 
 
 
 
 
 
 
 
 
 
 
 AAC is the stage of the pipeline in which most of the work is done to 
  generate  products in physical units. As expected with an automatic 
  procedure with no intervention possible on behalf of the observer, the 
  final results may not be as good as those possible with an interactive 
  system like CIA, for example.  Experience has shown, however,
  that the pipeline products archived in IDA 
  are of consistently high enough quality to offer a good overall 
  assessment of the scientific merit
  of the data and enable the observer to make an initial astronomical 
  interpretation using the set of up to 8 different data products provided.
  The tasks performed by  AAC may be summarised as follows, showing the data 
  products (
 ) in which the results appear:
) in which the results appear:
 CGLL;
CGLL;
 CJAM;
CJAM; CCIM;
CCIM;
 CMAP;
CMAP;
 CMOS;
CMOS;
 CPSL;
CPSL;
 CSSP;
CSSP; CUFF.
CUFF.
  AAC's raw ingredients are the revolution's EOHA and EOHC; and CISP SPD and IRPH & IIPH pointing files for prime data or CPSP SPD and CRPH & CIPH pointing files for parallel data; and the set of CAL-G files. The pipeline was designed to offer images and point source measurements in formats as close to standard FITS as possible. Individual calibrated images are reported, for example, in the CMAP file in which, as explained above, FITS PRIMARY image conventions are reproduced in the columns of TABLE[1] over 3 consecutive rows for FLUX, FLUX_ERROR and EXPOSURE. These occur often and are referred to below as CCIM or CMAP or CMOS 3-row images. If more than one part of the sky was observed, such as in a raster or in the beam-switch observing mode, individual CMAP images are combined in the CMOS. Similarly, if a detected point source was observed but not necessarily detected at more than one wavelength, individual CPSL fluxes are combined for the spectra in the CSSP.
AAC's work from beginning to end is reported in the CUFF, or CAM User-Friendly log File, which prints details of the procedures executed and summaries of the results obtained. One of its useful jobs is to show which calibration components were used in the analysis, especially when the exact instrumental configuration was unavailable. The following example CUFF extract shows that, while an optical flat-field of the same optical configuration was available, the nearest detector flat-field in selection parameter space had to be used.
     Extraction of components from CAL-G files
     LW Dflt       EWHL    FCVF    SWHL    PFOV    TINT
     Tried:         308     140      88     360      15
     Got:           308     125     220     192      36
     LW Oflt       PFOV    EWHL    FCVF    SWHL    TINT
     Tried:         360     308     140      88      15
     Got:           360     308     140      88      15
Data are divided into the longest coherent units during which the configurations of satellite and instrument were constant, incorporating pointing and calibration data. These units are known as Standard Calibrated Data, or `SCDs', and the user will find frequent references to them in the CUFF and other data products. The SCD boundaries are decided empirically, by a process that has become known as `slicing', on the basis of a change in any of the following 14 parameters:
| OBST | operating mode | 
| CNFG | configuration counter | 
| DEID | LW or SW detector | 
| EWHL | aperture entrance wheel setting | 
| SWHL | mirror selection wheel setting | 
| PFOV | pixel size lens wheel setting | 
| FCVF | waveband filter wheel setting | 
| GAIN | detector gain | 
| PROC | on-board processing mode | 
| ACSA | number of accumulated or sampled images | 
| BSFG | beam-switch flag | 
| ITIM | integration time | 
| RPID | raster-point ID | 
| IID | prime instrument aperture | 
The assembly of SCD structures marks the end of the frame-by-frame 
  character of ERD and SPD that reflects their operational function 
  with the recognition 
  of the astronomical context and scientific coherence of the data.
  For example, each SCD has a pointing direction - that remains undefined for 
  DRK, CAL, CLN or IDLE SCDs;
  images that are stored in explicit 2-D  structures;
  and a set of references showing which calibration components should ideally 
  be used in analysis.
  Every pixel readout has associated an observed value, a mask and a model 
  value, reflecting the non-destructive approach to data analysis adopted by 
   AAC. The mask is used to signal various conditions that might be detected 
  during the course of analysis, such as that the pixel was dead or had been 
  affected by a cosmic-ray glitch, and serves as the basis for
  the inclusion of individual pixels in calculations or data products. The 
  model value is used to store the reconstructed value from the application 
  of Fouks-Schubert transient modelling.
 structures;
  and a set of references showing which calibration components should ideally 
  be used in analysis.
  Every pixel readout has associated an observed value, a mask and a model 
  value, reflecting the non-destructive approach to data analysis adopted by 
   AAC. The mask is used to signal various conditions that might be detected 
  during the course of analysis, such as that the pixel was dead or had been 
  affected by a cosmic-ray glitch, and serves as the basis for
  the inclusion of individual pixels in calculations or data products. The 
  model value is used to store the reconstructed value from the application 
  of Fouks-Schubert transient modelling.
 
 
 
 
 
 
 
 
