ISOCAM Interactive Analysis User's Manual Version 5.0 - ISO - ESA

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236 CHAPTER 20. ADVANCED DATA CALIBRATION 1. method=‘fs’ method: This method uses a fitting technique based on the Fouks-Schubert model. It is best used on an SSCD – see Section 20.3 for an example. There are three different implementations of this algorithm: an IDL version, a Fortran version and a C++ version. To use the IDL or Fortran version set the stabilize keyword /idl or /fortran. Some points to note about these different implementations: • The IDL version does not work well with irregularly gridded data, as can occur in the pixel history if a glitched pixel is recorded by the complex MASK. Consequently it is recommended to only use the simple MASK with the IDL version. See Section 2.3.4 for configuring the MASK. • The Fortran and C++ versions can handle irregularly gridded data. In this case both MASK settings are fine, though the complex MASK is recommended as it correctly indicates that glitched pixels should be ignored. routine called: corr transient fouks PDS side effects: Unstable pixels are flagged in .MASK and .CUBE is modified. reference: Coulais A. and Abergel A., 2000 2. method=‘s90’ method: Pixels which have not achieved 90% of their stable values are masked. This is the default stabilization method. routine called: corr transient s90 PDS side effects: Unstable pixels are flagged in .MASK and .CUBE remains unmodified. reference: ISOCAM Handbook, Chapter Data processing methods, Section Find the first stabilized pixel at each position without using a model. 3. method=‘m90’ method: This method applies a model to find the first stabilized pixel at each STATE. Pixels which have not achieved 90% of their stable values are masked. routine called: corr transient m90 PDS side effects: Unstable pixels are flagged in .MASK and .CUBE remains unmodified. reference: ISOCAM Handbook, Chapter Data processing methods, Section Find the first stabilized pixel at each position using a model. 4. method=‘inv’ method: This method uses a fitting technique called the IAS or INVERSION Model. This method is one of the more successful fitting methods. routine called: corr transient inv PDS side effects: Unstable pixels are flagged in .MASK and .CUBE is modified. reference: ISOCAM Handbook, Chapter Data processing methods, Section Simplified model of the CAM LW response.
20.2. CORE CALIBRATION 237 5. method=‘vision’ method: This method uses a model called the VISION Model. This is a rather severe method and can kill off much of your data. It does produce very nice clean images though – it is good at eliminating ghosts from raster MOSAICs. routine called: corr transient vision PDS side effects: Unstable pixels are flagged in .MASK and .CUBE is modified. reference: ISOCAM Handbook, Chapter Data processing methods, Section Vision model. 6. method=‘med’ method: Global transient removal using a median filter. Best for extracting faint pointlike sources from a raster observation with many pointings. See the online documentation (Section 2.3.2) for detailed restrictions and caveats. routine called: corr transient med PDS side effects: Undefined pixels are flagged in .MASK and .CUBE is modified. reference: online help. 20.2.4 Reducing IMAGEs to EXPOSUREs All the IMAGEs accrued in each CAM STATE (or ISO pointing) can be averaged to an EXPO- SURE. Although different averaging methods exist, in general the routine reduce reduces the IMAGEs as follow: 1. The sets of IMAGEs corresponding to individual STATEs are extracted by reduce from .CUBE. 2. Each set of IMAGEs, along with .MASK, is passed to reduce cube. 3. reduce cube averages the IMAGEs to an EXPOSURE taking .MASK into account – pixels which have been flagged because of instability, glitches, etc. . . are ignored. The EX- POSURE, its RMS image and the weight image are returned. Each pixel of the weight image equals the number of IMAGE pixels which have been averaged to create a corresponding pixel in the EXPOSURE. 4. The EXPOSURE, its RMS image and the weight image are placed into the PDS fields .IMAGE, .RMS and .NPIX respectively. The default averaging method is to take a mean of the IMAGEs. Other available methods are described below. 1. /median method: Takes the median of the IMAGEs to form the EXPOSURE. routine called: la median PDS side effects: The PDS fields .IMAGE, .RMS and .NPIX are filled.
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ISOCAM Interactive Analysis User’
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Michael Rupen (NRAO) Jaqui Sam Lone
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vi CONTENTS 8 Polarization observat
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viii CONTENTS 14.4.6 x3d as a calib
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x CONTENTS 19.3 A beam-switch obser
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xii CONTENTS B CIA command short-li
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xiv CONTENTS
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xvi LIST OF FIGURES 14.13The raster
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xviii LIST OF FIGURES
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xx LIST OF TABLES
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2 CHAPTER 1. ABOUT THE CIA USER’S
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4 CHAPTER 2. ABOUT CIA 2.2 System r
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6 CHAPTER 2. ABOUT CIA Figure 2.2:
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8 CHAPTER 2. ABOUT CIA In addition,
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10 CHAPTER 2. ABOUT CIA 2.3.4 Custo
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12 CHAPTER 2. ABOUT CIA LOG Log fil
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14 CHAPTER 2. ABOUT CIA This will p
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18 CHAPTER 2. ABOUT CIA
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Introduction The Quick Start Guide
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24 CHAPTER 3. RASTER OBSERVATION (C
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50 CHAPTER 7. CVF OBSERVATION (CAM0
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52 CHAPTER 8. POLARIZATION OBSERVAT
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Introduction The purpose of Part II
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62 CHAPTER 9. THE DATA PRODUCTS AND
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68 CHAPTER 10. FIRST LOOK AT THE DA
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74 CHAPTER 11. INTRODUCTION TO CIA
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76 CHAPTER 11. INTRODUCTION TO CIA
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84 CHAPTER 12. DATA SLICING OR CIA>
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86 CHAPTER 12. DATA SLICING 70 16.0
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108 CHAPTER 13. DATA CALIBRATION 2.
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114 CHAPTER 14. IMAGE ANALYSIS AND
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Introduction The purpose of this pa
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Chapter 15 CIA data structure high-
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15.2. OBSERVATION DATA STRUCTURES 1
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15.3. CALIBRATION DATA STRUCTURE (C
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15.4. AUXILIARY CALIBRATION DATA 17
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15.5. PREPARED DATA STRUCTURE (PDS)
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286 CHAPTER 21. USING SLICE WITHIN
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294 CHAPTER 22. SECOND ORDER CORREC
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296 CHAPTER 22. SECOND ORDER CORREC
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298 CHAPTER 23. X CIA REFERENCE GUI
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306 APPENDIX A. GLOSSARY beam-switc
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308 APPENDIX A. GLOSSARY FITS (data
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310 APPENDIX A. GLOSSARY raster dat
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312 APPENDIX A. GLOSSARY
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314 APPENDIX B. CIA COMMAND SHORT-L
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320 APPENDIX C. THE ISO CD-ROM C.2.
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322 APPENDIX C. THE ISO CD-ROM Vari
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324 APPENDIX D. GUIDELINES FOR WRIT
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326 APPENDIX D. GUIDELINES FOR WRIT
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328 APPENDIX E. ISOCAM ASTROMETRY:
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338 APPENDIX F. WHAT IS NEW IN CIA
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344 APPENDIX G. WARNING MESSAGES IN
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346 APPENDIX H. PATCHED ASTROLIB AN
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348 APPENDIX I. UPGRADING OLD CIA S
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350 APPENDIX I. UPGRADING OLD CIA S
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352 APPENDIX J. REPORTING PROBLEMS
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354 APPENDIX K. TECHNICAL REPORTS S
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356 BIBLIOGRAPHY Okumura K., 1998,
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