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Robustness of Planck results to statistical methods: the case of neutrinos

Abstract : With its wide frequency coverage Planck is a unique tool not only to test the standard cosmo- logical model (LCDM) but to explore beyond it, looking, for example, for the absolute scale of neutrino masses. Cosmological parameters are traditionally determined using a Bayesian approach based on Markov chains (MCMC) but a Frequentist approach based on profiles- Likelihood is also possible. The two methods are presented, with special focus on the latter, which gives results remarka- bly consistent with Bayesian approach for the LCDM model. The interesting case of neutrinos is discussed. Here the presence of a physical boundary on the masses induces differences in the two approaches nevertheless giving results in perfect agreement.
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Contributor : Sabine Starita <>
Submitted on : Friday, March 28, 2014 - 11:16:59 AM
Last modification on : Wednesday, September 16, 2020 - 4:24:08 PM


  • HAL Id : in2p3-00967247, version 1



M. Spinelli. Robustness of Planck results to statistical methods: the case of neutrinos. XLIXth Rencontres de Moriond - Cosmology, Mar 2014, La Thuile, Italy. pp.217-220. ⟨in2p3-00967247⟩



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