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Changes between Initial Version and Version 1 of ESSENCE_Subtractions


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Timestamp:
Feb 24, 2009, 4:23:54 PM (17 years ago)
Author:
trac
Comment:

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  • ESSENCE_Subtractions

    v1 v1  
     1I tried for about a week to figure out the right format file for the CTIO 4m Blanco MOSAIC2 that would support both full-FPA processing and individual amp- or chip-based processing.  In the end I just gave up and treated each reduced amplifier as an FPA in the configuration files.  This was easy and simple, but a guide with examples on how the configurations are supposed to be set up for various different detectors would be quite helpful to be able to self-consistently use the IPP for a full processing of images.  But for now the first goal is just to see if we can get subtractions from already-processed ESSENCE images and do object detection, lightcurves, and classification.
     2
     3On our IIC cluster here at Harvard, I ran
     4
     5 ppSub /gpfs1/Panstarrs/smsn/data/v9.0/W/workspace/sm061227/2/wdd8.061227_0404.033_2.sw.fits \
     6 /gpfs1/Panstarrs/smsn/data/v9.0/W/workspace/wtempl_05/2/wdd8.041114_0358.078_2.sw.fits \
     7 -inweight /gpfs1/Panstarrs/smsn/data/v9.0/W/workspace/sm061227/2/wdd8.061227_0404.033_2.sw.noise.fits.gz \
     8 -refweight /gpfs1/Panstarrs/smsn/data/v9.0/W/workspace/wtempl_05/2/wdd8.041114_0358.078_2.sw.noise.fits.gz \
     9 Wsub
     10
     11ESSENCE and the IPP use a slightly different convention for masking so I didn't use the ESSENCE masks.  However, the weight images do have very high variances set for the masked-out regions so it's OK for now not to have the mask.  I ran with a very simple, and theoretically inadequate, convolution kernel size.  Here's the "ppSub.config" I used.  This was with Paul Price's ipp-2.2b ppSub modifications.
     12
     13 ### Recipe file for ppSub
     14 
     15 KERNEL.TYPE     STR     ISIS            # Kernel type to use (POIS|ISIS|SPAM|FRIES)
     16 KERNEL.SIZE     S32     5               # Kernel half-size (pixels)
     17 SPATIAL.ORDER   S32     0               # Spatial polynomial order
     18 STAMP.SPACING   F32     200             # Typical spacing between stamps (pixels)
     19 STAMP.FOOTPRINT S32     5               # Size of stamps (pixels)
     20 STAMP.THRESHOLD F32     0               # Flux threshold for stamps (ADU)
     21 ITER            S32     10              # Number of rejection iterations
     22 REJ             F32     1.5             # Rejection level (std dev)
     23 MASK.BAD        STR     BLANK,BAD,SAT   # Mask value for bad pixels
     24 MASK.BLANK      STR     BLANK           # Mask value to give blank pixels
     25 @ISIS.WIDTHS    F32     3 6             # Gaussian widths for ISIS kernels
     26 @ISIS.ORDERS    S32     2 2             # Polynomial orders for ISIS kernels
     27 SPAM.BINNING    S32     2               # Binning in outer region for SPAM kernels
     28 INNER           S32     5               # Inner half-size for SPAM and FRIES kernels
     29 RINGS.ORDER     S32     1               # Polynomial order for RING kernels
     30
     31 REGION.SIZE     F32     NAN               # Size of region over which to solve for one variable  convolution; 0 or NAN means one regio