We perform a cross validation of the cluster catalog selected by the red-sequence Matched-filter Probabilistic Percolation algorithm (redMaPPer) in Dark Energy Survey year 1 (DES-Y1) data by matching it with the Sunyaev-Zel'dovich effect (SZE) selected cluster catalog from the South Pole Telescope SPT-SZ survey. Using the mass information from the SZE signal, we calibrate the richness--mass relation above a measured richness $hatlambda>40$ using a Bayesian cluster population model. We find a mass trend $lambdapropto M^{B}$ consistent with a linear relation ($Bsim1$), no significant redshift evolution and an intrinsic scatter in richness of $sigma_{lambda} = 0.22pm0.06$. By considering two error models, we explore the impact of projection effects on the richness--mass modelling, confirming that such effects are not detectable at the current level of systematic uncertainties. At low richness SPT-SZ confirms fewer redMaPPer clusters than expected. We interpret this richness dependent deficit in confirmed systems as due to the increased presence at low richness of low mass objects not correctly accounted for by our richness-mass scatter model, which we call contaminants. At a richness $hat lambda=40$, this population makes up $>$12$%$ (97.5 percentile) of the total population. Extrapolating this to a measured richness $hat lambda=20$ yields $>$22$%$ (97.5 percentile). With these contamination fractions, the predicted redMaPPer number counts in different plausible cosmologies are compatible with the measured abundance. The mean mass from stacked weak lensing (WL) measurements suggests that these low mass contaminants are galaxy groups with masses $sim3$-$5 imes 10^{13} $ M$_odot$ which are beyond the sensitivity of current SZE and X-ray surveys but a natural target for SPT-3G and eROSITA....

Exploring the contamination of the DES-Y1 Cluster Sample with SPT-SZ selected clusters

Costanzi, M.;Saro, A.;
2021-01-01

Abstract

We perform a cross validation of the cluster catalog selected by the red-sequence Matched-filter Probabilistic Percolation algorithm (redMaPPer) in Dark Energy Survey year 1 (DES-Y1) data by matching it with the Sunyaev-Zel'dovich effect (SZE) selected cluster catalog from the South Pole Telescope SPT-SZ survey. Using the mass information from the SZE signal, we calibrate the richness--mass relation above a measured richness $hatlambda>40$ using a Bayesian cluster population model. We find a mass trend $lambdapropto M^{B}$ consistent with a linear relation ($Bsim1$), no significant redshift evolution and an intrinsic scatter in richness of $sigma_{lambda} = 0.22pm0.06$. By considering two error models, we explore the impact of projection effects on the richness--mass modelling, confirming that such effects are not detectable at the current level of systematic uncertainties. At low richness SPT-SZ confirms fewer redMaPPer clusters than expected. We interpret this richness dependent deficit in confirmed systems as due to the increased presence at low richness of low mass objects not correctly accounted for by our richness-mass scatter model, which we call contaminants. At a richness $hat lambda=40$, this population makes up $>$12$%$ (97.5 percentile) of the total population. Extrapolating this to a measured richness $hat lambda=20$ yields $>$22$%$ (97.5 percentile). With these contamination fractions, the predicted redMaPPer number counts in different plausible cosmologies are compatible with the measured abundance. The mean mass from stacked weak lensing (WL) measurements suggests that these low mass contaminants are galaxy groups with masses $sim3$-$5 imes 10^{13} $ M$_odot$ which are beyond the sensitivity of current SZE and X-ray surveys but a natural target for SPT-3G and eROSITA....
2021
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https://academic.oup.com/mnras/article/504/1/1253/6188380
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11368/2988336
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