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

242 CHAPTER 20. ADVANCED DATA CALIBRATION
6 LW OBS LW2 3.0 5.04 1 512 24 180.450 -18.908
7 LW OBS LW2 3.0 5.04 1 512 23 180.458 -18.886
etc...
2. Perform dark correction and deglitching on the SSCD:
CIA> corr_dark, sscd, method=’vilspa’
CIA> deglitch, sscd
3. Stabilize the entire SSCD. Remember that there are 4 CONFIGURATIONs in this observation.
By performing transient correction on the SSCD we give the Fouks-Schubert
fitting method (see Section 20.2.3) as much contiguous data as possible, hence increasing
the quality of the correction.
As recommended for the Fouks-Schubert method, we need to create an initial stabilized
image. This is derived by a simple median reduction of the data in the first SCD that
contains good data. A quick look at the output of sscd info above tells us that this is the
third SCD in our SSCD:
CIA> scds = sscd_elem(sscd)
CIA> data = scd_get(’model’, scds[2])
CIA> stab_img = reduce_cube(data, /median)
You can ignore any output from reduce cube. Now supply this image to stabilize:
CIA> stabilize, sscd, method=’fs’, stab_img=stab_img
4. Clean the SSCD and split into new SSCDs for each CONFIGURATION.
CIA> cleaned_sscd = sscd_clean(sscd)
5. Create a raster PDS from the first CONFIGURATION. Reduce, flat-field the data and
build the MOSAIC image in the usual way.
CIA> raster_pds = get_sscdraster(cleaned_sscd[0])
CIA> reduce, raster_pds
CIA> corr_flat, raster_pds
CIA> raster_scan, raster_pds
This step may be repeated for the remaining 3 CONFIGURATIONs or 3 SSCDs.