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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Main Authors: Grandis, S, Mohr, JJ, 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, DL, Rosel, AC, Kind, MC, Carretero, J, Castander, FJ, Choi, A, da Costa, LN, De Vincente, J, Desai, S, Diehl, HT, Dietrich, JP, Doel, P, Eifler, TF, Everett, S, Ferrero, I, Floyd, B, Fosalba, P, Frieman, J, Garcia-Bellido, J, Gaztanaga, E, Gruen, D, Gruendl, RA, Gschwend, J, Gupta, N, Gutierrez, G, Hinton, SR, Hollowood, DL, Honscheid, K, James, DJ, Jeltema, T, Kuehn, K, Lahav, O, Lidman, C, Lima, M, Maia, MAG, March, M, Marshall, JL, Melchior, P, Menanteau, F, Miquel, R, Morgan, R, Myles, J, Ogando, R, Palmese, A, Paz-Chinchon, F, Plazas, AA, Reichardt, CL, Romer, AK, Sanchez, E, Scarpine, V, Serrano, S, Sevilla-Noarbe, I, Singh, P, Smith, M, Suchyta, E, Swanson, MEC, Tarle, G, Thomas, D, To, C, Weller, J, Wilkinson, RD, Wu, H
Format: Article in Journal/Newspaper
Language:English
Published: OXFORD UNIV PRESS 2021
Subjects:
Online Access:https://discovery.ucl.ac.uk/id/eprint/10129944/1/stab869.pdf
https://discovery.ucl.ac.uk/id/eprint/10129944/
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spelling ftucl:oai:eprints.ucl.ac.uk.OAI2:10129944 2023-12-24T10:24:57+01:00 Exploring the contamination of the DES-Y1 cluster sample with SPT-SZ selected clusters Grandis, S Mohr, JJ 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, DL Rosel, AC Kind, MC Carretero, J Castander, FJ Choi, A da Costa, LN De Vincente, J Desai, S Diehl, HT Dietrich, JP Doel, P Eifler, TF Everett, S Ferrero, I Floyd, B Fosalba, P Frieman, J Garcia-Bellido, J Gaztanaga, E Gruen, D Gruendl, RA Gschwend, J Gupta, N Gutierrez, G Hinton, SR Hollowood, DL Honscheid, K James, DJ Jeltema, T Kuehn, K Lahav, O Lidman, C Lima, M Maia, MAG March, M Marshall, JL Melchior, P Menanteau, F Miquel, R Morgan, R Myles, J Ogando, R Palmese, A Paz-Chinchon, F Plazas, AA Reichardt, CL Romer, AK Sanchez, E Scarpine, V Serrano, S Sevilla-Noarbe, I Singh, P Smith, M Suchyta, E Swanson, MEC Tarle, G Thomas, D To, C Weller, J Wilkinson, RD Wu, H 2021-06-01 text https://discovery.ucl.ac.uk/id/eprint/10129944/1/stab869.pdf https://discovery.ucl.ac.uk/id/eprint/10129944/ eng eng OXFORD UNIV PRESS https://discovery.ucl.ac.uk/id/eprint/10129944/1/stab869.pdf https://discovery.ucl.ac.uk/id/eprint/10129944/ open Monthly Notices of the Royal Astronomical Society , 504 (1) pp. 1253-1272. (2021) Article 2021 ftucl 2023-11-27T13:07:29Z 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 λ̂ >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 ∝ MB consistent with a linear relation (B ∼ 1), no significant redshift evolution and an intrinsic scatter in richness of σλ = 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 λ̂ =40 , this population makes up >12 per cent (97.5 percentile) of the total population. Extrapolating this to a measured richness λ̂ =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 × 1013 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 University College London: UCL Discovery South Pole
institution Open Polar
collection University College London: UCL Discovery
op_collection_id ftucl
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 λ̂ >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 ∝ MB consistent with a linear relation (B ∼ 1), no significant redshift evolution and an intrinsic scatter in richness of σλ = 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 λ̂ =40 , this population makes up >12 per cent (97.5 percentile) of the total population. Extrapolating this to a measured richness λ̂ =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 × 1013 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, JJ
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, DL
Rosel, AC
Kind, MC
Carretero, J
Castander, FJ
Choi, A
da Costa, LN
De Vincente, J
Desai, S
Diehl, HT
Dietrich, JP
Doel, P
Eifler, TF
Everett, S
Ferrero, I
Floyd, B
Fosalba, P
Frieman, J
Garcia-Bellido, J
Gaztanaga, E
Gruen, D
Gruendl, RA
Gschwend, J
Gupta, N
Gutierrez, G
Hinton, SR
Hollowood, DL
Honscheid, K
James, DJ
Jeltema, T
Kuehn, K
Lahav, O
Lidman, C
Lima, M
Maia, MAG
March, M
Marshall, JL
Melchior, P
Menanteau, F
Miquel, R
Morgan, R
Myles, J
Ogando, R
Palmese, A
Paz-Chinchon, F
Plazas, AA
Reichardt, CL
Romer, AK
Sanchez, E
Scarpine, V
Serrano, S
Sevilla-Noarbe, I
Singh, P
Smith, M
Suchyta, E
Swanson, MEC
Tarle, G
Thomas, D
To, C
Weller, J
Wilkinson, RD
Wu, H
spellingShingle Grandis, S
Mohr, JJ
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, DL
Rosel, AC
Kind, MC
Carretero, J
Castander, FJ
Choi, A
da Costa, LN
De Vincente, J
Desai, S
Diehl, HT
Dietrich, JP
Doel, P
Eifler, TF
Everett, S
Ferrero, I
Floyd, B
Fosalba, P
Frieman, J
Garcia-Bellido, J
Gaztanaga, E
Gruen, D
Gruendl, RA
Gschwend, J
Gupta, N
Gutierrez, G
Hinton, SR
Hollowood, DL
Honscheid, K
James, DJ
Jeltema, T
Kuehn, K
Lahav, O
Lidman, C
Lima, M
Maia, MAG
March, M
Marshall, JL
Melchior, P
Menanteau, F
Miquel, R
Morgan, R
Myles, J
Ogando, R
Palmese, A
Paz-Chinchon, F
Plazas, AA
Reichardt, CL
Romer, AK
Sanchez, E
Scarpine, V
Serrano, S
Sevilla-Noarbe, I
Singh, P
Smith, M
Suchyta, E
Swanson, MEC
Tarle, G
Thomas, D
To, C
Weller, J
Wilkinson, RD
Wu, H
Exploring the contamination of the DES-Y1 cluster sample with SPT-SZ selected clusters
author_facet Grandis, S
Mohr, JJ
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, DL
Rosel, AC
Kind, MC
Carretero, J
Castander, FJ
Choi, A
da Costa, LN
De Vincente, J
Desai, S
Diehl, HT
Dietrich, JP
Doel, P
Eifler, TF
Everett, S
Ferrero, I
Floyd, B
Fosalba, P
Frieman, J
Garcia-Bellido, J
Gaztanaga, E
Gruen, D
Gruendl, RA
Gschwend, J
Gupta, N
Gutierrez, G
Hinton, SR
Hollowood, DL
Honscheid, K
James, DJ
Jeltema, T
Kuehn, K
Lahav, O
Lidman, C
Lima, M
Maia, MAG
March, M
Marshall, JL
Melchior, P
Menanteau, F
Miquel, R
Morgan, R
Myles, J
Ogando, R
Palmese, A
Paz-Chinchon, F
Plazas, AA
Reichardt, CL
Romer, AK
Sanchez, E
Scarpine, V
Serrano, S
Sevilla-Noarbe, I
Singh, P
Smith, M
Suchyta, E
Swanson, MEC
Tarle, G
Thomas, D
To, C
Weller, J
Wilkinson, RD
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 OXFORD UNIV PRESS
publishDate 2021
url https://discovery.ucl.ac.uk/id/eprint/10129944/1/stab869.pdf
https://discovery.ucl.ac.uk/id/eprint/10129944/
geographic South Pole
geographic_facet South Pole
genre South pole
genre_facet South pole
op_source Monthly Notices of the Royal Astronomical Society , 504 (1) pp. 1253-1272. (2021)
op_relation https://discovery.ucl.ac.uk/id/eprint/10129944/1/stab869.pdf
https://discovery.ucl.ac.uk/id/eprint/10129944/
op_rights open
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