collaborators

9 papers

astro-ph.CO2026

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…

astro-ph.CO2026

Calibrating optical galaxy cluster projection effects with sparse spectroscopic samples: A clustering redshift approach

Lei Yang, Hao-Yi Wu, Tesla Jeltema +3

Wide-field optical imaging surveys are efficient at identifying galaxy clusters, but optically identified clusters suffer from projection effects--physically unassociated galaxies…

astro-ph.CO2026

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…

astro-ph.CO2026

Unifying cluster and galaxy cosmology analyses using the galaxy-halo connection

Shulei Cao, Hao-Yi Wu, Andrés N. Salcedo +3

Galaxies and galaxy clusters trace the same cosmic density field, but their statistics have been modeled separately in cosmological analyses. We present a unified, simulation-based…

astro-ph.CO2025

What Galaxy Clusters Have to Say About Dynamical Dark Energy and

Andrés N. Salcedo, Eduardo Rozo, Hao-Yi Wu +4

We show that, in flat CDM, low-redshift structure probes -- cluster abundances, 32-point analyses, and full-shape clustering -- are mutually consistent, jointly deliver…

astro-ph.CO2025

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…