LoCuSS: Exploring the selection of faint blue background galaxies for cluster weak-lensing
Felicia Ziparo, Graham P. Smith, Nobuhiro Okabe, Chris P. Haines,, Maria J. Pereira, Eiichi Egami

TL;DR
This paper investigates the challenges of selecting faint blue background galaxies for cluster weak-lensing measurements, developing a new photometric method to improve selection accuracy and validate it with observational data.
Contribution
It introduces a pragmatic approach combining different photometric redshift catalogs to reliably select faint blue background galaxies for weak-lensing analysis.
Findings
Photometric redshifts with limited filters are inadequate for faint blue galaxy selection.
Combining multiple photometric redshift datasets improves selection accuracy.
The selected blue galaxy sample yields consistent weak-lensing results and density profiles.
Abstract
Cosmological constraints from galaxy clusters rely on accurate measurements of the mass and internal structure of clusters. An important source of systematic uncertainty in cluster mass and structure measurements is the secure selection of background galaxies that are gravitationally lensed by clusters. This issue has been shown to be particular severe for faint blue galaxies. We therefore explore the selection of faint blue background galaxies, by reference to photometric redshift catalogs derived from the COSMOS survey and our own observations of massive galaxy clusters at z~0.2. We show that methods relying on photometric redshifts of galaxies in/behind clusters based on observations through five filters, and on deep 30-band COSMOS photometric redshifts are both inadequate to identify safely faint blue background galaxies. This is due to the small number of filters used by the…
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