Statistical sensitivity of 163-Ho electron capture neutrino mass experiments

TL;DR

This paper introduces a Monte Carlo-based tool to estimate the statistical sensitivity of calorimetric 163-Ho electron capture neutrino mass experiments, aiding in designing experiments capable of sub-eV sensitivity.

Contribution

The paper presents a novel Monte Carlo simulation tool specifically for assessing the statistical sensitivity of calorimetric neutrino mass experiments using 163-Ho decay.

Findings

The tool effectively estimates sensitivity based on experimental parameters.

Design insights for achieving sub-eV neutrino mass sensitivity.

Guidelines for optimizing calorimetric neutrino experiments.

Abstract

Large calorimetric neutrino mass experiments using thermal detectors are possibly going to play a crucial role in the challenge for assessing the neutrino mass. This paper describe a tool based on Monte Carlo methods which has been developed to estimate the statistical sensitivity of calorimetric neutrino mass experiments using the 163-Ho electron capture decay. The tool is applied to investigate the effect of various experimental parameters and the results useful for designing an experiment with sub-eV sensitivity are given.