activity
20162026
most citedSecond Data Release of the Hyper Suprime-Cam Subaru Strategic Program

514 citations · 1.7k across the 45 of their papers we have counts for

collaborators
Showing 2022Show all

5 papers · 1 filter

astro-ph.CO2022★ 15 cited

A General Framework for Removing Point Spread Function Additive Systematics in Cosmological Weak Lensing Analysis

Tianqing Zhang, Xiangchong Li, Roohi Dalal +10

Cosmological weak lensing measurements rely on a precise measurement of the shear two-point correlation function (2PCF) along with a deep understanding of systematics that affect i…

astro-ph.CO2022★ 39 cited

Weak Lensing Tomographic Redshift Distribution Inference for the Hyper Suprime-Cam Subaru Strategic Program three-year shape catalogue

Markus Michael Rau, Roohi Dalal, Tianqing Zhang +7

We present posterior sample redshift distributions for the Hyper Suprime-Cam Subaru Strategic Program Weak Lensing three-year (HSC Y3) analysis. Using the galaxies' photometry and…

astro-ph.CO2022★ 18 cited

Analytical Weak-lensing Shear Responses of Galaxy Properties and Galaxy Detection

Xiangchong Li, Rachel Mandelbaum

Shear estimation bias from galaxy detection and blending identification is now recognized as an issue for ongoing and future weak lensing surveys. Currently, the empirical approach…

astro-ph.CO2022★ 20 cited

Photometric Redshift Uncertainties in Weak Gravitational Lensing Shear Analysis: Models and Marginalization

Tianqing Zhang, Markus Michael Rau, Rachel Mandelbaum +2

Recovering credible cosmological parameter constraints in a weak lensing shear analysis requires an accurate model that can be used to marginalize over nuisance parameters describi…

astro-ph.GA2022★ 1 cited

Dark matter halos of luminous AGNs from galaxy-galaxy lensing with the HSC Subaru Strategic Program

Wentao Luo, John D. Silverman, Surhud More +12

We assess the dark matter halo masses of luminous AGNs over the redshift range 0.2 to 1.2 using galaxy-galaxy lensing based on imaging data from the Hyper Suprime-Cam Subaru Strate…