Exploring the contamination of the DES-Y1 cluster sample with SPT-SZ selected clusters

We perform a cross validation of the cluster catalogue 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 catalogue from the South Pole Telesco...

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Published in:Monthly Notices of the Royal Astronomical Society
Main Authors: Grandis, S., Mohr, 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., Rosel, A., Kind, M., Carretero, J., Castander, F., Choi, A., da Costa, L., Vincente, J., Desai, S., Diehl, H., Dietrich, J., Doel, P., Eifler, T., Everett, S., Ferrero, I., Floyd, B., Fosalba, P., Frieman, J., Garcıa-Bellido, J., Gaztanaga, E., Gruen, D., Gruendl, R., Gschwend, J., Gupta, N., Gutierrez, G., Hinton, S., Hollowood, D., Honscheid, K., James, D., Jeltema, T., Kuehn, K., Lahav, O., Lidman, C., Lima, M., Maia, M., March, M., Marshall, J., Melchior, P., Menanteau, F., Miquel, R., Morgan, R., Myles, J., Ogando, R., Palmese, A., Paz-Chinchon, F., Plazas, A., Reichardt, C., Romer, A., Sanchez, E., Scarpine, V., Serrano, S., Sevilla-Noarbe, I., Singh, P., Smith, M., Suchyta, E., Swanson, M., Tarle, G., Thomas, D., To, C., Weller, J., Wilkinson, R., Wu, H.
Format: Article in Journal/Newspaper
Language:English
Published: 2021
Subjects:
Online Access:http://hdl.handle.net/21.11116/0000-0009-29DC-2
http://hdl.handle.net/21.11116/0000-0009-29DE-0
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spelling ftpubman:oai:pure.mpg.de:item_3341225 2023-08-27T04:12:07+02:00 Exploring the contamination of the DES-Y1 cluster sample with SPT-SZ selected clusters Grandis, S. Mohr, 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. Rosel, A. Kind, M. Carretero, J. Castander, F. Choi, A. da Costa, L. Vincente, J. Desai, S. Diehl, H. Dietrich, J. Doel, P. Eifler, T. Everett, S. Ferrero, I. Floyd, B. Fosalba, P. Frieman, J. Garcıa-Bellido, J. Gaztanaga, E. Gruen, D. Gruendl, R. Gschwend, J. Gupta, N. Gutierrez, G. Hinton, S. Hollowood, D. Honscheid, K. James, D. Jeltema, T. Kuehn, K. Lahav, O. Lidman, C. Lima, M. Maia, M. March, M. Marshall, J. Melchior, P. Menanteau, F. Miquel, R. Morgan, R. Myles, J. Ogando, R. Palmese, A. Paz-Chinchon, F. Plazas, A. Reichardt, C. Romer, A. Sanchez, E. Scarpine, V. Serrano, S. Sevilla-Noarbe, I. Singh, P. Smith, M. Suchyta, E. Swanson, M. Tarle, G. Thomas, D. To, C. Weller, J. Wilkinson, R. Wu, H. 2021-03-25 application/pdf http://hdl.handle.net/21.11116/0000-0009-29DC-2 http://hdl.handle.net/21.11116/0000-0009-29DE-0 eng eng info:eu-repo/semantics/altIdentifier/doi/10.1093/mnras/stab869 http://hdl.handle.net/21.11116/0000-0009-29DC-2 http://hdl.handle.net/21.11116/0000-0009-29DE-0 info:eu-repo/semantics/closedAccess Monthly Notices of the Royal Astronomical Society info:eu-repo/semantics/article 2021 ftpubman https://doi.org/10.1093/mnras/stab869 2023-08-02T00:43:43Z We perform a cross validation of the cluster catalogue 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 catalogue from the South Pole Telescope SPT-SZ survey. Of the 1005 redMaPPer selected clusters with measured richness λ^>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 ∝ M B consistent with a linear relation (B ∼ 1), no significant redshift evolution and an intrinsic scatter in richness of σ λ = 0.22 ± 0.06. 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 λ^=40, this population makes up >12 per cent (97.5 percentile) of the total population. Extrapolating this to a measured richness λ^=20 yields >22 per cent (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 ∼ 0.75) 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 ∼3–5 × 10 13 M ⊙ 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 Max Planck Society: MPG.PuRe South Pole Monthly Notices of the Royal Astronomical Society 504 1 1253 1272
institution Open Polar
collection Max Planck Society: MPG.PuRe
op_collection_id ftpubman
language English
description We perform a cross validation of the cluster catalogue 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 catalogue from the South Pole Telescope SPT-SZ survey. Of the 1005 redMaPPer selected clusters with measured richness λ^>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 ∝ M B consistent with a linear relation (B ∼ 1), no significant redshift evolution and an intrinsic scatter in richness of σ λ = 0.22 ± 0.06. 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 λ^=40, this population makes up >12 per cent (97.5 percentile) of the total population. Extrapolating this to a measured richness λ^=20 yields >22 per cent (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 ∼ 0.75) 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 ∼3–5 × 10 13 M ⊙ which are beyond the sensitivity of current SZE and X-ray surveys but a natural target for SPT-3G and eROSITA.
format Article in Journal/Newspaper
author Grandis, S.
Mohr, 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.
Rosel, A.
Kind, M.
Carretero, J.
Castander, F.
Choi, A.
da Costa, L.
Vincente, J.
Desai, S.
Diehl, H.
Dietrich, J.
Doel, P.
Eifler, T.
Everett, S.
Ferrero, I.
Floyd, B.
Fosalba, P.
Frieman, J.
Garcıa-Bellido, J.
Gaztanaga, E.
Gruen, D.
Gruendl, R.
Gschwend, J.
Gupta, N.
Gutierrez, G.
Hinton, S.
Hollowood, D.
Honscheid, K.
James, D.
Jeltema, T.
Kuehn, K.
Lahav, O.
Lidman, C.
Lima, M.
Maia, M.
March, M.
Marshall, J.
Melchior, P.
Menanteau, F.
Miquel, R.
Morgan, R.
Myles, J.
Ogando, R.
Palmese, A.
Paz-Chinchon, F.
Plazas, A.
Reichardt, C.
Romer, A.
Sanchez, E.
Scarpine, V.
Serrano, S.
Sevilla-Noarbe, I.
Singh, P.
Smith, M.
Suchyta, E.
Swanson, M.
Tarle, G.
Thomas, D.
To, C.
Weller, J.
Wilkinson, R.
Wu, H.
spellingShingle Grandis, S.
Mohr, 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.
Rosel, A.
Kind, M.
Carretero, J.
Castander, F.
Choi, A.
da Costa, L.
Vincente, J.
Desai, S.
Diehl, H.
Dietrich, J.
Doel, P.
Eifler, T.
Everett, S.
Ferrero, I.
Floyd, B.
Fosalba, P.
Frieman, J.
Garcıa-Bellido, J.
Gaztanaga, E.
Gruen, D.
Gruendl, R.
Gschwend, J.
Gupta, N.
Gutierrez, G.
Hinton, S.
Hollowood, D.
Honscheid, K.
James, D.
Jeltema, T.
Kuehn, K.
Lahav, O.
Lidman, C.
Lima, M.
Maia, M.
March, M.
Marshall, J.
Melchior, P.
Menanteau, F.
Miquel, R.
Morgan, R.
Myles, J.
Ogando, R.
Palmese, A.
Paz-Chinchon, F.
Plazas, A.
Reichardt, C.
Romer, A.
Sanchez, E.
Scarpine, V.
Serrano, S.
Sevilla-Noarbe, I.
Singh, P.
Smith, M.
Suchyta, E.
Swanson, M.
Tarle, G.
Thomas, D.
To, C.
Weller, J.
Wilkinson, R.
Wu, H.
Exploring the contamination of the DES-Y1 cluster sample with SPT-SZ selected clusters
author_facet Grandis, S.
Mohr, 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.
Rosel, A.
Kind, M.
Carretero, J.
Castander, F.
Choi, A.
da Costa, L.
Vincente, J.
Desai, S.
Diehl, H.
Dietrich, J.
Doel, P.
Eifler, T.
Everett, S.
Ferrero, I.
Floyd, B.
Fosalba, P.
Frieman, J.
Garcıa-Bellido, J.
Gaztanaga, E.
Gruen, D.
Gruendl, R.
Gschwend, J.
Gupta, N.
Gutierrez, G.
Hinton, S.
Hollowood, D.
Honscheid, K.
James, D.
Jeltema, T.
Kuehn, K.
Lahav, O.
Lidman, C.
Lima, M.
Maia, M.
March, M.
Marshall, J.
Melchior, P.
Menanteau, F.
Miquel, R.
Morgan, R.
Myles, J.
Ogando, R.
Palmese, A.
Paz-Chinchon, F.
Plazas, A.
Reichardt, C.
Romer, A.
Sanchez, E.
Scarpine, V.
Serrano, S.
Sevilla-Noarbe, I.
Singh, P.
Smith, M.
Suchyta, E.
Swanson, M.
Tarle, G.
Thomas, D.
To, C.
Weller, J.
Wilkinson, R.
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/21.11116/0000-0009-29DC-2
http://hdl.handle.net/21.11116/0000-0009-29DE-0
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