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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 21<br />

Using SLICE within CIA<br />

This chapter 1 explains how to use the long term transient correction (or LTT) and variable flatfield<br />

correction (or VFF) algorithms implemented in SLICE, which can significantly improve<br />

raster data reduction.<br />

21.1 Preface<br />

For the examples in Section 21.3 and 21.4.1, we assume that you are reducing a raster observation<br />

and that the data are currently stored in a PDS called data. Section 21.5 presents a worked<br />

example in more depth.<br />

Warning: Figures 21.1, 21.2, 21.3 and 21.6 are best viewed in color. If you don’t want to<br />

print the relevant pages of this manual, you can print the last pages of the original document<br />

An Introduction to SLICE inside CIA.<br />

21.2 A brief description<br />

What is SLICE? It stands for Simple and Light IsoCam Environment and was developed by<br />

M. A. Miville-Deschênes (mamd@ias.u-psud.fr) from the original ground-base calibration data<br />

reduction package ICE. Because it is Light, it is not as complete as CIA but is rather restricted<br />

to the raster data reduction. It contains two specific tools that are not present in CIA and that<br />

can allow significant improvements on the observation quality, when dealing with rasters: long<br />

term transient correction (or LTT) and variable flat-field correction. Rather than duplicating<br />

these tools in CIA, it was chosen to provide access to SLICE in CIA. As integration of two<br />

software packages into one can prove delicate, the version of SLICE you can access in CIA is<br />

frozen with respect to the version developed by M. A. Miville-Deschênes. Through him you can<br />

probably obtain a more recent version of SLICE but we cannot guarantee its compatibility with<br />

CIA.<br />

For the examples in sec. 21.3 and 21.4, we assume that you are reducing a raster observation<br />

and that the data are currently stored in a PDS called data. Sec. 21.5 presents a worked example<br />

in more depth. Sec. 21.6 describes the principles of further data quality enhancement tools that<br />

remove bad pixels and ghosts while protecting the sources. Finally, in sec. 21.7 we present a list<br />

of frequently asked questions as well as frequently encountered problems.<br />

1 Taken from Sauvage M., 2001, An Introduction to SLICE inside CIA<br />

273

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