collaborators

11 papers

astro-ph.IM2026

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},{\…

astro-ph.CO2026

Dark Energy Survey: Galaxy Sample for the Baryonic Acoustic Oscillation Measurement from the Final Dataset

J. Mena-Fernández, M. Rodríguez-Monroy, S. Avila +85

In this paper we present and validate the galaxy sample used for the analysis of the baryon acoustic oscillation (BAO) signal in the Dark Energy Survey (DES) Y6 data. The definitio…

astro-ph.CO2026

Dark Energy Survey Year 6 Results: Cell-based Coadds and Metadetection Weak Lensing Shape Catalogue

M. Yamamoto, M. R. Becker, E. Sheldon +81

We present the Metadetection weak lensing galaxy shape catalogue from the six-year Dark Energy Survey (DES Y6) imaging data. This dataset is the final release from DES, spanning 44…

astro-ph.GA2026

Constraining the Stellar-to-Halo Mass Relation with Galaxy Clustering and Weak Lensing from DES Year 3 Data

G. Zacharegkas, C. Chang, J. Prat +100

We develop a framework to study the relation between the stellar mass of a galaxy and the total mass of its host dark matter halo using galaxy clustering and galaxy-galaxy lensing…

astro-ph.GA2025

The PAU Survey: Uncovering the connection between intrinsic and observed galaxy properties using symbolic regression

Adarsh Kumar, Carlton M. Baugh, Suttikoon Koonkor +12

Estimating stellar masses for billions of galaxies in upcoming surveys requires methods that are both accurate and computationally efficient. We present a new approach using symbol…

astro-ph.CO2025

Dark Energy Survey Year 3 results: CDM cosmology from simulation-based inference with persistent homology on the sphere

J. Prat, M. Gatti, C. Doux +94

We present cosmological constraints from Dark Energy Survey Year 3 (DES Y3) weak lensing data using persistent homology, a topological data analysis technique that tracks how featu…