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

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 Telesc...

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Main Authors: Grandis, S., Mohr, J. J., Costanzi, M., Saro, A., Bocquet, S., Klein, M., Aguena, M., Allam, S., Annis, J., Ansarinejad, B., Bacon, D., Bertin, E., Bleem, L., Brooks, D., Burke, D. L., Rosel, A. Carnero, Kind, M. Carrasco, Carretero, J., Castander, F. J., Choi, A., da Costa, L. N., De Vincente, J., Desai, S., Diehl, H. T., Dietrich, J. P., Doel, P., Eifler, T. F., Everett, S., Ferrero, I., Floyd, B., Fosalba, P., Frieman, J., García-Bellido, J., Gaztanaga, E., Gruen, D., Gruendl, R. A., Gschwend, J., Gupta, N., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Jeltema, T., Kuehn, K., Lahav, O., Lidman, C., Lima, M., Maia, M. A. G., March, M., Marshall, J. L., Melchior, P., Menanteau, F., Miquel, R., Morgan, R., Myles, J., Ogando, R., Palmese, A., Paz-Chinchón, F., Plazas, A. A., Reichardt, C. L., Romer, A. K., Sanchez, E., Scarpine, V., Serrano, S., Sevilla-Noarbe, I., Singh, P., Smith, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., To, C., Weller, J., Wilkinson, R. D., Wu, H.
Format: Article in Journal/Newspaper
Language:unknown
Published: arXiv 2021
Subjects:
Online Access:https://dx.doi.org/10.48550/arxiv.2101.04984
https://arxiv.org/abs/2101.04984
id ftdatacite:10.48550/arxiv.2101.04984
record_format openpolar
spelling ftdatacite:10.48550/arxiv.2101.04984 2023-05-15T18:23:16+02:00 Exploring the contamination of the DES-Y1 Cluster Sample with SPT-SZ selected clusters Grandis, S. Mohr, J. J. Costanzi, M. Saro, A. Bocquet, S. Klein, M. Aguena, M. Allam, S. Annis, J. Ansarinejad, B. Bacon, D. Bertin, E. Bleem, L. Brooks, D. Burke, D. L. Rosel, A. Carnero Kind, M. Carrasco Carretero, J. Castander, F. J. Choi, A. da Costa, L. N. De Vincente, J. Desai, S. Diehl, H. T. Dietrich, J. P. Doel, P. Eifler, T. F. Everett, S. Ferrero, I. Floyd, B. Fosalba, P. Frieman, J. García-Bellido, J. Gaztanaga, E. Gruen, D. Gruendl, R. A. Gschwend, J. Gupta, N. Gutierrez, G. Hinton, S. R. Hollowood, D. L. Honscheid, K. James, D. J. Jeltema, T. Kuehn, K. Lahav, O. Lidman, C. Lima, M. Maia, M. A. G. March, M. Marshall, J. L. Melchior, P. Menanteau, F. Miquel, R. Morgan, R. Myles, J. Ogando, R. Palmese, A. Paz-Chinchón, F. Plazas, A. A. Reichardt, C. L. Romer, A. K. Sanchez, E. Scarpine, V. Serrano, S. Sevilla-Noarbe, I. Singh, P. Smith, M. Suchyta, E. Swanson, M. E. C. Tarle, G. Thomas, D. To, C. Weller, J. Wilkinson, R. D. Wu, H. 2021 https://dx.doi.org/10.48550/arxiv.2101.04984 https://arxiv.org/abs/2101.04984 unknown arXiv https://dx.doi.org/10.1093/mnras/stab869 arXiv.org perpetual, non-exclusive license http://arxiv.org/licenses/nonexclusive-distrib/1.0/ Cosmology and Nongalactic Astrophysics astro-ph.CO FOS Physical sciences article-journal Article ScholarlyArticle Text 2021 ftdatacite https://doi.org/10.48550/arxiv.2101.04984 https://doi.org/10.1093/mnras/stab869 2022-03-10T15:17:23Z 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. Of the 1005 redMaPPer selected clusters with measured richness $\hatλ>40$ in the joint footprint, 207 are confirmed by SPT-SZ. Using the mass information from the SZE signal, we calibrate the richness--mass relation using a Bayesian cluster population model. We find a mass trend $λ\propto M^{B}$ consistent with a linear relation ($B\sim1$), no significant redshift evolution and an intrinsic scatter in richness of $σ_λ = 0.22\pm0.06$. 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 $\hat λ=40$, this population makes up $>$12$\%$ (97.5 percentile) of the total population. Extrapolating this to a measured richness $\hat λ=20$ 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 presence of such a population is also a plausible explanation for the different mass trends ($B\sim0.75$) obtained from mass calibration using purely optically selected clusters. The mean mass from stacked weak lensing (WL) measurements suggests that these low mass contaminants are galaxy groups with masses $\sim3$-$5\times 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. : 20 pages, 16 figures Article in Journal/Newspaper South pole DataCite Metadata Store (German National Library of Science and Technology) South Pole
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
topic Cosmology and Nongalactic Astrophysics astro-ph.CO
FOS Physical sciences
spellingShingle Cosmology and Nongalactic Astrophysics astro-ph.CO
FOS Physical sciences
Grandis, S.
Mohr, J. J.
Costanzi, M.
Saro, A.
Bocquet, S.
Klein, M.
Aguena, M.
Allam, S.
Annis, J.
Ansarinejad, B.
Bacon, D.
Bertin, E.
Bleem, L.
Brooks, D.
Burke, D. L.
Rosel, A. Carnero
Kind, M. Carrasco
Carretero, J.
Castander, F. J.
Choi, A.
da Costa, L. N.
De Vincente, J.
Desai, S.
Diehl, H. T.
Dietrich, J. P.
Doel, P.
Eifler, T. F.
Everett, S.
Ferrero, I.
Floyd, B.
Fosalba, P.
Frieman, J.
García-Bellido, J.
Gaztanaga, E.
Gruen, D.
Gruendl, R. A.
Gschwend, J.
Gupta, N.
Gutierrez, G.
Hinton, S. R.
Hollowood, D. L.
Honscheid, K.
James, D. J.
Jeltema, T.
Kuehn, K.
Lahav, O.
Lidman, C.
Lima, M.
Maia, M. A. G.
March, M.
Marshall, J. L.
Melchior, P.
Menanteau, F.
Miquel, R.
Morgan, R.
Myles, J.
Ogando, R.
Palmese, A.
Paz-Chinchón, F.
Plazas, A. A.
Reichardt, C. L.
Romer, A. K.
Sanchez, E.
Scarpine, V.
Serrano, S.
Sevilla-Noarbe, I.
Singh, P.
Smith, M.
Suchyta, E.
Swanson, M. E. C.
Tarle, G.
Thomas, D.
To, C.
Weller, J.
Wilkinson, R. D.
Wu, H.
Exploring the contamination of the DES-Y1 Cluster Sample with SPT-SZ selected clusters
topic_facet Cosmology and Nongalactic Astrophysics astro-ph.CO
FOS Physical sciences
description 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. Of the 1005 redMaPPer selected clusters with measured richness $\hatλ>40$ in the joint footprint, 207 are confirmed by SPT-SZ. Using the mass information from the SZE signal, we calibrate the richness--mass relation using a Bayesian cluster population model. We find a mass trend $λ\propto M^{B}$ consistent with a linear relation ($B\sim1$), no significant redshift evolution and an intrinsic scatter in richness of $σ_λ = 0.22\pm0.06$. 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 $\hat λ=40$, this population makes up $>$12$\%$ (97.5 percentile) of the total population. Extrapolating this to a measured richness $\hat λ=20$ 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 presence of such a population is also a plausible explanation for the different mass trends ($B\sim0.75$) obtained from mass calibration using purely optically selected clusters. The mean mass from stacked weak lensing (WL) measurements suggests that these low mass contaminants are galaxy groups with masses $\sim3$-$5\times 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. : 20 pages, 16 figures
format Article in Journal/Newspaper
author Grandis, S.
Mohr, J. J.
Costanzi, M.
Saro, A.
Bocquet, S.
Klein, M.
Aguena, M.
Allam, S.
Annis, J.
Ansarinejad, B.
Bacon, D.
Bertin, E.
Bleem, L.
Brooks, D.
Burke, D. L.
Rosel, A. Carnero
Kind, M. Carrasco
Carretero, J.
Castander, F. J.
Choi, A.
da Costa, L. N.
De Vincente, J.
Desai, S.
Diehl, H. T.
Dietrich, J. P.
Doel, P.
Eifler, T. F.
Everett, S.
Ferrero, I.
Floyd, B.
Fosalba, P.
Frieman, J.
García-Bellido, J.
Gaztanaga, E.
Gruen, D.
Gruendl, R. A.
Gschwend, J.
Gupta, N.
Gutierrez, G.
Hinton, S. R.
Hollowood, D. L.
Honscheid, K.
James, D. J.
Jeltema, T.
Kuehn, K.
Lahav, O.
Lidman, C.
Lima, M.
Maia, M. A. G.
March, M.
Marshall, J. L.
Melchior, P.
Menanteau, F.
Miquel, R.
Morgan, R.
Myles, J.
Ogando, R.
Palmese, A.
Paz-Chinchón, F.
Plazas, A. A.
Reichardt, C. L.
Romer, A. K.
Sanchez, E.
Scarpine, V.
Serrano, S.
Sevilla-Noarbe, I.
Singh, P.
Smith, M.
Suchyta, E.
Swanson, M. E. C.
Tarle, G.
Thomas, D.
To, C.
Weller, J.
Wilkinson, R. D.
Wu, H.
author_facet Grandis, S.
Mohr, J. J.
Costanzi, M.
Saro, A.
Bocquet, S.
Klein, M.
Aguena, M.
Allam, S.
Annis, J.
Ansarinejad, B.
Bacon, D.
Bertin, E.
Bleem, L.
Brooks, D.
Burke, D. L.
Rosel, A. Carnero
Kind, M. Carrasco
Carretero, J.
Castander, F. J.
Choi, A.
da Costa, L. N.
De Vincente, J.
Desai, S.
Diehl, H. T.
Dietrich, J. P.
Doel, P.
Eifler, T. F.
Everett, S.
Ferrero, I.
Floyd, B.
Fosalba, P.
Frieman, J.
García-Bellido, J.
Gaztanaga, E.
Gruen, D.
Gruendl, R. A.
Gschwend, J.
Gupta, N.
Gutierrez, G.
Hinton, S. R.
Hollowood, D. L.
Honscheid, K.
James, D. J.
Jeltema, T.
Kuehn, K.
Lahav, O.
Lidman, C.
Lima, M.
Maia, M. A. G.
March, M.
Marshall, J. L.
Melchior, P.
Menanteau, F.
Miquel, R.
Morgan, R.
Myles, J.
Ogando, R.
Palmese, A.
Paz-Chinchón, F.
Plazas, A. A.
Reichardt, C. L.
Romer, A. K.
Sanchez, E.
Scarpine, V.
Serrano, S.
Sevilla-Noarbe, I.
Singh, P.
Smith, M.
Suchyta, E.
Swanson, M. E. C.
Tarle, G.
Thomas, D.
To, C.
Weller, J.
Wilkinson, R. D.
Wu, H.
author_sort Grandis, S.
title Exploring the contamination of the DES-Y1 Cluster Sample with SPT-SZ selected clusters
title_short Exploring the contamination of the DES-Y1 Cluster Sample with SPT-SZ selected clusters
title_full Exploring the contamination of the DES-Y1 Cluster Sample with SPT-SZ selected clusters
title_fullStr Exploring the contamination of the DES-Y1 Cluster Sample with SPT-SZ selected clusters
title_full_unstemmed Exploring the contamination of the DES-Y1 Cluster Sample with SPT-SZ selected clusters
title_sort exploring the contamination of the des-y1 cluster sample with spt-sz selected clusters
publisher arXiv
publishDate 2021
url https://dx.doi.org/10.48550/arxiv.2101.04984
https://arxiv.org/abs/2101.04984
geographic South Pole
geographic_facet South Pole
genre South pole
genre_facet South pole
op_relation https://dx.doi.org/10.1093/mnras/stab869
op_rights arXiv.org perpetual, non-exclusive license
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
op_doi https://doi.org/10.48550/arxiv.2101.04984
https://doi.org/10.1093/mnras/stab869
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