activity
20062025
most citedDark Energy Survey Year 3 Results: Cosmological Constraints from Galaxy Clustering and Weak Lensing

1.2k citations · 20.3k across the 248 of their papers we have counts for

collaborators

253 papers

astro-ph.CO2025

Reconstructing Quasar Spectra and Measuring the Ly Forest with

ChangHoon Hahn, Satya Gontcho A Gontcho, Peter Melchior +37

Quasar spectra carry the imprint of foreground intergalactic medium (IGM) through absorption features. In particular, absorption caused by neutral hydrogen gas, the ``Ly forest,…

astro-ph.CO2025

Dark Energy Survey Year 6 Results: Photometric Data Set for Cosmology

K. Bechtol, I. Sevilla-Noarbe, A. Drlica-Wagner +103

We describe the photometric data set assembled from the full six years of observations by the Dark Energy Survey (DES) in support of static-sky cosmology analyses. DES Y6 Gold is a…

astro-ph.CO2024★ 2 cited

The little coadd that could: Estimating shear from coadded images

Robert Armstrong, Erin Sheldon, Eric Huff +9

Upcoming wide field surveys will have many overlapping epochs of the same region of sky. The conventional wisdom is that in order to reduce the errors sufficiently for systematics-…

astro-ph.IM2023★ 2 cited

Constructing Impactful Machine Learning Research for Astronomy: Best Practices for Researchers and Reviewers

D. Huppenkothen, M. Ntampaka, M. Ho +19

Machine learning has rapidly become a tool of choice for the astronomical community. It is being applied across a wide range of wavelengths and problems, from the classification of…

astro-ph.CO2023

Cosmology with Galaxy Photometry Alone

ChangHoon Hahn, Francisco Villaescusa-Navarro, Peter Melchior +1

We present the first cosmological constraints using only the observed photometry of galaxies. Villaescusa-Navarro et al. (2022; arXiv:2201.02202) recently demonstrated that the int…

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…