most citedPopSED: Population-Level Inference for Galaxy Properties from Broadband Photometry with Neural Density Estimation

16 citations · 16 across the 1 of their papers we have counts for

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1 paper

astro-ph.IM2023★ 16 cited

PopSED: Population-Level Inference for Galaxy Properties from Broadband Photometry with Neural Density Estimation

Jiaxuan Li, Peter Melchior, ChangHoon Hahn +1

We present PopSED, a framework for the population-level inference of galaxy properties from photometric data. Unlike the traditional approach of first analyzing individual galaxies…