Title: A novel approach to quantifying the sensitivity of current and future cosmological datasets to the neutrino mass ordering through Bayesian hierarchical modeling

Abstract

We present a novel approach to derive constraints on neutrino masses, as well as on other cosmological parameters, from cosmological data, while taking into account our ignorance of the neutrino mass ordering. We derive constraints from a combination of current as well as future cosmological datasets on the total neutrino mass M_v and on the mass fractions f_v,i = m_i/M_v (where the index i = 1,2,3 indicates the three mass eigenstates) carried by each of the mass eigenstates m_i, after marginalizing over the (unknown) neutrino mass ordering, either normal ordering (NH) or inverted ordering (IH). The bounds on all the cosmological parameters, including those on the total neutrino mass, take therefore into account the uncertainty related to our ignorance of the mass hierarchy that is actually realized in nature. This novel approach is carried out in the framework of Bayesian analysis of a typical hierarchical problem, where the distribution of the parameters of the model depends on further parameters, the hyperparameters. In this context, the choice of the neutrino mass ordering is modeled via the discrete hyperparameter h_type, which we introduce in the usual Markov chain analysis. The preference from cosmological data for either the NH or the IH scenariosmore » is then simply encoded in the posterior distribution of the hyperparameter itself. Current cosmic microwave background (CMB) measurements assign equal odds to the two hierarchies, and are thus unable to distinguish between them. However, after the addition of baryon acoustic oscillation (BAO) measurements, a weak preference for the normal hierarchical scenario appears, with odds of 4:3 from Planck temperature and large-scale polarization in combination with BAO (3:2 if small-scale polarization is also included). Concerning next-generation cosmological experiments, forecasts suggest that the combination of upcoming CMB (COrE) and BAO surveys (DESI) may determine the neutrino mass hierarchy at a high statistical significance if the mass is very close to the minimal value allowed by oscillation experiments, as for NH and a fiducial value of M_v = 0.06eV there is a 9:1 preference of normal versus inverted hierarchy. On the contrary, if the sum of the masses is of the order of 0.1eV or larger, even future cosmological observations will be inconclusive. The innovative statistical strategy exploited here represents a very simple, efficient and robust tool to study the sensitivity of present and future cosmological data to the neutrino mass hierarchy, and a sound competitor to the standard Bayesian model comparison. The unbiased limit on we obtain is crucial for ongoing and planned neutrinoless double beta decay searches.« less

Authors:

Gerbino, Martina ;

• Search DOE PAGES for author "Gerbino, Martina"
• Search DOE PAGES for ORCID "0000-0002-3538-1283"

Lattanzi, Massimiliano; Mena, Olga; Freese, Katherine

Publication Date:

Fri Dec 01 00:00:00 EST 2017

Research Org.:

Univ. of Michigan, Ann Arbor, MI (United States)

Sponsoring Org.:

USDOE

OSTI Identifier:

1437761

Alternate Identifier(s):

OSTI ID: 1545067

Grant/Contract Number:  

SC0007859

Resource Type:

Published Article

Journal Name:

Physics Letters B

Additional Journal Information:

Journal Name: Physics Letters B Journal Volume: 775 Journal Issue: C; Journal ID: ISSN 0370-2693

Publisher:

Elsevier

Country of Publication:

Netherlands

Language:

English

Subject:

79 ASTRONOMY AND ASTROPHYSICS; 72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDS