Cosmological bounds on neutrino statistics
arXiv:1802.04639 · doi:10.1088/1475-7516/2018/03/050
Abstract
We consider the phenomenological implications of the violation of the Pauli exclusion principle for neutrinos, focusing on cosmological observables such as the spectrum of Cosmic Microwave Background anisotropies, Baryon Acoustic Oscillations and the primordial abundances of light elements. Neutrinos that behave (at least partly) as bosonic particles have a modified equilibrium distribution function that implies a different influence on the evolution of the Universe that, in the case of massive neutrinos, can not be simply parametrized by a change in the effective number of neutrinos. Our results show that, despite the precision of the available cosmological data, only very weak bounds can be obtained on neutrino statistics, disfavouring a more bosonic behaviour at less than .
18 pages, 9 figures
References in corpus (12)
- The Clustering of the SDSS DR7 Main Galaxy Sample I: A 4 per cent Distance Measure at z=0.15
- Bayes in the sky: Bayesian inference and model selection in cosmology
- One percent determination of the primordial deuterium abundance
- Primordial Nucleosynthesis: from precision cosmology to fundamental physics
- The effects of He I 10830 on helium abundance determinations
- Relic neutrino decoupling with flavour oscillations revisited
- Neutrino cosmology and Planck
- Statistics of neutrinos and the double beta decay
- Status of neutrino properties and future prospects - Cosmological and astrophysical constraints
- Cosmological N-body simulations with generic hot dark matter
- Optimal prior for Bayesian inference in a constrained parameter space
- Fermi-Boltzmann statistics of neutrinos and relativistic effective degrees of freedom
Cited by in corpus (4)
- What can CMB observations tell us about the neutrino distribution function?
- Probing Beyond the Standard Model Physics with Double-beta Decays
- Constraint on Neutrino Statistics from Cosmological Data
- Comment on "Optimal prior for Bayesian inference in a constrained parameter space" by S. Hannestad and T. Tram, arXiv:1710.08899