Building an Efficient Cluster Cosmology Software Package for Modeling Cluster Counts and Lensing
Year: 2023
Type: other
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.
Authors: Aguena, M., Alves, O., Annis, J., Bacon, D., Bocquet, S., Brooks, D., Rosell, A. Carnero, Chang, C., Costanzi, M., Coviello, C., da Costa, L. N., Davis, T. M., De Vicente, J., Diehl, H. T., Doel, P., Esteves, J., Everett, S., Ferrero, I., Ferté, A., Friedel, D., Frieman, J., Gatti, M., Giannini, G., Gruen, D., Gruendl, R. A., Gutierrez, G., Herner, K., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Jeltema, T., Kirby, M., Kuehn, K., Lahav, O., Li, P., Marshall, J. L., McClintock, T., Mellor, D., Mena-Fernández, J., Miquel, R., O'Donnell, J., Palmese, A., Paterno, M., Pereira, M. E. S., Pieres, A., Malagón, A. A. Plazas, Rodriguez-Monroy, M., Romer, A. K., Roodman, A., Sanchez, E., Schubnell, M., Sevilla-Noarbe, I., Shin, T., Smith, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Weller, J., Wiseman, P., Wu, H. -Y., Zhang, Y., Zhou, C.
Institutions: Laboratório Interinstitucional de e-Astronomia, University of Michigan, Fermi National Accelerator Laboratory, University of Portsmouth, Technical University of Munich, Ludwig-Maximilians-Universität München, University College London, Universidad de La Laguna, University of Chicago, Scuola Internazionale Superiore di Studi Avanzati, Trieste Astronomical Observatory, Istituto Nazionale di Fisica Nucleare, Sezione di Trieste, Institute for Fundamental Physics of the Universe, The University of Queensland, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, California Institute of Technology, Jet Propulsion Laboratory, University of Oslo, SLAC National Accelerator Laboratory, National Center for Supercomputing Applications, University of Pennsylvania, Institute for High Energy Physics, University of Illinois Urbana-Champaign, University of Illinois System, University of California, Santa Cruz, The Ohio State University, Center for Astrophysics Harvard & Smithsonian, University of Arizona, Lowell Observatory, Australian Astronomical Observatory, Carnegie Mellon University, Texas A&M University, Institució Catalana de Recerca i Estudis Avançats, Universitat Autònoma de Barcelona, Kavli Institute for Particle Astrophysics and Cosmology, University of Sussex, Stony Brook University, University of Southampton, Oak Ridge National Laboratory, Max Planck Institute for Extraterrestrial Physics, Boise State University, Duke University
Language: English
Subfield: Astronomy and Astrophysics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: green
Funders: National Science Foundation, U.S. Department of Energy, University of Portsmouth, Centres de Recerca de Catalunya, European Commission, University of Sussex, Generalitat de Catalunya, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Ministerio de Ciencia e Innovación, Institut de Física d'Altes Energies, Office of Science, Science and Technology Facilities Council, European Regional Development Fund, High Energy Physics, FP7 Ideas: European Research Council, SLAC National Accelerator Laboratory
Awards: G1054097061, G1249197737, Capitalizing on Gravitational Shear, G1328166135, G1491530973, Testing the Dark Energy Paradigm and Measuring Neutrino Mass with the Dark Energy Survey, G1682672702, G1993551506, G265847165, G2916908045, G3154116105, G3207356259, G3586607516, G3715052068, G3740091667, The Dark Energy Survey Data Management Operations, G3870743921, G3906089732, G393177772, G3968781304, G4104599821, G419118642, G4279081818, G4334057779, G4404904460, G454676879, Understanding the Origin of Cosmic Structure, G490073602, G4960654128, G496129201, G498139845, G5616713406, G5617605617, G5702163051, G585908603, G6480793128, G6514847661, G6619390584, G6636566961, G6676276723, G6731467812, G7038324121, G716412294, G7711421660, Collaborative Research: The Dark Energy Survey Data Management Operations, G86560745, G8774460844, G969889393
OpenAlex ID: W4386793415