2538014
doi
10.5281/zenodo.2538014
oai:zenodo.org:2538014
user-lsst-desc
Alonso, David
University of Oxford
Krause, Elisabeth
University of Arizona
Leonard, C. Danielle
Carnegie Mellon University
Bull, Philip
Queen Mary University of London
Neveu, Jérémy
Université Paris-Sud
Villarreal, Antonio
Argonne National Laboratory
Singh, Sukhdeep
University of California, Berkeley
McClintock, Thomas
University of Arizona
Ellison, John
University of California, Riverside
Du, Zilong
University of California, Riverside
Zuntz, Joe
Royal Observatory Edinburgh
Mead, Alexander
University of British Columbia
Joudaki, Shahab
University of Oxford
Lorenz, Christiane S.
University of Oxford
Troster, Tilman
Royal Observatory Edinburgh
Sanchez, Javier
University of California, Irvine
Lanusse, Francois
Carnegie Mellon University
Ishak, Mustapha
The University of Texas at Dallas
Hlozek, Renée
University of Toronto
Blazek, Jonathan
Ohio State University
Campagne, Jean-Eric
Université Paris-Sud
Almoubayyed, Husni
Carnegie Mellon University
Eifler, Tim
University of Arizona
Kirby, Matthew
University of Arizona
Kirkby, David
University of California, Irvine
Plaszczynski, Stéphane
Université Paris-Sud
Slosar, Anze
Brookhaven National Laboratory
Vrastil, Michal
Institute of Physics CAS
Wagoner, Erika L.
University of Arizona
Core Cosmology Library
Chisari, Nora Elisa
University of Oxford
url:https://arxiv.org/abs/1812.05995
info:eu-repo/semantics/openAccess
Other (Open)
Cosmology
Dark Energy
Large Synoptic Survey Telescope
Dark Energy Science Collaboration
<p>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.</p>
Written in C, with a python interface.
Zenodo
2018-12-14
info:eu-repo/semantics/other
2538013
user-lsst-desc
1.0.0
1588232226.786908
33982226
md5:a1601693c95cfa2655a440ee124a44be
https://zenodo.org/records/2538014/files/CCLv1.0.0.zip
public
https://arxiv.org/abs/1812.05995
Is documented by
url
10.5281/zenodo.2538013
isVersionOf
doi