340 citations · 1.4k across the 15 of their papers we have counts for
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astro-ph.CO2021★ 44 cited
Lossless, Scalable Implicit Likelihood Inference for Cosmological Fields
T. Lucas Makinen, Tom Charnock, Justin Alsing +1
We present a comparison of simulation-based inference to full, field-based analytical inference in cosmological data analysis. To do so, we explore parameter inference for two case…
astro-ph.GA2021★ 8 cited
Catalog-free modeling of galaxy types in deep images: Massive dimensional reduction with neural networks
Florian Livet, Tom Charnock, Damien Le Borgne +1
Current models of galaxy evolution are constrained by the analysis of catalogs containing the flux and size of galaxies extracted from multiband deep fields carrying inevitable obs…