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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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20.18. HOW TO SAVE SPOILED OBSERVATIONS 269<br />

20.18 How to save spoiled observations<br />

The data of some observations are spoil and therefore resists standard CIA data reduction. The<br />

most common reasons are:<br />

1. telemetry drops<br />

2. bad raster point IDs<br />

3. target not acquired<br />

4. bad QLA flag<br />

5. bad CSH flag<br />

6. strong saturation<br />

CIA provides the functionality to recover some of these observations. However, only experienced<br />

CIA users should try these steps!<br />

telemetry drops Short telemetry drops, affecting only a few readouts, will normally go unnoticed.<br />

For longer telemetry drops, were the data for one or more SCDs is missing, the<br />

following actions can be taken:<br />

• raster observations: Calling get sscdraster with the option /nocheck will permit<br />

you to continue with the data reduction.<br />

CIA> raster_pds = get_sscdraster(sscd, /nocheck)<br />

Alternatively, sscd clean will fake empty SCDs so that get sscdraster is tricked<br />

into believing the raster is complete.<br />

CIA> cleaned_sscd = sscdclean(sscd)<br />

CIA> raster_pds = get_sscdraster(cleaned_sscd, /nocheck)<br />

• CVF observations: CIA data reduction is not affected by telemetry drops.<br />

• Beam-Switch observations: With most beam-switch observations consisting only of<br />

one on and one off-position, the observation is quite likely lost. If there are more on/off<br />

positions, use get sscdstruct on the “cleaned” dataset, e.g. a dataset containing no<br />

spurious SCDs any more, and combine the results of on/off positions manually.<br />

• Polarization observations: It will depend on the redundancy of the observation,<br />

whether the observation is lost. If there are sufficient observations with all polarizors,<br />

use get sscdstruct on the “cleaned” dataset, and combine the results manually.<br />

badrasterpointIDsSome observations are affected by an invalid [0,0] raster-point ID. sscd clean<br />

will remove these SCDs so you can progress with your data reduction. However, the final<br />

mosaic will contain holes — in the example below 39 readouts for the three pointings with<br />

the raster-point IDs [26,2], [25,2] and [24,2] are merged in one SCD, SCD #35.

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