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

被引:3
|
作者
Sierra, D. Aristizabal [1 ]
机构
[1] Univ Tecn Federico Santa Maria, Dept Fis, Casilla 110 V,Ave Espana, Valparaiso 1680, Chile
关键词
D O I
10.1016/j.physletb.2023.138140
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
Forthcoming fixed-target coherent elastic neutrino-nucleus scattering experiments aim at measurements with O(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 weakcharge form factor parametrizations and weak-charge form factor decompositions in terms of elastic vector proton and neutron form factors, including nucleon form factors Q-dependent terms up to order Q2. 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 point-neutron distribution mean-square radius with a - 15% accuracy. With a substantial reduction of the beam-related neutron and steady-state backgrounds a - 1% precision extraction seems feasible, using either of the two approaches. (c) 2023 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons .org /licenses /by /4 .0/). Funded by SCOAP3.
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页数:12
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