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

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

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Chapter 20<br />

Advanced data calibration<br />

In this chapter of the CIA User’s <strong>Manual</strong> different calibration methods and algorithms are briefly<br />

reviewed and their implementation in CIA is described. Detailed information on calibration<br />

algorithms can be found in the technical reports listed in Appendix K. Probably the most<br />

helpful report for a novice is the <strong><strong>ISO</strong>CAM</strong> Handbook. This report contains a broad treatment<br />

of calibration algorithms – it, and the technical reports, will be referenced throughout the<br />

chapter where appropriate. Since more up-to-date algorithms and routines are continually being<br />

developed it is also a good idea to refer to the on-line help or cia help (see Section 2.3.2).<br />

20.1 Before reading this chapter. . .<br />

Throughout this chapter references are made to the Prepared Data Structure (PDS) (Section<br />

15.5) and the CIA calibration routines (Chapter 13). Familiarity with both topics is assumed.<br />

You will also frequently encounter references such as .IMAGE, .CUBE, .MASK, etc. . . .<br />

These are general references to fields and substructures in the PDS.<br />

20.2 Core calibration<br />

You have already been introduced to the core calibration routines in Section 13.2.1. Here we<br />

will look a little deeper into the different correction methods that are available for each of the<br />

core calibration routines. The chosen correction method can be specified with the keyword<br />

method. Each method is implemented by a low-level routine which may accept keywords for<br />

tuning algorithm parameters. These keywords may be specified when calling the core calibration<br />

routine and IDL will pass the keywords to the low-level routine (i.e. using IDL’s keyword<br />

inheritance functionality). To find out what tuning can be done for a particular method, look<br />

for the relevant low-level routine in the online help (Section 2.3.2).<br />

20.2.1 Dark correction<br />

In principle, dark correction is a simple procedure – a matter of subtracting the DARK image<br />

from the IMAGE. The hard part is choosing a good DARK. All dark correction methods are<br />

handled by corr dark. Technical details of some of these methods can be found in the references<br />

given below.<br />

In general, corr dark performs the dark correction in the following manner:<br />

1. Obtains the DARK as instructed by the user setting of the keyword method or indark.<br />

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