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

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274 CHAPTER 21. USING SLICE WITHIN CIA A detailed description of the algorithms in SLICE can be found in M. A. Miville-Deschênes’ paper (2000, A&A 146, 519), while the package has it own user’s manual available at in the doc directory of the SLICE delivery. An important note for SLICE V1.2: Although optical distortion has been computed for all <strong><strong>ISO</strong>CAM</strong> configurations and can be corrected in CIA, SLICE V1.2 incorporates an older correction scheme. As a result only the most widely used optical configurations can be corrected for distortion in SLICE. This limitation is known to M. A. Miville-Deschênes and should be uplifted in subsequent releases of SLICE. 21.3 Organization of data in SLICE In CIA, data are either stored in hidden structures (the SCD, SSCD, SAD, SSAD) that you access through pointers, or in standard IDL structures (the so-called PDS) that you manipulate directly. In SLICE this is different: data are stored in IDL variables (i.e. you can manipulate them directly) but these also belong to common blocks that are accessed by SLICE routines. As a result, their names are defined once and for all, and you cannot use them for other purposes. This is why SLICE is not loaded by default when you start CIA. Although you can do it in SLICE, we assume here that dark correction, de-glitching and transient correction are performed in CIA. You will generally start the SLICE processing after these three steps, i.e. where, in a more standard reduction session, you would have made the flat-field correction. To start SLICE, the first step is to initialize its common blocks as well as place its directories in your IDL path. This is simply done with: CIA> @cia slice init This creates variables that will be used to store your data, any variable with the same name is therefore erased. Their names and content are listed in Table 21.1. You need now to transfer your data into these variables. This is done with the CIA routine raster2slice, therefore type: CIA> raster2slice,data The next section will describe the processing that you can do in SLICE. For completeness reasons, let us see here also how to transfer data back from SLICE into a CIA structure. This is also very simple as you just have to type: CIA> new raster = slice2raster() This function requires no argument as all the required data are already in the SLICE commons. You will see that the content of the output raster structure is different from that of the input one. In particular, the raster field that contains the final map is generally larger. This is due to the SLICE convention of only building maps with North up and East left (the astronomical convention). This in general results in larger raster maps. Note however that this new raster structure is fully compatible with CIA. In particular it can be examined with isocont.
21.3. ORGANIZATION OF DATA IN SLICE 275 Table 21.1: The SLICE variables and their content Names c cube flat map0 map mask map before map1 map2 map3 map4 map5 map mjy h mjy redun error map obs param act red param im param raster correction corrfit error Content the data cube, i.e. all readouts of the raster the flat-field cube (one plane per readouts) initial version of the raster map, created at the long-term transient correction stage if im param does not exists, not used otherwise the raster map, as created by the current flat-field correction a mask associated to the raster map, filled by the source action, indicates the location of detected sources in the field the raster map as created by the previous flat-field correction (useful to compare the result of different operations) acopyofmap, created either by the make map action, for the Single Flat flat-field method, or by the bad pixels action acopyofmap, created by the ghost action acopyofmap, created by the make map action for all flat-field methods except Single Flat equivalent to map, but with the bad pixels masked, created by the bad pixels action equivalent to map, but showing only the sources detected at by the source action the calibrated map header corresponding to map mjy the redundancy map (coverage factor for sky pixels) the error map associated to map a structure containing configuration parameters the structure describing the actions to perform a structure holding the parameters of the routines a structure describing the current observation the cube of individual raster pointings (the PDS.image field, and NOT the PDS.raster field), flat-fielded the exact long term transient correction the fitted long term transient correction error associated to the long term transient correction
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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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16 CHAPTER 2. ABOUT CIA % device, 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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32 CHAPTER 4. STARING OBSERVATION (
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34 CHAPTER 4. STARING OBSERVATION (
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36 CHAPTER 5. SOLAR SYSTEM OBJECT O
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42 CHAPTER 6. BEAM-SWITCH OBSERVATI
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48 CHAPTER 7. CVF OBSERVATION (CAM0
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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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78 CHAPTER 12. DATA SLICING 3. At t
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80 CHAPTER 12. DATA SLICING CIA> ns
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82 CHAPTER 12. DATA SLICING equal t
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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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88 CHAPTER 12. DATA SLICING • Sel
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90 CHAPTER 12. DATA SLICING We sugg
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92 CHAPTER 12. DATA SLICING title d
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94 CHAPTER 12. DATA SLICING • Sel
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96 CHAPTER 13. DATA CALIBRATION 13.
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98 CHAPTER 13. DATA CALIBRATION •
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100 CHAPTER 13. DATA CALIBRATION 13
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104 CHAPTER 13. DATA CALIBRATION Fi
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106 CHAPTER 13. DATA CALIBRATION au
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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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15.4. AUXILIARY CALIBRATION DATA 17
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15.5. PREPARED DATA STRUCTURE (PDS)
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Chapter 16 Data structure manipulat
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16.1. CIA DATA STRUCTURE INTERFACE
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16.1. CIA DATA STRUCTURE INTERFACE
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16.2. AN EXAMPLE OF SAD MANIPULATIO
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16.4. MANIPULATING THE MASK 195 and
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16.5. CDS DATA EXTRACTION 197 16.5
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16.6. MANIPULATING CIA DATA STRUCTU
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Chapter 17 Importing ISO data produ
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17.2. IMPORTING FITS TO REGULAR IDL
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Chapter 18 Export of CIA data struc
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18.3. EXPORT FOR ARCHIVING 207 CIA>
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Part IV Advanced Use of CIA 209
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212
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214 CHAPTER 19. ADVANCED SLICING 19
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216 CHAPTER 19. ADVANCED SLICING Fi
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Page 326 and 327: 306 APPENDIX A. GLOSSARY beam-switc
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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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