run pipeline from SPD to AAR within SIA:
aar = daar( spd [,/all] ) |
daar derives Auto Analysis Result (AAR) from Standard Processed Data
(SPD) as in the pipeline:
- remove all instrumental effects of timescales > one reset interval,
like dark currents, memory effects, detector resposivity, ...
- correct wavelengths for ISO velocity towards target
- convert slopes into flux densities [Jy]
- make spectra: flux versus wavelength
- create AAR structure
Help text: IA auto analysis
In Single Steps:
- remove memory effects:
- dark subtraction:
- updown calibration:
- responsivity calibration:
- flux conversion:
- velocity correction:
- extract AAR:
spd = antimem( spd )
spd = dark( spd )
[ spd = updowncal( spd ) ]
spd = respcal( spd )
spd = fluxcon( spd )
spd = velcor( spd )
aar = extract_aar( spd [,/all] )
Missing Steps:
- updown correction/removing memory effects (esp. band 2 and 4)
- flatfielding of the spectra of the 12 detectors
- clipping/masking/patching bad data points (glitches/tails/jumps)
- smoothing/rebinning to instrument resolution
- defringing (esp. band 2C and 3A, 3C, 3D, 3E)