Core Cosmology Library: Precision Cosmological Predictions for LSST
AuthorChisari, Nora Elisa
Leonard, C. Danielle
Lorenz, Christiane S.
Wagoner, Erika L.
AffiliationUniv Arizona, Dept Phys
Univ Arizona, Med Ctr
Univ Arizona, Dept Astron, Steward Observ
MetadataShow full item record
PublisherIOP PUBLISHING LTD
CitationNora Elisa Chisari et al 2019 ApJS 242 2
RightsCopyright © 2019. The American Astronomical Society. All rights reserved.
Collection InformationThis 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 email@example.com.
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.
VersionFinal published version
SponsorsCentre 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 ; NSF [AST-1517768]; U.S. Department of Energy, Office of Science [DE-SC0019206]