4 papers
Field-level inference of growth rate from DESI BGS galaxy and ZTF supernova simulations
Corentin Ravoux, Bastien Carreres, Julian Bautista +60
Galaxy peculiar velocities are a powerful probe of the growth rate of structure at low redshifts (), measured through the combination . These constraints are imp…
Cosmic Pairs: A DESI Census of Dual and Offset AGN as Precursors to Massive Black Hole Binaries
Ekaterine Dadiani, Antonella Palmese, Yihao Zhou +52
We present a systematic census of dual and offset active galactic nuclei (AGN) using spectroscopic data from the first data release (DR1) of the Dark Energy Spectroscopic Instrumen…
Learning Intrinsic Alignments from Local Galaxy Environments
Matthew Craigie, Eric Huff, Yuan-Sen Ting +2
We present DELTA (Data-Empiric Learned Tidal Alignments), a deep learning model that isolates galaxy intrinsic alignments (IAs) from weak lensing distortions using only observation…
Learning Balanced Field Summaries of the Large-Scale Structure with the Neural Field Scattering Transform
Matthew Craigie, Yuan-Sen Ting, Rossana Ruggeri +1
We present a cosmology analysis of simulated weak lensing convergence maps using the Neural Field Scattering Transform (NFST) to constrain cosmological parameters. The NFST extends…