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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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11.1. CIA PROCESSING OVERVIEW 75<br />

2. Data calibration refers to the process of dark correction, deglitching, stabilisation and<br />

flat-fielding of your <strong><strong>ISO</strong>CAM</strong> images. Though this is a highly complex process, CIA<br />

handles it transparently via a set of high level routines. The basic process of calibration<br />

is:<br />

(a) After slicing your data you make a PDS from the set of SPD SCDs you have created<br />

in the slicing process. This is done with one of the CIA routines, get sscdraster,<br />

get sscdstruct or get sscdcvf, depending on your observation type.<br />

(b) You perform the calibration on the PDS with the core calibration routines (see Section<br />

13.2.1). Note that it is possible (and sometimes desirable) to directly perform<br />

calibration on the SPD SCDs. All the core calibration routines are capable of accepting<br />

an SSCD as input.<br />

Chapter 13 describes in more detail the process of calibration. When your data are calibrated<br />

you are ready to move on to the final step of image display.<br />

3. Image analysis & display refers to the presentation of your calibrated <strong><strong>ISO</strong>CAM</strong> images.<br />

(You can also display the images in the AA calibrated images in the AAR data product<br />

directly - this you may have already done in Chapter 10.)<br />

CIA provides routines to do the following:<br />

• Display images from the AAR data products with sad display. (See Section 10.2.)<br />

• Examine the temporal behaviour of pixels with xcube and x3d. (See Section 14.4.3<br />

and Section 14.4.5 respectively.)<br />

• Overlay your CAM images with optical images (or indeed any counterpart images)<br />

isocont. (See Section 14.6.2.)<br />

• <strong>Interactive</strong>ly choose contours for contour plots with xcontour. (See Section 14.7.1).<br />

• Create postscript plots.

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