Core Cosmology Library: Precision Cosmological Predictions for LSST
By N. E. Chisari, David Alonso, Elisabeth Krause, C. D. Leonard, Philip Bull, J. Neveu, Antonio J. Villarreal, Sukhdeep Singh, T. McClintock, J. Ellison and 20 more. Astrophysical Journal Supplement Series, 2018
189 citations recorded by the source corpus.
The 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.
Subfields: Astronomy and Astrophysics, Atomic and Molecular Physics, and Optics, Instrumentation
View Paper: https://www.semanticscholar.org/paper/2ba140d31533cdd3a8842c26227f164917effe34
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Citations in the corpus
- KiDS+VIKING-450 and DES-Y1 combined: Cosmology with cosmic shear (2019, methodology): “This code has been used to benchmark the LSST-DESC Core Cosmology Library’s (CCL; Chisari et al. 2019) computation of tomographic cosmic shear, galaxy-galaxy lensing, and galaxy clustering observables.”