CosmoSIS: Modular cosmological parameter estimation

• Published in: Astronomy and computing Vol. 12; no. C; pp. 45 - 59
• Main Authors: Zuntz, J., Paterno, M., Jennings, E., Rudd, D., Manzotti, A., Dodelson, S., Bridle, S., Sehrish, S., Kowalkowski, J.
• Format: Journal Article
• Language: English
• Published: United States Elsevier B.V 01.09.2015; Elsevier
• Subjects: ASTRONOMY AND ASTROPHYSICS; Cosmology:miscellaneous; INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY; Methods:data analysis; Methods:statistical; Methods:statistical; Cosmology:miscellaneous; Methods:data analysis
• ISSN: 2213-1337; 2213-1345; 2213-1345
• DOI: 10.1016/j.ascom.2015.05.005

Cosmological parameter estimation is entering a new era. Large collaborations need to coordinate high-stakes analyses using multiple methods; furthermore such analyses have grown in complexity due to sophisticated models of cosmology and systematic uncertainties. In this paper we argue that modularity is the key to addressing these challenges: calculations should be broken up into interchangeable modular units with inputs and outputs clearly defined. We present a new framework for cosmological parameter estimation, CosmoSIS, designed to connect together, share, and advance development of inference tools across the community. We describe the modules already available in CosmoSIS, including camb, Planck, cosmic shear calculations, and a suite of samplers. We illustrate it using demonstration code that you can run out-of-the-box with the installer available at http://bitbucket.org/joezuntz/cosmosis.