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Timestamp:
Sep 3, 2007, 5:19:42 PM (19 years ago)
Author:
eugene
Message:

added some notes, comments

File:
1 edited

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  • trunk/psphot/doc/2Dmodels.txt

    r14727 r14728  
    1313job representing the variations.
    1414
     15My new concept for modeling 2D variations in some parameter is to
     16define a low-resolution 2D image to represent the variation.  The
     17advantage is that the image may be define with whatever resolution may
     18be sampled by the input data, and the functional form need not be
     19constrained by the polynomial basis function. 
     20
     21** is this a poor substitute for using a chebychev polynomial as a
     22   better basis function?
     23
     24psphot parameters which vary by position:
     25
     26pmPSF.params
     27pmPSF.ApTrend
     28pmPSF.FluxScale (flux given normalization of 1.0)
     29
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