Exploring the contamination of the DES-Y1 cluster sample with SPT-SZ selected clusters
International audience 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...
Published in: | Monthly Notices of the Royal Astronomical Society |
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Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Format: | Article in Journal/Newspaper |
Language: | English |
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HAL CCSD
2021
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Online Access: | https://insu.hal.science/insu-03748203 https://insu.hal.science/insu-03748203/document https://insu.hal.science/insu-03748203/file/stab869.pdf https://doi.org/10.1093/mnras/stab869 |
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methods: statistical galaxies: clusters: general large-scale structure of Universe Astrophysics - Cosmology and Nongalactic Astrophysics [SDU]Sciences of the Universe [physics] [SDU.ASTR]Sciences of the Universe [physics]/Astrophysics [astro-ph] |
spellingShingle |
methods: statistical galaxies: clusters: general large-scale structure of Universe Astrophysics - Cosmology and Nongalactic Astrophysics [SDU]Sciences of the Universe [physics] [SDU.ASTR]Sciences of the Universe [physics]/Astrophysics [astro-ph] 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 |
methods: statistical galaxies: clusters: general large-scale structure of Universe Astrophysics - Cosmology and Nongalactic Astrophysics [SDU]Sciences of the Universe [physics] [SDU.ASTR]Sciences of the Universe [physics]/Astrophysics [astro-ph] |
description |
International audience 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 $\hat{\lambda } 40$ 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 $\hat{\lambda }=40$, this population makes up ${}12{{\ \rm per\ cent}}$ (97.5 percentile) of the total population. Extrapolating this to a measured richness $\hat{\lambda }=20$ yields ${}22{{\ \rm per\ cent}}$ (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 ... |
author2 |
Institut d'Astrophysique de Paris (IAP) Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS) |
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 |
publisher |
HAL CCSD |
publishDate |
2021 |
url |
https://insu.hal.science/insu-03748203 https://insu.hal.science/insu-03748203/document https://insu.hal.science/insu-03748203/file/stab869.pdf https://doi.org/10.1093/mnras/stab869 |
genre |
South pole |
genre_facet |
South pole |
op_source |
ISSN: 0035-8711 EISSN: 1365-2966 Monthly Notices of the Royal Astronomical Society https://insu.hal.science/insu-03748203 Monthly Notices of the Royal Astronomical Society, 2021, 504, pp.1253-1272. ⟨10.1093/mnras/stab869⟩ |
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info:eu-repo/semantics/altIdentifier/arxiv/2101.04984 info:eu-repo/semantics/altIdentifier/doi/10.1093/mnras/stab869 insu-03748203 https://insu.hal.science/insu-03748203 https://insu.hal.science/insu-03748203/document https://insu.hal.science/insu-03748203/file/stab869.pdf ARXIV: 2101.04984 BIBCODE: 2021MNRAS.504.1253G doi:10.1093/mnras/stab869 |
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info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.1093/mnras/stab869 |
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Monthly Notices of the Royal Astronomical Society |
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1253 |
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1272 |
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ftccsdartic:oai:HAL:insu-03748203v1 2023-11-05T03:45:08+01:00 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. Institut d'Astrophysique de Paris (IAP) Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS) 2021 https://insu.hal.science/insu-03748203 https://insu.hal.science/insu-03748203/document https://insu.hal.science/insu-03748203/file/stab869.pdf https://doi.org/10.1093/mnras/stab869 en eng HAL CCSD Oxford University Press (OUP): Policy P - Oxford Open Option A info:eu-repo/semantics/altIdentifier/arxiv/2101.04984 info:eu-repo/semantics/altIdentifier/doi/10.1093/mnras/stab869 insu-03748203 https://insu.hal.science/insu-03748203 https://insu.hal.science/insu-03748203/document https://insu.hal.science/insu-03748203/file/stab869.pdf ARXIV: 2101.04984 BIBCODE: 2021MNRAS.504.1253G doi:10.1093/mnras/stab869 info:eu-repo/semantics/OpenAccess ISSN: 0035-8711 EISSN: 1365-2966 Monthly Notices of the Royal Astronomical Society https://insu.hal.science/insu-03748203 Monthly Notices of the Royal Astronomical Society, 2021, 504, pp.1253-1272. ⟨10.1093/mnras/stab869⟩ methods: statistical galaxies: clusters: general large-scale structure of Universe Astrophysics - Cosmology and Nongalactic Astrophysics [SDU]Sciences of the Universe [physics] [SDU.ASTR]Sciences of the Universe [physics]/Astrophysics [astro-ph] info:eu-repo/semantics/article Journal articles 2021 ftccsdartic https://doi.org/10.1093/mnras/stab869 2023-10-07T22:58:48Z International audience 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 $\hat{\lambda } 40$ 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 $\hat{\lambda }=40$, this population makes up ${}12{{\ \rm per\ cent}}$ (97.5 percentile) of the total population. Extrapolating this to a measured richness $\hat{\lambda }=20$ yields ${}22{{\ \rm per\ cent}}$ (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 ... Article in Journal/Newspaper South pole Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) Monthly Notices of the Royal Astronomical Society 504 1 1253 1272 |