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Statistical Inference for Coadded Astronomical Images. (arXiv:2211.09300v1 [astro-ph.IM])
Nov. 18, 2022, 2:13 a.m. | Mallory Wang, Ismael Mendoza, Cheng Wang, Camille Avestruz, Jeffrey Regier
stat.ML updates on arXiv.org arxiv.org
Coadded astronomical images are created by stacking multiple single-exposure
images. Because coadded images are smaller in terms of data size than the
single-exposure images they summarize, loading and processing them is less
computationally expensive. However, image coaddition introduces additional
dependence among pixels, which complicates principled statistical analysis of
them. We present a principled Bayesian approach for performing light source
parameter inference with coadded astronomical images. Our method implicitly
marginalizes over the single-exposure pixel intensities that contribute to the
coadded images, …
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