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arxiv: 2606.13062 · v1 · pith:E6P7LGCInew · submitted 2026-06-11 · ✦ hep-ex

Optimization of muon suppression using sweeper magnets for the Forward Physics Facility at the HL-LHC

Pith reviewed 2026-06-27 05:22 UTC · model grok-4.3

classification ✦ hep-ex
keywords muon suppressionsweeper magnetsForward Physics FacilityHL-LHCneutrino detectorsbackground reductionparticle transport simulation
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The pith

A multi-stage sweeper magnet system reduces forward muon flux at the FPF from 3.8×10³ to 1.5×10³ cm⁻² per fb⁻¹.

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

The paper examines how sweeper magnets can suppress the high flux of forward muons that would otherwise overwhelm neutrino detectors in the Forward Physics Facility at the High-Luminosity LHC. Simulations combining event generation, beam transport, and particle tracking show that one magnet placed in the LHC tunnel brings the flux down to the target value of 2×10³ cm⁻² per fb⁻¹. Adding two more magnets at the TI18 tunnel and FPF entrance lowers the flux further to 1.5×10³ cm⁻² per fb⁻¹. The work shows that realistic geometry and transport modeling are required to reach these levels of suppression.

Core claim

Starting from a muon flux of 3.8×10³ cm⁻² per fb⁻¹ without magnets, a magnet in the LHC tunnel alone achieves the target level of 2×10³ cm⁻² per fb⁻¹. Additional magnets at the TI18 tunnel and FPF entrance further reduce the flux to 1.5×10³ cm⁻² per fb⁻¹ in the optimized configuration. These results demonstrate that a properly optimized multi-stage sweeper magnet system can significantly reduce the forward muon background, while also highlighting the importance of realistic transport simulations and geometrical constraints in achieving further suppression.

What carries the argument

A multi-stage sweeper magnet system evaluated through a chained simulation of SIBYLL event generation, BDSIM beam transport, Geant4 tracking, and measured magnetic field maps.

If this is right

  • A single magnet in the LHC tunnel meets the minimum target flux of 2×10³ cm⁻² per fb⁻¹.
  • Two additional magnets at the TI18 tunnel and FPF entrance produce an extra 25 percent reduction.
  • Geometrical constraints of the existing tunnels limit how much further suppression is possible.
  • Realistic magnetic field maps and transport modeling are essential for reliable predictions.
  • The optimized layout enables high-statistics TeV neutrino measurements without excessive muon background.

Where Pith is reading between the lines

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

  • The same multi-stage deflection approach could be adapted for other forward detectors at hadron colliders facing similar muon backgrounds.
  • Refining magnet strengths or adding passive shielding might yield further reductions beyond the three-magnet baseline.
  • If the simulation overestimates deflection efficiency, actual performance could fall short of the reported 1.5×10³ value.

Load-bearing premise

The combined simulation framework accurately predicts the actual muon flux and suppression inside the real FPF geometry and tunnel layout.

What would settle it

Direct measurement of the muon flux at the FPF detector location after installation of the three-magnet configuration, compared against the simulated value of 1.5×10³ cm⁻² per fb⁻¹.

Figures

Figures reproduced from arXiv: 2606.13062 by Akitaka Ariga, Alex Keyken, Daiki Hayakawa, Elena Firu, Enrique Kajomovitz, Haruhi Fujimori, Jamie Boyd, Jeremy Atkinson, Ken Ohashi, Kohei Chinone, Laurie Nevay, Radu Dobre, Simon Thor, Stephen Gibson, Tomoko Ariga, Umut Kose.

Figure 1
Figure 1. Figure 1: FIG. 1: Schematic view of the proposed location of the Forward Physics Facility (FPF) [13]. The [PITH_FULL_IMAGE:figures/full_fig_p002_1.png] view at source ↗
Figure 2
Figure 2. Figure 2: FIG. 2: Input muon distributions obtained from the BDSIM simulation at a position 370 m [PITH_FULL_IMAGE:figures/full_fig_p004_2.png] view at source ↗
Figure 3
Figure 3. Figure 3: FIG. 3: Muon density distributions in the [PITH_FULL_IMAGE:figures/full_fig_p006_3.png] view at source ↗
Figure 4
Figure 4. Figure 4: FIG. 4: Schematic view of the LHC beamline and the candidate locations for the sweeper magnet [PITH_FULL_IMAGE:figures/full_fig_p007_4.png] view at source ↗
Figure 5
Figure 5. Figure 5: FIG. 5: Cross sections of the magnet configurations considered for each installation location. The [PITH_FULL_IMAGE:figures/full_fig_p008_5.png] view at source ↗
Figure 6
Figure 6. Figure 6: FIG. 6: Magnetic flux density distributions obtained from two-dimensional finite-element [PITH_FULL_IMAGE:figures/full_fig_p009_6.png] view at source ↗
Figure 7
Figure 7. Figure 7: FIG. 7: Left: schematic illustration of the definitions of the magnet length [PITH_FULL_IMAGE:figures/full_fig_p010_7.png] view at source ↗
Figure 8
Figure 8. Figure 8: shows the residual ratio R for the different magnet configurations and placement con￾ditions. In general, configurations shifted toward negative x achieve stronger suppression than configurations centered on the LoS. This behavior reflects the asymmetric muon distribution pro￾duced by the LHC lattice and downstream beamline geometry, which favors magnet placements shifted toward the beam-pipe side. Longer … view at source ↗
Figure 9
Figure 9. Figure 9: FIG. 9: Comparison of the muon energy distributions for the representative LHC-A magnet [PITH_FULL_IMAGE:figures/full_fig_p011_9.png] view at source ↗
Figure 10
Figure 10. Figure 10: FIG. 10: Transverse muon distributions at the TI18 location (480 m) for muons reaching the [PITH_FULL_IMAGE:figures/full_fig_p012_10.png] view at source ↗
Figure 11
Figure 11. Figure 11: FIG. 11: Transverse muon profiles at the FASER [PITH_FULL_IMAGE:figures/full_fig_p013_11.png] view at source ↗
read the original abstract

The Forward Physics Facility (FPF) at the High-Luminosity LHC (HL-LHC) will enable high-statistics measurements of TeV-scale neutrinos, but the intense flux of forward muons poses a major challenge for neutrino detectors in the far-forward region. We investigate the suppression of background muons using sweeper magnets with a simulation framework combining SIBYLL event generation, BDSIM beam transport, Geant4 particle tracking, and realistic magnetic field maps. Starting from a muon flux of $3.8\times10^3~\mathrm{cm^{-2}}$ per $\mathrm{fb^{-1}}$ without magnets, a magnet in the LHC tunnel alone achieves the target level of $2\times10^3~\mathrm{cm^{-2}}$ per $\mathrm{fb^{-1}}$. Additional magnets at the TI18 tunnel and FPF entrance further reduce the flux to $1.5\times10^3~\mathrm{cm^{-2}}$ per $\mathrm{fb^{-1}}$ in the optimized configuration. These results demonstrate that a properly optimized multi-stage sweeper magnet system can significantly reduce the forward muon background, while also highlighting the importance of realistic transport simulations and geometrical constraints in achieving further suppression.

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 / 1 minor

Summary. The manuscript presents a simulation study optimizing sweeper magnets to suppress forward muon background for the FPF at HL-LHC. Combining SIBYLL event generation, BDSIM beam transport, Geant4 tracking, and realistic field maps, it reports that a magnet in the LHC tunnel alone reduces the muon flux from 3.8×10³ to the target 2×10³ cm^{-2} fb^{-1}, while an optimized multi-stage system with additional magnets in TI18 and at the FPF entrance achieves 1.5×10³ cm^{-2} fb^{-1}.

Significance. If the simulation chain proves accurate, the results are significant for enabling the FPF neutrino program by quantifying a practical background mitigation strategy. The emphasis on multi-stage placement and geometrical constraints adds value beyond single-magnet studies. The use of established codes with realistic maps is a methodological strength.

major comments (2)
  1. [Abstract] Abstract: the headline flux reductions (3.8×10³ → 1.5×10³ cm^{-2} fb^{-1}) are reported without uncertainties, error bars, or sensitivity studies to SIBYLL/BDSIM/Geant4 modeling choices; this directly limits in the quantitative suppression factors.
  2. [Simulation framework] Simulation framework section: no validation of the combined SIBYLL+BDSIM+Geant4 chain against existing forward muon data or alternative codes is described, leaving the load-bearing assumption that the model accurately predicts real muon transport in the LHC tunnel/TI18/FPF geometry untested.
minor comments (1)
  1. Consider adding a summary table of flux values for each magnet configuration to improve readability of the optimization results.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for the detailed review and constructive comments on our simulation study. We address each major comment below, indicating where revisions will be made to strengthen the manuscript.

read point-by-point responses
  1. Referee: [Abstract] Abstract: the headline flux reductions (3.8×10³ → 1.5×10³ cm^{-2} fb^{-1}) are reported without uncertainties, error bars, or sensitivity studies to SIBYLL/BDSIM/Geant4 modeling choices; this directly limits in the quantitative suppression factors.

    Authors: We agree that the absence of uncertainties and sensitivity studies limits the strength of the quantitative claims. The reported fluxes are the direct outputs from the baseline simulation configuration. In the revised manuscript we will add statistical uncertainties from the Monte Carlo samples, perform limited sensitivity studies by varying key parameters (e.g., muon spectrum in SIBYLL and transport cuts in BDSIM/Geant4), and update the abstract and results section accordingly. revision: yes

  2. Referee: [Simulation framework] Simulation framework section: no validation of the combined SIBYLL+BDSIM+Geant4 chain against existing forward muon data or alternative codes is described, leaving the load-bearing assumption that the model accurately predicts real muon transport in the LHC tunnel/TI18/FPF geometry untested.

    Authors: We acknowledge that an integrated validation of the full chain is not presented. Individual components have been validated in the literature (SIBYLL for forward production, BDSIM for beam transport, Geant4 for tracking), but end-to-end validation against forward muon data is limited by the lack of existing measurements in this geometry. In revision we will expand the simulation framework section with references to prior component validations, a brief discussion of potential systematic uncertainties, and a note on this limitation. revision: partial

Circularity Check

0 steps flagged

No significant circularity; results are direct simulation outputs

full rationale

The paper's central results are quantitative muon flux reductions obtained from a chained simulation pipeline (SIBYLL event generation + BDSIM transport + Geant4 tracking with supplied field maps). These outputs do not reduce to fitted parameters, self-definitions, or self-citation chains; the suppression factors are computed forward from the input geometry and physics models without any reported parameter tuning that would make the headline numbers tautological. No load-bearing uniqueness theorems, ansatzes, or renamings of known results are invoked. The derivation is therefore self-contained against external benchmarks.

Axiom & Free-Parameter Ledger

1 free parameters · 1 axioms · 0 invented entities

The central claim rests on the fidelity of the Monte Carlo chain and the chosen magnet parameters; no new physical entities are postulated.

free parameters (1)
  • magnet positions and field strengths
    Chosen and optimized within the simulation to achieve the reported flux reductions.
axioms (1)
  • domain assumption SIBYLL, BDSIM, and Geant4 models plus supplied magnetic field maps correctly describe muon production, transport, and deflection in the LHC forward region and TI18/FPF geometry.
    All quantitative results depend on these simulation packages matching reality.

pith-pipeline@v0.9.1-grok · 5807 in / 1211 out tokens · 24629 ms · 2026-06-27T05:22:58.718668+00:00 · methodology

discussion (0)

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Reference graph

Works this paper leans on

20 extracted references · 8 canonical work pages · 1 internal anchor

  1. [1]

    INTRODUCTION The forward region of high-energy proton–proton collisions provides a unique environment to study weakly interacting particles at the TeV scale. In particular, collider neutrinos produced in the far-forward direction carry valuable information on particle production mechanisms in proton– proton collisions and on neutrino interactions at energ...

  2. [2]

    The simulation consists of a multi-stage chain combining proton–proton collision event generation, beamline transport, particle tracking, and magnetic field modeling

    SIMULATION FRAMEWORK A comprehensive simulation framework is developed to evaluate the suppression of background muons by a sweeper magnet system. The simulation consists of a multi-stage chain combining proton–proton collision event generation, beamline transport, particle tracking, and magnetic field modeling. The initial particle distributions are gene...

  3. [3]

    MAGNET SYSTEM 3.1. Conceptual study of muon deflection and scattering To gain qualitative insight into the interplay between magnetic deflection and multiple scat- tering, a simplified toy Monte Carlo study was performed. Muons were generated with a uniform distribution in the transverse (x) direction and propagated along thez-axis. In this study, only ma...

  4. [4]

    Unless otherwise noted, the evaluation region corresponds to the current detector geometry of 25 cm×64 cm

    EVALUATION METRICS The performance of the sweeper magnet configurations is evaluated at the upstream surface of the FASERν2 detector (z= 641 m). Unless otherwise noted, the evaluation region corresponds to the current detector geometry of 25 cm×64 cm. For each configuration, the weighted muon yield in the evaluation region is calculated asN=P i wi, wherew...

  5. [5]

    Muon suppression with magnets in the LHC tunnel We first evaluate the suppression of background muons using magnets installed in the LHC tunnel

    RESULTS 5.1. Muon suppression with magnets in the LHC tunnel We first evaluate the suppression of background muons using magnets installed in the LHC tunnel. Four magnet configurations, denoted LHC-A to LHC-D, are studied by varying the magnet lengthℓand transverse offset ∆x. The magnets are installed parallel to the tunnel axis, as illustrated in Fig. 7....

  6. [6]

    CONCLUSION In this study, we investigated the suppression of background muons for the FASERν2 experiment using sweeper magnet systems installed upstream of the detector. A comprehensive simulation framework was developed by combining SIBYLL event generation, BDSIM beam transport, Geant4 particle tracking, and realistic magnetic field maps calculated with ...

  7. [7]

    FASER: ForwArd Search ExpeRiment at the LHC

    J. L. Feng, I. Galon, F. Kling, and S. Trojanowski, “ForwArd Search ExpeRiment at the LHC,”Phys. Rev. D97(2018) no. 3, 035001,arXiv:1708.09389 [hep-ph]. [2]FASERCollaboration, “Technical Proposal for FASER: ForwArd Search ExpeRiment at the LHC,” arXiv:1812.09139 [physics.ins-det]. [3]FASERCollaboration, “Detecting and Studying High-Energy Collider Neutrin...

  8. [8]

    Neutrino Experiments at the Large Hadron Collider,

    A. Ariga, J. Boyd, F. Kling, and A. De Roeck, “Neutrino Experiments at the Large Hadron Collider,” Ann. Rev. Nucl. Part. Sci.75(2025) no. 1, 57–81,arXiv:2501.10078 [hep-ex]

  9. [9]

    The Forward Physics Facility: Sites, experiments, and physics potential,

    L. A. Anchordoquiet al., “The Forward Physics Facility: Sites, experiments, and physics potential,” Phys. Rept.968(2022) 1–50,arXiv:2109.10905 [hep-ph]

  10. [10]

    The Forward Physics Facility at the High-Luminosity LHC,

    J. L. Fenget al., “The Forward Physics Facility at the High-Luminosity LHC,”J. Phys. G50(2023) no. 3, 030501,arXiv:2203.05090 [hep-ex]

  11. [11]

    The forward physics facility: Physics opportunities and conceptual design,

    L. A. Anchordoquiet al., “The forward physics facility: Physics opportunities and conceptual design,”Nuclear Physics B1026(2026) 117398. https://www.sciencedirect.com/science/article/pii/S0550321326001069

  12. [12]

    Nuclear emulsions,

    A. Ariga, T. Ariga, G. D. Lellis, A. Ereditato, and K. Niwa, “Nuclear emulsions,”Particle Physics Reference Library: Volume 2: Detectors for Particles and Radiation(2020) 383–438

  13. [13]

    BDSIM: An accelerator tracking code with particle–matter interactions,

    L. J. Nevay, S. T. Boogert, J. Snuverink, A. Abramov, L. C. Deacon, H. Garcia-Morales, H. Lefebvre, S. M. Gibson, R. Kwee-Hinzmann, W. Shields, and S. D. Walker, “BDSIM: An accelerator tracking code with particle–matter interactions,”Comput. Phys. Commun.252(2020) 107200

  14. [14]

    Overview of the FLUKA code,

    G. Battistoniet al., “Overview of the FLUKA code,”Annals Nucl. Energy82(2015) 10–18

  15. [15]

    Comparison Between Run 2 TID Measurements and FLUKA Simulations in the CERN LHC Tunnel of the Atlas Insertion Region,

    D. Prelipcean, K. Bi lko, F. Cerutti, A. Ciccotelli, D. Di Francesca, R. Garc´ ıa Al´ ıa, B. Humann, G. Lerner, D. Ricci, and M. Sabat´ e-Gilarte, “Comparison Between Run 2 TID Measurements and FLUKA Simulations in the CERN LHC Tunnel of the Atlas Insertion Region,”JACoWIPAC2022 (2022) 732–735

  16. [16]

    Update on the FPF Facility technical studies

    J. Boydet al., “Update on the FPF Facility technical studies.” CERN-PBC-Notes-2023-002, 2023. Available at https://cds.cern.ch/record/2851822. [19]Geant4Collaboration, S. Agostinelliet al., “Geant4-a simulation toolkit,”Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment506(2003) n...

  17. [17]

    Hadronic interaction model Sibyll 2.3d and extensive air showers,

    F. Riehn, R. Engel, A. Fedynitch, T. K. Gaisser, and T. Stanev, “Hadronic interaction model Sibyll 2.3d and extensive air showers,”Phys. Rev. D102(2020) no. 6, 063002,arXiv:1912.03300 [hep-ph]

  18. [18]

    Cosmic Ray Monte Carlo Package, CRMC

    R. Ulrich, T. Pierog, and C. Baus, “Cosmic Ray Monte Carlo Package, CRMC.” Zenodo, Aug., 2021. https://doi.org/10.5281/zenodo.5270381. [22]FASERCollaboration, “Measurement of the flux, spatial, angular, and momentum distributions of muons with FASER experiment at the LHC.” CERN-FASER-2025-002. To be published

  19. [19]

    SND@HL-LHC, Scattering and Neutrino Detector in Run 4 of the LHC,

    D. Abbaneoet al., “SND@HL-LHC, Scattering and Neutrino Detector in Run 4 of the LHC,” tech. rep., CERN, Geneva, 2025.https://cds.cern.ch/record/2926288

  20. [20]

    Elmer finite element software

    CSC – IT Center for Science, “Elmer finite element software.”https://www.csc.fi/web/elmer. Accessed: 2026-05-05