L. Whiteway

activity

20182026

most citedA machine learning approach to galaxy properties: joint redshift-stellar mass probability distributions with Random Forest

46 citations · 46 across the 3 of their papers we have counts for

collaborators

Showing 2025Show all

3 papers · 1 filter

astro-ph.CO2025

Biasing from galaxy trough and peak profiles with the DES Y3 redMaGiC galaxies and the weak lensing mass map

Q. Hang, N. Jeffrey, L. Whiteway +83

We measure the correspondence between the distribution of galaxies and matter around troughs and peaks in the projected galaxy density, by comparing \texttt{redMaGiC} galaxies ($0.…

astro-ph.CO2025

Dark Energy Survey Year 3 results: $w$ 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…

astro-ph.CO2025

It's not $σ_{8}$ : constraining the non-linear matter power spectrum with the Dark Energy Survey Year-5 supernova sample

Paul Shah, T. M. Davis, M. Vincenzi +58

The weak gravitational lensing magnification of Type Ia supernovae (SNe Ia) is sensitive to the matter power spectrum on scales $k > 1 h$ Mpc $^{- 1}$ , making it unwise to interpret SN…

Biasing from galaxy trough and peak profiles with the DES Y3 redMaGiC galaxies and the weak lensing mass map

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

It's not σ8​ : constraining the non-linear matter power spectrum with the Dark Energy Survey Year-5 supernova sample

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

It's not $σ_{8}$ : constraining the non-linear matter power spectrum with the Dark Energy Survey Year-5 supernova sample