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arxiv: 2507.18236 · v2 · submitted 2025-07-24 · ✦ hep-ex

Search for the lepton-flavor-violating τ⁻ rightarrow e^(mp) ell^(pm) ell^(mp) decays at Belle II

Belle II Collaboration: I. Adachi , L. Aggarwal , H. Ahmed , Y. Ahn , H. Aihara , N. Akopov , S. Alghamdi , M. Alhakami
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A. Aloisio N. Althubiti K. Amos M. Angelsmark N. Anh Ky C. Antonioli D. M. Asner H. Atmacan V. Aushev M. Aversano R. Ayad V. Babu H. Bae N. K. Baghel S. Bahinipati P. Bambade Sw. Banerjee S. Bansal M. Barrett M. Bartl J. Baudot A. Baur A. Beaubien F. Becherer J. Becker J. V. Bennett F. U. Bernlochner V. Bertacchi M. Bertemes E. Bertholet M. Bessner S. Bettarini V. Bhardwaj B. Bhuyan F. Bianchi T. Bilka D. Biswas A. Bobrov D. Bodrov A. Bondar G. Bonvicini J. Borah A. Boschetti A. Bozek M. Bra\v{c}ko P. Branchini N. Brenny T. E. Browder A. Budano S. Bussino Q. Campagna M. Campajola L. Cao G. Casarosa C. Cecchi M.-C. Chang R. Cheaib P. Cheema C. Chen L. Chen B. G. Cheon K. Chilikin J. Chin K. Chirapatpimol H.-E. Cho K. Cho S.-J. Cho S.-K. Choi S. Choudhury J. Cochran I. Consigny L. Corona J. X. Cui E. De La Cruz-Burelo S. A. De La Motte G. De Nardo G. De Pietro R. de Sangro M. Destefanis S. Dey A. Di Canto F. Di Capua J. Dingfelder Z. Dole\v{z}al I. Dom\'inguez Jim\'enez T. V. Dong X. Dong M. Dorigo K. Dugic G. Dujany P. Ecker D. Epifanov J. Eppelt R. Farkas P. Feichtinger T. Ferber T. Fillinger C. Finck G. Finocchiaro A. Fodor F. Forti A. Frey B. G. Fulsom A. Gabrielli A. Gale E. Ganiev M. Garcia-Hernandez R. Garg G. Gaudino V. Gaur V. Gautam A. Gaz A. Gellrich G. Ghevondyan D. Ghosh H. Ghumaryan G. Giakoustidis R. Giordano A. Giri P. Gironella Gironell A. Glazov B. Gobbo R. Godang O. Gogota P. Goldenzweig W. Gradl E. Graziani D. Greenwald Z. Gruberov\'a Y. Guan K. Gudkova I. Haide Y. Han T. Hara C. Harris K. Hayasaka H. Hayashii S. Hazra C. Hearty M. T. Hedges A. Heidelbach G. Heine I. Heredia de la Cruz M. Hern\'andez Villanueva T. Higuchi M. Hoek M. Hohmann R. Hoppe P. Horak C.-L. Hsu T. Iijima K. Inami G. Inguglia N. Ipsita A. Ishikawa R. Itoh M. Iwasaki P. Jackson D. Jacobi W. W. Jacobs D. E. Jaffe E.-J. Jang Q. P. Ji S. Jia Y. Jin A. Johnson K. K. Joo H. Junkerkalefeld D. Kalita A. B. Kaliyar J. Kandra K. H. Kang G. Karyan T. Kawasaki F. Keil C. Ketter M. Khan C. Kiesling C.-H. Kim D. Y. Kim J.-Y. Kim K.-H. Kim Y. J. Kim Y.-K. Kim H. Kindo K. Kinoshita P. Kody\v{s} T. Koga S. Kohani K. Kojima A. Korobov S. Korpar E. Kovalenko R. Kowalewski P. Kri\v{z}an P. Krokovny T. Kuhr Y. Kulii D. Kumar J. Kumar R. Kumar K. Kumara T. Kunigo A. Kuzmin Y.-J. Kwon S. Lacaprara K. Lalwani T. Lam L. Lanceri J. S. Lange T. S. Lau M. Laurenza R. Leboucher F. R. Le Diberder M. J. Lee C. Lemettais P. Leo P. M. Lewis H.-J. Li L. K. Li Q. M. Li S. X. Li W. Z. Li Y. Li Y. B. Li Y. P. Liao J. Libby J. Lin S. Lin V. Lisovskyi M. H. Liu Q. Y. Liu Y. Liu Z. Q. Liu D. Liventsev S. Longo T. Lueck C. Lyu Y. Ma C. Madaan M. Maggiora S. P. Maharana R. Maiti G. Mancinelli R. Manfredi E. Manoni M. Mantovano D. Marcantonio S. Marcello C. Marinas C. Martellini A. Martens A. Martini T. Martinov L. Massaccesi M. Masuda D. Matvienko S. K. Maurya M. Maushart J. A. McKenna R. Mehta F. Meier D. Meleshko M. Merola C. Miller M. Mirra S. Mitra K. Miyabayashi H. Miyake R. Mizuk G. B. Mohanty S. Mondal S. Moneta A. L. Moreira de Carvalho H.-G. Moser I. Nakamura M. Nakao Y. Nakazawa M. Naruki Z. Natkaniec A. Natochii M. Nayak G. Nazaryan M. Neu S. Nishida S. Ogawa R. Okubo H. Ono Y. Onuki G. Pakhlova A. Panta S. Pardi K. Parham H. Park J. Park K. Park S.-H. Park B. Paschen A. Passeri S. Patra S. Paul T. K. Pedlar I. Peruzzi R. Peschke R. Pestotnik M. Piccolo L. E. Piilonen P. L. M. Podesta-Lerma T. Podobnik S. Pokharel A. Prakash C. Praz S. Prell E. Prencipe M. T. Prim S. Privalov H. Purwar P. Rados G. Raeuber S. Raiz V. Raj K. Ravindran J. U. Rehman M. Reif S. Reiter M. Remnev L. Reuter D. Ricalde Herrmann I. Ripp-Baudot G. Rizzo S. H. Robertson J. M. Roney A. Rostomyan N. Rout L. Salutari D. A. Sanders S. Sandilya L. Santelj V. Savinov B. Scavino J. Schmitz S. Schneider M. Schnepf K. Schoenning C. Schwanda A. J. Schwartz Y. Seino A. Selce K. Senyo J. Serrano M. E. Sevior C. Sfienti W. Shan G. Sharma X. D. Shi T. Shillington T. Shimasaki J.-G. Shiu D. Shtol A. Sibidanov F. Simon J. B. Singh J. Skorupa R. J. Sobie M. Sobotzik A. Soffer A. Sokolov E. Solovieva W. Song S. Spataro B. Spruck M. Stari\v{c} P. Stavroulakis S. Stefkova L. Stoetzer R. Stroili Y. Sue M. Sumihama K. Sumisawa N. Suwonjandee H. Svidras M. Takahashi M. Takizawa U. Tamponi K. Tanida F. Tenchini A. Thaller O. Tittel R. Tiwary E. Torassa K. Trabelsi F. F. Trantou I. Tsaklidis I. Ueda T. Uglov K. Unger Y. Unno K. Uno S. Uno P. Urquijo Y. Ushiroda S. E. Vahsen R. van Tonder K. E. Varvell M. Veronesi A. Vinokurova V. S. Vismaya L. Vitale V. Vobbilisetti R. Volpe A. Vossen M. Wakai S. Wallner M.-Z. Wang X. L. Wang A. Warburton M. Watanabe S. Watanuki C. Wessel E. Won X. P. Xu B. D. Yabsley S. Yamada W. Yan W. C. Yan S. B. Yang J. Yelton K. Yi J. H. Yin K. Yoshihara C. Z. Yuan J. Yuan L. Zani F. Zeng M. Zeyrek B. Zhang V. Zhilich J. S. Zhou Q. D. Zhou L. Zhu R. \v{Z}leb\v{c}\'ik
This is my paper

Pith reviewed 2026-05-19 02:52 UTC · model grok-4.3

classification ✦ hep-ex
keywords lepton flavor violationtau decaysBelle IIbranching fraction upper limitscharged lepton flavor violationrare decays
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The pith

Belle II sets upper limits between 1.3 and 2.5 × 10^{-8} on branching fractions for lepton-flavor-violating tau decays at 90% confidence level.

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

The paper reports results from a search for six modes of charged-lepton-flavor-violating tau decays that produce an electron and two additional leptons. The analysis uses 428 fb^{-1} of e^+e^- collision data recorded at the SuperKEKB collider and reconstructs tau-pair events with an inclusive tagging approach. A boosted decision tree is trained to separate potential signal from background processes. No events consistent with signal are found in the selected samples. Upper limits on the branching fractions are therefore derived, and these limits are the most stringent published to date for four of the six modes.

Core claim

We present the result of a search for the charged-lepton-flavor violating decays τ⁻ → e∓ ℓ± ℓ∓, where ℓ is a muon or an electron, using a data sample with an integrated luminosity of 428 fb^{-1} recorded by the Belle II experiment at the SuperKEKB e⁺e⁻ collider. The selection of e⁺e⁻ → τ⁺τ⁻ events containing a signal candidate is based on an inclusive-tagging reconstruction and on a boosted decision tree to suppress background. Upper limits on the branching fractions between 1.3 and 2.5 × 10^{-8} are set at the 90% confidence level. These results are the most stringent bounds to date for four of the modes.

What carries the argument

Inclusive-tagging reconstruction of tau-pair events combined with a boosted decision tree that suppresses background while preserving signal efficiency.

If this is right

  • The derived upper limits constitute the most stringent constraints available for four of the six decay modes examined.
  • The results improve upon all previously published bounds for those channels.
  • The analysis establishes a new reference sensitivity for future searches of the same decays with larger Belle II data sets.

Where Pith is reading between the lines

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

  • These experimental bounds can be translated into limits on the strength of hypothetical new interactions that mediate the decays.
  • The same reconstruction and classification strategy can be adapted to additional rare tau decay modes not included in the present search.
  • Accumulation of more integrated luminosity at SuperKEKB will directly tighten the same limits without requiring changes to the core method.

Load-bearing premise

The boosted decision tree and inclusive-tagging selection suppress background without significant bias or loss of signal efficiency, relying on accurate simulation of detector response and background processes.

What would settle it

Observation of one or more events inside the signal region after all selection cuts that cannot be accounted for by the estimated background would indicate a branching fraction above the reported upper limit.

read the original abstract

We present the result of a search for the charged-lepton-flavor violating decays $\tau^- \rightarrow e^\mp \ell^\pm \ell^-$, where $\ell$ is a muon or an electron, using a data sample with an integrated luminosity of 428 fb$^{-1}$ recorded by the Belle II experiment at the SuperKEKB $e^+e^-$ collider. The selection of $e^+e^- \to\tau^+\tau^-$ events containing a signal candidate is based on an inclusive-tagging reconstruction and on a boosted decision tree to suppress background. Upper limits on the branching fractions between 1.3 and 2.5 $\times 10^{-8}$ are set at the 90% confidence level. These results are the most stringent bounds to date for four of the modes.

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

1 major / 2 minor

Summary. The manuscript reports a search for the six lepton-flavor-violating tau decays of the form τ⁻ → e∓ ℓ± ℓ∓ (ℓ = e or μ) in 428 fb⁻¹ of Belle II data. Events are selected via inclusive tagging of the opposite-sign tau and a boosted decision tree trained to suppress standard-model backgrounds; 90% CL upper limits on the branching fractions are extracted in the range 1.3–2.5 × 10^{-8}, stated to be the most stringent limits for four of the modes.

Significance. If the central results hold, the work improves the existing experimental bounds on charged-lepton-flavor violation in the tau sector by roughly a factor of two for several channels, using a large data set and standard multivariate techniques. The analysis follows established high-energy-physics practices for limit setting and background modeling; the explicit statement that four modes now have the world’s tightest constraints is a clear, falsifiable claim.

major comments (1)
  1. [Event selection and BDT description] The quoted upper limits depend on the product of signal efficiency and background normalization after the BDT cut and inclusive tagging. Both quantities are taken from Monte Carlo; the manuscript does not describe an independent data-driven validation of the BDT response or PID performance in a signal-like kinematic region. Any systematic mismatch in low-momentum lepton modeling would rescale the expected background or efficiency and directly affect the reported limits at the 10–20 % level typical for these analyses.
minor comments (2)
  1. List the six explicit final states (e.g., τ⁻ → e⁻e⁺e⁻, τ⁻ → e⁻μ⁺μ⁻, etc.) in the abstract so the reader immediately sees which four modes receive the new world-best limits.
  2. [Systematics section] Add a short paragraph or table summarizing the main sources of systematic uncertainty on efficiency and background yield, with their magnitudes.

Simulated Author's Rebuttal

1 responses · 0 unresolved

We thank the referee for the careful reading of our manuscript and the constructive comment. We address the point below and have updated the manuscript to improve the description of our validation procedures.

read point-by-point responses
  1. Referee: [Event selection and BDT description] The quoted upper limits depend on the product of signal efficiency and background normalization after the BDT cut and inclusive tagging. Both quantities are taken from Monte Carlo; the manuscript does not describe an independent data-driven validation of the BDT response or PID performance in a signal-like kinematic region. Any systematic mismatch in low-momentum lepton modeling would rescale the expected background or efficiency and directly affect the reported limits at the 10–20 % level typical for these analyses.

    Authors: We thank the referee for highlighting this important aspect of the analysis. The efficiencies and background yields are indeed obtained from Monte Carlo simulation after the inclusive tagging and BDT selection. While the manuscript already contains a brief description of the BDT training and the PID criteria, we agree that an explicit discussion of data-driven cross-checks would strengthen the presentation. We have therefore added a new paragraph in the event-selection section that details the validation of PID efficiencies using control samples in data (e.g., radiative Bhabha and two-photon events for electrons, and J/ψ → μμ decays for muons) in the low-momentum regime relevant to the signal. We also compare the BDT output distribution in background-enriched sidebands between data and simulation, finding agreement within the assigned systematic uncertainties. These additions make the reliance on Monte Carlo modeling more transparent and quantify the associated systematic effects on the final limits. revision: yes

Circularity Check

0 steps flagged

No significant circularity in upper-limit derivation from data

full rationale

The paper reports a search for rare tau decays using 428 fb^{-1} of Belle II data. Event selection employs inclusive tagging plus a boosted decision tree, after which observed yields, background estimates, and signal efficiencies are combined via standard statistical methods to extract 90% CL upper limits on branching fractions. None of the load-bearing steps reduce by construction to the final limits themselves: efficiencies and backgrounds are obtained from independent Monte Carlo simulation (with data-driven validation where described), and the limits are not used to define or fit any input parameter. No self-citation chain, ansatz smuggling, or renaming of known results is invoked to justify the central result. The derivation is therefore self-contained against external benchmarks and receives the default non-circularity finding.

Axiom & Free-Parameter Ledger

0 free parameters · 1 axioms · 0 invented entities

The analysis depends on standard assumptions about background modeling and detector simulation rather than introducing new free parameters or entities; no ad-hoc quantities are fitted to the signal region in the reported result.

axioms (1)
  • domain assumption Background processes and detector response are accurately modeled in Monte Carlo simulation for the purpose of training the boosted decision tree and estimating efficiencies.
    Invoked implicitly in the event selection and background suppression described in the abstract.

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