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Buglog #171
- Thursday, July 09 1992 @ 10:17 PM GMT
- Contributed by: admin
- Views: 985
MODULE: apextract.apfit, apextract.apflatten
SYSTEM: V2.10.0
SYSTEM: V2.10.0
NUMBER: 171 MODULE: apextract.apfit, apextract.apflatten SYSTEM: V2.10.0 DATE: Thu Jul 9 16:17:01 MST 1992 FROM: valdes BUG: In these tasks which output the difference, ratio, or fit based on a profile model the profile model is low by a factor of the gain. Thus if the gain is not one the results will not be correct. For example APFLATTEN will produce flat field values within the aperture which are multiplied by the gain except outside the apertures. The workarounds are either to use a gain of 1 or correct the output such as with IMARITH. The latter option may be difficult to apply for APFLATTEN since special steps need to be taken for the interaperture values. Note that using an gain of 1 even though the true gain is higher will often be unimportant, especially if cosmic ray cleaning is not done. STATUS: Fixed in V2.10.1. NUMBER: 225 MODULE: apfit, apnormalize SYSTEM: V2.10 - V2.10.2 DATE: Fri Aug 27 18:42:14 MST 1993 FROM: valdes BUG: The results of the 'fit' and 'difference' in APFIT and of APNORMALIZE are incorrect by a factor of the gain. This is basically the same bug as 171 which was not correctly fixed. The workarounds are to use a gain of 1. STATUS: Fixed in V2.10.3 NUMBER: 275 MODULE: apnormalize SYSTEM: V2.10.3BETA DATE: Fri Jan 27 17:16:35 MST 1995 FROM: valdes BUG: In bug numbers 171 and 225 it was noted that when using variance weighting or cleaning in APNORMALIZE the result would end up scaled by the gain value. The fix was to divide the result by the gain. However, the default parameters for APNORMALIZE do not call for variance weighting or cleaning and so the gain and readnoise are not read. The uninitialized value of the gain used to divide the result of APNORMALIZE is zero causing a divide by zero error. The workaround is to set the weights paraemter to 'variance'. The actually weighting and gain and readnoise parameters are not important to this algorithm. STATUS: This only affects version V2.10.3BETA and will be fixed in later versions.
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