期刊
ASTRONOMY AND COMPUTING
卷 12, 期 -, 页码 45-59出版社
ELSEVIER
DOI: 10.1016/j.ascom.2015.05.005
关键词
Cosmology:miscellaneous; Methods:data analysis; Methods:statistical
资金
- U.S. Department of Energy [DE-FG02-95ER40896]
- Simons Foundation [184549]
- Kavli Institute for Cosmological Physics at the University of Chicago [NSF PHY-0114422, NSF PHY-0551142]
- Kavli Foundation
- National Science Foundation [PHYS-1066293]
- University of Chicago Research Computing Center
- Science and Technology Facilities Council [ST/L000768/1] Funding Source: researchfish
- STFC [ST/L000768/1] Funding Source: UKRI
- Division Of Physics
- Direct For Mathematical & Physical Scien [1125897] Funding Source: National Science Foundation
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 CAMS, 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.orgijoezuntz/cosmosis. (C) 2015 Elsevier B.V. All rights reserved.
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