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Adam Miller added subsection_Background_and_its_noise__.tex
over 8 years ago
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\subsection{Background and its noise}
Image background and its noise are important components that we need to estimate
for the source detection, image coaddition, and image subtraction steps.
The background can not be treated as a global property of the image,
as the background is poition dependent (e.g., galactic cirus; Geocoronal emission
line variability).
We suggest the following algorithm to measure the sky background and its noise:
Split the image to $128\times128$\,pixels blocks.
{\bf need to understand implications of block size}
In each block calculate an histogram of the pixel values with bin size such that
the typical number of pixels per bin will be 100.
Fit a Gaussian to the histogram and store the background and std.
Finally, interpolate this grid to all pixels, using a cubic interpolation scheme.
We need to remove blocks containing very bright stars (with $>X$\,e$^{-}$).
