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Title: CosmoSIS: Modular cosmological parameter estimation

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. Here 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. Lastly, we illustrate it using demonstration code that you can run out-of-the-box with the installer available at http://bitbucket.org/joezuntz/cosmosis
Authors:
 [1] ;  [2] ;  [3] ;  [4] ;  [5] ;  [6] ;  [1] ;  [2] ;  [2]
  1. Univ. of Manchester (United Kingdom). Jodrell Bank Centre for Astrophysics
  2. Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
  3. Univ. of Chicago, IL (United States). Kavli Inst. for Cosmological Physics (KICP); Univ. of Chicago, IL (United States). Enrico Fermi Inst.
  4. Univ. of Chicago, IL (United States). Kavli Inst. for Cosmological Physics (KICP); Univ. of Chicago, IL (United States). Research Computing Center
  5. Univ. of Chicago, IL (United States). Kavli Inst. for Cosmological Physics (KICP); Univ. of Chicago, IL (United States). Department of Astronomy & Astrophysics
  6. Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States); Univ. of Chicago, IL (United States). Kavli Inst. for Cosmological Physics (KICP); Univ. of Chicago, IL (United States). Department of Astronomy & Astrophysics
Publication Date:
OSTI Identifier:
1247491
Report Number(s):
FERMILAB-PUB--14-408-A; arXiv:1409.3409
Journal ID: ISSN 2213-1337; 1315924
Grant/Contract Number:
AC02-07CH11359; FG02-95ER40896; 184549; 240672; NSF PHY-0114422; NSF PHY-0551142; PHYS-1066293
Type:
Accepted Manuscript
Journal Name:
Astronomy and Computing
Additional Journal Information:
Journal Volume: 12; Journal Issue: C; Journal ID: ISSN 2213-1337
Publisher:
Elsevier
Research Org:
Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States)
Sponsoring Org:
USDOE Office of Science (SC), High Energy Physics (HEP) (SC-25)
Country of Publication:
United States
Language:
English
Subject:
79 ASTRONOMY AND ASTROPHYSICS; 46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY Cosmology:miscellaneous; Methods:data analysis; Methods:statistical