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arxiv: 2604.11774 · v1 · submitted 2026-04-13 · ✦ hep-ex · physics.ins-det

Recognition: unknown

Neutron Reconstruction via Blips in Liquid Argon Time Projection Chambers

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Pith reviewed 2026-05-10 15:03 UTC · model grok-4.3

classification ✦ hep-ex physics.ins-det
keywords neutron reconstructionLArTPCblipsneutrino interactionsinelastic scatteringMeV depositsdirection reconstructionenergy reconstruction
0
0 comments X

The pith

Isolated MeV-scale blips from neutron inelastic scattering enable identification and reconstruction of neutrons in sub-GeV neutrino interactions inside liquid argon time projection chambers.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper shows how to use small, isolated energy deposits called blips, produced when neutrons scatter inelastically off argon nuclei, to find and measure neutrons that are usually ignored in neutrino experiments. A simulation study with realistic detector responses demonstrates that these blips can reveal both the direction and energy of the outgoing neutron system. This matters because neutrons carry important information about the neutrino interaction, and including them could sharpen measurements of neutrino properties and help distinguish neutrinos from antineutrinos. The approach is presented as a proof-of-concept that future improvements in reconstruction algorithms can build upon.

Core claim

By leveraging isolated, MeV-scale energy deposits, or blips, from neutron inelastic scattering and using realistic blip response from published experimental results, the capability is demonstrated to identify neutrons and to reconstruct the direction and energy of the final-state neutron system in sub-GeV neutrino interactions in a generic LArTPC detector. Neutron-related blip attributes can then be used to improve physics studies of neutrino interactions, such as enhancing neutrino-antineutrino separation.

What carries the argument

Blips, the isolated MeV-scale energy deposits from neutron inelastic scattering, which provide identifiable signals for neutron identification and allow reconstruction of neutron direction and energy.

If this is right

  • Neutrons can be identified in LArTPC neutrino data using blip signals.
  • Direction and energy of the final-state neutron system can be reconstructed in sub-GeV interactions.
  • Neutrino-antineutrino separation can be enhanced in atmospheric neutrinos and reverse-horn-current beam neutrinos.
  • Initial quantification of LArTPC neutron reconstruction capabilities is provided, with expectations for improvement via better algorithms and modeling.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • This reconstruction technique could be tested on existing data from operating LArTPC experiments to validate the simulation.
  • Applying neutron blip reconstruction might reduce systematic uncertainties in neutrino oscillation analyses by accounting for missing energy.
  • Similar blip-based methods could extend to other particle reconstruction tasks in liquid argon detectors beyond neutrinos.

Load-bearing premise

The simulation accurately models blip production, isolation, and detector response in real LArTPC conditions without significant unaccounted backgrounds or reconstruction inefficiencies.

What would settle it

A mismatch between the predicted distribution of isolated blips in simulation and the actual distribution observed in a real LArTPC exposed to a known flux of sub-GeV neutrinos, particularly in the number or properties of blips not associated with other visible particles.

Figures

Figures reproduced from arXiv: 2604.11774 by Bryce Littlejohn, Linyan Wan, Miguel Hernandez Morquecho, Paola Sala.

Figure 1
Figure 1. Figure 1: FIG. 1. Neutron kinetic energy distribution with a 2 MeV [PITH_FULL_IMAGE:figures/full_fig_p003_1.png] view at source ↗
Figure 2
Figure 2. Figure 2: In νµ and ¯νµ charged current interactions, we connect the primary interaction vertex and the end point of the muon track with a line segment as an approxima￾tion to the muon track, and require the point of closest approach (PoCA [66]) distance between the blip and the line segment to be larger than 20 cm, as shown in the blue region in the bottom subfigure in [PITH_FULL_IMAGE:figures/full_fig_p004_2.png] view at source ↗
Figure 2
Figure 2. Figure 2: FIG. 2. A cartoon illustrating applied topological selection [PITH_FULL_IMAGE:figures/full_fig_p005_2.png] view at source ↗
Figure 3
Figure 3. Figure 3: FIG. 3. Distributions of distances between each blip and its primary neutrino interaction vertex for [PITH_FULL_IMAGE:figures/full_fig_p006_3.png] view at source ↗
Figure 4
Figure 4. Figure 4: FIG. 4. Reconstructed energy distributions for selected blips from [PITH_FULL_IMAGE:figures/full_fig_p008_4.png] view at source ↗
Figure 5
Figure 5. Figure 5: FIG. 5. Blip multiplicity for different final state topologies in [PITH_FULL_IMAGE:figures/full_fig_p009_5.png] view at source ↗
Figure 8
Figure 8. Figure 8: FIG. 8. Energy reconstruction for the neutron system using [PITH_FULL_IMAGE:figures/full_fig_p010_8.png] view at source ↗
Figure 7
Figure 7. Figure 7: FIG. 7. Direction reconstruction inner angle [PITH_FULL_IMAGE:figures/full_fig_p010_7.png] view at source ↗
Figure 9
Figure 9. Figure 9: FIG. 9. Energy spectra of [PITH_FULL_IMAGE:figures/full_fig_p012_9.png] view at source ↗
Figure 8
Figure 8. Figure 8: It indicates that the energy scale uncertainty [PITH_FULL_IMAGE:figures/full_fig_p012_8.png] view at source ↗
Figure 10
Figure 10. Figure 10: FIG. 10. Energy reconstruction performance for ¯ν [PITH_FULL_IMAGE:figures/full_fig_p013_10.png] view at source ↗
Figure 11
Figure 11. Figure 11: FIG. 11. Direction reconstruction for ¯ν [PITH_FULL_IMAGE:figures/full_fig_p014_11.png] view at source ↗
Figure 12
Figure 12. Figure 12: FIG. 12. Neutron kinetic energy distribution with a 2 MeV threshold (top) and neutron multiplicity distribution with a 5 MeV [PITH_FULL_IMAGE:figures/full_fig_p015_12.png] view at source ↗
Figure 13
Figure 13. Figure 13: FIG. 13. The distributions of the true blip energy for [PITH_FULL_IMAGE:figures/full_fig_p020_13.png] view at source ↗
Figure 14
Figure 14. Figure 14: FIG. 14. The distributions of the reconstructed blip energy for [PITH_FULL_IMAGE:figures/full_fig_p020_14.png] view at source ↗
Figure 15
Figure 15. Figure 15: FIG. 15. The distributions of the distance from the blip to the primary vertex for [PITH_FULL_IMAGE:figures/full_fig_p021_15.png] view at source ↗
Figure 16
Figure 16. Figure 16: FIG. 16. The distributions of the reconstructed blip energy for [PITH_FULL_IMAGE:figures/full_fig_p021_16.png] view at source ↗
Figure 17
Figure 17. Figure 17: FIG. 17. The distributions of the distance from the blip to the primary vertex for [PITH_FULL_IMAGE:figures/full_fig_p022_17.png] view at source ↗
Figure 18
Figure 18. Figure 18: FIG. 18. The distributions of the true blip energy for [PITH_FULL_IMAGE:figures/full_fig_p022_18.png] view at source ↗
Figure 19
Figure 19. Figure 19: FIG. 19. The distributions of the reconstructed blip energy for [PITH_FULL_IMAGE:figures/full_fig_p023_19.png] view at source ↗
Figure 20
Figure 20. Figure 20: FIG. 20. The distributions of the distance from the blip to the primary vertex for [PITH_FULL_IMAGE:figures/full_fig_p023_20.png] view at source ↗
Figure 21
Figure 21. Figure 21: FIG. 21. The distributions of the reconstructed blip energy for [PITH_FULL_IMAGE:figures/full_fig_p024_21.png] view at source ↗
Figure 22
Figure 22. Figure 22: FIG. 22. The distributions of the distance from the blip to the primary vertex for [PITH_FULL_IMAGE:figures/full_fig_p024_22.png] view at source ↗
read the original abstract

Neutrons are important final-state particles in neutrino interactions, yet they are not considered or reconstructed in most current neutrino LArTPC physics analyses. In this paper, we present a simulation-based proof-of-concept study of neutron reconstruction in a generic LArTPC detector. Leveraging isolated, MeV-scale energy deposits, or blips, from neutron inelastic scattering, and using realistic blip response from published experimental results, we demonstrate the capability to identify neutrons and to reconstruct the direction and energy of the final-state neutron system in sub-GeV neutrino interactions. We then explore how neutron-related blip attributes can be used to improve physics studies of neutrino interactions, such as enhancing neutrino-antineutrino separation in atmospheric neutrinos and reverse-horn-current beam neutrinos. This simple study provides an initial quantification of LArTPC neutron reconstruction capabilities, which we expect to improve with future advancements in blip reconstruction, identification, and classification algorithms, as well as the modeling of neutrons.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

2 major / 0 minor

Summary. The paper presents a simulation-based proof-of-concept study for neutron reconstruction in liquid argon time projection chambers (LArTPCs) for sub-GeV neutrino interactions. It leverages isolated MeV-scale energy deposits ('blips') from neutron inelastic scattering, using realistic responses from published experimental results to identify neutrons and reconstruct the direction and energy of the final-state neutron system. The study also explores applications for improving neutrino-antineutrino separation in atmospheric neutrinos and reverse-horn-current beam neutrinos.

Significance. If the simulation results hold, this work could significantly advance neutrino physics by enabling reconstruction of neutrons, which are currently overlooked in most LArTPC analyses. The incorporation of published experimental blip responses adds realism to the framework and provides a foundation for future algorithm development and experimental validation, potentially improving interaction studies and neutrino-antineutrino discrimination.

major comments (2)
  1. [Abstract] Abstract: The abstract claims to provide an 'initial quantification' of neutron reconstruction capabilities but includes no specific quantitative metrics such as identification efficiency, angular or energy resolution, or error estimates, which is load-bearing for evaluating the strength of the central demonstration claim.
  2. [Simulation results section] Simulation results section: The entire study is simulation-driven with no direct comparison or validation of blip attributes, isolation, or neutron tagging performance against real LArTPC data sets; this is load-bearing because unmodeled effects (e.g., cosmic overlays or purity variations) could alter the reported capabilities, as the weakest assumption is that the simulation accurately reproduces experimental conditions.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for their careful review and constructive feedback on our simulation-based proof-of-concept study. We address each major comment point by point below, with plans for targeted revisions to improve clarity and transparency without altering the core scope of the work.

read point-by-point responses
  1. Referee: [Abstract] Abstract: The abstract claims to provide an 'initial quantification' of neutron reconstruction capabilities but includes no specific quantitative metrics such as identification efficiency, angular or energy resolution, or error estimates, which is load-bearing for evaluating the strength of the central demonstration claim.

    Authors: We agree that the abstract would benefit from explicit quantitative metrics to substantiate the 'initial quantification' claim. The body of the manuscript contains these results from the simulation study (e.g., neutron identification efficiencies, angular and energy resolutions for the final-state neutron system). In the revised version, we will update the abstract to include the key performance numbers and associated uncertainties, ensuring the central demonstration is more directly evaluable. revision: yes

  2. Referee: [Simulation results section] Simulation results section: The entire study is simulation-driven with no direct comparison or validation of blip attributes, isolation, or neutron tagging performance against real LArTPC data sets; this is load-bearing because unmodeled effects (e.g., cosmic overlays or purity variations) could alter the reported capabilities, as the weakest assumption is that the simulation accurately reproduces experimental conditions.

    Authors: This correctly identifies a fundamental limitation of the current work. As a simulation-only proof-of-concept, direct validation against real LArTPC datasets is outside the paper's scope and cannot be added. We have already incorporated realistic blip responses drawn from published experimental results to improve fidelity. In revision, we will expand the discussion section to explicitly address potential impacts from unmodeled effects such as cosmic overlays and purity variations, and to outline the path for future experimental validation. This is consistent with standard practice for initial algorithmic studies in the field. revision: partial

Circularity Check

0 steps flagged

No circularity: simulation proof-of-concept uses external published blip responses and standard tools

full rationale

The paper is a simulation-based study demonstrating neutron identification and reconstruction from isolated MeV-scale blips in a generic LArTPC, informed by realistic response parameters drawn from prior published experimental results. No load-bearing step reduces by construction to fitted inputs, self-citations, or ansatzes defined within the work itself. The derivation chain consists of standard Monte Carlo modeling and reconstruction algorithms applied to external data inputs, with no equations or claims that equate outputs to their own definitions. This is the normal non-circular case for a proof-of-concept simulation paper.

Axiom & Free-Parameter Ledger

0 free parameters · 1 axioms · 0 invented entities

Central claim rests on the domain assumption that published blip responses are transferable to the simulated LArTPC and that blips can be isolated without major interference.

axioms (1)
  • domain assumption Blip response from neutron inelastic scattering can be modeled realistically using published experimental results.
    Invoked to enable the reconstruction demonstration in the simulation study.

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    hep-ex 2026-04 unverdicted novelty 5.0

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Reference graph

Works this paper leans on

83 extracted references · 61 canonical work pages · cited by 1 Pith paper · 1 internal anchor

  1. [1]

    As discussed in Section II B, after the neutrino interaction generation usingFLUKA, we have the choice to propa- gate the produced final state particles using different packages

    Neutron Propagation and Interaction Different energy depositions and blip multiplicities will originate from different modeling of neutron propagation, inelastic scattering, and argon nucleus de-excitation. As discussed in Section II B, after the neutrino interaction generation usingFLUKA, we have the choice to propa- gate the produced final state particl...

  2. [2]

    Neutron Production It is challenging to model neutron and proton produc- tion from neutrino interaction on argon, due to the com- plexity of the argon nucleus. To show the differences in the neutrino interaction modeling, we use an alternative neutrino generatorGENIE[45] in addition toFLUKAgen- erator, and compare the neutron distributions from the genera...

  3. [3]

    F. P. Anet al.(Daya Bay), Phys. Rev. Lett.130, 161802 (2023), arXiv:2211.14988 [hep-ex]

  4. [4]

    A New Lepton - Quark Mass Relation in a Unified Theory,

    A. Abuslemeet al.(JUNO), (2025), arXiv:2511.14593 [hep-ex]

  5. [5]

    Abubakar et al

    S. Abubakaret al.(T2K, NOvA), Nature646, 818 (2025), arXiv:2510.19888 [hep-ex]

  6. [6]

    Abiet al.(DUNE Collaboration), Eur

    B. Abiet al.(DUNE), Eur. Phys. J. C80, 978 (2020), arXiv:2006.16043 [hep-ex]

  7. [7]

    Abe et al

    K. Abeet al.(Hyper-Kamiokande), Eur. Phys. J. C86, 170 (2026), arXiv:2505.15019 [hep-ex]

  8. [8]

    K. J. Kelly, P. A. Machado, I. Martinez Soler, S. J. Parke, and Y. F. Perez Gonzalez, Phys. Rev. Lett.123, 081801 (2019), arXiv:1904.02751 [hep-ph]

  9. [9]

    K. J. Kelly, P. A. N. Machado, N. Mishra, L. E. Stri- gari, and Y. Zhuang, Phys. Rev. D108, 123019 (2023), arXiv:2304.04689 [hep-ph]

  10. [10]

    Basset al., Phys

    M. Basset al., Phys. Rev. D91, 052015 (2015), arXiv:1311.0212 [hep-ex]

  11. [11]

    Blennow, E

    M. Blennow, E. Fernandez-Martinez, T. Ota, and S. Rosauro-Alcaraz, Eur. Phys. J. C80, 190 (2020), arXiv:1912.04309 [hep-ph]

  12. [12]

    P. A. Machado, O. Palamara, and D. W. Schmitz, Ann. Rev. Nucl. Part. Sci.69, 363 (2019), arXiv:1903.04608 [hep-ex]

  13. [13]

    Acciarriet al.(SBND), (2025), arXiv:2504.00245 [hep-ex]

    R. Acciarriet al.(SBND), (2025), arXiv:2504.00245 [hep-ex]

  14. [14]

    Abratenkoet al.(MicroBooNE), Phys

    P. Abratenkoet al.(MicroBooNE), Phys. Rev. Lett.123, 131801 (2019), arXiv:1905.09694 [hep-ex]

  15. [15]

    N. M. Coyle, S. W. Li, and P. A. N. Machado, Phys. Rev. D111, 093010 (2025), arXiv:2502.19467 [hep-ph]

  16. [16]

    Acciarriet al.(ArgoNeuT), Phys

    R. Acciarriet al.(ArgoNeuT), Phys. Rev. D90, 012008 (2014), arXiv:1405.4261 [nucl-ex]

  17. [17]

    Adamset al.(MicroBooNE), Eur

    C. Adamset al.(MicroBooNE), Eur. Phys. J. C79, 248 (2019), arXiv:1805.06887 [hep-ex]

  18. [18]

    Abeet al.(T2K), Phys

    K. Abeet al.(T2K), Phys. Rev. D98, 032003 (2018), arXiv:1802.05078 [hep-ex]. 17

  19. [19]

    Abratenkoet al.(MicroBooNE), Phys

    P. Abratenkoet al.(MicroBooNE), Phys. Rev. D102, 112013 (2020), arXiv:2010.02390 [hep-ex]

  20. [20]

    Abratenkoet al.(MicroBooNE), Phys

    P. Abratenkoet al.(MicroBooNE), Phys. Lett. B872, 140052 (2026), arXiv:2211.03734 [hep-ex]

  21. [21]

    Abratenkoet al.(MicroBooNE), Phys

    P. Abratenkoet al.(MicroBooNE), Phys. Rev. D112, 112004 (2025), arXiv:2403.19574 [hep-ex]

  22. [22]

    Abratenkoet al.(MicroBooNE), Phys

    P. Abratenkoet al.(MicroBooNE), Phys. Rev. Lett.133, 041801 (2024), arXiv:2402.19281 [hep-ex]

  23. [23]

    Abratenkoet al.(MicroBooNE), Phys

    P. Abratenkoet al.(MicroBooNE), Phys. Rev. D110, 013006 (2024), arXiv:2402.19216 [hep-ex]

  24. [24]

    M. A. Aceroet al.(NOvA), Phys. Rev. D111, 052009 (2025), arXiv:2410.05526 [hep-ex]

  25. [25]

    Friedland and S

    A. Friedland and S. W. Li, Phys. Rev. D99, 036009 (2019), arXiv:1811.06159 [hep-ph]

  26. [26]

    Castiglioni, W

    W. Castiglioni, W. Foreman, I. Lepetic, B. R. Little- john, M. Malaker, and A. Mastbaum, Phys. Rev. D102, 092010 (2020), arXiv:2006.14675 [physics.ins-det]

  27. [27]

    Athanassopouloset al.(LSND), Nucl

    C. Athanassopouloset al.(LSND), Nucl. Instrum. Meth. A388, 149 (1997), arXiv:nucl-ex/9605002

  28. [28]

    Suzuki, Eur

    A. Suzuki, Eur. Phys. J. C74, 3094 (2014), arXiv:1409.4515 [hep-ex]

  29. [29]

    de Kerret et al

    H. de Kerretet al.(Double Chooz), Nature Phys.16, 558 (2020), arXiv:1901.09445 [hep-ex]

  30. [30]

    F. P. Anet al.(Daya Bay), Phys. Rev. Lett.133, 151801 (2024), arXiv:2406.01007 [hep-ex]

  31. [31]

    Hanet al.(Super-Kamiokande), Phys

    S. Hanet al.(Super-Kamiokande), Phys. Rev. D112, 012004 (2025), arXiv:2505.04409 [hep-ex]

  32. [32]

    C. L. Cowan, F. Reines, F. B. Harrison, H. W. Kruse, and A. D. McGuire, Science124, 103 (1956)

  33. [33]

    Abbeset al., Nucl

    M. Abbeset al., Nucl. Instrum. Meth. A374, 164 (1996)

  34. [34]

    Apollonio et al

    M. Apollonioet al.(CHOOZ), Eur. Phys. J. C27, 331 (2003), arXiv:hep-ex/0301017

  35. [35]

    F. P. Anet al.(Daya Bay), Phys. Rev. Lett.108, 171803 (2012), arXiv:1203.1669 [hep-ex]

  36. [36]

    Bellerive, J

    A. Bellerive, J. R. Klein, A. B. McDonald, A. J. Noble, and A. W. P. Poon (SNO), Nucl. Phys. B908, 30 (2016), arXiv:1602.02469 [nucl-ex]

  37. [37]

    Ashenfelteret al.(PROSPECT), Nucl

    J. Ashenfelteret al.(PROSPECT), Nucl. Instrum. Meth. A922, 287 (2019), arXiv:1808.00097 [physics.ins-det]

  38. [38]

    Shinokiet al.(Super-Kamiokande), Phys

    M. Shinokiet al.(Super-Kamiokande), Phys. Rev. D 107, 092009 (2023), arXiv:2212.10801 [hep-ex]

  39. [39]

    D. A. Brownet al., Nucl. Data Sheets148, 1 (2018)

  40. [40]

    Andringaet al.(ARTIE), Phys

    S. Andringaet al.(ARTIE), Phys. Rev. C108, L011601 (2023), arXiv:2212.05448 [nucl-ex]

  41. [41]

    MacMullinet al., Phys

    S. MacMullinet al., Phys. Rev. C85, 064614 (2012), arXiv:1202.2141 [nucl-ex]

  42. [42]

    Andringaet al., J

    S. Andringaet al., J. Phys. G50, 033001 (2023)

  43. [43]

    Acciarriet al.(ArgoNeuT), Phys

    R. Acciarriet al.(ArgoNeuT), Phys. Rev. D99, 012002 (2019), arXiv:1810.06502 [hep-ex]

  44. [44]

    Abratenkoet al.(MicroBooNE), Eur

    P. Abratenkoet al.(MicroBooNE), Eur. Phys. J. C84, 1052 (2024), arXiv:2406.10583 [hep-ex]

  45. [45]

    Atmospheric neutrino flux calculation using the NRLMSISE00 atmospheric model

    M. Honda, M. Sajjad Athar, T. Kajita, K. Kasahara, and S. Midorikawa, Phys. Rev. D92, 023004 (2015), arXiv:1502.03916 [astro-ph.HE]

  46. [46]

    Ballariniet al., EPJ Nuclear Sci

    F. Ballariniet al., EPJ Nuclear Sci. Technol.10, 16 (2024)

  47. [47]

    The GENIE Neutrino Monte Carlo Generator

    C. Andreopouloset al., Nucl. Instrum. Meth. A614, 87 (2010), arXiv:0905.2517 [hep-ph]

  48. [48]

    Tena-Vidalet al.(GENIE), Phys

    J. Tena-Vidalet al.(GENIE), Phys. Rev. D104, 072009 (2021), arXiv:2104.09179 [hep-ph]

  49. [49]

    L. Liu, S. J. Gardiner, and S. Dytman, (2025), 10.2172/3000869

  50. [50]

    Agostinelliet al.(GEANT4), Nucl

    S. Agostinelliet al.(GEANT4), Nucl. Instrum. Meth. A 506, 250 (2003)

  51. [51]

    C. H. Llewellyn Smith, Physics Reports3, 261 (1972)

  52. [52]

    Rein and L

    D. Rein and L. M. Sehgal, Annals of Physics133, 79 (1981)

  53. [53]

    Battistoni, A

    G. Battistoni, A. Ferrari, M. Lantz, P. R. Sala, and G. Smirnov, Acta Phys. Pol. B40, 2491 (2009)

  54. [54]

    Capoteet al., Nucl

    R. Capoteet al., Nucl. Data Sheets110, 3107 (2009)

  55. [55]

    Ferrari, P

    A. Ferrari, P. R. Sala, J. Ranft, and S. Roesler, Z. Phys. C71, 75 (1996), arXiv:nucl-th/9603010

  56. [56]

    Arneodo, P

    F. Arneodo, P. Benetti, M. Bonesini, A. B. di Tigliole, B. Boschetti, A. Bueno, E. Calligarich, F. Casagrande, D. Cavalli, F. Cavanna, P. Cennini, S. Centro, E. Cesana, D. Cline, A. Curioni, I. D. Mitri, C. D. Vecchi, R. Dolfini, A. Ferrari, A. Ghezzi, A. Guglielmi, J. Kisiel, G. Man- nocchi, A. M. de la Ossa, C. Matthey, F. Mauri, C. Mon- tanari, S. Nava...

  57. [57]

    Elkinset al.(MINERvA), Phys

    M. Elkinset al.(MINERvA), Phys. Rev. D100, 052002 (2019), arXiv:1901.04892 [hep-ex]

  58. [58]

    Abratenkoet al.(ICARUS), Eur

    P. Abratenkoet al.(ICARUS), Eur. Phys. J. C83, 467 (2023), arXiv:2301.08634 [hep-ex]

  59. [59]

    B. e. a. Abi (DUNE), Journal of Instrumentation17, P01005 (2022)

  60. [60]

    Abiet al.(DUNE), Journal of Instrumentation15, T08008 (2020)

    B. Abiet al.(DUNE), Journal of Instrumentation15, T08008 (2020)

  61. [61]

    Battistoni, M

    G. Battistoni, M. Bisogni, M. Campanella, M. Pietro Carante, P. Degtiarenko, R. Dos Santos Au- gusto, A. Fass` o, A. Ferrari, A. Ferrari, G. Kharashvili, A. Kraan, M. Mazziotta, M. Morone, S. Muraro, S. Mueller, V. Patera, L. Pinsky, R. Rachamin, S. Rol- let, P. Sala, M. Santana Leitner, L. Sarchiapone, T. Tessonnier, and L. Zana, inProceedings of the 15t...

  62. [62]

    E. L. Snider and G. Petrillo, J. Phys. Conf. Ser.898, 042057 (2017)

  63. [63]

    Acciarriet al.(MicroBooNE), Eur

    R. Acciarriet al.(MicroBooNE), Eur. Phys. J. C78, 82 (2018), arXiv:1708.03135 [hep-ex]

  64. [64]

    Heikkinen, N

    A. Heikkinen, N. Stepanov, and J. P. Wellisch, eConf C0303241, MOMT008 (2003), arXiv:nucl-th/0306008

  65. [65]

    A. J. M. Plompenet al., Eur. Phys. J. A56, 181 (2020)

  66. [66]

    Abratenkoet al.(MicroBooNE), Phys

    P. Abratenkoet al.(MicroBooNE), Phys. Rev. D.109, 052007 (2024), arXiv:2307.03102 [hep-ex]

  67. [67]
  68. [68]

    L. J. Schultz, K. N. Borozdin, J. J. Gomez, G. E. Hogan, J. A. McGill, C. L. Morris, W. C. Priedhorsky, A. Saun- ders, and M. E. Teasdale, Nucl. Instrum. Meth. A519, 687 (2004)

  69. [69]

    Mougeot, Phys

    X. Mougeot, Phys. Rev. C91, 055504 (2015), [Erratum: Phys.Rev.C 92, 059902 (2015)]

  70. [70]

    Kumar and S

    N. Kumar and S. P. Martin, Phys. Rev. D92, 115018 (2015), arXiv:1510.03456 [hep-ph]

  71. [71]

    He, G.-s

    X. He, G.-s. Li, Y.-F. Li, W. Luo, and L.-j. Wen, (2026), arXiv:2602.16514 [hep-ph]

  72. [72]

    Wester et al

    T. Westeret al.(Super-Kamiokande), Phys. Rev. D109, 072014 (2024), arXiv:2311.05105 [hep-ex]. 18

  73. [73]

    Electromagnetic shower calibration for elec- tron neutrino charged current measurements,

    N. Oza, “Electromagnetic shower calibration for elec- tron neutrino charged current measurements,” Poster presented at NuInt 2025 (2025), october 6–10, 2025

  74. [74]
  75. [75]

    Abratenkoet al.(MicroBooNE), Phys

    P. Abratenkoet al.(MicroBooNE), Phys. Rev. D105, L051102 (2022), arXiv:2109.06832 [hep-ex]

  76. [76]

    Adamset al.(MicroBooNE), Phys

    C. Adamset al.(MicroBooNE), Phys. Rev. D99, 091102 (2019), arXiv:1811.02700 [hep-ex]

  77. [77]
  78. [78]

    Gardiner, Nuclear de-excitations in low-energy charged-currentν e scattering on 40Ar, Phys

    S. Gardiner, Phys. Rev. C103, 044604 (2021), arXiv:2010.02393 [nucl-th]

  79. [79]

    M. A. Hernandez-Morquechoet al.(LArIAT), Phys. Rev. Lett.134, 131801 (2025), arXiv:2408.05133 [hep-ex]

  80. [80]

    Navaset al.(Particle Data Group), Phys

    S. Navaset al.(Particle Data Group), Phys. Rev. D110, 030001 (2024)

Showing first 80 references.