Forecasting neutrino masses from combining KATRIN and the CMB: Frequentist and Bayesian analyses
Ole Host; Ofer Lahav; Filipe B. Abdalla; Klaus Eitel · 2007 · arXiv
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
The finding, in one line
“Assuming a uniform prior in m_beta, we find that a null result yields an upper bound of about 0.”
Abstract (excerpt)
We present a showcase for deriving bounds on the neutrino masses from laboratory experiments and cosmological observations. We compare the frequentist and Bayesian bounds on the effective electron neutrino mass m_beta which the KATRIN neutrino mass experiment is expected to obtain, using both an analytical likelihood function and Monte Carlo simulations of KATRIN. Assuming a uniform prior in m_beta, we find that a null result yields an upper bound of about 0.17 eV at 90% confidence in the Bayesian analysis, to be compared with the frequentist KATRIN reference value of 0.20 eV. This is a signif
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Metadata source: arXiv