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Changes between Initial Version and Version 1 of psphot_detection_comparison


Ignore:
Timestamp:
Mar 8, 2011, 2:44:44 PM (15 years ago)
Author:
watersc1
Comment:

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  • psphot_detection_comparison

    v1 v1  
     1I tested the object detection efficiency of psphot by running psphot
     2on a number of images supplied by Jim:
     3
     41) ps1_i_sub.fits/ps1_i_sub_mask.fits/ps1_i_sub_wts.fits
     5
     6   This image was a composite mosaic Jim put together from four MD04
     7   reference stack frames.  This composite mosaic does not include the
     8   covariance information from the original stacks, which clearly impacts
     9   the object detection.  The CMF from this run has 7884 PSF objects
     10   (5658 with non NULL PSF_INST_MAG), and 1354 xsrc objects.  The image
     11   with non-NULL mag PSF objects overplotted shows a number of missed
     12   objects along with faint objects and objects that do not appear real.
     13
     14[[Image(image1.png)]]
     15
     162) i_sdss_sub.fits/i_sdss_sub.mask.fits/i_sdss_sub.var.fits
     17
     18   This is another composite mosaic of SDSS images.  The original images
     19   had no covariance information, so it is not lost during this
     20   processing.  The CMF from this run has 712 PSF objects, all of which
     21   have non-NULL PSF_INST_MAG, and 169 xsrc objects.  All objects
     22   detected in this image appear to be real, and there are only a few
     23   cases where a real-looking object is not detected.
     24
     25[[Image(image2.png)]]
     26
     27
     283) subaru_ip_064_sci_20.fits/subaru_ip_064_sci_20.mk.fits/subaru_ip_064_sci_20.wt.fits
     29
     30   This is a deep Subaru image with mask and variance created by setting
     31   the mask to all zero (accept all pixels) and the variance image equal
     32   to VAR = SCI + 21.19**2, where 21.19 is a quick estimate of the image
     33   noise.  The CMF contains 2015 PSF objects (1989 with not-NULL
     34   PSF_INST_MAG) and 25 xsrc objects.  The low number is almost certainly
     35   due to the poor variance image model, which excludes the majority of
     36   the faintest objects.
     37
     38[[Image(image3.png)]]
     39
     40
     414) MD04.V2.skycell.078.stk.179047.unconv.fits/MD04.V2.skycell.078.stk.179047.unconv.mask.fits/MD04.V2.skycell.078.stk.179047.unconv.wt.fits
     42
     43   This is one of the raw MD04 reference stack frames used in the mosaic
     44   above.  This retains the covariance information, and the associated
     45   CMF file shows a much better correspondance between image and detected
     46   objects.  The CMF has 16417 PSF objects (16212 with non-NULL
     47   PSF_INST_MAG) and 1276 xsrc objects.  Although there are a large
     48   number of detections, the majority appear to associate with very faint
     49   objects.
     50
     51[[Image(image4.png)]]
     52
     535) subaru/MD04 unconv comparison
     54
     55   To check how many of the objects detected in the MD04 reference stack
     56   correspond to real faint objects, the detection list from #4 was
     57   overlaid on the image from #3.  Although there are some detections
     58   that do not associate with real objects on this deeper image, it does
     59   appear that the majority of the faint detections from #4 are real.
     60
     61[[Image(image5.png)]]