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dc.contributor.authorChisari, Nora Elisa
dc.contributor.authorAlonso, David
dc.contributor.authorKrause, Elisabeth
dc.contributor.authorLeonard, C. Danielle
dc.contributor.authorBull, Philip
dc.contributor.authorNeveu, Jérémy
dc.contributor.authorVillarreal, Antonio
dc.contributor.authorSingh, Sukhdeep
dc.contributor.authorMcClintock, Thomas
dc.contributor.authorEllison, John
dc.contributor.authorDu, Zilong
dc.contributor.authorZuntz, Joe
dc.contributor.authorMead, Alexander
dc.contributor.authorJoudaki, Shahab
dc.contributor.authorLorenz, Christiane S.
dc.contributor.authorTröster, Tilman
dc.contributor.authorSanchez, Javier
dc.contributor.authorLanusse, Francois
dc.contributor.authorIshak, Mustapha
dc.contributor.authorHlozek, Renée
dc.contributor.authorBlazek, Jonathan
dc.contributor.authorCampagne, Jean-Eric
dc.contributor.authorAlmoubayyed, Husni
dc.contributor.authorEifler, Tim
dc.contributor.authorKirby, Matthew
dc.contributor.authorKirkby, David
dc.contributor.authorPlaszczynski, Stéphane
dc.contributor.authorSlosar, Anže
dc.contributor.authorVrastil, Michal
dc.contributor.authorWagoner, Erika L.
dc.date.accessioned2019-08-21T22:27:22Z
dc.date.available2019-08-21T22:27:22Z
dc.date.issued2019-05-01
dc.identifier.citationNora Elisa Chisari et al 2019 ApJS 242 2en_US
dc.identifier.issn0067-0049
dc.identifier.doi10.3847/1538-4365/ab1658
dc.identifier.urihttp://hdl.handle.net/10150/633923
dc.description.abstractThe Core Cosmology Library (CCL) provides routines to compute basic cosmological observables to a high degree of accuracy, which have been verified with an extensive suite of validation tests. Predictions are provided for many cosmological quantities, including distances, angular power spectra, correlation functions, halo bias, and the halo mass function through state-of-the-art modeling prescriptions available in the literature. Fiducial specifications for the expected galaxy distributions for the Large Synoptic Survey Telescope (LSST) are also included, together with the capability of computing redshift distributions for a user-defined photometric redshift model. A rigorous validation procedure, based on comparisons between CCL and independent software packages, allows us to establish a well-defined numerical accuracy for each predicted quantity. As a result, predictions for correlation functions of galaxy clustering, galaxy-galaxy lensing, and cosmic shear are demonstrated to be within a fraction of the expected statistical uncertainty of the observables for the models and in the range of scales of interest to LSST. CCL is an open source software package written in C, with a Python interface and publicly available at. https://github.com/LSSTDESC/CCL.en_US
dc.description.sponsorshipCentre National de la Recherche Scientifique; National Energy Research Scientific Computing Center, a DOE Office of Science User Facility - Office of Science of the U.S. Department of Energy [DE-AC02-05CH11231]; STFC DiRAC HPC Facilities - UK BIS National E-infrastructure capital grants; UK particle physics grid - GridPP Collaboration; DOE [DE-AC02-76SF00515]; Science and Technology Facilities Council (STFC) through an Ernest Rutherford Fellowship [ST/P004474/1]; Beecroft fellowship; Royal Astronomical Society Research Fellowship; European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant [797794]; NSF [AST-1517768]; U.S. Department of Energy, Office of Science [DE-SC0019206]en_US
dc.language.isoenen_US
dc.publisherIOP PUBLISHING LTDen_US
dc.rightsCopyright © 2019. The American Astronomical Society. All rights reserved.en_US
dc.subjectcosmology: theoryen_US
dc.subjectdark energyen_US
dc.subjectlarge-scale structure of universeen_US
dc.titleCore Cosmology Library: Precision Cosmological Predictions for LSSTen_US
dc.typeArticleen_US
dc.contributor.departmentUniv Arizona, Dept Physen_US
dc.contributor.departmentUniv Arizona, Med Ctren_US
dc.contributor.departmentUniv Arizona, Dept Astron, Steward Observen_US
dc.identifier.journalASTROPHYSICAL JOURNAL SUPPLEMENT SERIESen_US
dc.description.collectioninformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.en_US
dc.eprint.versionFinal published versionen_US
dc.source.volume242
dc.source.issue1
dc.source.beginpage2
refterms.dateFOA2019-08-21T22:27:22Z


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