Galaxy-dark matter connection from weak lensing in imaging surveys: Impact of photometric redshift errors
Navin Chaurasiya, Surhud More, Daichi Kashino, Shogo Masaki, Shogo, Ishikawa

TL;DR
This paper develops a framework to quantify how photometric redshift errors impact galaxy-dark matter connection measurements from weak lensing surveys, revealing biases in inferred halo masses especially at higher stellar masses.
Contribution
It introduces a systematic assessment method using mock galaxy samples to evaluate biases caused by photometric redshift uncertainties in galaxy-halo studies.
Findings
Bias in halo mass estimates is below 0.05 dex for low-mass thresholds.
Systematic bias increases to about 0.2 dex at higher stellar masses.
Contamination effects are mild for stellar mass thresholds below 10.6 dex.
Abstract
The uncertainties in photometric redshifts and stellar masses from imaging surveys affect galaxy sample selection, their abundance measurements, as well as the measured weak lensing signals. We develop a framework to assess the systematic effects arising from the use of redshifts and stellar masses derived from photometric data, and explore their impact on the inferred galaxy-dark matter connection. We use galaxy catalogues from the UniverseMachine (UM) galaxy formation model to create Pz-mock galaxy samples that approximately follow the redshift errors in the Subaru HSC survey. We focus on galaxy stellar-mass thresholds ranging from from to in steps of 0.2 dex within two redshift bins and . A comparison of the Pz-mock samples to true galaxy samples in UM shows a relatively mild sample contamination for…
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Taxonomy
TopicsStatistical and numerical algorithms · Astronomy and Astrophysical Research · History and Developments in Astronomy
