A weak lensing analysis of the Abell 383 cluster

TL;DR

This study uses deep multi-band imaging and simulations to accurately measure the mass of the Abell 383 galaxy cluster through weak lensing, improving previous estimates and aligning with X-ray data.

Contribution

It introduces a semi-automatic color-based galaxy selection method and applies realistic simulations to refine weak lensing mass measurements.

Findings

Cluster mass estimate is ~20% higher than previous studies.

The new method reduces contamination from foreground galaxies.

Results are consistent with X-ray derived mass estimates.

Abstract

In this paper we use deep CFHT and SUBARU $uBVRIz$ archival images of the Abell 383 cluster (z=0.187) to estimate its mass by weak lensing. To this end, we first use simulated images to check the accuracy provided by our KSB pipeline. Such simulations include both the STEP 1 and 2 simulations, and more realistic simulations of the distortion of galaxy shapes by a cluster with a Navarro-Frenk-White (NFW) profile. From such simulations we estimate the effect of noise on shear measurement and derive the correction terms. The R-band image is used to derive the mass by fitting the observed tangential shear profile with a NFW mass profile. Photometric redshifts are computed from the uBVRIz catalogs. Different methods for the foreground/background galaxy selection are implemented, namely selection by magnitude, color and photometric redshifts, and results are compared. In particular, we developed a semi-automatic algorithm to select the foreground galaxies in the color-color diagram, based on observed colors. Using color selection or photometric redshifts improves the correction of dilution from foreground galaxies: this leads to higher signals in the inner parts of the cluster. We obtain a cluster mass that is ~ 20% higher than previous estimates, and is more consistent the mass expected from X--ray data. The R-band luminosity function of the cluster is finally computed.