Gaussian 1-D Convolution

In an attempt to remove some of the unexpected behavior in stacking and differencing, a new mode was added to the pmSubtraction code. This mode defines a new kernel type PM_SUBTRACTION_KERNEL_SIMPLE which breaks out from the current Alard-Lupton PSF matching code into work-alike replacement.

Mathematically, instead of attempting to do the PSF matching with a sum of the product of Gaussians and polynomials, this SIMPLE kernel examines only the measured FWHM values for the two PSFs. From these values, a Gaussian kernel is constructed with sigma_kern2 = (FWHM_large2 - FWHM_small2)/(2 sqrt(2 log 2))2. The smaller PSF image is then convolved by this kernel and the results returned.

Below are a series of comparison images from tests with real GPC1 data. The left panel shows the standard pmSubtraction kernels, and the right shows the new SIMPLE kernel.

Convolved stack:

Unconvolved stack:

Warp-warp diff:

Real object zoom in diff:

After processing the SAS stacks and static sky with the 1-D Gaussian convolution, we can compare the timing for these stages between the two PSF matching codes using the dtime values listed in the database. For all subsequent plots, the x-axis shows the default time with the pmSubtraction kernels (SAS.20130620), and the y-axis shows the ratio of simple/default (SAS.20130703/SAS.20130620). The different "power" splits in the plots attempt to separate the values based on the host that the calculations were performed upon. This split was done under the assumption that ippcXX hosts are more powerful than ipp0YY hosts. No further divisions into generation of host was done, but this does illustrate that when the new code is run on ipp0YY hosts, it averages about the same as the old code run on ippcXX hosts. In any other case, the new code appears to run ~20% faster than the old code. Less improvement is seen in the static sky runs, but as convolution and PSF matching is a smaller fraction of the total execution time (which is dominated by photometry), this is understandable.

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