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Дата изменения: Wed Jul 2 06:50:08 2008
Дата индексирования: Fri Sep 5 22:20:14 2008
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Поисковые слова: п п п п п п п п п п п п п п п п п п

XMM-Newton Science Analysis System


rgsspectrum (rgsspectrum-2.6.3) [xmmsas_20080701_1801-8.0.0]

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Algorithm

The following three fragments of pseudo-code summarize the computation of the spectrum at any given channel. fg and bg refer to source and background respectively, though these qualifiers are omitted where it may be understood that a TOTAL spectrum refers to fg and a BKG spectrum refers to bg. The first fragment is the formula for histogramming the events.

IF ( mode == HTR )
  IF ( XDSP_CHANNEL in SpatialSourceRegion )
    IF ( PI in EnergySourceRegion ) ++fg.counts
    IF ( PI in EnergyBackgroundRegion ) ++bg.counts
ELSE
  IF ( PI in EnergySourceRegion )
    IF ( XDSP_CHANNEL in SpatialSourceRegion ) ++fg.counts
    IF ( XDSP_CHANNEL in SpatialBackgroundRegion ) ++bg.counts

The next fragment computes the backscal and frac_exp statistics from the accumulated exposure, which is just the sum over all exposure map pixels that lie within the spatial selection region at the given channel. The fullExposure statistic is simply the DATAMAX attribute of the exposure map associated with the channel. Note that this association is not guaranteed to be unique (particularly at the trans-node boundary), and when the fullExposure value for a channel is not well defined the statistics are flagged as having been corrupted.

IF ( mode == HTR )
  fg.backscal = background distribution integrated over EnergySourceRegion
  bg.backscal = background distribution integrated over EnergyBackgroundRegion
  normalizer = $rebin * extent( SpatialSourceRegion ) * fullExposure
  frac_exp = normalizer ? fg.exposure / normalizer : 0
ELSE
  backscal = fullExposure ? exposure / fullExposure : 0
  normalizer = $rebin * extent( SpatialRegion ) * fullExposure
  frac_exp = normalizer ? exposure / normalizer : 0

The last fragment shows how each output column is defined. The dubious flag indicates corrupted statistics as explained above, and it is also set in accordance with the edgechannels parameter.

AREASCAL = fullExposure / EXPOSURE
QUALITY = dubious ? $badquality : 0

IF ( HDUCLAS2 == NET )
  scale = bg.backscal ? fg.backscal / bg.backscal : 0
  COUNTS = fg.counts - round( scale * bg.counts )
  STAT_ERR = max( 1, sqrt( fg.counts + scale * scale * bg.counts ) )
  FRAC_EXP = fg.frac_exp
  IF ( !bg.backscal OR fg.frac_exp < $exposed OR bg.frac_exp < $exposed )
    QUALITY = $badquality
ELSE
  COUNTS = counts
  BACKSCAL = backscal
  FRAC_EXP = frac_exp
  IF ( frac_exp < $exposed )
    QUALITY = $badquality