Robust sampling for weak lensing and clustering analyses with the Dark Energy Survey
Pablo LemosDepartment of Physics & Astronomy, University College London , Gower Street, London WC1E 6BT, UKN. WeaverdyckDepartment of Physics, University of Michigan , Ann Arbor, MI 48109, USAR. P. RollinsJodrell Bank Center for Astrophysics, School of Physics and Astronomy, University of Manchester , Oxford Road, Manchester M13 9PL, UKJ. MuirPerimeter Institute for Theoretical Physics , 31 Caroline St North, Waterloo, ON N2L 2Y5, CanadaA. FertéJet Propulsion Laboratory, California Institute of Technology , 4800 Oak Grove Dr., Pasadena, CA 91109, USAAndrew R. LiddleInstituto de Astrofísica e Ciências do Espaço , Faculdade de Ciências, Universidade de Lisboa, P-1769-016 Lisboa, PortugalA. CamposDepartment of Physics, Carnegie Mellon University , Pittsburgh, PA 15312, USADragan HutererDepartment of Physics, University of Michigan , Ann Arbor, MI 48109, USAMarco RaveriDepartment of Physics and Astronomy, University of Pennsylvania , Philadelphia, PA 19104, USAJ. ZuntzInstitute for Astronomy, University of Edinburgh , Edinburgh EH9 3HJ, UKEleonora Di ValentinoJodrell Bank Center for Astrophysics, School of Physics and Astronomy, University of Manchester , Oxford Road, Manchester M13 9PL, UKXiao FangDepartment of Astronomy, University of California , Berkeley, 501 Campbell Hall, Berkeley, CA 94720, USAW G HartleyDepartment of Astronomy, University of Geneva , ch. d’Ecogia 16, CH-1290 Versoix, SwitzerlandM. AguenaLaboratório Interinstitucional de e-Astronomia - LIneA , Rua Gal. José Cristino 77, Rio de Janeiro, RJ 20921-400, BrazilS. AllamFermi National Accelerator Laboratory , P. O. Box 500, Batavia, IL 60510, USAJ. AnnisFermi National Accelerator Laboratory , P. O. Box 500, Batavia, IL 60510, USAE. BertinInstitut d’Astrophysique de Paris, CNRS , UMR 7095, F-75014 Paris, FranceS. BocquetFaculty of Physics, Ludwig-Maximilians-Universität , Scheinerstr 1, D-81679 Munich, GermanyDavid BrooksDepartment of Physics & Astronomy, University College London , Gower Street, London WC1E 6BT, UKD. L. BurkeKavli Institute for Particle Astrophysics & Cosmology , P. O. Box 2450, Stanford University, Stanford, CA 94305, USAA. Carnero RosellDpto. Astrofísica, Universidad de La Laguna , E-38206 La Laguna, Tenerife, SpainM. Carrasco KindCenter for Astrophysical Surveys, National Center for Supercomputing Applications , 1205 West Clark St, Urbana, IL 61801, USAJ. CarreteroInstitut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology , Campus UAB, E-08193 Bellaterra (Barcelona) SpainF. J. CastanderInstitut d’Estudis Espacials de Catalunya (IEEC) , E-08034 Barcelona, SpainA. ChoiDepartment of Physics, California Institute of Technology , 1200 East California Blvd, MC 249-17, Pasadena, CA 91125, USAM. CostanziAstronomy Unit, Department of Physics, University of Trieste , via Tiepolo 11, I-34131 Trieste, ItalyM. CrocceInstitut d’Estudis Espacials de Catalunya (IEEC) , E-08034 Barcelona, SpainL. N. da CostaLaboratório Interinstitucional de e-Astronomia - LIneA , Rua Gal. José Cristino 77, Rio de Janeiro, RJ 20921-400, BrazilM. E. S. PereiraHamburger Sternwarte, Universität Hamburg , Gojenbergsweg 112, D-21029 Hamburg, GermanyJ. P. DietrichFaculty of Physics, Ludwig-Maximilians-Universität , Scheinerstr 1, D-81679 Munich, GermanyS. EverettI. FerreroInstitute of Theoretical Astrophysics, University of Oslo , P.O. Box 1029 Blindern, NO-0315 Oslo, NorwayJ. FriemanFermi National Accelerator Laboratory , P. O. Box 500, Batavia, IL 60510, USAJ. García-BellidoInstituto de Fisica Teorica UAM/CSIC, Universidad Autonoma de Madrid , E-28049 Madrid, SpainM. GattiDepartment of Physics and Astronomy, University of Pennsylvania , Philadelphia, PA 19104, USAE. GaztañagaInstitut d’Estudis Espacials de Catalunya (IEEC) , E-08034 Barcelona, SpainD. W. GerdesDepartment of Astronomy, University of Michigan , Ann Arbor, MI 48109, USAD. GruenExcellence Cluster Origins , Boltzmannstr 2, D-85748 Garching, GermanyR. A. GruendlCenter for Astrophysical Surveys, National Center for Supercomputing Applications , 1205 West Clark St, Urbana, IL 61801, USAJ. GschwendLaboratório Interinstitucional de e-Astronomia - LIneA , Rua Gal. José Cristino 77, Rio de Janeiro, RJ 20921-400, BrazilG. GutiérrezFermi National Accelerator Laboratory , P. O. Box 500, Batavia, IL 60510, USAS. R. HintonSchool of Mathematics and Physics, University of Queensland , Brisbane, QLD 4072, AustraliaD L HollowoodK. HonscheidCenter for Cosmology and Astro-Particle Physics, The Ohio State University , Columbus, OH 43210, USAD. J. JamesCenter for Astrophysics |Harvard & Smithsonian , 60 Garden Street, Cambridge, MA 02138, USAK. KuehnAustralian Astronomical Optics, Macquarie University , North Ryde, NSW 2113, AustraliaN. KuropatkinFermi National Accelerator Laboratory , P. O. Box 500, Batavia, IL 60510, USAM. LimaDepartamento de Física Matemática, Instituto de Física , Universidade de São Paulo, CP 66318, São Paulo, SP 05314-970, BrazilM. MarchDepartment of Physics and Astronomy, University of Pennsylvania , Philadelphia, PA 19104, USAP. MelchiorDepartment of Astrophysical Sciences, Princeton University , Peyton Hall, Princeton, NJ 08544, USAF. MenanteauCenter for Astrophysical Surveys, National Center for Supercomputing Applications , 1205 West Clark St, Urbana, IL 61801, USAR. MiquelInstitució Catalana de Recerca i Estudis Avançats , E-08010 Barcelona, SpainR. MorganPhysics Department, University of Wisconsin-Madison , 2320 Chamberlin Hall, 1150 University Avenue Madison, WI 53706-1390, USAA. PalmeseDepartment of Astronomy, University of California , Berkeley, 501 Campbell Hall, Berkeley, CA 94720, USAF. Paz-ChinchónCenter for Astrophysical Surveys, National Center for Supercomputing Applications , 1205 West Clark St, Urbana, IL 61801, USAA. PieresLaboratório Interinstitucional de e-AstronomiaA A Plazas MalagónDepartment of Astrophysical Sciences, Princeton University , Peyton Hall, Princeton, NJ 08544, USAA. PorredonCenter for Cosmology and Astro-Particle Physics, The Ohio State University , Columbus, OH 43210, USAE. SánchezCentro de Investigaciones Energéticas , Medioambientales y Tecnológicas (CIEMAT), Madrid, SpainV. ScarpineFermi National Accelerator Laboratory , P. O. Box 500, Batavia, IL 60510, USAM. SchubnellDepartment of Physics, University of Michigan , Ann Arbor, MI 48109, USAS. SerranoInstitut d’Estudis Espacials de Catalunya (IEEC) , E-08034 Barcelona, SpainI. Sevilla-NoarbeCentro de Investigaciones Energéticas , Medioambientales y Tecnológicas (CIEMAT), Madrid, SpainM. SmithSchool of Physics and Astronomy, University of Southampton , Southampton SO17 1BJ, UKE. SuchytaComputer Science and Mathematics Division, Oak Ridge National Laboratory , Oak Ridge, TN 37831, USAM. E. C. SwansonNational Center for Supercomputing Applications , 1205 West Clark St, Urbana, IL 61801, USAG. TarléDepartment of Physics, University of Michigan , Ann Arbor, MI 48109, USAD. ThomasInstitute of Cosmology and Gravitation, University of Portsmouth , Portsmouth PO1 3FX, UKC. ToCenter for Cosmology and Astro-Particle Physics, The Ohio State University , Columbus, OH 43210, USAT N VargaFaculty of Physics, Ludwig-Maximilians-Universität , Scheinerstr 1, D-81679 Munich, GermanyJ. WellerFaculty of Physics, Ludwig-Maximilians-Universität , Scheinerstr 1, D-81679 Munich, Germany
2022en
ABI
Abstract
ABSTRACT Recent cosmological analyses rely on the ability to accurately sample from high-dimensional posterior distributions. A variety of algorithms have been applied in the field, but justification of the particular sampler choice and settings is often lacking. Here, we investigate three such samplers to motivate and validate the algorithm and settings used for the Dark Energy Survey (DES) analyses of the first 3 yr (Y3) of data from combined measurements of weak lensing and galaxy clustering. We employ the full DES Year 1 likelihood alongside a much faster approximate likelihood, which enables us to assess the outcomes from each sampler choice and demonstrate the robustness of our full results. We find that the ellipsoidal nested sampling algorithm multinest reports inconsistent estimates of the Bayesian evidence and somewhat narrower parameter credible intervals than the sliced nested sampling implemented in polychord. We compare the findings from multinest and polychord with parameter inference from the Metropolis–Hastings algorithm, finding good agreement. We determine that polychord provides a good balance of speed and robustness for posterior and evidence estimation, and recommend different settings for testing purposes and final chains for analyses with DES Y3 data. Our methodology can readily be reproduced to obtain suitable sampler settings for future surveys.
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Citations and references
Cited by 20 references