activity
20232026
most citedPopSED: Population-Level Inference for Galaxy Properties from Broadband Photometry with Neural Density Estimation

16 citations · 25 across the 11 of their papers we have counts for

collaborators

11 papers

astro-ph.GA2026

Semiresolved Stellar Populations as Distance Indicators

Ignacio Martín-Navarro, Patricia Iglesias Navarro, Francesco La Barbera +13

Galaxy distances are central to our understanding of the Universe. Despite the success of existing approaches, independent and complementary methods remain valuable for testing sys…

astro-ph.CO2026

Alleviating prior dependencies for DESI DR1 clustering fits through reparameterization

Marco Bonici, Simone Paradiso, Glenn McGee +48

Bayesian analyses of the full-shape clustering of Dark Energy Spectroscopic Instrument (DESI) Data Release 1 (DR1) exhibit prior-volume projection effects, whereby weakly constrain…

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.GA2025★ 8 cited

Simulation-based inference of galaxy properties from JWST pixels

Patricia Iglesias-Navarro, Marc Huertas-Company, Pablo Pérez-González +6

We present an efficient Bayesian SED-fitting framework tailored to multiwavelength pixel photometry from the JWST Advanced Deep Extragalactic Survey (JADES). Our method employs sim…

astro-ph.GA2024

Inhomogeneous Dust Biases Photometric Redshifts and Stellar Masses for LSST

ChangHoon Hahn, Peter Melchior

Spectral energy distribution (SED) modeling is one of the main methods to estimate galaxy properties, such as photometric redshifts, , and stellar masses, , for extragalact…

astro-ph.SR2024

Constraining Protoplanetary Disk Winds from Forbidden Line Profiles with Simulation-based Inference

Ahmad Nemer, ChangHoon Hahn, Jiaxuan Li +2

Protoplanetary disks are the sites of vigorous hydrodynamic processes, such as accretion and outflows, and ultimately establish the conditions for the formation of planets. The pro…

astro-ph.GA2024

Modeling the Kinematics of Central and Satellite Galaxies Using Normalizing Flows

K. J. Kwon, ChangHoon Hahn

Galaxy clustering contains information on cosmology, galaxy evolution, and the relationship between galaxies and their dark matter hosts. On small scales, the detailed kinematics o…

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.GA2023

Galaxies Going Bananas: Inferring the 3D Geometry of High-Redshift Galaxies with JWST-CEERS

Viraj Pandya, Haowen Zhang, Marc Huertas-Company +53

The 3D geometry of high-redshift galaxies remains poorly understood. We build a differentiable Bayesian model and use Hamiltonian Monte Carlo to efficiently and robustly infer the…

astro-ph.CO2023★ 1 cited

Cosmology with multiple galaxies

Chaitanya Chawak, Francisco Villaescusa-Navarro, Nicolas Echeverri Rojas +3

Recent works have discovered a relatively tight correlation between and properties of individual simulated galaxies. Because of this, it has been shown that constraints…

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…