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Building an efficient cluster cosmology software package for modeling cluster counts and lensing

Building an efficient cluster cosmology software package for modeling cluster counts and lensing
Building an efficient cluster cosmology software package for modeling cluster counts and lensing
We introduce a software suite developed for galaxy cluster cosmological analysis with the Dark Energy Survey Data. Cosmological analyses based on galaxy cluster number counts and weak-lensing measurements need efficient software infrastructure to explore an increasingly large parameter space, and account for various cosmological and astrophysical effects. Our software package is designed to model the cluster observables in a wide-field optical survey, including galaxy cluster counts, their averaged weak-lensing masses, or the cluster's averaged weak-lensing radial signals. To ensure maximum efficiency, this software package is developed in C++ in the CosmoSIS software framework, making use of the CUBA integration library. We also implement a testing and validation scheme to ensure the quality of the package. We demonstrate the effectiveness of this development by applying the software to the Dark Energy Survey Year 1 galaxy cluster cosmological data sets, and acquired cosmological constraints that are consistent with the fiducial Dark Energy Survey analysis.
astro-ph.CO, astro-ph.IM
Aguena, M.
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Alves, O.
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Annis, J.
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Bacon, D.
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Bocquet, S.
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Brooks, D.
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Carnero Rosell, A.
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Chang, C.
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Costanzi, M.
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Coviello, C.
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Da Costa, L.N.
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Davis, T.M.
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De Vicente, J.
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Diehl, H.T.
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Doel, P.
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Esteves, J.
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Everett, S.
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Ferté, A.
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Friedel, D.
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Frieman, J.
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Gatti, M.
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Giannini, G.
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Gruen, D.
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Gruendl, R.A.
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Gutierrez, G.
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Herner, K.
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Hinton, S.R.
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Hollowood, D.L.
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Honscheid, K.
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James, D.J.
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Jeltema, T.
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Kirby, M.
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Kuehn, K.
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Lahav, O.
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Li, P.
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Marshall, J.L.
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McClintock, T.
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Mellor, D.
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Mena-Fernández, J.
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Miquel, R.
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O'Donnell, J.
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Palmese, A.
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Paterno, M.
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Pereira, M.E.S.
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Pieres, A.
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Plaszas Malagón, A.A.
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Rodriguez-Monroy, M.
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Romer, A.K.
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Roodman, A.
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Sanchez, E.
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Schubnell, M.
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Sevilla-Noarbe, I.
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Shin, T.
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Smith, M.
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Suchyta, E.
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Swanson, M.E.C.
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Tarle, G.
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Weller, J.
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Wiseman, P.
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Wu, H.-Y.
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Zhang, Y.
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Zhou, C.
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The Dark Energy Survey Collaboration
Aguena, M.
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Alves, O.
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Annis, J.
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Bacon, D.
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Bocquet, S.
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Brooks, D.
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Carnero Rosell, A.
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Chang, C.
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Costanzi, M.
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Coviello, C.
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Da Costa, L.N.
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Davis, T.M.
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De Vicente, J.
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Diehl, H.T.
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Doel, P.
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Esteves, J.
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Everett, S.
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Ferrero, I.
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Ferté, A.
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Friedel, D.
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Frieman, J.
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Gatti, M.
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Giannini, G.
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Gruen, D.
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Gruendl, R.A.
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Gutierrez, G.
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Herner, K.
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Hinton, S.R.
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Hollowood, D.L.
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Honscheid, K.
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James, D.J.
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Jeltema, T.
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Kirby, M.
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Kuehn, K.
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Lahav, O.
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Li, P.
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Marshall, J.L.
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McClintock, T.
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Mellor, D.
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Mena-Fernández, J.
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Miquel, R.
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O'Donnell, J.
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Palmese, A.
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Paterno, M.
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Pereira, M.E.S.
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Pieres, A.
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Plaszas Malagón, A.A.
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Rodriguez-Monroy, M.
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Romer, A.K.
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Roodman, A.
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Sanchez, E.
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Schubnell, M.
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Sevilla-Noarbe, I.
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Shin, T.
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Smith, M.
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Suchyta, E.
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Swanson, M.E.C.
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Tarle, G.
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Weller, J.
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Wiseman, P.
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Wu, H.-Y.
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Zhang, Y.
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Zhou, C.
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[Unknown type: UNSPECIFIED]

Record type: UNSPECIFIED

Abstract

We introduce a software suite developed for galaxy cluster cosmological analysis with the Dark Energy Survey Data. Cosmological analyses based on galaxy cluster number counts and weak-lensing measurements need efficient software infrastructure to explore an increasingly large parameter space, and account for various cosmological and astrophysical effects. Our software package is designed to model the cluster observables in a wide-field optical survey, including galaxy cluster counts, their averaged weak-lensing masses, or the cluster's averaged weak-lensing radial signals. To ensure maximum efficiency, this software package is developed in C++ in the CosmoSIS software framework, making use of the CUBA integration library. We also implement a testing and validation scheme to ensure the quality of the package. We demonstrate the effectiveness of this development by applying the software to the Dark Energy Survey Year 1 galaxy cluster cosmological data sets, and acquired cosmological constraints that are consistent with the fiducial Dark Energy Survey analysis.

Text
2309.06593v1 - Author's Original
Available under License Creative Commons Attribution.
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e-pub ahead of print date: 12 September 2023
Keywords: astro-ph.CO, astro-ph.IM

Identifiers

Local EPrints ID: 484161
URI: http://eprints.soton.ac.uk/id/eprint/484161
PURE UUID: 6b882717-55e3-4dc1-bb84-8aa1bee340f2
ORCID for M. Smith: ORCID iD orcid.org/0000-0002-3321-1432
ORCID for P. Wiseman: ORCID iD orcid.org/0000-0002-3073-1512

Catalogue record

Date deposited: 10 Nov 2023 18:12
Last modified: 18 Mar 2024 03:43

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Contributors

Author: M. Aguena
Author: O. Alves
Author: J. Annis
Author: D. Bacon
Author: S. Bocquet
Author: D. Brooks
Author: A. Carnero Rosell
Author: C. Chang
Author: M. Costanzi
Author: C. Coviello
Author: L.N. Da Costa
Author: T.M. Davis
Author: J. De Vicente
Author: H.T. Diehl
Author: P. Doel
Author: J. Esteves
Author: S. Everett
Author: I. Ferrero
Author: A. Ferté
Author: D. Friedel
Author: J. Frieman
Author: M. Gatti
Author: G. Giannini
Author: D. Gruen
Author: R.A. Gruendl
Author: G. Gutierrez
Author: K. Herner
Author: S.R. Hinton
Author: D.L. Hollowood
Author: K. Honscheid
Author: D.J. James
Author: T. Jeltema
Author: M. Kirby
Author: K. Kuehn
Author: O. Lahav
Author: P. Li
Author: J.L. Marshall
Author: T. McClintock
Author: D. Mellor
Author: J. Mena-Fernández
Author: R. Miquel
Author: J. O'Donnell
Author: A. Palmese
Author: M. Paterno
Author: M.E.S. Pereira
Author: A. Pieres
Author: A.A. Plaszas Malagón
Author: M. Rodriguez-Monroy
Author: A.K. Romer
Author: A. Roodman
Author: E. Sanchez
Author: M. Schubnell
Author: I. Sevilla-Noarbe
Author: T. Shin
Author: M. Smith ORCID iD
Author: E. Suchyta
Author: M.E.C. Swanson
Author: G. Tarle
Author: J. Weller
Author: P. Wiseman ORCID iD
Author: H.-Y. Wu
Author: Y. Zhang
Author: C. Zhou
Corporate Author: The Dark Energy Survey Collaboration

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