TY  - JOUR
AU  - Vagnozzi, S.
AU  - Giusarma, E.
AU  - Mena, O.
AU  - Freese, K.
AU  - Gerbino, M.
AU  - Ho, S.
AU  - Lattanzi, M.
PY  - 2017
DA  - 2017//
TI  - Unveiling nu secrets with cosmological data: Neutrino masses and mass hierarchy
T2  - Phys. Rev. D
JO  - Physical Review D
SP  - 123503
EP  - 26pp
VL  - 96
IS  - 12
PB  - Amer Physical Soc
AB  - Using some of the latest cosmological data sets publicly available, we derive the strongest bounds in the literature on the sum of the three active neutrino masses, M-nu, within the assumption of a background flat Lambda CDM cosmology. In the most conservative scheme, combining Planck cosmic microwave background temperature anisotropies and baryon acoustic oscillations (BAO) data, as well as the up-to-date constraint on the optical depth to reionization (tau), the tightest 95% confidence level upper bound we find is M-nu < 0.151 eV. The addition of Planck high-l polarization data, which, however, might still be contaminated by systematics, further tightens the bound to M-nu < 0.118 eV. A proper model comparison treatment shows that the two aforementioned combinations disfavor the inverted hierarchy at similar to 64% C.L. and similar to 71% C.L., respectively. In addition, we compare the constraining power of measurements of the full- shape galaxy power spectrum versus the BAO signature, from the BOSS survey. Even though the latest BOSS full-shape measurements cover a larger volume and benefit from smaller error bars compared to previous similar measurements, the analysis method commonly adopted results in their constraining power still being less powerful than that of the extracted BAO signal. Our work uses only cosmological data; imposing the constraint M-nu > 0.06 eV from oscillations data would raise the quoted upper bounds by O(0.1 sigma) and would not affect our conclusions.
SN  - 2470-0010
UR  - http://arxiv.org/abs/1701.08172
UR  - https://doi.org/10.1103/PhysRevD.96.123503
DO  - 10.1103/PhysRevD.96.123503
LA  - English
N1  - WOS:000416948100004
ID  - Vagnozzi_etal2017
ER  -