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astro-ph.IM2025
Removing atmospheric turbulence from ground-based astrometry with fast correlation function measurements
Daniel C. H. Gomes, Gary M. Bernstein, Claire-Alice Hébert
We present a code that removes of the variance in astrometric measurements caused by atmospheric turbulence, by using Gaussian process regression (GPR) to interpolate t…
astro-ph.IM2025
Dimensional reduction for sampled priors and application to photometric redshift distributions
Gary Bernstein, William Assignies Doumerg, Michael A. Troxel +35
A typical Bayesian inference on the values of some parameters of interest from some data involves running a Markov Chain (MC) to sample from the posterior $p({\bf q},{\…