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Gerbino, M.; Lattanzi, M.; Mena, O.; Freese, K. A novel approach to quantifying the sensitivity of current and future cosmological datasets to the neutrino mass ordering through Bayesian hierarchical modeling 2017 Physics Letters B 775 239-250 details   doi
Di Valentino, E.; Giusarma, E.; Lattanzi, M.; Mena, O.; Melchiorri, A.; Silk, J. Cosmological axion and neutrino mass constraints from Planck 2015 temperature and polarization data 2016 Physics Letters B 752 182-185 details   doi
Hagstotz, S.; de Salas, P.F.; Gariazzo, S.; Pastor, S.; Gerbino, M.; Lattanzi, M.; Vagnozzi, S.; Freese, K. Bounds on light sterile neutrino mass and mixing from cosmology and laboratory searches 2021 Physical Review D 104 123524 - 20pp details   doi
Vagnozzi, S.; Giusarma, E.; Mena, O.; Freese, K.; Gerbino, M.; Ho, S.; Lattanzi, M. Unveiling nu secrets with cosmological data: Neutrino masses and mass hierarchy 2017 Physical Review D 96 123503 - 26pp details   doi
Gerbino, M.; Freese, K.; Vagnozzi, S.; Lattanzi, M.; Mena, O.; Giusarma, E.; Ho, S. Impact of neutrino properties on the estimation of inflationary parameters from current and future observations 2017 Physical Review D 95 043512 - 22pp details   doi
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