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arxiv: 2412.03186 · v3 · pith:5FNSVJKDnew · submitted 2024-12-04 · ✦ hep-ex · hep-ph

First Measurement of the Muon Neutrino Interaction Cross Section and Flux as a Function of Energy at the LHC with FASER

FASER Collaboration: Roshan Mammen Abraham , Xiaocong Ai , John Anders , Claire Antel , Akitaka Ariga , Tomoko Ariga , Jeremy Atkinson , Florian U. Bernlochner
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Tobias Boeckh Jamie Boyd Lydia Brenner Angela Burger Franck Cadoux Roberto Cardella David W. Casper Charlotte Cavanagh Xin Chen Dhruv Chouhan Andrea Coccaro Stephane D\'ebieux Monica D'Onofrio Ansh Desai Sergey Dmitrievsky Radu Dobre Sinead Eley Yannick Favre Deion Fellers Jonathan L. Feng Carlo Alberto Fenoglio Didier Ferrere Max Fieg Wissal Filali Elena Firu Edward Galantay Ali Garabaglu Stephen Gibson Sergio Gonzalez-Sevilla Yuri Gornushkin Carl Gwilliam Daiki Hayakawa Michael Holzbock Shih-Chieh Hsu Zhen Hu Giuseppe Iacobucci Tomohiro Inada Luca Iodice Sune Jakobsen Hans Joos Enrique Kajomovitz Hiroaki Kawahara Alex Keyken Felix Kling Daniela K\"ock Pantelis Kontaxakis Umut Kose Rafaella Kotitsa Susanne Kuehn Thanushan Kugathasan Lorne Levinson Ke Li Jinfeng Liu Yi Liu Margaret S. Lutz Jack MacDonald Chiara Magliocca Toni M\"akel\"a Lawson McCoy Josh McFayden Andrea Pizarro Medina Matteo Milanesio Th\'eo Moretti Mitsuhiro Nakamura Toshiyuki Nakano Laurie Nevay Ken Ohashi Hidetoshi Otono Hao Pang Lorenzo Paolozzi Pawan Pawan Brian Petersen Titi Preda Markus Prim Michaela Queitsch-Maitland Hiroki Rokujo Andr\'e Rubbia Jorge Sabater-Iglesias Osamu Sato Paola Scampoli Kristof Schmieden Matthias Schott Anna Sfyrla Davide Sgalaberna Mansoora Shamim Savannah Shively Yosuke Takubo Noshin Tarannum Ondrej Theiner Eric Torrence Oscar Ivan Valdes Martinez Svetlana Vasina Benedikt Vormwald Di Wang Yuxiao Wang Eli Welch Monika Wielers Yue Xu Samuel Zahorec Stefano Zambito Shunliang Zhang
This is my paper

Pith reviewed 2026-05-23 08:32 UTC · model grok-4.3

classification ✦ hep-ex hep-ph
keywords neutrino cross sectionmuon neutrino fluxLHCFASERTeV neutrinoscharged current interactionsStandard Model test
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The pith

Muon neutrino cross sections and fluxes measured differentially in six TeV energy bins at the LHC for the first time.

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

The paper reports the identification of 338 charged-current muon neutrino interactions in the FASER detector from 13.6 TeV proton collisions. Events are unfolded to a fiducial volume and analyzed in two complementary ways to extract both the energy-dependent cross section in tungsten and the differential neutrino flux. Results in six energy bins agree with Standard Model expectations and allow separation of pion and kaon decay contributions to the flux.

Core claim

Using 65.6 fb^{-1} of data, 338.1 ± 21.0 muon neutrino events are observed after background subtraction. The events are unfolded into six bins of neutrino energy, enabling the first differential measurement of the neutrino-nucleon cross section and the muon neutrino flux in the TeV range, both consistent with Standard Model predictions.

What carries the argument

Unfolding observed events into a fiducial volume corresponding to the FASER detector's sensitive regions, then interpreting the binned data either as a cross-section measurement (using the expected flux) or as a flux measurement (using the predicted cross section).

Load-bearing premise

The background subtraction from other processes and the unfolding procedure to the fiducial volume are accurate enough that the 338 events yield reliable differential distributions in six energy bins.

What would settle it

A significant deviation between the measured distributions in any of the six energy bins and the Standard Model prediction, exceeding the reported uncertainties, would falsify the claim of alignment with the Standard Model.

Figures

Figures reproduced from arXiv: 2412.03186 by Akitaka Ariga, Alex Keyken, Ali Garabaglu, Andrea Coccaro, Andrea Pizarro Medina, Andr\'e Rubbia, Angela Burger, Anna Sfyrla, Ansh Desai, Benedikt Vormwald, Brian Petersen, Carl Gwilliam, Carlo Alberto Fenoglio, Charlotte Cavanagh, Chiara Magliocca, Claire Antel, Daiki Hayakawa, Daniela K\"ock, Davide Sgalaberna, David W. Casper, Deion Fellers, Dhruv Chouhan, Didier Ferrere, Di Wang, Edward Galantay, Elena Firu, Eli Welch, Enrique Kajomovitz, Eric Torrence, FASER Collaboration: Roshan Mammen Abraham, Felix Kling, Florian U. Bernlochner, Franck Cadoux, Giuseppe Iacobucci, Hans Joos, Hao Pang, Hidetoshi Otono, Hiroaki Kawahara, Hiroki Rokujo, Jack MacDonald, Jamie Boyd, Jeremy Atkinson, Jinfeng Liu, John Anders, Jonathan L. Feng, Jorge Sabater-Iglesias, Josh McFayden, Ke Li, Ken Ohashi, Kristof Schmieden, Laurie Nevay, Lawson McCoy, Lorenzo Paolozzi, Lorne Levinson, Luca Iodice, Lydia Brenner, Mansoora Shamim, Margaret S. Lutz, Markus Prim, Matteo Milanesio, Matthias Schott, Max Fieg, Michaela Queitsch-Maitland, Michael Holzbock, Mitsuhiro Nakamura, Monica D'Onofrio, Monika Wielers, Noshin Tarannum, Ondrej Theiner, Osamu Sato, Oscar Ivan Valdes Martinez, Pantelis Kontaxakis, Paola Scampoli, Pawan Pawan, Radu Dobre, Rafaella Kotitsa, Roberto Cardella, Samuel Zahorec, Savannah Shively, Sergey Dmitrievsky, Sergio Gonzalez-Sevilla, Shih-Chieh Hsu, Shunliang Zhang, Sinead Eley, Stefano Zambito, Stephane D\'ebieux, Stephen Gibson, Sune Jakobsen, Susanne Kuehn, Svetlana Vasina, Thanushan Kugathasan, Th\'eo Moretti, Titi Preda, Tobias Boeckh, Tomohiro Inada, Tomoko Ariga, Toni M\"akel\"a, Toshiyuki Nakano, Umut Kose, Wissal Filali, Xiaocong Ai, Xin Chen, Yannick Favre, Yi Liu, Yosuke Takubo, Yue Xu, Yuri Gornushkin, Yuxiao Wang, Zhen Hu.

Figure 1
Figure 1. Figure 1: FIG. 1. The relative systematic uncertainties on the deter [PITH_FULL_IMAGE:figures/full_fig_p006_1.png] view at source ↗
Figure 2
Figure 2. Figure 2: FIG. 2. ( [PITH_FULL_IMAGE:figures/full_fig_p006_2.png] view at source ↗
Figure 4
Figure 4. Figure 4: FIG. 4. Comparison of the number of neutrino interactions [PITH_FULL_IMAGE:figures/full_fig_p007_4.png] view at source ↗
Figure 3
Figure 3. Figure 3: FIG. 3. ( [PITH_FULL_IMAGE:figures/full_fig_p007_3.png] view at source ↗
Figure 5
Figure 5. Figure 5: (right) shows the extrapolation of the geometric muon background from the sideband into the signal region. The neutrino expectation is subtracted from the data and fitted with an exponential function. Systematic variations in the extrapolation fit were also tested, but as the resulting change in the background predictions were within the data statistical uncertainties no additional uncertainty was applied.… view at source ↗
Figure 6
Figure 6. Figure 6: FIG. 6. The response matrix relating the reconstructed, calibrated muon momentum [PITH_FULL_IMAGE:figures/full_fig_p011_6.png] view at source ↗
Figure 7
Figure 7. Figure 7: , for these distributions signal events agree with simulation, but are very distinct from background-like events. FIG. 7. Number of clusters in the IFT (left), track polar angle θµ (center) at the first station of the tracking spectrometer, and the ratio of the muon unit charge and momentum q/pµ (right) for signal events (black markers), muon-like events (gray markers), and simulation (blue histogram). The… view at source ↗
Figure 8
Figure 8. Figure 8: FIG. 8. ( [PITH_FULL_IMAGE:figures/full_fig_p013_8.png] view at source ↗
Figure 9
Figure 9. Figure 9: FIG. 9. The observed number of neutrino interactions (black markers) is compared to the expectation from [PITH_FULL_IMAGE:figures/full_fig_p014_9.png] view at source ↗
Figure 10
Figure 10. Figure 10: FIG. 10. The observed number of neutrino interactions (black markers) is compared to the pre-fit expectation with a total of [PITH_FULL_IMAGE:figures/full_fig_p014_10.png] view at source ↗
Figure 11
Figure 11. Figure 11: FIG. 11. The contour plots of cross section versus flux for each [PITH_FULL_IMAGE:figures/full_fig_p015_11.png] view at source ↗
read the original abstract

This letter presents the measurement of the energy-dependent neutrino-nucleon cross section in tungsten and the differential flux of muon neutrinos and anti-neutrinos. The analysis is performed using proton-proton collision data at a center-of-mass energy of $13.6 \, {\rm TeV}$ and corresponding to an integrated luminosity of $(65.6 \pm 1.4) \, \mathrm{fb^{-1}}$. Using the active electronic components of the FASER detector, $338.1 \pm 21.0$ charged current muon neutrino interaction events are identified, with backgrounds from other processes subtracted. We unfold the neutrino events into a fiducial volume corresponding to the sensitive regions of the FASER detector and interpret the results in two ways: We use the expected neutrino flux to measure the cross section, and we use the predicted cross section to measure the neutrino flux. Both results are presented in six bins of neutrino energy, achieving the first differential measurement in the TeV range. The observed distributions align with Standard Model predictions. Using this differential data, we extract the contributions of neutrinos from pion and kaon decays.

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 / 2 minor

Summary. The paper reports the first differential measurement of the muon neutrino-nucleon cross section in tungsten and the differential flux of muon neutrinos and antineutrinos at the LHC. Using 65.6 fb^{-1} of 13.6 TeV pp collision data collected with the FASER detector, 338.1 ± 21.0 charged-current muon neutrino events are identified after background subtraction. The events are unfolded into a fiducial volume and interpreted in two complementary ways (cross section using predicted flux; flux using predicted cross section), both presented in six neutrino-energy bins. The distributions agree with Standard Model expectations, and the data are used to extract the relative contributions from pion and kaon decays.

Significance. If the unfolding and background modeling hold, this constitutes the first TeV-scale differential neutrino cross-section and flux measurement at a collider. It supplies direct experimental input on high-energy neutrino interactions and forward production, which is valuable for validating Monte Carlo generators, constraining pion/kaon yields, and informing future forward-neutrino programs. The dual-interpretation approach and the extraction of decay-channel contributions are particular strengths.

major comments (2)
  1. [Unfolding procedure (results and methods sections)] The six-bin differential results (cross section and flux) rest on the unfolding step to the fiducial volume, yet the manuscript provides no migration matrix, regularization strength, condition number, or closure-test outcomes. Without these quantitative diagnostics it is impossible to assess migration, bias, or statistical stability across the six energy bins, which directly affects the reliability of both the cross-section and flux measurements.
  2. [Background estimation and event selection] Background subtraction yields the quoted 338.1 ± 21.0 events, but no energy-dependent validation or sideband studies are shown that would demonstrate the background model does not introduce bin-to-bin distortions. Any residual energy-dependent bias would propagate directly into the unfolded spectra and the subsequent pion/kaon extraction.
minor comments (2)
  1. [Abstract] The abstract states the total event count and unfolding but does not quote the per-bin event yields or the size of the unfolding corrections; adding these numbers would improve transparency.
  2. [Results section] Notation for neutrino versus antineutrino fluxes and the precise definition of the fiducial volume should be stated explicitly in the text rather than only in figures.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for the positive assessment of the significance of this first differential TeV-scale neutrino measurement and for the constructive comments. We address each major comment below and will revise the manuscript accordingly to improve transparency.

read point-by-point responses
  1. Referee: The six-bin differential results (cross section and flux) rest on the unfolding step to the fiducial volume, yet the manuscript provides no migration matrix, regularization strength, condition number, or closure-test outcomes. Without these quantitative diagnostics it is impossible to assess migration, bias, or statistical stability across the six energy bins, which directly affects the reliability of both the cross-section and flux measurements.

    Authors: We agree that these quantitative diagnostics are important for assessing the unfolding. The current letter format limited the space available for such details. In the revised manuscript we will add the migration matrix (as a figure or table), state the regularization strength, report the condition number of the response matrix, and include closure-test results demonstrating stability and bias control across the six energy bins. revision: yes

  2. Referee: Background subtraction yields the quoted 338.1 ± 21.0 events, but no energy-dependent validation or sideband studies are shown that would demonstrate the background model does not introduce bin-to-bin distortions. Any residual energy-dependent bias would propagate directly into the unfolded spectra and the subsequent pion/kaon extraction.

    Authors: We acknowledge that energy-dependent validation strengthens confidence in the background model. The letter format constrained the presentation of such studies. In the revised version we will include energy-dependent sideband distributions and validation plots to demonstrate that the background subtraction does not introduce significant bin-to-bin distortions. revision: yes

Circularity Check

0 steps flagged

No significant circularity; direct data-driven measurement

full rationale

The paper identifies 338.1 ± 21.0 events in data, subtracts backgrounds, unfolds to a fiducial volume, and presents two alternative interpretations (cross section from expected flux, or flux from predicted cross section) in six energy bins. These use external model inputs only for one quantity while measuring the other; no equations or steps reduce the reported distributions to fitted parameters or self-citations by construction. The alignment with SM predictions is a comparison, not a derivation. The analysis is self-contained against external benchmarks.

Axiom & Free-Parameter Ledger

0 free parameters · 1 axioms · 0 invented entities

The measurement rests on standard particle-physics modeling of neutrino production and detector response; no new free parameters or invented entities are introduced in the reported results.

axioms (1)
  • domain assumption Standard Model predictions for neutrino-nucleon cross sections and for the relative contributions of pion and kaon decays to the forward neutrino flux are sufficiently accurate to serve as reference for the measurement.
    Invoked when interpreting the unfolded data in the two ways described and when stating alignment with predictions.

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discussion (0)

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Forward citations

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Reference graph

Works this paper leans on

65 extracted references · 65 canonical work pages · cited by 4 Pith papers · 19 internal anchors

  1. [1]

    Detecting and Studying High-Energy Collider Neutrinos with FASER at the LHC,

    FASER Collaboration, “Detecting and Studying High-Energy Collider Neutrinos with FASER at the LHC,”Eur. Phys. J. C 80 (01, 2020) 61, arXiv:1908.02310 [hep-ex]

  2. [2]

    The Forward Physics Facility at the High-Luminosity LHC,

    J. L. Feng et al., “The Forward Physics Facility at the High-Luminosity LHC,” J. Phys. G 50 (2023) no. 3, 030501, arXiv:2203.05090 [hep-ex]

  3. [3]

    Review of Particle Physics,

    Particle Data Group Collaboration, “Review of Particle Physics,”Phys. Rev. D 110 (8, 2024) 030001

  4. [5]

    Neutrino and muon physics in the collider mode of future accelerators,

    A. De Rujula and R. Ruckl, “Neutrino and muon physics in the collider mode of future accelerators,” in SSC Workshop: Superconducting Super Collider Fixed Target Physics, pp. 571–596. 5, 1984

  5. [6]

    First Direct Observation of Collider Neutrinos with FASER at the LHC,

    FASER Collaboration, “First Direct Observation of Collider Neutrinos with FASER at the LHC,” Phys. Rev. Lett. 131 (2023) no. 3, 031801, arXiv:2303.14185 [hep-ex]

  6. [7]

    Observation of Collider Muon Neutrinos with the SND@LHC Experiment,

    SND@LHC Collaboration, “Observation of Collider Muon Neutrinos with the SND@LHC Experiment,” Phys. Rev. Lett. 131 (2023) no. 3, 031802, arXiv:2305.09383 [hep-ex]

  7. [8]

    First Measurement of νe and νµ Interaction Cross Sections at the LHC with FASER’s Emulsion Detector,

    FASER Collaboration, “First Measurement of νe and νµ Interaction Cross Sections at the LHC with FASER’s Emulsion Detector,”Phys. Rev. Lett. 133 (7, 2024) 021802, arXiv:2403.12520 [hep-ex]

  8. [9]

    The Dawn of Collider Neutrino Physics,

    E. Worcester, “The Dawn of Collider Neutrino Physics,” APS Physics 16 (2023) 113

  9. [10]

    The FASER Detector,

    FASER Collaboration, “The FASER Detector,”J. Instrum. 19 (5, 2024) P05066, arXiv:2207.11427 [physics.ins-det]

  10. [11]

    The trigger and data acquisition system of the FASER experiment,

    FASER Collaboration, “The trigger and data acquisition system of the FASER experiment,” JINST 16 (2021) no. 12, P12028, arXiv:2110.15186 [physics.ins-det]

  11. [12]

    The tracking detector of the FASER experiment,

    FASER Collaboration, “The tracking detector of the FASER experiment,” Nucl. Instrum. Meth. A 1034 (2022) 166825, arXiv:2112.01116 [physics.ins-det]

  12. [13]

    The barrel modules of the ATLAS semiconductor tracker,

    A. Abdesselam et al., “The barrel modules of the ATLAS semiconductor tracker,” Nucl. Instrum. Meth. A 568 (2006) 642–671

  13. [14]

    Luminosity determination in $pp$ collisions at $\sqrt{s}=13$ TeV using the ATLAS detector at the LHC

    ATLAS Collaboration, “Luminosity determination in pp collisions at √s = 13 TeV using the ATLAS detector at the LHC,”Eur. Phys. J. C 83 (10, 2023) 982, arXiv:2212.09379 [hep-ex]

  14. [15]

    Preliminary analysis of the luminosity calibration of the ATLAS 13.6 TeV data recorded in 2022,

    ATLAS Collaboration, “Preliminary analysis of the luminosity calibration of the ATLAS 13.6 TeV data recorded in 2022,” tech. rep., CERN, Geneva, 2023. https://cds.cern.ch/record/2853525

  15. [16]

    Preliminary analysis of the luminosity calibration for the ATLAS 13.6 TeV data recorded in 2023,

    ATLAS Collaboration, “Preliminary analysis of the luminosity calibration for the ATLAS 13.6 TeV data recorded in 2023,” tech. rep., CERN, Geneva, 2024. http://cds.cern.ch/record/2900949

  16. [17]

    Forward neutrino fluxes at the LHC,

    F. Kling and L. J. Nevay, “Forward neutrino fluxes at the LHC,” Phys. Rev. D 104 (2021) no. 11, 113008, arXiv:2105.08270 [hep-ph]

  17. [18]

    Neutrino Rate Predictions for FASER,

    FASER Collaboration, “Neutrino Rate Predictions for FASER,”Phys. Rev. D 110 (7, 2024) 012009, arXiv:2402.13318 [hep-ex]

  18. [19]

    EPOS LHC : test of collective hadronization with LHC data

    T. Pierog et al., “EPOS LHC: Test of collective hadronization with data measured at the CERN Large Hadron Collider,” Phys. Rev. C92 (2015) 034906, arXiv:1306.0121 [hep-ph]

  19. [20]

    A New Method for Combining NLO QCD with Shower Monte Carlo Algorithms

    P. Nason, “A New method for combining NLO QCD with shower Monte Carlo algorithms,” JHEP 11 (2004) 040, arXiv:hep-ph/0409146

  20. [21]

    Matching NLO QCD computations with Parton Shower simulations: the POWHEG method

    S. Frixione et al., “Matching NLO QCD computations with Parton Shower simulations: the POWHEG method,” JHEP 11 (2007) 070, arXiv:0709.2092 [hep-ph]

  21. [22]

    A general framework for implementing NLO calculations in shower Monte Carlo programs: the POWHEG BOX

    S. Alioli et al., “A general framework for implementing NLO calculations in shower Monte Carlo programs: the POWHEG BOX,” JHEP 06 (2010) 043, arXiv:1002.2581 [hep-ph]

  22. [23]

    A comprehensive guide to the physics and usage of PYTHIA 8.3

    C. Bierlich et al., “A comprehensive guide to the physics and usage of PYTHIA 8.3,” SciPost Phys. Codeb. 2022 (2022) 8, arXiv:2203.11601 [hep-ph]

  23. [24]

    Predictions for Neutrinos and New Physics from Forward Heavy Hadron Production at the LHC,

    L. Buonocore et al., “Predictions for Neutrinos and New Physics from Forward Heavy Hadron Production at the LHC,”Eur. Phys. J. C, Particles and Fields 84 (4, 2024) 363, arXiv:2309.12793 [hep-ph]

  24. [25]

    The GENIE Neutrino Monte Carlo Generator

    C. Andreopoulos et al., “The GENIE Neutrino Monte Carlo Generator,” Nucl. Instrum. Meth. A614 (2010) 87–104, arXiv:0905.2517 [hep-ph]

  25. [26]

    The GENIE Neutrino Monte Carlo Generator: Physics and User Manual

    C. Andreopoulos et al., “The GENIE Neutrino Monte Carlo Generator: Physics and User Manual,” arXiv:1510.05494 [hep-ph]

  26. [27]

    Neutrino-nucleon cross-section model tuning in GENIE v3,

    GENIE Collaboration, “Neutrino-nucleon cross-section model tuning in GENIE v3,” Phys. Rev. D 104 (2021) no. 7, 072009, arXiv:2104.09179 [hep-ph]

  27. [28]

    GEANT4–a simulation toolkit,

    GEANT4 Collaboration, “GEANT4–a simulation toolkit,” Nucl. Instrum. Meth. A 506 (2003) 250–303

  28. [29]

    The ATLAS Collaboration Software and Firmware

    ATLAS Collaboration, “The ATLAS Collaboration Software and Firmware.” ATL-SOFT-PUB-2021-001,

  29. [30]

    https://cds.cern.ch/record/2767187

  30. [31]

    A Common Tracking Software Project,

    X. Ai et al., “A Common Tracking Software Project,” Comput. Softw. Big Sci. 6 (2022) no. 1, 8, arXiv:2106.13593 [physics.ins-det]

  31. [32]

    Dembinski, P

    H. Dembinski et al., “scikit-hep/iminuit,”. https://doi.org/10.5281/zenodo.3949207

  32. [33]

    Modeling Deep Inelastic Cross Sections in the Few GeV Region

    A. Bodek et al., “Modeling deep inelastic cross-sections in the few GeV region,” Nucl. Phys. B Proc. Suppl. 112 (2002) 70–76, arXiv:hep-ex/0203009

  33. [34]

    Improved low Q2 model for neutrino and electron nucleon cross sections in few GeV region

    A. Bodek et al., “Improved low Q**2 model for neutrino and electron nucleon cross sections in few GeV region,” Nucl. Phys. B Proc. Suppl. 139 (2005) 113–118, arXiv:hep-ph/0411202

  34. [35]

    Axial and Vector Structure Functions for Electron- and Neutrino- Nucleon Scattering Cross Sections at all $Q^2$ using Effective Leading order Parton Distribution Functions

    A. Bodek et al., “Axial and Vector Structure Functions for Electron- and Neutrino- Nucleon Scattering Cross Sections at all Q2 using Effective Leading order Parton Distribution Functions,” arXiv:1011.6592 [hep-ph]

  35. [36]

    Neutrino Structure Functions from GeV to EeV Energies,

    A. Candido et al., “Neutrino Structure Functions from GeV to EeV Energies,” JHEP 05 (2023) 149, arXiv:2302.08527 [hep-ph]

  36. [37]

    Neutrino cross sections: Interface of shallow- and deep-inelastic scattering for collider neutrinos,

    Y. S. Jeong and M. H. Reno, “Neutrino cross sections: Interface of shallow- and deep-inelastic scattering for collider neutrinos,” Phys. Rev. D 108 (2023) no. 11, 9 113010, arXiv:2307.09241 [hep-ph]

  37. [38]

    Strategies and performance of the CMS silicon tracker alignment during LHC Run 2,

    CMS Collaboration, “Strategies and performance of the CMS silicon tracker alignment during LHC Run 2,” Nucl. Instrum. Meth. A 1037 (2022) 166795, arXiv:2111.08757 [physics.ins-det]

  38. [39]

    Inclusive Interactions of High-Energy Neutrinos and anti-neutrinos in Iron,

    J. G. H. de Groot et al., “Inclusive Interactions of High-Energy Neutrinos and anti-neutrinos in Iron,” Z. Phys. C 1 (1979) 143

  39. [40]

    Cross-sections for Charged Current Neutrino and Anti-neutrino Interactions in the Energy Range 10-GeV to 50-GeV,

    D. C. Colley et al., “Cross-sections for Charged Current Neutrino and Anti-neutrino Interactions in the Energy Range 10-GeV to 50-GeV,” Z. Phys. C 2 (1979) 187

  40. [41]

    W. G. Seligman, A Next-to-Leading Order QCD Analysis of Neutrino - Iron Structure Functions at the Tevatron. PhD thesis, Nevis Labs, Columbia U., 1997

  41. [42]

    Total Neutrino and Anti-neutrino Charged Current Cross-section Measurements in 100-GeV, 160-GeV and 200-GeV Narrow Band Beams,

    J. P. Berge et al., “Total Neutrino and Anti-neutrino Charged Current Cross-section Measurements in 100-GeV, 160-GeV and 200-GeV Narrow Band Beams,” Z. Phys. C 35 (1987) 443

  42. [43]

    Total Cross-section for Neutrino Charged Current Interactions at 3-GeV and 9-GeV,

    Gargamelle Neutrino Propane, Aachen-Brussels-CERN-Ecole Poly-Orsay-Padua Collaboration, “Total Cross-section for Neutrino Charged Current Interactions at 3-GeV and 9-GeV,” Phys. Lett. B 84 (1979) 281–284

  43. [44]

    Total Cross-sections and Nucleon Structure Functions in the Gargamelle SPS Neutrino / Anti-neutrino Experiment,

    Gargamelle SPS Collaboration, “Total Cross-sections and Nucleon Structure Functions in the Gargamelle SPS Neutrino / Anti-neutrino Experiment,” Phys. Lett. B 104 (1981) 235–238

  44. [45]

    Energy Dependence of Total Cross-sections for Neutrino and Anti-neutrino Interactions at Energies Below 35-GeV,

    A. I. Mukhin et al., “Energy Dependence of Total Cross-sections for Neutrino and Anti-neutrino Interactions at Energies Below 35-GeV,” Sov. J. Nucl. Phys. 30 (1979) 528

  45. [46]

    Total cross-section measurements for muon-neutrino, anti-muon-neutrino interactions in 3-GeV - 30-GeV energy range with IHEP-JINR neutrino detector,

    V. B. Anikeev et al., “Total cross-section measurements for muon-neutrino, anti-muon-neutrino interactions in 3-GeV - 30-GeV energy range with IHEP-JINR neutrino detector,” Z. Phys. C 70 (1996) 39–46

  46. [47]

    Neutrino and Antineutrino Inclusive Charged-current Cross Section Measurements with the MINOS Near Detector

    MINOS Collaboration, “Neutrino and Antineutrino Inclusive Charged-current Cross Section Measurements with the MINOS Near Detector,” Phys. Rev. D 81 (2010) 072002, arXiv:0910.2201 [hep-ex]

  47. [48]

    A Precise Measurement of the Muon Neutrino-Nucleon Inclusive Charged Current Cross-Section off an Isoscalar Target in the Energy Range 2.5 < E_\nu < 40 GeV by NOMAD

    NOMAD Collaboration, “A Precise measurement of the muon neutrino-nucleon inclusive charged current cross-section off an isoscalar target in the energy range 2.5 < E(nu) < 40-GeV by NOMAD,” Phys. Lett. B 660 (2008) 19–25, arXiv:0711.1183 [hep-ex]

  48. [49]

    Precise Measurement of Neutrino and Anti-neutrino Differential Cross Sections

    NuTeV Collaboration, “Precise measurement of neutrino and anti-neutrino differential cross sections,” Phys. Rev. D 74 (2006) 012008, arXiv:hep-ex/0509010

  49. [50]

    Measurement of the νµ-N total cross section at 2–30 GeV in a SKAT neutrino experiment,

    D. Baranov et al., “Measurement of the νµ-N total cross section at 2–30 GeV in a SKAT neutrino experiment,” Phys. Lett. B 81 (1979) no. 2, 255–257

  50. [51]

    Measurement of the multi-TeV neutrino cross section with IceCube using Earth absorption

    IceCube Collaboration, “Measurement of the multi-TeV neutrino cross section with IceCube using Earth absorption,” Nature 551 (2017) 596–600, arXiv:1711.08119 [hep-ex]

  51. [52]

    Extracting the Energy-Dependent Neutrino-Nucleon Cross Section Above 10 TeV Using IceCube Showers

    M. Bustamante and A. Connolly, “Extracting the Energy-Dependent Neutrino-Nucleon Cross Section above 10 TeV Using IceCube Showers,” Phys. Rev. Lett. 122 (2019) no. 4, 041101, arXiv:1711.11043 [astro-ph.HE]

  52. [53]

    Measurement of the high-energy all-flavor neutrino-nucleon cross section with IceCube,

    IceCube Collaboration, “Measurement of the high-energy all-flavor neutrino-nucleon cross section with IceCube,”Phys. Rev. D 104 (Jul, 2021) 022001, arXiv:2011.03560 [hep-ex]

  53. [54]

    Report on Tests and Measurements of Hadronic Interaction Properties with Air Showers

    H. P. Dembinski et al., “Report on Tests and Measurements of Hadronic Interaction Properties with Air Showers,” EPJ Web of Conferences 210 (2019) 02004, arXiv:1902.08124 [astro-ph.HE]

  54. [55]

    The Muon Puzzle in Cosmic-Ray Induced Air Showers and Its Connection to the Large Hadron Collider,

    J. Albrecht et al., “The Muon Puzzle in Cosmic-Ray Induced Air Showers and Its Connection to the Large Hadron Collider,”Astrophysics and Space Science 367 (3, 2022) 27, arXiv:2105.06148 [astro-ph.HE]

  55. [56]

    An Explanation of the Muon Puzzle of Ultrahigh-Energy Cosmic Rays and the Role of the Forward Physics Facility for Model Improvement,

    L. A. Anchordoqui et al., “An Explanation of the Muon Puzzle of Ultrahigh-Energy Cosmic Rays and the Role of the Forward Physics Facility for Model Improvement,”Journal of High Energy Astrophysics 34 (6, 2022) 19–32, arXiv:2202.03095 [hep-ph]

  56. [57]

    Update on the Combined Analysis of Muon Measurements from Nine Air Shower Experiments,

    EAS-MSU, IceCube, KASCADE-Grande, NEVOD-DECOR, Pierre Auger, SUGAR, Telescope Array, Yakutsk EAS Array Collaboration, D. Soldin, “Update on the Combined Analysis of Muon Measurements from Nine Air Shower Experiments,” PoS ICRC2021 (2021) 349, arXiv:2108.08341 [astro-ph.HE]

  57. [58]

    First Measurement of the Muon Neutrino Interaction Cross Section and Flux as a Function of Energy at the LHC with FASER

    FASER Collaboration, “First Measurement of the Muon Neutrino Interaction Cross Section and Flux as a Function of Energy at the LHC with FASER.” HEPData (collection), 2025. https://doi.org/10.17182/hepdata.156838.v1

  58. [59]

    Hadronic interaction model Sibyll 2.3d and extensive air showers,

    F. Riehn et al., “Hadronic interaction model Sibyll 2.3d and extensive air showers,” Phys. Rev. D 102 (2020) no. 6, 063002, arXiv:1912.03300 [hep-ph]

  59. [60]

    Monte Carlo treatment of hadronic interactions in enhanced Pomeron scheme: I. QGSJET-II model

    S. Ostapchenko, “Monte Carlo treatment of hadronic interactions in enhanced Pomeron scheme: I. QGSJET-II model,” Phys. Rev. D83 (2011) 014018, arXiv:1010.1869 [hep-ph]

  60. [61]

    Tuning pythia for forward physics experiments,

    M. Fieg et al., “Tuning pythia for forward physics experiments,” Phys. Rev. D 109 (2024) no. 1, 016010, arXiv:2309.08604 [hep-ph]

  61. [62]

    Improving proton-induced one-nucleon removal in intranuclear cascade

    D. Mancusi et al., “Improving the description of proton-induced one-nucleon removal in intranuclear-cascade models,” Phys. Rev. C 91 (2015) no. 3, 034602, arXiv:1411.4562 [nucl-th]

  62. [63]

    New Standard Evaluated Neutron Cross Section Libraries for the GEANT4 Code and First Verification,

    E. Mendoza et al., “New Standard Evaluated Neutron Cross Section Libraries for the GEANT4 Code and First Verification,” IEEE Transactions on Nuclear Science 61 (2014) 2357–2364

  63. [64]

    Update of the Evaluated Neutron Cross Section Libraries for the Geant4 Code,

    E. Mendoza et al., “Update of the Evaluated Neutron Cross Section Libraries for the Geant4 Code,” tech. rep., International Atomic Energy Agency (IAEA), 2018

  64. [65]

    The Joint Evaluated Fission and Fusion Nuclear Data Library, JEFF-3.3,

    A. J. M. Plompen et al., “The Joint Evaluated Fission and Fusion Nuclear Data Library, JEFF-3.3,” Eur. Phys. J. A 56 (2020) no. 7, 181

  65. [66]

    ENDF/B-VIII.0: The 8th Major Release of the Nuclear Reaction Data Library with CIELO-project Cross Sections, New Standards and Thermal Scattering Data,

    D. A. Brown et al., “ENDF/B-VIII.0: The 8th Major Release of the Nuclear Reaction Data Library with CIELO-project Cross Sections, New Standards and Thermal Scattering Data,” Nuclear Data Sheets 148 (2018) 1–142. 10 APPENDIX Appendix A: Geometric Muon Background The distribution of the transverse distance from the detector axis of the track when extrapolat...