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Form-factor dependence of neutrino-nucleus cross sections using microscopic methods.

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Title: Form-factor dependence of neutrino-nucleus cross sections using microscopic methods.
Authors: Simons, D1 (AUTHOR), Steinberg, N2,3 (AUTHOR) nsteinberg@anl.gov, Lovato, A3,4 (AUTHOR), Meurice, Y1 (AUTHOR), Rocco, N2 (AUTHOR), Wagman, M2 (AUTHOR)
Source: Journal of Physics G: Nuclear & Particle Physics. Jun2025, Vol. 52 Issue 6, p1-32. 32p.
Subjects: Lattice quantum chromodynamics, Green's functions, Many-body problem, Particles (Nuclear physics), Parameterization
Abstract: To achieve its design goals, the next generation of neutrino-oscillation accelerator experiments requires percent-level predictions of neutrino-nucleus cross sections supplemented by robust estimates of the theoretical uncertainties involved. The latter arise from both approximations in solving the nuclear many-body problem and in the determination of the single- and few-nucleon quantities taken as input by many-body methods. To gauge the sensitivity of realistic nuclear many body methods to these few-nucleon quantities, we compute flux-averaged double-differential cross sections using the Green's function Monte Carlo and spectral function methods as well as different parameterizations of the nucleon axial form factors based on either deuterium bubble-chamber data or lattice quantum chromodynamics calculations. The cross-section results are compared with available experimental data from the MiniBooNE and T2K collaborations. We also discuss the uncertainties associated with N → Δ transition form factors that enter the two-body current operator. We quantify the relations between neutrino-nucleus cross section and nucleon form factor uncertainties. These relations enable us to determine the form factor precision targets required to achieve a given cross-section precision. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Physics G: Nuclear & Particle Physics is the property of IOP Publishing and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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Header DbId: egs
DbLabel: Engineering Source
An: 186246394
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Form-factor dependence of neutrino-nucleus cross sections using microscopic methods.
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  Data: <searchLink fieldCode="AR" term="%22Simons%2C+D%22">Simons, D</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Steinberg%2C+N%22">Steinberg, N</searchLink><relatesTo>2,3</relatesTo> (AUTHOR)<i> nsteinberg@anl.gov</i><br /><searchLink fieldCode="AR" term="%22Lovato%2C+A%22">Lovato, A</searchLink><relatesTo>3,4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Meurice%2C+Y%22">Meurice, Y</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Rocco%2C+N%22">Rocco, N</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wagman%2C+M%22">Wagman, M</searchLink><relatesTo>2</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Physics+G%3A+Nuclear+%26+Particle+Physics%22">Journal of Physics G: Nuclear & Particle Physics</searchLink>. Jun2025, Vol. 52 Issue 6, p1-32. 32p.
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  Data: <searchLink fieldCode="DE" term="%22Lattice+quantum+chromodynamics%22">Lattice quantum chromodynamics</searchLink><br /><searchLink fieldCode="DE" term="%22Green's+functions%22">Green's functions</searchLink><br /><searchLink fieldCode="DE" term="%22Many-body+problem%22">Many-body problem</searchLink><br /><searchLink fieldCode="DE" term="%22Particles+%28Nuclear+physics%29%22">Particles (Nuclear physics)</searchLink><br /><searchLink fieldCode="DE" term="%22Parameterization%22">Parameterization</searchLink>
– Name: Abstract
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  Data: To achieve its design goals, the next generation of neutrino-oscillation accelerator experiments requires percent-level predictions of neutrino-nucleus cross sections supplemented by robust estimates of the theoretical uncertainties involved. The latter arise from both approximations in solving the nuclear many-body problem and in the determination of the single- and few-nucleon quantities taken as input by many-body methods. To gauge the sensitivity of realistic nuclear many body methods to these few-nucleon quantities, we compute flux-averaged double-differential cross sections using the Green's function Monte Carlo and spectral function methods as well as different parameterizations of the nucleon axial form factors based on either deuterium bubble-chamber data or lattice quantum chromodynamics calculations. The cross-section results are compared with available experimental data from the MiniBooNE and T2K collaborations. We also discuss the uncertainties associated with N → Δ transition form factors that enter the two-body current operator. We quantify the relations between neutrino-nucleus cross section and nucleon form factor uncertainties. These relations enable us to determine the form factor precision targets required to achieve a given cross-section precision. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
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  Data: <i>Copyright of Journal of Physics G: Nuclear & Particle Physics is the property of IOP Publishing and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1088/1361-6471/adde77
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      – Code: eng
        Text: English
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        PageCount: 32
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        Type: general
      – SubjectFull: Green's functions
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      – SubjectFull: Many-body problem
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      – SubjectFull: Particles (Nuclear physics)
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      – SubjectFull: Parameterization
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      – TitleFull: Form-factor dependence of neutrino-nucleus cross sections using microscopic methods.
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              M: 06
              Text: Jun2025
              Type: published
              Y: 2025
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