$\mu_{\star}$ Masses: Weak Lensing Calibration of the Dark Energy Survey Year 1 redMaPPer Clusters using Stellar Masses
M. E. S. Pereira, A. Palmese, T. N. Varga, T. McClintock, M., Soares-Santos, J. Burgad, J. Annis, A. Farahi, H. Lin, A. Choi, J. DeRose, J., Esteves, M. Gatti, D. Gruen, W. G. Hartley, B. Hoyle, T. Jeltema, N., MacCrann, A. Roodman, C. S\'anchez, T. Shin, A. von der Linden

TL;DR
This paper calibrates a stellar mass-based galaxy cluster mass proxy using weak lensing in the Dark Energy Survey Year 1, extending the calibration to higher redshifts and analyzing systematic uncertainties.
Contribution
First calibration of the $$ mass proxy at high redshifts using weak lensing, accounting for multiple systematic uncertainties, and establishing a joint mass--$$--$z$ scaling relation.
Findings
Derived the mass--$$--$z$ scaling relation with specific parameters.
Extended calibration of $$ to redshifts $z>0.33$.
Quantified systematic uncertainties affecting mass estimates.
Abstract
We present the weak lensing mass calibration of the stellar mass based mass proxy for redMaPPer galaxy clusters in the Dark Energy Survey Year 1. For the first time we are able to perform a calibration of at high redshifts, . In a blinded analysis, we use clusters split into 12 subsets spanning the ranges and up to , and infer the average masses of these subsets through modelling of their stacked weak lensing signal. In our model we account for the following sources of systematic uncertainty: shear measurement and photometric redshift errors, miscentring, cluster-member contamination of the source sample, deviations from the NFW halo profile, halo triaxiality and projection effects. We use the inferred masses to estimate the joint mass---- scaling…
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