SPT Clusters with DES and HST Weak Lensing. I. Cluster Lensing and Bayesian Population Modeling of Multi-Wavelength Cluster Datasets ...

We present a Bayesian population modeling method to analyze the abundance of galaxy clusters identified by the South Pole Telescope (SPT) with a simultaneous mass calibration using weak gravitational lensing data from the Dark Energy Survey (DES) and the Hubble Space Telescope (HST). We discuss and...

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Main Authors: Bocquet, S., Grandis, S., Bleem, L. E., Klein, M., Mohr, J. J., Aguena, M., Alarcon, A., Allam, S., Allen, S. W., Alves, O., Amon, A., Ansarinejad, B., Bacon, D., Bayliss, M., Bechtol, K., Becker, M. R., Benson, B. A., Bernstein, G. M., Brodwin, M., Brooks, D., Campos, A., Canning, R. E. A., Carlstrom, J. E., Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J., Cawthon, R., Chang, C., Chen, R., Choi, A., Cordero, J., Costanzi, M., da Costa, L. N., Pereira, M. E. S., Davis, C., de Haan, T., DeRose, J., Desai, S., Diehl, H. T., Dodelson, S., Doel, P., Doux, C., Drlica-Wagner, A., Eckert, K., Elvin-Poole, J., Everett, S., Ferrero, I., Ferté, A., Flores, A. M., Frieman, J.
Format: Report
Language:unknown
Published: arXiv 2023
Subjects:
Online Access:https://dx.doi.org/10.48550/arxiv.2310.12213
https://arxiv.org/abs/2310.12213
id ftdatacite:10.48550/arxiv.2310.12213
record_format openpolar
spelling ftdatacite:10.48550/arxiv.2310.12213 2024-09-09T20:09:06+00:00 SPT Clusters with DES and HST Weak Lensing. I. Cluster Lensing and Bayesian Population Modeling of Multi-Wavelength Cluster Datasets ... Bocquet, S. Grandis, S. Bleem, L. E. Klein, M. Mohr, J. J. Aguena, M. Alarcon, A. Allam, S. Allen, S. W. Alves, O. Amon, A. Ansarinejad, B. Bacon, D. Bayliss, M. Bechtol, K. Becker, M. R. Benson, B. A. Bernstein, G. M. Brodwin, M. Brooks, D. Campos, A. Canning, R. E. A. Carlstrom, J. E. Rosell, A. Carnero Kind, M. Carrasco Carretero, J. Cawthon, R. Chang, C. Chen, R. Choi, A. Cordero, J. Costanzi, M. da Costa, L. N. Pereira, M. E. S. Davis, C. de Haan, T. DeRose, J. Desai, S. Diehl, H. T. Dodelson, S. Doel, P. Doux, C. Drlica-Wagner, A. Eckert, K. Elvin-Poole, J. Everett, S. Ferrero, I. Ferté, A. Flores, A. M. Frieman, J. 2023 https://dx.doi.org/10.48550/arxiv.2310.12213 https://arxiv.org/abs/2310.12213 unknown arXiv 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 Preprint article CreativeWork 2023 ftdatacite https://doi.org/10.48550/arxiv.2310.12213 2024-07-03T12:57:07Z We present a Bayesian population modeling method to analyze the abundance of galaxy clusters identified by the South Pole Telescope (SPT) with a simultaneous mass calibration using weak gravitational lensing data from the Dark Energy Survey (DES) and the Hubble Space Telescope (HST). We discuss and validate the modeling choices with a particular focus on a robust, weak-lensing-based mass calibration using DES data. For the DES Year 3 data, we report a systematic uncertainty in weak-lensing mass calibration that increases from 1% at $z=0.25$ to 10% at $z=0.95$, to which we add 2% in quadrature to account for uncertainties in the impact of baryonic effects. We implement an analysis pipeline that joins the cluster abundance likelihood with a multi-observable likelihood for the Sunyaev-Zel'dovich effect, optical richness, and weak-lensing measurements for each individual cluster. We validate that our analysis pipeline can recover unbiased cosmological constraints by analyzing mocks that closely resemble the ... : Accepted for publication in Phys. Rev. D. arXiv v2 corresponds to published article ... Report South pole DataCite Hubble ENVELOPE(158.317,158.317,-80.867,-80.867) South Pole
institution Open Polar
collection DataCite
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
Bocquet, S.
Grandis, S.
Bleem, L. E.
Klein, M.
Mohr, J. J.
Aguena, M.
Alarcon, A.
Allam, S.
Allen, S. W.
Alves, O.
Amon, A.
Ansarinejad, B.
Bacon, D.
Bayliss, M.
Bechtol, K.
Becker, M. R.
Benson, B. A.
Bernstein, G. M.
Brodwin, M.
Brooks, D.
Campos, A.
Canning, R. E. A.
Carlstrom, J. E.
Rosell, A. Carnero
Kind, M. Carrasco
Carretero, J.
Cawthon, R.
Chang, C.
Chen, R.
Choi, A.
Cordero, J.
Costanzi, M.
da Costa, L. N.
Pereira, M. E. S.
Davis, C.
de Haan, T.
DeRose, J.
Desai, S.
Diehl, H. T.
Dodelson, S.
Doel, P.
Doux, C.
Drlica-Wagner, A.
Eckert, K.
Elvin-Poole, J.
Everett, S.
Ferrero, I.
Ferté, A.
Flores, A. M.
Frieman, J.
SPT Clusters with DES and HST Weak Lensing. I. Cluster Lensing and Bayesian Population Modeling of Multi-Wavelength Cluster Datasets ...
topic_facet Cosmology and Nongalactic Astrophysics astro-ph.CO
FOS Physical sciences
description We present a Bayesian population modeling method to analyze the abundance of galaxy clusters identified by the South Pole Telescope (SPT) with a simultaneous mass calibration using weak gravitational lensing data from the Dark Energy Survey (DES) and the Hubble Space Telescope (HST). We discuss and validate the modeling choices with a particular focus on a robust, weak-lensing-based mass calibration using DES data. For the DES Year 3 data, we report a systematic uncertainty in weak-lensing mass calibration that increases from 1% at $z=0.25$ to 10% at $z=0.95$, to which we add 2% in quadrature to account for uncertainties in the impact of baryonic effects. We implement an analysis pipeline that joins the cluster abundance likelihood with a multi-observable likelihood for the Sunyaev-Zel'dovich effect, optical richness, and weak-lensing measurements for each individual cluster. We validate that our analysis pipeline can recover unbiased cosmological constraints by analyzing mocks that closely resemble the ... : Accepted for publication in Phys. Rev. D. arXiv v2 corresponds to published article ...
format Report
author Bocquet, S.
Grandis, S.
Bleem, L. E.
Klein, M.
Mohr, J. J.
Aguena, M.
Alarcon, A.
Allam, S.
Allen, S. W.
Alves, O.
Amon, A.
Ansarinejad, B.
Bacon, D.
Bayliss, M.
Bechtol, K.
Becker, M. R.
Benson, B. A.
Bernstein, G. M.
Brodwin, M.
Brooks, D.
Campos, A.
Canning, R. E. A.
Carlstrom, J. E.
Rosell, A. Carnero
Kind, M. Carrasco
Carretero, J.
Cawthon, R.
Chang, C.
Chen, R.
Choi, A.
Cordero, J.
Costanzi, M.
da Costa, L. N.
Pereira, M. E. S.
Davis, C.
de Haan, T.
DeRose, J.
Desai, S.
Diehl, H. T.
Dodelson, S.
Doel, P.
Doux, C.
Drlica-Wagner, A.
Eckert, K.
Elvin-Poole, J.
Everett, S.
Ferrero, I.
Ferté, A.
Flores, A. M.
Frieman, J.
author_facet Bocquet, S.
Grandis, S.
Bleem, L. E.
Klein, M.
Mohr, J. J.
Aguena, M.
Alarcon, A.
Allam, S.
Allen, S. W.
Alves, O.
Amon, A.
Ansarinejad, B.
Bacon, D.
Bayliss, M.
Bechtol, K.
Becker, M. R.
Benson, B. A.
Bernstein, G. M.
Brodwin, M.
Brooks, D.
Campos, A.
Canning, R. E. A.
Carlstrom, J. E.
Rosell, A. Carnero
Kind, M. Carrasco
Carretero, J.
Cawthon, R.
Chang, C.
Chen, R.
Choi, A.
Cordero, J.
Costanzi, M.
da Costa, L. N.
Pereira, M. E. S.
Davis, C.
de Haan, T.
DeRose, J.
Desai, S.
Diehl, H. T.
Dodelson, S.
Doel, P.
Doux, C.
Drlica-Wagner, A.
Eckert, K.
Elvin-Poole, J.
Everett, S.
Ferrero, I.
Ferté, A.
Flores, A. M.
Frieman, J.
author_sort Bocquet, S.
title SPT Clusters with DES and HST Weak Lensing. I. Cluster Lensing and Bayesian Population Modeling of Multi-Wavelength Cluster Datasets ...
title_short SPT Clusters with DES and HST Weak Lensing. I. Cluster Lensing and Bayesian Population Modeling of Multi-Wavelength Cluster Datasets ...
title_full SPT Clusters with DES and HST Weak Lensing. I. Cluster Lensing and Bayesian Population Modeling of Multi-Wavelength Cluster Datasets ...
title_fullStr SPT Clusters with DES and HST Weak Lensing. I. Cluster Lensing and Bayesian Population Modeling of Multi-Wavelength Cluster Datasets ...
title_full_unstemmed SPT Clusters with DES and HST Weak Lensing. I. Cluster Lensing and Bayesian Population Modeling of Multi-Wavelength Cluster Datasets ...
title_sort spt clusters with des and hst weak lensing. i. cluster lensing and bayesian population modeling of multi-wavelength cluster datasets ...
publisher arXiv
publishDate 2023
url https://dx.doi.org/10.48550/arxiv.2310.12213
https://arxiv.org/abs/2310.12213
long_lat ENVELOPE(158.317,158.317,-80.867,-80.867)
geographic Hubble
South Pole
geographic_facet Hubble
South Pole
genre South pole
genre_facet South pole
op_rights arXiv.org perpetual, non-exclusive license
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
op_doi https://doi.org/10.48550/arxiv.2310.12213
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