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Building an Efficient Cluster Cosmology Software Package for Modeling Cluster Counts and Lensing

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arxiv 2309.06593 v1 pith:IQWPY5QX submitted 2023-09-12 astro-ph.CO astro-ph.IM

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

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    Joint counts plus weak lensing on DC2 redMaPPer clusters recovers the simulated mass-richness relation within 2 sigma, with photo-z biases reduced by a fitted correction and shear-richness covariance shifting results ...

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