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CosmoSIS: Modular cosmological parameter estimation

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Zuntz, J., Paterno, M., Jennings, E., Rudd, D., Manzotti, A., Dodelson, S., Bridle, S., Sehrish, S., Kowalkowski, J.·2015·Astronomy and Computing

Abstract

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 this http URL

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Research works printed but not linked: 30

  1. Ade, 2014, Detection of B-mode polarization at degree angular scales by BICEP2, Phys. Rev. Lett., 112, 241101, 10.1103/PhysRevLett.112.241101 · DOI · Paper page
  2. Akeret, 2013, CosmoHammer: Cosmological parameter estimation with the MCMC Hammer, Astronom. Comput., 2, 27, 10.1016/j.ascom.2013.06.003 · DOI
  3. Albrecht, A., et al. Report of the Dark Energy Task Force, ArXiv Astrophysics e-prints arXiv:astro-ph/0609591. · arXiv
  4. Allison, 2014, Comparison of sampling techniques for Bayesian parameter estimation, Mon. Not. R. Astron. Soc., 437, 3918, 10.1093/mnras/stt2190 · DOI
  5. Aslanyan, 2014, Cosmo++: An Object-Oriented C++ Library for Cosmology, Comput. Phys. Comm., 185, 3215, 10.1016/j.cpc.2014.08.021 · doi:10.1016/j.cpc.2014.08.021
  6. Bassett, 2011, Fisher matrix preloaded — FISHER4CAST, Internat. J. Modern Phys. D, 20, 2559, 10.1142/S0218271811020548 · DOI
  7. Christensen, 2001, Bayesian methods for cosmological parameter estimation from cosmic microwave background measurements, Classical Quantum Gravity, 18, 2677, 10.1088/0264-9381/18/14/306 · DOI · Paper page
  8. Chuang, 2013, The clustering of galaxies in the SDSS-III Baryon Oscillation Spectroscopic Survey: single-probe measurements and the strong power of f(z)σ8(z) on constraining dark energy, Mon. Not. R. Astron. Soc., 433, 3559, 10.1093/mnras/stt988 · DOI · Paper page
  9. Das, 2014, SCoPE: An efficient method of Cosmological Parameter Estimation, J. Cosmol. Astropart. Phys., 1407
  10. Doran, 2005, CMBEASY: an object oriented code for the cosmic microwave background, J. Cosmol. Astropart. Phys., 0510, 011
  11. Doran, 2004, Analyse this! A cosmological constraint package for CMBEASY, J. Cosmol. Astropart. Phys., 0409, 003, 10.1088/1475-7516/2004/09/003 · DOI
  12. Eifler, 2014, Combining probes of large-scale structure with COSMOLIKE, Mon. Not. R. Astron. Soc., 440, 1379, 10.1093/mnras/stu251 · doi:10.1093/mnras/stu251
  13. Fendt, 2007, Pico: Parameters for the impatient cosmologist, Astrophys. J., 654, 2, 10.1086/508342 · DOI
  14. Feroz, 2009, MULTINEST: an efficient and robust Bayesian inference tool for cosmology and particle physics, Mon. Not. R. Astron. Soc., 398, 1601, 10.1111/j.1365-2966.2009.14548.x · DOI · Paper page
  15. Foreman-Mackey, 2013, emcee: The MCMC Hammer, Publ. Astron. Soc. Pac., 125, 306, 10.1086/670067 · DOI · Paper page
  16. Graff, 2012, BAMBI: blind accelerated multimodal Bayesian inference, Mon. Not. R. Astron. Soc., 421, 169
  17. Heymans, 2013, CFHTLenS tomographic weak lensing cosmological parameter constraints: Mitigating the impact of intrinsic galaxy alignments, Mon. Not. R. Astron. Soc., 432, 2433, 10.1093/mnras/stt601 · DOI · Paper page
  18. Jimenez, 2004, Fast cosmological parameter estimation from microwave background temperature and polarization power spectra, Phys. Rev. D, 70, 23005, 10.1103/PhysRevD.70.023005 · DOI
  19. Joyce, 2015, Beyond the Cosmological Standard Model, Phys. Rep., 568, 1, 10.1016/j.physrep.2014.12.002 · DOI · Paper page
  20. Kaplinghat, 2002, Rapid calculation of theoretical cosmic microwave background angular power spectra, Astrophys. J., 578, 665, 10.1086/342656 · DOI
  21. Kilbinger, M., et al. 2011. CosmoPMC: Cosmology Population Monte Carlo, arXiv:1101.0950. · arXiv
  22. Lesgourgues, J., 2011. The Cosmic Linear Anisotropy Solving System (CLASS) I: Overview, arXiv:1104.2932. · DOI · Paper page
  23. Parkinson, 2012, The WiggleZ dark energy survey: Final data release and cosmological results, Phys. Rev. D, 86, 103518, 10.1103/PhysRevD.86.103518 · DOI · Paper page
  24. Parkinson, 2011, CosmoNest: Cosmological nested sampling, Astrophysics Source Code Library, 10019
  25. Planck Collaboration, 2013. Planck 2013 results. XVI. Cosmological parameters, arXiv:1303.5076. · arXiv
  26. 2014, Planck 2013 results. XV. CMB power spectra and likelihood, Astron. Astrophys., 571
  27. Refregier, 2011, iCosmo: an interactive cosmology package, Astron. Astrophys., 528, 33, 10.1051/0004-6361/200811112 · DOI
  28. Reid, 2010, Cosmological constraints from the clustering of the sloan digital sky survey DR7 luminous red galaxies, Mon. Not. R. Astron. Soc., 404, 60
  29. Sandvik, 2004, CMBFIT: Rapid WMAP likelihood calculations with normal parameters, Phys. Rev. D, 69, 63005, 10.1103/PhysRevD.69.063005 · DOI
  30. Smith, 2003, Stable clustering, the halo model and nonlinear cosmological power spectra, Mon. Not. Roy. Astron. Soc., 341, 1311, 10.1046/j.1365-8711.2003.06503.x · DOI · Paper page

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Metadata

Authors
Zuntz, J., Paterno, M., Jennings, E., Rudd, D., Manzotti, A., Dodelson, S., Bridle, S., Sehrish, S., & Kowalkowski, J.
Venue
Astronomy and Computing
Publisher
Elsevier BV
Published
2015-09
Volume
12
Pages
45-59
ISSN
2213-1337 (ISSN-L)
OpenAlex
W1527951709
Cited by
313
References
3
FWCI
10.23
Type
journal article
Language
en
Open access
bronze
Licence
Funders
  • European Research Council (240672)
  • 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)
  • National Science Foundation (PHYS-1066293)

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CoChat. (2026). Citation check: CosmoSIS: Modular cosmological parameter estimation. https://app.cochat.ai/papers/10.1016/j.ascom.2015.05.005
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Zuntz, J., Paterno, M., Jennings, E., Rudd, D., Manzotti, A., Dodelson, S., Bridle, S., Sehrish, S., & Kowalkowski, J. (2015). CosmoSIS: Modular cosmological parameter estimation. Astronomy and Computing. https://doi.org/10.1016/j.ascom.2015.05.005

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