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

5.2. DATA ANALYSIS 37
Depending on the apparent velocity of the target, the number of SCDs / STATEs for each
configuration can vary significantly.
4. Remove unwanted SCDs with sscd clean.
CIA> cleaned_sscd = sscd_clean( sscd )
Out of 44 SCDs:
11 are rejected due to mode
7 are rejected due to csh flag
20 are rejected due to qla flag
In total 22 are accepted
26-Feb-2002 17:07:45.00 SSCD_CLEAN v.2.7
We are left with four SSCDs, corresponding to the four configurations.
Let’s concern ourselves with the first clean SSCD. Using sscd info, compare the characteristics
of its component SCDs with those of the whole observation. As expected the first
SSCD returned by sscd clean contains all the data from the first CONFIGURATION,
an observation using the LW7 filter. Also, it can be seen that 5 pointings were performed
to track the movement of the comet.
CIA> sscd_info, cleaned_sscd[0], parameter=[’channel’, ’ENTWHL’, ’mode’, $
CIA> ’fltrwhl’, ’pfov’, ’tint’, ’gain’, ’size’, ’m_raster’, ’n_raster’]
5 SCDs in the SSCD: CSSC812002020001_99121614325400
seq channel ENTWHL mode fltrwhl pfov tint gain size m_raster n_raster
0 LW HOLE OBS LW7 1.5 2.10 2 18 3 1
1 LW HOLE OBS LW7 1.5 2.10 2 18 4 1
2 LW HOLE OBS LW7 1.5 2.10 2 18 5 1
3 LW HOLE OBS LW7 1.5 2.10 2 19 6 1
4 LW HOLE OBS LW7 1.5 2.10 2 9 7 1
5. Now we must place the contents of the SSCD into a PDS. For an SSO observation we use
a general PDS. This is created with get sscdstruct.
CIA> sso_pds = get_sscdstruct( cleaned_sscd[0] )
6. Now we can proceed with the calibration. We will perform the standard calibration steps
on the cube, i.e. sso pds.cube. In this observation the data does not need stabilization
correction – however feel free to experiment with this.
CIA> corr_dark, sso_pds
CIA> deglitch, sso_pds
Now we have a nicely calibrated PDS. You might want to check this with x3d. Thistime
you can click on the button mask to see which pixel have been masked by the calibration
routines.