4.6 Article

Planck intermediate results XVI. Profile likelihoods for cosmological parameters

期刊

ASTRONOMY & ASTROPHYSICS
卷 566, 期 -, 页码 -

出版社

EDP SCIENCES S A
DOI: 10.1051/0004-6361/201323003

关键词

cosmic background radiation; cosmology: observations; cosmology: theory; cosmological parameters; methods: statistical

资金

  1. ESA
  2. CNES (France)
  3. CNRS/INSU-IN2P3-INP (France)
  4. ASI (Italy)
  5. CNR (Italy)
  6. INAF (Italy)
  7. NASA (USA)
  8. DoE (USA)
  9. STFC (UK)
  10. UKSA (UK)
  11. CSIC (Spain)
  12. MICINN (Spain)
  13. JA (Spain)
  14. Tekes (Finland)
  15. AoF (Finland)
  16. CSC (Finland)
  17. DLR (Germany)
  18. MPG (Germany)
  19. CSA (Canada)
  20. DTU Space (Denmark)
  21. SER/SSO (Switzerland)
  22. RCN (Norway)
  23. SFI (Ireland)
  24. FCT/MCTES (Portugal)
  25. PRACE (EU)
  26. Science and Technology Facilities Council [ST/L001314/1, ST/K001051/1, ST/I005765/1, ST/K004131/1, ST/L000768/1, ST/K006606/1] Funding Source: researchfish
  27. UK Space Agency [ST/J004812/1, ST/G003874/1, ST/K003674/1] Funding Source: researchfish

向作者/读者索取更多资源

We explore the 2013 Planck likelihood function with a high-precision multi-dimensional minimizer (Minuit). This allows a refinement of the ACDM best-fit solution with respect to previously-released results, and the construction of frequentist confidence intervals using profile likelihoods. The agreement with the cosmological results from the Bayesian framework is excellent, demonstrating the robustness of the Planck results to the statistical methodology. We investigate the inclusion of neutrino masses, where more significant differences may appear due to the non-Gaussian nature of the posterior mass distribution. By applying the Feldman-Cousins prescription, we again obtain results very similar to those of the Bayesian methodology. However, the profile-likelihood analysis of the cosmic microwave background (CMB) combination (Planck+WP+highL) reveals a minimum well within the unphysical negative-mass region. We show that inclusion of the Planck CMB-lensing information regularizes this issue, and provide a robust frequentist upper limit Sigma m(v) <= 0.26 eV (95% confidence) from the CMB+lensing+BAO data combination.

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