3 papers
astro-ph.CO2026
Towards Practical Field-Level Inference for Weak Lensing
Yuuki Omori, Justine Zeghal, Chihway Chang +2
Nonlinear structure growth generates higher-order correlations and morphological features in the cosmic density field that cannot be fully characterized by two-point statistics. Up…
astro-ph.CO2026
LSST Strong Lensing Systems Dark Matter Sensitivity Analysis with Neural Ratio Estimators
Andreas Filipp, Yashar Hezaveh, Laurence Perreault-Levasseur +2
Strong gravitational lensing offers a unique probe of dark matter (DM) on sub-galactic scales, where the abundance and distribution of low-mass halos are highly sensitive to the un…
astro-ph.GA2025
Using Neural Networks to Automate the Identification of Brightest Cluster Galaxies in Large Surveys
Patrick Janulewicz, Tracy M. A. Webb, Laurence Perreault-Levasseur
Brightest cluster galaxies (BCGs) lie deep within the largest gravitationally bound structures in existence. Though some cluster finding techniques identify the position of the BCG…