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Markov Chain Monte Carlo for Bayesian Parametric Galaxy Modeling in LSST
We apply Markov Chain Monte Carlo (MCMC) to the problem of parametric galaxy modeling, estimating posterior distributions of galaxy properties such as ellipticity and brightness for more than 100,000 coadded images of galaxies taken from DC2, a simulated telescope survey resembling the ongoing Rubin
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