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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Published in:Monthly Notices of the Royal Astronomical Society
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., Carnero Rosel, A., Carrasco Kind, M., 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:English
Published: 2021
Subjects:
Online Access:http://hdl.handle.net/11368/2988336
https://doi.org/10.1093/mnras/stab869
https://academic.oup.com/mnras/article/504/1/1253/6188380
id ftunitriestiris:oai:arts.units.it:11368/2988336
record_format openpolar
institution Open Polar
collection Università degli studi di Trieste: ArTS (Archivio della ricerca di Trieste)
op_collection_id ftunitriestiris
language English
topic large-scale structure of Universe
methods: statistical
galaxies: clusters: general
Astrophysics - Cosmology and Nongalactic Astrophysics
spellingShingle large-scale structure of Universe
methods: statistical
galaxies: clusters: general
Astrophysics - Cosmology and Nongalactic Astrophysics
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.
Carnero Rosel, A.
Carrasco Kind, M.
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 large-scale structure of Universe
methods: statistical
galaxies: clusters: general
Astrophysics - Cosmology and Nongalactic Astrophysics
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. 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.
author2 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.
Carnero Rosel, A.
Carrasco Kind, M.
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.
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.
Carnero Rosel, A.
Carrasco Kind, M.
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.
Carnero Rosel, A.
Carrasco Kind, M.
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
publishDate 2021
url http://hdl.handle.net/11368/2988336
https://doi.org/10.1093/mnras/stab869
https://academic.oup.com/mnras/article/504/1/1253/6188380
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journal:MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
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spelling ftunitriestiris:oai:arts.units.it:11368/2988336 2023-05-15T18:23:03+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. Carnero Rosel, A. Carrasco Kind, M. 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. 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. Carnero Rosel, A. Carrasco Kind, M. 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. 2021 http://hdl.handle.net/11368/2988336 https://doi.org/10.1093/mnras/stab869 https://academic.oup.com/mnras/article/504/1/1253/6188380 eng eng info:eu-repo/semantics/altIdentifier/wos/WOS:000656137100090 issue:504 firstpage:1253 lastpage:1272 numberofpages:20 journal:MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY http://hdl.handle.net/11368/2988336 doi:10.1093/mnras/stab869 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85107849742 https://academic.oup.com/mnras/article/504/1/1253/6188380 info:eu-repo/semantics/openAccess large-scale structure of Universe methods: statistical galaxies: clusters: general Astrophysics - Cosmology and Nongalactic Astrophysics info:eu-repo/semantics/article 2021 ftunitriestiris https://doi.org/10.1093/mnras/stab869 2023-04-09T06:19:46Z 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. Article in Journal/Newspaper South pole Università degli studi di Trieste: ArTS (Archivio della ricerca di Trieste) Lambda ENVELOPE(-62.983,-62.983,-64.300,-64.300) South Pole Monthly Notices of the Royal Astronomical Society 504 1 1253 1272