Bayesian analysis of a future β decay experiment's sensitivity to neutrino mass scale and ordering
Bayesian analysis of a future β decay experiment's sensitivity to neutrino mass scale and ordering
复制标题
未来β衰变实验对中微子质量尺度和排序敏感性的贝叶斯分析
DOI:
10.1103/physrevc.103.065501
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发表时间:
2021
影响因子:
3.1
通讯作者:
Formaggio, J. A.
中科院分区:
文献类型:
--
作者:
Ashtari Esfahani, A.;Betancourt, M.;Bogorad, Z.;Böser, S.;Buzinsky, N.;Cervantes, R.;Claessens, C.;de Viveiros, L.;Fertl, M.;Formaggio, J. A.
Bayesian modeling techniques enable sensitivity analyses that incorporate detailed expectations regarding future experiments. A model-based approach also allows one to evaluate inferences and predicted outcomes, by calibrating (or measuring) the consequences incurred when certain results are reported. We present procedures for calibrating predictions of an experiment's sensitivity to both continuous and discrete parameters. Using these procedures and a new Bayesian model of the-decay spectrum, we assess a high-precision-decay experiment's sensitivity to the neutrino mass scale and ordering for one assumed design scenario. We find that such an experiment could measure the electron-weighted neutrino mass withinmeV after 1 year (90% credibility). Neutrino massesmeV could be measured withinmeV. Using onlydecay and external reactor neutrino data, we find that next-generation-decay experiments could potentially constrain the mass ordering using a two-neutrino spectral model analysis. By calibrating mass ordering results, we identify reporting criteria that can be tuned to suppress false ordering claims. In some cases, a two-neutrino analysis can reveal that the mass ordering is inverted, an unobtainable result for the traditional one-neutrino analysis approach.