English

Extraction of neutron density distributions from high-statistics coherent elastic neutrino-nucleus scattering data

High Energy Physics - Phenomenology 2023-08-30 v2 High Energy Physics - Experiment Nuclear Experiment Nuclear Theory

Abstract

Forthcoming fixed-target coherent elastic neutrino-nucleus scattering experiments aim at measurements with O(tonne)\cal{O}(\text{tonne})-scale detectors and substantially reduced systematic and statistical uncertainties. With such high quality data, the extraction of point-neutron distributions mean-square radii requires a better understanding of possible theoretical uncertainties. We quantify the impact of single-nucleon electromagnetic mean-square radii on the weak-charge form factor and compare results from weak-charge form factor parametrizations and weak-charge form factor decompositions in terms of elastic vector proton and neutron form factors, including nucleon form factors QQ-dependent terms up to order Q2Q^2. We assess as well the differences arising from results derived using weak-charge form factor decompositions in terms of elastic vector proton and neutron form factors and a model-independent approach based solely on the assumption of spherically symmetric nuclear ground state. We demonstrate the impact of the main effects by assuming pseudo-data from a one-tonne LAr detector and find that, among the effects and under the assumptions considered in this paper, weak-charge form factor parametrizations and weak-charge form factor decompositions in terms of elastic vector proton and neutron form factors enable the extraction of the 40Ar^{40}\text{Ar} point-neutron distribution mean-square radius with a 15%\sim 15\% accuracy. With a substantial reduction of the beam-related neutron and steady-state backgrounds a 1%\sim 1\% precision extraction seems feasible, using either of the two approaches.

Keywords

Cite

@article{arxiv.2301.13249,
  title  = {Extraction of neutron density distributions from high-statistics coherent elastic neutrino-nucleus scattering data},
  author = {D. Aristizabal Sierra},
  journal= {arXiv preprint arXiv:2301.13249},
  year   = {2023}
}

Comments

14 pages, 7 figures, 1 table. A few clarifications added. Matches version published in PLB