11 papers
OASIS: Observation-Aware Simulation-Based Inference via Distributional Matching
Arya Farahi, Conghao Zhou, Ritwik Vashistha
We introduce OASIS, a simulation-based inference framework for scientific settings where observations are distorted by measurement error, selection effects, and other survey-specif…
Accurate Galaxy Cluster Shear and Mass Calibration for LSST with AnaCal
Conghao Zhou, Xiangchong Li, Hao-Yi Wu +12
The observed abundance of galaxy clusters as a function of mass and redshift provides a powerful route to precision cosmology; a key challenge for cluster cosmology is to establish…
The Vera C. Rubin Observatory Data Preview 1
Vera C Rubin Observatory Team, Tatiana Acero Cuellar, Emily Acosta +325
We present Rubin Data Preview 1 DP1, the first data from the NSF DOE Vera C Rubin Observatory, comprising raw and calibrated single epoch images, coadds, difference images, detecti…
Impact of projection-induced optical selection bias on the weak lensing mass calibration of galaxy clusters
Titus Nyarko Nde, Hao-Yi Wu, Shulei Cao +4
Weak gravitational lensing signals of optically identified clusters are impacted by a selection bias -- halo triaxiality and large-scale structure along the line of sight simultane…
Reaching for the Edge II: Stellar Halos out to Large Radii as a Tracer of Dark Matter Halo Mass
Katya Leidig, Benedikt Diemer, Song Huang +3
The diffuse outskirts of brightest cluster galaxies (BCGs) encode valuable information about the assembly history and mass of their host dark matter halos. However, the low surface…
Cosmological Constraints from Dark Energy Survey Year 1 Cluster Lensing and Abundances with Simulation-based Forward-Modeling
Andrés N. Salcedo, Eduardo Rozo, Hao-Yi Wu +7
We present a simulation-based forward-modeling framework for cosmological inference from optical galaxy-cluster samples, and apply it to the abundance and weak-lensing signals of D…