Astrophysics - Cosmology and Nongalactic Astrophysics

Posterior sampling of the initial conditions of the universe from non-linear large scale structures using score-based generative models

Benchmarks and explanations for deep learning estimates of X-ray galaxy cluster masses

A Machine-learning Approach to Enhancing eROSITA Observations

The dynamical mass of the Coma cluster from deep learning

CLMM: a LSST-DESC cluster weak lensing mass modeling library for cosmology

Approximate Bayesian Uncertainties on Deep Learning Dynamical Mass Estimates of Galaxy Clusters

Approximate Bayesian Uncertainties on Deep Learning Dynamical Mass Estimates of Galaxy Clusters

Aging haloes: implications of the magnitude gap on conditional statistics of stellar and gas properties of massive haloes

A Robust and Efficient Deep Learning Method for Dynamical Mass Measurements of Galaxy Clusters