_Q69

36

I33_Q68

37

I33_Q67

38

I33_Q66

39

I33_Q65

40

I33_Q64

41

I33_Q63

42

I33_Q62

43

I33_Q61

44

I33_Q60

45

I33_Q59

46

I33_Q58

47

I33_Q57

48

I33_Q56

49

I33_Q55

50

I33_Q54

51

I33_Q53

52

I33_Q52

53

I33_Q51

54

I33_Q50

55

I33_Q49

56

I32_Q72

57

I32_Q71

58

I32_Q70

59

I32_Q69

60

I32_Q68

61

I32_Q67

62

I32_Q66

63

I32_Q65

64

I32_Q64

65

I32_Q63

66

I32_Q62

67

I32_Q61

68

I32_Q60

69

I32_Q59

70

I32_Q58

71

I32_Q57

72

I32_Q56

73

I32_Q55

74

I32_Q54

75

I32_Q53

76

I32_Q52

77

I32_Q51

78

I32_Q50

79

I32_Q49

80

I31_Q72

81

I31_Q71

82

I31_Q70

83

I31_Q69

84

I31_Q68

85

I31_Q67

86

I31_Q66

87

I31_Q65

88

I31_Q64

89

I31_Q63

90

I31_Q62

91

I31_Q61

92

I31_Q60

93

I31_Q59

94

I31_Q58

95

I31_Q57

96

I31_Q56

97

I31_Q55

98

I31_Q54

99

I31_Q53

100

I31_Q52

101

I31_Q51

102

I31_Q50

103

I31_Q49

104

I30_Q72

105

I30_Q71

106

I30_Q70

107

I30_Q69

108

I30_Q68

109

I30_Q67

110

I30_Q66

111

I30_Q65

112

I30_Q64

113

I30_Q63

114

I30_Q62

115

I30_Q61

116

I30_Q60

117

I30_Q59

118

I30_Q58

119

I30_Q57

120

I30_Q56

121

I30_Q55

122

I30_Q54

123

I30_Q53

124

I30_Q52

125

I30_Q51

126

I30_Q50

127

I30_Q49

128

I29_Q72

129

I29_Q71

130

I29_Q70

131

I29_Q69

132

I29_Q68

133

I29_Q67

134

I29_Q66

135

I29_Q65

136

I29_Q64

137

I29_Q63

138

I29_Q62

139

I29_Q61

140

I29_Q60

141

I29_Q59

142

I29_Q58

143

I29_Q57

144

I29_Q56

145

I29_Q55

146

I29_Q54

147

I29_Q53

148

I29_Q52

149

I29_Q51

150

I29_Q50

151

I29_Q49

152

I28_Q72

153

I28_Q71

154

I28_Q70

155

I28_Q69

156

I28_Q68

157

I28_Q67

158

I28_Q66

159

I28_Q65

160

I28_Q64

161

I28_Q63

162

I28_Q62

163

I28_Q61

164

I28_Q60

165

I28_Q59

166

I28_Q58

167

I28_Q57

168

I28_Q56

169

I28_Q55

170

I28_Q54

171

I28_Q53

172

I28_Q52

173

I28_Q51

174

I28_Q50

175

I28_Q49

176

I27_Q72

177

I27_Q71

178

I27_Q70

179

I27_Q69

180

I27_Q68

181

I27_Q67

182

I27_Q66

183

I27_Q65

184

I27_Q64

185

I27_Q63

186

I27_Q62

187

I27_Q61

188

I27_Q60

189

I27_Q59

190

I27_Q58

191

I27_Q57

192

I27_Q56

193

I27_Q55

194

I27_Q54

195

I27_Q53

196

I27_Q52

197

I27_Q51

198

I27_Q50

199

I27_Q49

200

I26_Q72

201

I26_Q71

202

I26_Q70

203

I26_Q69

204

I26_Q68

205

I26_Q67

206

I26_Q66

207

I26_Q65

208

I26_Q64

209

I26_Q63

210

I26_Q62

211

I26_Q61

212

I26_Q60

213

I26_Q59

214

I26_Q58

215

I26_Q57

216

I26_Q56

217

I26_Q55

218

I26_Q54

219

I26_Q53

220

I26_Q52

221

I26_Q51

222

I26_Q50

223

I26_Q49

224

I25_Q72

225

I25_Q71

226

I25_Q70

227

I25_Q69

228

I25_Q68

229

I25_Q67

230

I25_Q66

231

I25_Q65


 

Array Index

Correlation

Correlator_Counts_22

1

I25_Q64

2

I25_Q63

3

I25_Q62

4

I25_Q61

5

I25_Q60

6

I25_Q59

7

I25_Q58

8

I25_Q57

9

I25_Q56

10

I25_Q55

11

I25_Q54

12

I25_Q53

13

I25_Q52

14

I25_Q51

15

I25_Q50

16

I25_Q49

17

0_1-5

18

0_0-5

 


Array Index

Correlation

Correlator_Counts_23

1

1_1-6

2

1_0-6

3

I72_1

4

I72_I24

5

I72_I23

6

I72_I22

7

I72_I21

8

I72_I20

9

I72_I19

10

I72_I18

11

I72_I17

12

I72_I16

13

I72_I15

14

I72_I14

15

I72_I13

16

I72_I12

17

I72_I11

18

I72_I10

19

I72_I9

20

I72_I8

21

I72_I7

22

I72_I6

23

I72_I5

24

I72_I4

25

I72_I3

26

I72_I2

27

I72_I1

28

I72_0

29

I71_1

30

I71_I24

31

I71_I23

32

I71_I22

33

I71_I21

34

I71_I20

35

I71_I19

36

I71_I18

37

I71_I17

38

I71_I16

39

I71_I15

40

I71_I14

41

I71_I13

42

I71_I12

43

I71_I11

44

I71_I10

45

I71_I9

46

I71_I8

47

I71_I7

48

I71_I6

49

I71_I5

50

I71_I4

51

I71_I3

52

I71_I2

53

I71_I1

54

I71_0

55

I70_1

56

I70_I24

57

I70_I23

58

I70_I22

59

I70_I21

60

I70_I20

61

I70_I19

62

I70_I18

63

I70_I17

64

I70_I16

65

I70_I15

66

I70_I14

67

I70_I13

68

I70_I12

69

I70_I11

70

I70_I10

71

I70_I9

72

I70_I8

73

I70_I7

74

I70_I6

75

I70_I5

76

I70_I4

77

I70_I3

78

I70_I2

79

I70_I1

80

I70_0

81

I69_1

82

I69_I24

83

I69_I23

84

I69_I22

85

I69_I21

86

I69_I20

87

I69_I19

88

I69_I18

89

I69_I17

90

I69_I16

91

I69_I15

92

I69_I14

93

I69_I13

94

I69_I12

95

I69_I11

96

I69_I10

97

I69_I9

98

I69_I8

99

I69_I7

100

I69_I6

101

I69_I5

102

I69_I4

103

I69_I3

104

I69_I2

105

I69_I1

106

I69_0

107

I68_1

108

I68_I24

109

I68_I23

110

I68_I22

111

I68_I21

112

I68_I20

113

I68_I19

114

I68_I18

115

I68_I17

116

I68_I16

117

I68_I15

118

I68_I14

119

I68_I13

120

I68_I12

121

I68_I11

122

I68_I10

123

I68_I9

124

I68_I8

125

I68_I7

126

I68_I6

127

I68_I5

128

I68_I4

129

I68_I3

130

I68_I2

131

I68_I1

132

I68_0

133

I67_1

134

I67_I24

135

I67_I23

136

I67_I22

137

I67_I21

138

I67_I20

139

I67_I19

140

I67_I18

141

I67_I17

142

I67_I16

143

I67_I15

144

I67_I14

145

I67_I13

146

I67_I12

147

I67_I11

148

I67_I10

149

I67_I9

150

I67_I8

151

I67_I7

152

I67_I6

153

I67_I5

154

I67_I4

155

I67_I3

156

I67_I2

157

I67_I1

158

I67_0

159

I66_1

160

I66_I24

161

I66_I23

162

I66_I22

163

I66_I21

164

I66_I20

165

I66_I19

166

I66_I18

167

I66_I17

168

I66_I16

169

I66_I15

170

I66_I14

171

I66_I13

172

I66_I12

173

I66_I11

174

I66_I10

175

I66_I9

176

I66_I8

177

I66_I7

178

I66_I6

179

I66_I5

180

I66_I4

181

I66_I3

182

I66_I2

183

I66_I1

184

I66_0

185

I65_1

186

I65_I24

187

I65_I23

188

I65_I22

189

I65_I21

190

I65_I20

191

I65_I19

192

I65_I18

193

I65_I17

194

I65_I16

195

I65_I15

196

I65_I14

197

I65_I13

198

I65_I12

199

I65_I11

200

I65_I10

201

I65_I9

202

I65_I8

203

I65_I7

204

I65_I6

205

I65_I5

206

I65_I4

207

I65_I3

208

I65_I2

209

I65_I1

210

I65_0


 


Array Index

Correlation

Correlator_Counts_24

1

I64_1

2

I64_I24

3

I64_I23

4

I64_I22

5

I64_I21

6

I64_I20

7

I64_I19

8

I64_I18

9

I64_I17

10

I64_I16

11

I64_I15

12

I64_I14

13

I64_I13

14

I64_I12

15

I64_I11

16

I64_I10

17

I64_I9

18

I64_I8

19

I64_I7

20

I64_I6

21

I64_I5

22

I64_I4

23

I64_I3

24

I64_I2

25

I64_I1

26

I64_0

27

I63_1

28

I63_I24

29

I63_I23

30

I63_I22

31

I63_I21

32

I63_I20

33

I63_I19

34

I63_I18

35

I63_I17

36

I63_I16

37

I63_I15

38

I63_I14

39

I63_I13

40

I63_I12

41

I63_I11

42

I63_I10

43

I63_I9

44

I63_I8

45

I63_I7

46

I63_I6

47

I63_I5

48

I63_I4

49

I63_I3

50

I63_I2

51

I63_I1

52

I63_0

53

I62_1

54

I62_I24

55

I62_I23

56

I62_I22

57

I62_I21

58

I62_I20

59

I62_I19

60

I62_I18

61

I62_I17

62

I62_I16

63

I62_I15

64

I62_I14

65

I62_I13

66

I62_I12

67

I62_I11

68

I62_I10

69

I62_I9

70

I62_I8

71

I62_I7

72

I62_I6

73

I62_I5

74

I62_I4

75

I62_I3

76

I62_I2

77

I62_I1

78

I62_0

79

I61_1

80

I61_I24

81

I61_I23

82

I61_I22

83

I61_I21

84

I61_I20

85

I61_I19

86

I61_I18

87

I61_I17

88

I61_I16

89

I61_I15

90

I61_I14

91

I61_I13

92

I61_I12

93

I61_I11

94

I61_I10

95

I61_I9

96

I61_I8

97

I61_I7

98

I61_I6

99

I61_I5

100

I61_I4

101

I61_I3

102

I61_I2

103

I61_I1

104

I61_0

105

I60_1

106

I60_I24

107

I60_I23

108

I60_I22

109

I60_I21

110

I60_I20

111

I60_I19

112

I60_I18

113

I60_I17

114

I60_I16

115

I60_I15

116

I60_I14

117

I60_I13

118

I60_I12

119

I60_I11

120

I60_I10

121

I60_I9

122

I60_I8

123

I60_I7

124

I60_I6

125

I60_I5

126

I60_I4

127

I60_I3

128

I60_I2

129

I60_I1

130

I60_0

131

I59_1

132

I59_I24

133

I59_I23

134

I59_I22

135

I59_I21

136

I59_I20

137

I59_I19

138

I59_I18

139

I59_I17

140

I59_I16

141

I59_I15

142

I59_I14

143

I59_I13

144

I59_I12

145

I59_I11

146

I59_I10

147

I59_I9

148

I59_I8

149

I59_I7

150

I59_I6

151

I59_I5

152

I59_I4

153

I59_I3

154

I59_I2

155

I59_I1

156

I59_0

157

I58_1

158

I58_I24

159

I58_I23

160

I58_I22

161

I58_I21

162

I58_I20

163

I58_I19

164

I58_I18

165

I58_I17

166

I58_I16

167

I58_I15

168

I58_I14

169

I58_I13

170

I58_I12

171

I58_I11

172

I58_I10

173

I58_I9

174

I58_I8

175

I58_I7

176

I58_I6

177

I58_I5

178

I58_I4

179

I58_I3

180

I58_I2

181

I58_I1

182

I58_0

183

I57_1

184

I57_I24

185

I57_I23

186

I57_I22

187

I57_I21

188

I57_I20

189

I57_I19

190

I57_I18

191

I57_I17

192

I57_I16

193

I57_I15

194

I57_I14

195

I57_I13

196

I57_I12

197

I57_I11

198

I57_I10

199

I57_I9

200

I57_I8

201

I57_I7

202

I57_I6

203

I57_I5

204

I57_I4

205

I57_I3

206

I57_I2

207

I57_I1

208

I57_0

209

I56_1

210

I56_I24

211

I56_I23

212

I56_I22

213

I56_I21

214

I56_I20

215

I56_I19

216

I56_I18

217

I56_I17

218

I56_I16

219

I56_I15

220

I56_I14

221

I56_I13

222

I56_I12

223

I56_I11

224

I56_I10

225

I56_I9

226

I56_I8

227

I56_I7

228

I56_I6

229

I56_I5

230

I56_I4

231

I56_I3


 


Array Index

Correlation

Correlator_Counts_25

1

I56_I2

2

I56_I1

3

I56_0

4

I55_1

5

I55_I24

6

I55_I23

7

I55_I22

8

I55_I21

9

I55_I20

10

I55_I19

11

I55_I18

12

I55_I17

13

I55_I16

14

I55_I15

15

I55_I14

16

I55_I13

17

I55_I12

18

I55_I11

19

I55_I10

20

I55_I9

21

I55_I8

22

I55_I7

23

I55_I6

24

I55_I5

25

I55_I4

26

I55_I3

27

I55_I2

28

I55_I1

29

I55_0

30

I54_1

31

I54_I24

32

I54_I23

33

I54_I22

34

I54_I21

35

I54_I20

36

I54_I19

37

I54_I18

38

I54_I17

39

I54_I16

40

I54_I15

41

I54_I14

42

I54_I13

43

I54_I12

44

I54_I11

45

I54_I10

46

I54_I9

47

I54_I8

48

I54_I7

49

I54_I6

50

I54_I5

51

I54_I4

52

I54_I3

53

I54_I2

54

I54_I1

55

I54_0

56

I53_1

57

I53_I24

58

I53_I23

59

I53_I22

60

I53_I21

61

I53_I20

62

I53_I19

63

I53_I18

64

I53_I17

65

I53_I16

66

I53_I15

67

I53_I14

68

I53_I13

69

I53_I12

70

I53_I11

71

I53_I10

72

I53_I9

73

I53_I8

74

I53_I7

75

I53_I6

76

I53_I5

77

I53_I4

78

I53_I3

79

I53_I2

80

I53_I1

81

I53_0

82

I52_1

83

I52_I24

84

I52_I23

85

I52_I22

86

I52_I21

87

I52_I20

88

I52_I19

89

I52_I18

90

I52_I17

91

I52_I16

92

I52_I15

93

I52_I14

94

I52_I13

95

I52_I12

96

I52_I11

97

I52_I10

98

I52_I9

99

I52_I8

100

I52_I7

101

I52_I6

102

I52_I5

103

I52_I4

104

I52_I3

105

I52_I2

106

I52_I1

107

I52_0

108

I51_1

109

I51_I24

110

I51_I23

111

I51_I22

112

I51_I21

113

I51_I20

114

I51_I19

115

I51_I18

116

I51_I17

117

I51_I16

118

I51_I15

119

I51_I14

120

I51_I13

121

I51_I12

122

I51_I11

123

I51_I10

124

I51_I9

125

I51_I8

126

I51_I7

127

I51_I6

128

I51_I5

129

I51_I4

130

I51_I3

131

I51_I2

132

I51_I1

133

I51_0

134

I50_1

135

I50_I24

136

I50_I23

137

I50_I22

138

I50_I21

139

I50_I20

140

I50_I19

141

I50_I18

142

I50_I17

143

I50_I16

144

I50_I15

145

I50_I14

146

I50_I13

147

I50_I12

148

I50_I11

149

I50_I10

150

I50_I9

151

I50_I8

152

I50_I7

153

I50_I6

154

I50_I5

155

I50_I4

156

I50_I3

157

I50_I2

158

I50_I1

159

I50_0

160

I49_1

161

I49_I24

162

I49_I23

163

I49_I22

164

I49_I21

165

I49_I20

166

I49_I19

167

I49_I18

168

I49_I17

169

I49_I16

170

I49_I15

171

I49_I14

172

I49_I13

173

I49_I12

174

I49_I11

175

I49_I10

176

I49_I9

177

I49_I8

178

I49_I7

179

I49_I6

180

I49_I5

181

I49_I4

182

I49_I3

183

I49_I2

184

I49_I1

185

I49_0

186

0_1-6

187

0_0-6


 


Array Index

Correlation

Correlator_Counts_26

1

1_1-7

2

1_0-7

3

I72_I48

4

I72_I47

5

I72_I46

6

I72_I45

7

I72_I44

8

I72_I43

9

I72_I42

10

I72_I41

11

I72_I40

12

I72_I39

13

I72_I38

14

I72_I37

15

I72_I36

16

I72_I35

17

I72_I34

18

I72_I33

19

I72_I32

20

I72_I31

21

I72_I30

22

I72_I29

23

I72_I28

24

I72_I27

25

I72_I26

26

I72_I25

27

I71_I48

28

I71_I47

29

I71_I46

30

I71_I45

31

I71_I44

32

I71_I43

33

I71_I42

34

I71_I41

35

I71_I40

36

I71_I39

37

I71_I38

38

I71_I37

39

I71_I36

40

I71_I35

41

I71_I34


 


Array Index

Correlation

Correlator_Counts_27

1

I71_I33

2

I71_I32

3

I71_I31

4

I71_I30

5

I71_I29

6

I71_I28

7

I71_I27

8

I71_I26

9

I71_I25

10

I70_I48

11

I70_I47

12

I70_I46

13

I70_I45

14

I70_I44

15

I70_I43

16

I70_I42

17

I70_I41

18

I70_I40

19

I70_I39

20

I70_I38

21

I70_I37

22

I70_I36

23

I70_I35

24

I70_I34

25

I70_I33

26

I70_I32

27

I70_I31

28

I70_I30

29

I70_I29

30

I70_I28

31

I70_I27

32

I70_I26

33

I70_I25

34

I69_I48

35

I69_I47

36

I69_I46

37

I69_I45

38

I69_I44

39

I69_I43

40

I69_I42

41

I69_I41

42

I69_I40

43

I69_I39

44

I69_I38

45

I69_I37

46

I69_I36

47

I69_I35

48

I69_I34

49

I69_I33

50

I69_I32

51

I69_I31

52

I69_I30

53

I69_I29

54

I69_I28

55

I69_I27

56

I69_I26

57

I69_I25

58

I68_I48

59

I68_I47

60

I68_I46

61

I68_I45

62

I68_I44

63

I68_I43

64

I68_I42

65

I68_I41

66

I68_I40

67

I68_I39

68

I68_I38

69

I68_I37

70

I68_I36

71

I68_I35

72

I68_I34

73

I68_I33

74

I68_I32

75

I68_I31

76

I68_I30

77

I68_I29

78

I68_I28

79

I68_I27

80

I68_I26

81

I68_I25

82

I67_I48

83

I67_I47

84

I67_I46

85

I67_I45

86

I67_I44

87

I67_I43

88

I67_I42

89

I67_I41

90

I67_I40

91

I67_I39

92

I67_I38

93

I67_I37

94

I67_I36

95

I67_I35

96

I67_I34

97

I67_I33

98

I67_I32

99

I67_I31

100

I67_I30

101

I67_I29

102

I67_I28

103

I67_I27

104

I67_I26

105

I67_I25

106

I66_I48

107

I66_I47

108

I66_I46

109

I66_I45

110

I66_I44

111

I66_I43

112

I66_I42

113

I66_I41

114

I66_I40

115

I66_I39

116

I66_I38

117

I66_I37

118

I66_I36

119

I66_I35

120

I66_I34

121

I66_I33

122

I66_I32

123

I66_I31

124

I66_I30

125

I66_I29

126

I66_I28

127

I66_I27

128

I66_I26

129

I66_I25

130

I65_I48

131

I65_I47

132

I65_I46

133

I65_I45

134

I65_I44

135

I65_I43

136

I65_I42

137

I65_I41

138

I65_I40

139

I65_I39

140

I65_I38

141

I65_I37

142

I65_I36

143

I65_I35

144

I65_I34

145

I65_I33

146

I65_I32

147

I65_I31

148

I65_I30

149

I65_I29

150

I65_I28

151

I65_I27

152

I65_I26

153

I65_I25

154

I64_I48

155

I64_I47

156

I64_I46

157

I64_I45

158

I64_I44

159

I64_I43

160

I64_I42

161

I64_I41

162

I64_I40

163

I64_I39

164

I64_I38

165

I64_I37

166

I64_I36

167

I64_I35

168

I64_I34

169

I64_I33

170

I64_I32

171

I64_I31

172

I64_I30

173

I64_I29

174

I64_I28

175

I64_I27

176

I64_I26

177

I64_I25

178

I63_I48

179

I63_I47

180

I63_I46

181

I63_I45

182

I63_I44

183

I63_I43

184

I63_I42

185

I63_I41

186

I63_I40

187

I63_I39

188

I63_I38

189

I63_I37

190

I63_I36

191

I63_I35

192

I63_I34

193

I63_I33

194

I63_I32

195

I63_I31

196

I63_I30

197

I63_I29

198

I63_I28

199

I63_I27

200

I63_I26

201

I63_I25

202

I62_I48

203

I62_I47

204

I62_I46

205

I62_I45

206

I62_I44

207

I62_I43

208

I62_I42

209

I62_I41

210

I62_I40

211

I62_I39

212

I62_I38

213

I62_I37

214

I62_I36

215

I62_I35

216

I62_I34

217

I62_I33

218

I62_I32

219

I62_I31

220

I62_I30

221

I62_I29

222

I62_I28

223

I62_I27

224

I62_I26

225

I62_I25

226

I61_I48

227

I61_I47

228

I61_I46

229

I61_I45

230

I61_I44

231

I61_I43


 


Array Index

Correlation

Correlator_Counts_28

1

I61_I42

2

I61_I41

3

I61_I40

4

I61_I39

5

I61_I38

6

I61_I37

7

I61_I36

8

I61_I35

9

I61_I34

10

I61_I33

11

I61_I32

12

I61_I31

13

I61_I30

14

I61_I29

15

I61_I28

16

I61_I27

17

I61_I26

18

I61_I25

19

I60_I48

20

I60_I47

21

I60_I46

22

I60_I45

23

I60_I44

24

I60_I43

25

I60_I42

26

I60_I41

27

I60_I40

28

I60_I39

29

I60_I38

30

I60_I37

31

I60_I36

32

I60_I35

33

I60_I34

34

I60_I33

35

I60_I32

36

I60_I31

37

I60_I30

38

I60_I29

39

I60_I28

40

I60_I27

41

I60_I26

42

I60_I25

43

I59_I48

44

I59_I47

45

I59_I46

46

I59_I45

47

I59_I44

48

I59_I43

49

I59_I42

50

I59_I41

51

I59_I40

52

I59_I39

53

I59_I38

54

I59_I37

55

I59_I36

56

I59_I35

57

I59_I34

58

I59_I33

59

I59_I32

60

I59_I31

61

I59_I30

62

I59_I29

63

I59_I28

64

I59_I27

65

I59_I26

66

I59_I25

67

I58_I48

68

I58_I47

69

I58_I46

70

I58_I45

71

I58_I44

72

I58_I43

73

I58_I42

74

I58_I41

75

I58_I40

76

I58_I39

77

I58_I38

78

I58_I37

79

I58_I36

80

I58_I35

81

I58_I34

82

I58_I33

83

I58_I32

84

I58_I31

85

I58_I30

86

I58_I29

87

I58_I28

88

I58_I27

89

I58_I26

90

I58_I25

91

I57_I48

92

I57_I47

93

I57_I46

94

I57_I45

95

I57_I44

96

I57_I43

97

I57_I42

98

I57_I41

99

I57_I40

100

I57_I39

101

I57_I38

102

I57_I37

103

I57_I36

104

I57_I35

105

I57_I34

106

I57_I33

107

I57_I32

108

I57_I31

109

I57_I30

110

I57_I29

111

I57_I28

112

I57_I27

113

I57_I26

114

I57_I25

115

I56_I48

116

I56_I47

117

I56_I46

118

I56_I45

119

I56_I44

120

I56_I43

121

I56_I42

122

I56_I41

123

I56_I40

124

I56_I39

125

I56_I38

126

I56_I37

127

I56_I36

128

I56_I35

129

I56_I34

130

I56_I33

131

I56_I32

132

I56_I31

133

I56_I30

134

I56_I29

135

I56_I28

136

I56_I27

137

I56_I26

138

I56_I25

139

I55_I48

140

I55_I47

141

I55_I46

142

I55_I45

143

I55_I44

144

I55_I43

145

I55_I42

146

I55_I41

147

I55_I40

148

I55_I39

149

I55_I38

150

I55_I37

151

I55_I36

152

I55_I35

153

I55_I34

154

I55_I33

155

I55_I32

156

I55_I31

157

I55_I30

158

I55_I29

159

I55_I28

160

I55_I27

161

I55_I26

162

I55_I25

163

I54_I48

164

I54_I47

165

I54_I46

166

I54_I45

167

I54_I44

168

I54_I43

169

I54_I42

170

I54_I41

171

I54_I40

172

I54_I39

173

I54_I38

174

I54_I37

175

I54_I36

176

I54_I35

177

I54_I34

178

I54_I33

179

I54_I32

180

I54_I31

181

I54_I30

182

I54_I29

183

I54_I28

184

I54_I27

185

I54_I26

186

I54_I25

187

I53_I48

188

I53_I47

189

I53_I46

190

I53_I45

191

I53_I44

192

I53_I43

193

I53_I42

194

I53_I41

195

I53_I40

196

I53_I39

197

I53_I38

198

I53_I37

199

I53_I36

200

I53_I35

201

I53_I34

202

I53_I33

203

I53_I32

204

I53_I31

205

I53_I30

206

I53_I29

207

I53_I28

208

I53_I27

209

I53_I26

210

I53_I25

211

I52_I48

212

I52_I47

213

I52_I46

214

I52_I45

215

I52_I44

216

I52_I43

217

I52_I42

218

I52_I41

219

I52_I40

220

I52_I39

221

I52_I38

222

I52_I37

223

I52_I36

224

I52_I35

225

I52_I34

226

I52_I33

227

I52_I32

228

I52_I31

229

I52_I30

230

I52_I29

231

I52_I28


 

 

 


Array Index

Correlation

Correlator_Counts_29

1

I52_I27

2

I52_I26

3

I52_I25

4

I51_I48

5

I51_I47

6

I51_I46

7

I51_I45

8

I51_I44

9

I51_I43

10

I51_I42

11

I51_I41

12

I51_I40

13

I51_I39

14

I51_I38

15

I51_I37

16

I51_I36

17

I51_I35

18

I51_I34

19

I51_I33

20

I51_I32

21

I51_I31

22

I51_I30

23

I51_I29

24

I51_I28

25

I51_I27

26

I51_I26

27

I51_I25

28

I50_I48

29

I50_I47

30

I50_I46

31

I50_I45

32

I50_I44

33

I50_I43

34

I50_I42

35

I50_I41

36

I50_I40

37

I50_I39

38

I50_I38

39

I50_I37

40

I50_I36

41

I50_I35

42

I50_I34

43

I50_I33

44

I50_I32

45

I50_I31

46

I50_I30

47

I50_I29

48

I50_I28

49

I50_I27

50

I50_I26

51

I50_I25

52

I49_I48

53

I49_I47

54

I49_I46

55

I49_I45

56

I49_I44

57

I49_I43

58

I49_I42

59

I49_I41

60

I49_I40

61

I49_I39

62

I49_I38

63

I49_I37

64

I49_I36

65

I49_I35

66

I49_I34

67

I49_I33

68

I49_I32

69

I49_I31

70

I49_I30

71

I49_I29

72

I49_I28

73

I49_I27

74

I49_I26

75

I49_I25

76

0_1-7

77

0_0-7


 


Array Index

Correlation

Correlator_Counts_30

1

1_1-8

2

1_0-8

3

I72_Q72

4

I72_I71

5

I72_I70

6

I72_I69

7

I72_I68

8

I72_I67

9

I72_I66

10

I72_I65

11

I72_I64

12

I72_I63

13

I72_I62

14

I72_I61

15

I72_I60

16

I72_I59

17

I72_I58

18

I72_I57

19

I72_I56

20

I72_I55

21

I72_I54

22

I72_I53

23

I72_I52

24

I72_I51

25

I72_I50

26

I72_I49

27

I71_Q72

28

I71_Q71

29

I71_I70

30

I71_I69

31

I71_I68

32

I71_I67

33

I71_I66

34

I71_I65

35

I71_I64

36

I71_I63

37

I71_I62

38

I71_I61

39

I71_I60

40

I71_I59

41

I71_I58

42

I71_I57

43

I71_I56

44

I71_I55

45

I71_I54

46

I71_I53

47

I71_I52

48

I71_I51

49

I71_I50

50

I71_I49

51

I70_Q72

52

I70_Q71

53

I70_Q70

54

I70_I69

55

I70_I68

56

I70_I67

57

I70_I66

58

I70_I65

59

I70_I64

60

I70_I63

61

I70_I62

62

I70_I61

63

I70_I60

64

I70_I59

65

I70_I58

66

I70_I57

67

I70_I56

68

I70_I55

69

I70_I54

70

I70_I53

71

I70_I52

72

I70_I51

73

I70_I50

74

I70_I49

75

I69_Q72

76

I69_Q71

77

I69_Q70

78

I69_Q69

79

I69_I68

80

I69_I67

81

I69_I66

82

I69_I65

83

I69_I64

84

I69_I63

85

I69_I62

86

I69_I61

87

I69_I60

88

I69_I59

89

I69_I58

90

I69_I57

91

I69_I56

92

I69_I55

93

I69_I54

94

I69_I53

95

I69_I52

96

I69_I51

97

I69_I50

98

I69_I49

99

I68_Q72

100

I68_Q71

101

I68_Q70

102

I68_Q69

103

I68_Q68

104

I68_I67

105

I68_I66

106

I68_I65

107

I68_I64

108

I68_I63

109

I68_I62

110

I68_I61

111

I68_I60

112

I68_I59

113

I68_I58

114

I68_I57

115

I68_I56

116

I68_I55

117

I68_I54

118

I68_I53

119

I68_I52

120

I68_I51

121

I68_I50

122

I68_I49

123

I67_Q72

124

I67_Q71

125

I67_Q70

126

I67_Q69

127

I67_Q68

128

I67_Q67

129

I67_I66

130

I67_I65

131

I67_I64

132

I67_I63

133

I67_I62

134

I67_I61

135

I67_I60

136

I67_I59

137

I67_I58

138

I67_I57

139

I67_I56

140

I67_I55

141

I67_I54

142

I67_I53

143

I67_I52

144

I67_I51

145

I67_I50

146

I67_I49

147

I66_Q72

148

I66_Q71

149

I66_Q70

150

I66_Q69

151

I66_Q68


 


Array Index

Correlation

Correlator_Counts_31

1

I66_Q67

2

I66_Q66

3

I66_I65

4

I66_I64

5

I66_I63

6

I66_I62

7

I66_I61

8

I66_I60

9

I66_I59

10

I66_I58

11

I66_I57

12

I66_I56

13

I66_I55

14

I66_I54

15

I66_I53

16

I66_I52

17

I66_I51

18

I66_I50

19

I66_I49

20

I65_Q72

21

I65_Q71

22

I65_Q70

23

I65_Q69

24

I65_Q68

25

I65_Q67

26

I65_Q66

27

I65_Q65

28

I65_I64

29

I65_I63

30

I65_I62

31

I65_I61

32

I65_I60

33

I65_I59

34

I65_I58

35

I65_I57

36

I65_I56

37

I65_I55

38

I65_I54

39

I65_I53

40

I65_I52

41

I65_I51

42

I65_I50

43

I65_I49

44

I64_Q72

45

I64_Q71

46

I64_Q70

47

I64_Q69

48

I64_Q68

49

I64_Q67

50

I64_Q66

51

I64_Q65

52

I64_Q64

53

I64_I63

54

I64_I62

55

I64_I61

56

I64_I60

57

I64_I59

58

I64_I58

59

I64_I57

60

I64_I56

61

I64_I55

62

I64_I54

63

I64_I53

64

I64_I52

65

I64_I51

66

I64_I50

67

I64_I49

68

I63_Q72

69

I63_Q71

70

I63_Q70

71

I63_Q69

72

I63_Q68

73

I63_Q67

74

I63_Q66

75

I63_Q65

76

I63_Q64

77

I63_Q63

78

I63_I62

79

I63_I61

80

I63_I60

81

I63_I59

82

I63_I58

83

I63_I57

84

I63_I56

85

I63_I55

86

I63_I54

87

I63_I53

88

I63_I52

89

I63_I51

90

I63_I50

91

I63_I49

92

I62_Q72

93

I62_Q71

94

I62_Q70

95

I62_Q69

96

I62_Q68

97

I62_Q67

98

I62_Q66

99

I62_Q65

100

I62_Q64

101

I62_Q63

102

I62_Q62

103

I62_I61

104

I62_I60

105

I62_I59

106

I62_I58

107

I62_I57

108

I62_I56

109

I62_I55

110

I62_I54

111

I62_I53

112

I62_I52

113

I62_I51

114

I62_I50

115

I62_I49

116

I61_Q72

117

I61_Q71

118

I61_Q70

119

I61_Q69

120

I61_Q68

121

I61_Q67

122

I61_Q66

123

I61_Q65

124

I61_Q64

125

I61_Q63

126

I61_Q62

127

I61_Q61

128

I61_I60

129

I61_I59

130

I61_I58

131

I61_I57

132

I61_I56

133

I61_I55

134

I61_I54

135

I61_I53

136

I61_I52

137

I61_I51

138

I61_I50

139

I61_I49

140

I60_Q72

141

I60_Q71

142

I60_Q70

143

I60_Q69

144

I60_Q68

145

I60_Q67

146

I60_Q66

147

I60_Q65

148

I60_Q64

149

I60_Q63

150

I60_Q62

151

I60_Q61

152

I60_Q60

153

I60_I59

154

I60_I58

155

I60_I57

156

I60_I56

157

I60_I55

158

I60_I54

159

I60_I53

160

I60_I52

161

I60_I51

162

I60_I50

163

I60_I49

164

I59_Q72

165

I59_Q71

166

I59_Q70

167

I59_Q69

168

I59_Q68

169

I59_Q67

170

I59_Q66

171

I59_Q65

172

I59_Q64

173

I59_Q63

174

I59_Q62

175

I59_Q61

176

I59_Q60

177

I59_Q59

178

I59_I58

179

I59_I57

180

I59_I56

181

I59_I55

182

I59_I54

183

I59_I53

184

I59_I52

185

I59_I51

186

I59_I50

187

I59_I49

188

I58_Q72

189

I58_Q71

190

I58_Q70

191

I58_Q69

192

I58_Q68

193

I58_Q67

194

I58_Q66

195

I58_Q65

196

I58_Q64

197

I58_Q63

198

I58_Q62

199

I58_Q61

200

I58_Q60

201

I58_Q59

202

I58_Q58

203

I58_I57

204

I58_I56

205

I58_I55

206

I58_I54

207

I58_I53

208

I58_I52

209

I58_I51

210

I58_I50

211

I58_I49

212

I57_Q72

213

I57_Q71

214

I57_Q70

215

I57_Q69

216

I57_Q68

217

I57_Q67

218

I57_Q66

219

I57_Q65

220

I57_Q64

221

I57_Q63

222

I57_Q62

223

I57_Q61

224

I57_Q60

225

I57_Q59

226

I57_Q58

227

I57_Q57

228

I57_I56

229

I57_I55

230

I57_I54

231

I57_I53


 

 


Array Index

Correlation

Correlator_Counts_32

1

I57_I52

2

I57_I51

3

I57_I50

4

I57_I49

5

I56_Q72

6

I56_Q71

7

I56_Q70

8

I56_Q69

9

I56_Q68

10

I56_Q67

11

I56_Q66

12

I56_Q65

13

I56_Q64

14

I56_Q63

15

I56_Q62

16

I56_Q61

17

I56_Q60

18

I56_Q59

19

I56_Q58

20

I56_Q57

21

I56_Q56

22

I56_I55

23

I56_I54

24

I56_I53

25

I56_I52

26

I56_I51

27

I56_I50

28

I56_I49

29

I55_Q72

30

I55_Q71

31

I55_Q70

32

I55_Q69

33

I55_Q68

34

I55_Q67

35

I55_Q66

36

I55_Q65

37

I55_Q64

38

I55_Q63

39

I55_Q62

40

I55_Q61

41

I55_Q60

42

I55_Q59

43

I55_Q58

44

I55_Q57

45

I55_Q56

46

I55_Q55

47

I55_I54

48

I55_I53

49

I55_I52

50

I55_I51

51

I55_I50

52

I55_I49

53

I54_Q72

54

I54_Q71

55

I54_Q70

56

I54_Q69

57

I54_Q68

58

I54_Q67

59

I54_Q66

60

I54_Q65

61

I54_Q64

62

I54_Q63

63

I54_Q62

64

I54_Q61

65

I54_Q60

66

I54_Q59

67

I54_Q58

68

I54_Q57

69

I54_Q56

70

I54_Q55

71

I54_Q54

72

I54_I53

73

I54_I52

74

I54_I51

75

I54_I50

76

I54_I49

77

I53_Q72

78

I53_Q71

79

I53_Q70

80

I53_Q69

81

I53_Q68

82

I53_Q67

83

I53_Q66

84

I53_Q65

85

I53_Q64

86

I53_Q63

87

I53_Q62

88

I53_Q61

89

I53_Q60

90

I53_Q59

91

I53_Q58

92

I53_Q57

93

I53_Q56

94

I53_Q55

95

I53_Q54

96

I53_Q53

97

I53_I52

98

I53_I51

99

I53_I50

100

I53_I49

101

I52_Q72

102

I52_Q71

103

I52_Q70

104

I52_Q69

105

I52_Q68

106

I52_Q67

107

I52_Q66

108

I52_Q65

109

I52_Q64

110

I52_Q63

111

I52_Q62

112

I52_Q61

113

I52_Q60

114

I52_Q59

115

I52_Q58

116

I52_Q57

117

I52_Q56

118

I52_Q55

119

I52_Q54

120

I52_Q53

121

I52_Q52

122

I52_I51

123

I52_I50

124

I52_I49

125

I51_Q72

126

I51_Q71

127

I51_Q70

128

I51_Q69

129

I51_Q68

130

I51_Q67

131

I51_Q66

132

I51_Q65

133

I51_Q64

134

I51_Q63

135

I51_Q62

136

I51_Q61

137

I51_Q60

138

I51_Q59

139

I51_Q58

140

I51_Q57

141

I51_Q56

142

I51_Q55

143

I51_Q54

144

I51_Q53

145

I51_Q52

146

I51_Q51

147

I51_I50

148

I51_I49

149

I50_Q72

150

I50_Q71

151

I50_Q70

152

I50_Q69

153

I50_Q68

154

I50_Q67

155

I50_Q66

156

I50_Q65

157

I50_Q64

158

I50_Q63

159

I50_Q62

160

I50_Q61

161

I50_Q60

162

I50_Q59

163

I50_Q58

164

I50_Q57

165

I50_Q56

166

I50_Q55

167

I50_Q54

168

I50_Q53

169

I50_Q52

170

I50_Q51

171

I50_Q50

172

I50_I49

173

I49_Q72

174

I49_Q71

175

I49_Q70

176

I49_Q69

177

I49_Q68

178

I49_Q67

179

I49_Q66

180

I49_Q65

181

I49_Q64

182

I49_Q63

183

I49_Q62

184

I49_Q61

185

I49_Q60

186

I49_Q59

187

I49_Q58

188

I49_Q57

189

I49_Q56

190

I49_Q55

191

I49_Q54

192

I49_Q53

193

I49_Q52

194

I49_Q51

195

I49_Q50

196

I49_Q49

197

0_1-8

198

0_0-8


 


 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

End of Document