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arxiv: 2605.15539 · v1 · pith:MUOV72L5new · submitted 2026-05-15 · ⚛️ nucl-ex · nucl-th

Muon Nuclear Data Development Project

Pith reviewed 2026-05-19 14:26 UTC · model grok-4.3

classification ⚛️ nucl-ex nucl-th
keywords muon capturenuclear data librarymuonic atomsmuon-induced reactionsdata evaluationparticle spectrabranching ratios
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The pith

Japan launches the Muon Nuclear Data project to build the first dedicated library for muon capture reactions.

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

Negative muon-induced nuclear reactions matter for applications across physics and technology, yet no comprehensive nuclear data library exists for them. The Muon Nuclear Data Development Project addresses this by constructing a library with four sub-libraries covering muonic X-ray energies and intensities, muonic atom lifetimes and capture rates, energy spectra of emitted particles, and production branching ratios of residual nuclei. The work combines new measurements, theoretical calculations, and machine learning to evaluate and compile the data. A sympathetic reader would care because reliable data would make muon-based experiments and simulations far more accurate and reproducible.

Core claim

The project constructs a dedicated data library for muon capture reactions that consists of four sub-libraries: muonic X-ray energies and intensities (XR), lifetimes of muonic atoms and nuclear capture rates (LT), energy spectra of emitted particles (ES), and production branching ratios of residual nuclei (BR), compiled through the integration of experimental measurements, theoretical modeling, and machine learning techniques.

What carries the argument

The Muon Nuclear Data (muND) library built from four sub-libraries (XR, LT, ES, BR) that together provide evaluated data for muon capture processes.

If this is right

  • Applications that rely on muon capture, such as muon spectroscopy or radiation studies, gain standardized inputs for modeling.
  • Muonic atom lifetime and capture rate data become available in a single evaluated format for multiple elements.
  • Energy spectra and residual nucleus branching ratios allow more precise predictions of reaction products.
  • The library supports both basic nuclear physics research and applied technology development using negative muons.

Where Pith is reading between the lines

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

  • A working library would reduce the need for repeated ad-hoc calculations in muon-related experiments.
  • Machine learning components could identify correlations between nuclear properties and muon capture outcomes that are not yet captured by conventional models.
  • The project structure suggests that similar dedicated libraries could later be developed for related processes such as pion capture.

Load-bearing premise

Experimental measurements, theoretical modeling, and machine learning techniques can be successfully integrated to compile and evaluate reliable data across the four sub-libraries.

What would settle it

New independent measurements of muon capture rates or particle emission spectra on well-characterized targets that deviate systematically from the evaluated values in the muND library.

Figures

Figures reproduced from arXiv: 2605.15539 by Adrian Hillier, Dai Tomono, Futoshi Minato, Hiroki Iwamoto, Megumi Niikura, Naritoshi Kawamura, Rurie Mizuno, Sayani Biswas, Shinichiro Abe, Shoichiro Kawase, Teiichiro Matsuzaki, Yuji Yamaguchi, Yukinobu Watanabe.

Figure 1
Figure 1. Figure 1: schematically illustrates the interaction be￾tween a negative muon and an atom. A negative muon is initially captured into an atomic orbit, forming a muonic atom. Then the captured muon cascades down to the 1s state by emitting Auger electrons and muonic X-rays. Subsequently, the muon either decays into an electron or is captured by the nucleus via the weak interaction. The process indicated by the orange … view at source ↗
read the original abstract

Negative muon-induced nuclear reactions play a critical role in a wide range of scientific and technological applications; however, comprehensive nuclear data for these processes remain unavailable. To address this gap, we have launched the Muon Nuclear Data (muND) Development Project in Japan, aiming to construct a dedicated data library for muon capture reactions. The library consists of four sub-libraries: muonic X-ray energies and intensities (XR), lifetimes of muonic atoms and nuclear capture rates (LT), energy spectra of emitted particles (ES), and production branching ratios of residual nuclei (BR). This project integrates experimental measurements, theoretical modeling, and machine learning techniques to compile and evaluate the data. We report the current status and recent progress of each sub-library.

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

0 major / 2 minor

Summary. The manuscript announces the launch of the Muon Nuclear Data (muND) Development Project in Japan to construct a dedicated data library for muon capture reactions. The library consists of four sub-libraries: muonic X-ray energies and intensities (XR), lifetimes of muonic atoms and nuclear capture rates (LT), energy spectra of emitted particles (ES), and production branching ratios of residual nuclei (BR). The project integrates experimental measurements, theoretical modeling, and machine learning techniques to compile and evaluate the data, reporting the current status and recent progress of each sub-library.

Significance. If successful, the muND library would fill a critical gap in nuclear data for muon-induced reactions, supporting a wide range of applications in physics and technology. The project's multi-method approach, if it produces validated data, represents a valuable contribution to the field.

minor comments (2)
  1. [Abstract] The claim of reporting 'current status and recent progress' would be strengthened by including at least one concrete example or preliminary result from the sub-libraries.
  2. Ensure consistent use of acronyms like muND, XR, LT, ES, and BR throughout the manuscript.

Simulated Author's Rebuttal

0 responses · 0 unresolved

We thank the referee for their positive evaluation of the manuscript describing the Muon Nuclear Data (muND) Development Project and for recommending minor revision. The work outlines the launch of a dedicated library for muon capture reactions, structured into four sub-libraries (XR, LT, ES, and BR) that integrate experimental measurements, theoretical modeling, and machine learning. We address the referee's comments point by point below.

Circularity Check

0 steps flagged

No significant circularity: descriptive project overview only

full rationale

The manuscript is a project announcement describing the launch of the muND library and its four sub-libraries (XR, LT, ES, BR), along with high-level plans to integrate experimental measurements, theoretical modeling, and machine learning. No quantitative results, derivations, equations, predictions, or fitted parameters are presented anywhere in the text. The central claim concerns the existence and structure of the project itself rather than any scientific output that could reduce to its own inputs by construction or self-citation. The derivation chain is therefore empty, and the paper is self-contained against external benchmarks.

Axiom & Free-Parameter Ledger

0 free parameters · 0 axioms · 0 invented entities

The abstract provides no explicit free parameters, axioms, or invented entities; the project implicitly relies on standard nuclear physics frameworks for muon capture without detailing any new postulates or fitted quantities.

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Reference graph

Works this paper leans on

25 extracted references · 25 canonical work pages · 1 internal anchor

  1. [1]

    Niikura, S

    M. Niikura, S. Abe, S. Kawase, T. Matsuzaki, F. Minato, R. Mizuno, Y . Watanabe, Y . Yamaguchi, Muon Nuclear Data, inProceedings of the Joint Sym- posium on Nuclear Data and PHITS in 2023, JAEA- Conf2024-002, pp. 29–34 (2024). 10.11484/jaea- conf-2024-002

  2. [2]

    T. Y . Saito, M. Niikura, T. Matsuzaki, H. Saku- rai, M. Igashira, H. Imao, K. Ishida, T. Katabuchi, Y . Kawashima, M. K. Kubo et al., Muonic x-ray measurement for the nuclear charge distribution: The case of stable palladium isotopes, Phys. Rev. C.111, 034313 (2025). 10.1103/PhysRevC.111.034313

  3. [3]

    Mizuno, M

    R. Mizuno, M. Niikura, T. Y . Saito, T. Matsuzaki, H. Sakurai, A. Amato, S. Asari, S. Biswas, I. Chiu, L. Gerchow et al., Development of wide range pho- ton detection system for muonic X-ray spectroscopy, Nucl. Instrum. Methods Phys. Res. A1060, 169029 (2024). 10.1016/j.nima.2023.169029

  4. [4]

    Bjorklund, S

    M. Bjorklund, S. Foxley, T. Agoro, S. Basak, J. Lord, S. Biswas, K. Butler, A. Hillier, EV A: A User- Friendly Analysis Package for Negative Muon Ele- mental Analysis, J. Phys.: Conf. Ser. (2026) in press

  5. [5]

    com/ISISMuon/EV A (accessed May 2026)

    EV A - Elemental Visual Analysis, https://github. com/ISISMuon/EV A (accessed May 2026)

  6. [6]

    Sturniolo, A

    S. Sturniolo, A. Hillier, Mudirac: A dirac equation solver for elemental analysis with muonic x-rays, X- ray Spectrom.50, 180 (2021). 10.1002/xrs.3212

  7. [7]

    MuDirac 1.3.0: A Sustainable Software Tool for Calculating Ground State Nuclear Properties Using Muonic X-Ray Measurements

    L. Liborio, M. Kumar, S. Devadasan, P. Jones, M. Plummer, A. Hillier, A. Bartok, MuDirac 1.3.0: A Sustainable Software Tool for Calculating Ground State Nuclear Properties Using Muonic X-Ray Measurements, arXiv:2605.00554 [physics.comp- ph] (2026). 10.48550/arXiv.2605.00554

  8. [8]

    MuDirac, https://github.com/ muon-spectroscopy-computational-project/mudirac (accessed May 2026)

  9. [9]

    Suzuki, D

    T. Suzuki, D. F. Measday, J. P. Roalsvig, Total nu- clear capture rates for negative muons, Phys. Rev. C 35, 2212 (1987). 10.1103/PhysRevC.35.2212

  10. [12]

    Mizuno, M

    R. Mizuno, M. Niikura, S. Akamatsu, T. Fujiie, K. Ishida, T. Ito, T. Kikuchi, T. Matsuzaki, F. Mi- nato, J. Murata et al., Lifetime measurement of the muonic atoms of enriched Si isotopes, Phys. Rev. C. 112, 024307 (2025). 10.1103/vl7z-rzp8

  11. [13]

    Kawase, T

    S. Kawase, T. Murota, H. Fukuda, M. Oishi, T. Kawata, K. Kitafuji, S. Manabe, Y . Watanabe, H. Nishibata, S. Go et al., Effect of large-angle in- cidence on particle identification performance for light-charged (Z≤2) particles by pulse shape anal- ysis with a pad-type nTD silicon detector, Nucl. In- strum. Methods Phys. Res. A1059, 168984 (2024). 10.1016/...

  12. [14]

    Kawase, K

    S. Kawase, K. Kitafuji, T. Kawata, Y . Watanabe, M. Niikura, T. Matsuzaki, K. Ishida, R. Mizuno, D. Tomono, A. D. Hillier et al., arXiv:2601.09106 [nucl-ex] (2026). 10.48550/arXiv.2601.09106

  13. [15]

    T. Y . Saito, M. Niikura, T. Matsuzaki, S. Abe, K. Ishida, S. Kawase, Y . Kawashima, T. Koiwai, K. Matsui, S. Momiyama et al., arXiv:2508.00377 [nucl-ex] (2025). 10.48550/arXiv.2508.00377

  14. [16]

    Lebreuilly, Physical Review A96, 10.1103/Phys- RevA.96.033828 (2017)

    M. Niikura, T. Y . Saito, T. Matsuzaki, K. Ishida, A. Hillier, Measurement of the production branch- ing ratios following nuclear muon capture for palla- dium isotopes using the in-beam activation method, Phys. Rev. C.109, 014328 (2024). 10.1103/Phys- RevC.109.014328

  15. [17]

    Yamaguchi, M

    Y . Yamaguchi, M. Niikura, R. Mizuno, M. Tampo, M. Harada, N. Kawamura, I. Umegaki, S. Takeshita, K. Haga, Measurement of radionuclide production probabilities in negative muon nuclear capture and validation of Monte Carlo simulation model, Nucl. Instrum. Methods Phys. Res. B567, 165801 (2025). 10.1016/j.nimb.2025.165801

  16. [18]

    Mizuno, M

    R. Mizuno, M. Niikura, T. Y . Saito, T. Matsuzaki, S. Abe, H. Fukuda, M. Hashimoto, A. D. Hillier, K. Ishida, N. Kawamura et al., Measurement of pro- duction branching ratio after muon nuclear capture reaction of Al and Si isotopes, Phys. Rev. C.112, 054305 (2025). 10.1103/kycz-qprw

  17. [19]

    T. Sato, Y . Iwamoto, S. Hashimoto, T. Ogawa, T. Furuta, S. Abe, T. Kai, Y . Matsuya, N. Matsuda, Y . Hirata et al., Recent improvements of the parti- cle and heavy ion transport code system – PHITS version 3.33, J. Nucl. Sci. Technol.61, 127 (2024). 10.1080/00223131.2023.2275736

  18. [20]

    S. Abe, T. Sato, Implementation of muon interac- tion models in PHITS, J. Nucl. Sci. Technol.54, 101 (2017). 10.1080/00223131.2016.1210043

  19. [21]

    Minato, T

    F. Minato, T. Naito, O. Iwamoto, Nuclear many-body effects on particle emission following muon capture on 28Si and 40Ca, Phys. Rev. C.107, 054314 (2023). 10.1103/PhysRevC.107.054314

  20. [22]

    Singer, Neutron emission following muon capture in heavy nuclei, Il Nuovo Cimento23, 669 (1962)

    P. Singer, Neutron emission following muon capture in heavy nuclei, Il Nuovo Cimento23, 669 (1962). 10.1007/bf02732735

  21. [23]

    Niita, S

    K. Niita, S. Chiba, T. Maruyama, H. Takada, T. Fukahori, Y . Nakahara, A. Iwamoto, Analysis of the (N,xN ′ ) reactions by quantum molecular dynam- ics plus statistical decay model, Phys. Rev. C52, 2620 (1995). 10.1103/PhysRevC.52.2620

  22. [24]

    Furihata, Statistical analysis of light fragment pro- duction from medium energy proton-induced reac- tions, Nucl

    S. Furihata, Statistical analysis of light fragment pro- duction from medium energy proton-induced reac- tions, Nucl. Instrum. Methods Phys. Res. B171, 251 (2000). 10.1016/s0168-583x(00)00332-3

  23. [25]

    Furihata, inAdvanced Monte Carlo for Radia- tion Physics, Particle Transport Simulation and Ap- plications(Springer Berlin Heidelberg, Berlin, Hei- delberg, 2001), pp

    S. Furihata, inAdvanced Monte Carlo for Radia- tion Physics, Particle Transport Simulation and Ap- plications(Springer Berlin Heidelberg, Berlin, Hei- delberg, 2001), pp. 1045–1050

  24. [26]

    Watanabe, D

    Y . Watanabe, D. N. Kadrev, Extension of quan- tum molecular dynamics for production of light complex particles in nucleon-induced reactions, in ND2007, International Conference on Nuclear Data for Science and Technology, pp. 1121–1124 (2008). 10.1051/ndata:07196

  25. [27]

    Sl(3, r) representation for invariance transformations in five-dimensional gravity

    M. Lifshitz, P. Singer, Meson-exchange currents and energetic particle emission fromµ − capture, Nucl. Phys. A476, 684 (1988). 10.1016/0375- 9474(88)90330-2