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...
Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
---|---|
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 |
_version_ |
1766202824556806144 |