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arxiv: 2601.20790 · v2 · submitted 2026-01-28 · ✦ hep-ex

Recognition: no theorem link

Observation of the decay chi_{c1}(3872)rightarrow Jmskip -3mu/mskip -2mupsi μ^+μ^-

LHCb collaboration: R. Aaij , A.S.W. Abdelmotteleb , C. Abellan Beteta , F. Abudin\'en , T. Ackernley , A. A. Adefisoye , B. Adeva , M. Adinolfi
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P. Adlarson C. Agapopoulou C.A. Aidala Z. Ajaltouni S. Akar K. Akiba M. Akthar P. Albicocco J. Albrecht R. Aleksiejunas F. Alessio P. Alvarez Cartelle R. Amalric S. Amato J.L. Amey Y. Amhis L. An L. Anderlini M. Andersson P. Andreola M. Andreotti S. Andres Estrada A. Anelli D. Ao C. Arata F. Archilli Z. Areg M. Argenton S. Arguedas Cuendis L. Arnone A. Artamonov M. Artuso E. Aslanides R. Ata\'ide Da Silva M. Atzeni B. Audurier J. A. Authier D. Bacher I. Bachiller Perea S. Bachmann M. Bachmayer J.J. Back P. Baladron Rodriguez V. Balagura A. Balboni W. Baldini Z. Baldwin L. Balzani H. Bao J. Baptista de Souza Leite C. Barbero Pretel M. Barbetti I. R. Barbosa R.J. Barlow M. Barnyakov S. Barsuk W. Barter J. Bartz S. Bashir B. Batsukh P. B. Battista A. Bay A. Beck M. Becker F. Bedeschi I.B. Bediaga N. A. Behling S. Belin A. Bellavista K. Belous I. Belov I. Belyaev G. Benane G. Bencivenni E. Ben-Haim A. Berezhnoy R. Bernet S. Bernet Andres A. Bertolin F. Betti J. Bex O. Bezshyyko S. Bhattacharya J. Bhom M.S. Bieker N.V. Biesuz A. Biolchini M. Birch F.C.R. Bishop A. Bitadze A. Bizzeti T. Blake F. Blanc J.E. Blank S. Blusk V. Bocharnikov J.A. Boelhauve O. Boente Garcia T. Boettcher A. Bohare A. Boldyrev C. Bolognani R. Bolzonella R. B. Bonacci N. Bondar A. Bordelius F. Borgato S. Borghi M. Borsato J.T. Borsuk E. Bottalico S.A. Bouchiba M. Bovill T.J.V. Bowcock A. Boyer C. Bozzi J. D. Brandenburg A. Brea Rodriguez N. Breer J. Brodzicka J. Brown D. Brundu E. Buchanan M. Burgos Marcos A.T. Burke C. Burr C. Buti J.S. Butter J. Buytaert W. Byczynski S. Cadeddu H. Cai Y. Cai A. Caillet R. Calabrese S. Calderon Ramirez L. Calefice M. Calvi M. Calvo Gomez P. Camargo Magalhaes J. I. Cambon Bouzas P. Campana A.F. Campoverde Quezada Y. Cao S. Capelli M. Caporale L. Capriotti R. Caravaca-Mora A. Carbone L. Carcedo Salgado R. Cardinale A. Cardini P. Carniti L. Carus A. Casais Vidal R. Caspary G. Casse M. Cattaneo G. Cavallero V. Cavallini S. Celani I. Celestino S. Cesare A.J. Chadwick I. Chahrour H. Chang M. Charles Ph. Charpentier E. Chatzianagnostou R. Cheaib M. Chefdeville C. Chen J. Chen S. Chen Z. Chen A. Chen Hu M. Cherif A. Chernov S. Chernyshenko X. Chiotopoulos V. Chobanova M. Chrzaszcz A. Chubykin V. Chulikov P. Ciambrone X. Cid Vidal G. Ciezarek P. Cifra P.E.L. Clarke M. Clemencic H.V. Cliff J. Closier C. Cocha Toapaxi V. Coco J. Cogan E. Cogneras L. Cojocariu S. Collaviti P. Collins T. Colombo M. Colonna A. Comerma-Montells L. Congedo J. Connaughton A. Contu N. Cooke G. Cordova C. Coronel I. Corredoira A. Correia G. Corti J. Cottee Meldrum B. Couturier D.C. Craik M. Cruz Torres E. Curras Rivera R. Currie C.L. Da Silva S. Dadabaev X. Dai E. Dall'Occo J. Dalseno C. D'Ambrosio J. Daniel G. Darze A. Davidson J.E. Davies O. De Aguiar Francisco C. De Angelis F. De Benedetti J. de Boer K. De Bruyn S. De Capua M. De Cian U. De Freitas Carneiro Da Graca E. De Lucia J.M. De Miranda L. De Paula M. De Serio P. De Simone F. De Vellis J.A. de Vries F. Debernardis D. Decamp S. Dekkers L. Del Buono B. Delaney H.-P. Dembinski J. Deng V. Denysenko O. Deschamps F. Dettori B. Dey P. Di Nezza I. Diachkov S. Didenko S. Ding Y. Ding L. Dittmann V. Dobishuk A. D. Docheva A. Doheny C. Dong A.M. Donohoe F. Dordei A.C. dos Reis A. D. Dowling L. Dreyfus W. Duan P. Duda L. Dufour V. Duk P. Durante M. M. Duras J.M. Durham O. D. Durmus A. Dziurda A. Dzyuba S. Easo E. Eckstein U. Egede A. Egorychev V. Egorychev S. Eisenhardt E. Ejopu L. Eklund M. Elashri D. Elizondo Blanco J. Ellbracht S. Ely A. Ene J. Eschle S. Esen T. Evans F. Fabiano S. Faghih L.N. Falcao B. Fang R. Fantechi L. Fantini M. Faria K. Farmer F. Fassin D. Fazzini L. Felkowski C. Feng M. Feng A. Fernandez Casani M. Fernandez Gomez A.D. Fernez F. Ferrari F. Ferreira Rodrigues M. Ferrillo M. Ferro-Luzzi S. Filippov R.A. Fini M. Fiorini M. Firlej K.L. Fischer D.S. Fitzgerald C. Fitzpatrick T. Fiutowski F. Fleuret A. Fomin M. Fontana L. A. Foreman R. Forty D. Foulds-Holt V. Franco Lima M. Franco Sevilla M. Frank E. Franzoso G. Frau C. Frei D.A. Friday J. Fu Q. F\"uhring T. Fulghesu G. Galati M.D. Galati A. Gallas Torreira D. Galli S. Gambetta M. Gandelman P. Gandini B. Ganie H. Gao R. Gao T.Q. Gao Y. Gao L.M. Garcia Martin P. Garcia Moreno J. Garc\'ia Pardi\~nas P. Gardner L. Garrido C. Gaspar A. Gavrikov L.L. Gerken E. Gersabeck M. Gersabeck T. Gershon S. Ghizzo Z. Ghorbanimoghaddam F. I. Giasemis V. Gibson H.K. Giemza A.L. Gilman M. Giovannetti A. Giovent\`u L. Girardey M.A. Giza F.C. Glaser V.V. Gligorov C. G\"obel L. Golinka-Bezshyyko E. Golobardes D. Golubkov A. Golutvin S. Gomez Fernandez W. Gomulka I. Gon\c{c}ales Vaz F. Goncalves Abrantes M. Goncerz G. Gong J. A. Gooding I.V. Gorelov C. Gotti E. Govorkova J.P. Grabowski L.A. Granado Cardoso E. Graug\'es E. Graverini L. Grazette G. Graziani A. T. Grecu N.A. Grieser L. Grillo S. Gromov C. Gu M. Guarise L. Guerry A.-K. Guseinov E. Gushchin Y. Guz T. Gys K. Habermann T. Hadavizadeh C. Hadjivasiliou G. Haefeli C. Haen S. Haken G. Hallett P.M. Hamilton J. Hammerich Q. Han X. Han S. Hansmann-Menzemer L. Hao N. Harnew T. H. Harris M. Hartmann S. Hashmi J. He A. Hedes F. Hemmer C. Henderson R. Henderson R.D.L. Henderson A.M. Hennequin K. Hennessy L. Henry J. Herd P. Herrero Gascon J. Heuel A. Heyn A. Hicheur G. Hijano Mendizabal J. Horswill R. Hou Y. Hou D.C. Houston N. Howarth W. Hu X. Hu W. Hulsbergen R.J. Hunter M. Hushchyn D. Hutchcroft M. Idzik D. Ilin P. Ilten A. Iniukhin A. Iohner A. Ishteev K. Ivshin H. Jage S.J. Jaimes Elles S. Jakobsen T. Jakoubek E. Jans B.K. Jashal A. Jawahery C. Jayaweera V. Jevtic Z. Jia E. Jiang X. Jiang Y. Jiang Y. J. Jiang E. Jimenez Moya N. Jindal M. John A. John Rubesh Rajan D. Johnson C.R. Jones S. Joshi B. Jost J. Juan Castella N. Jurik I. Juszczak K. Kalecinska D. Kaminaris S. Kandybei M. Kane Y. Kang C. Kar M. Karacson A. Kauniskangas J.W. Kautz M.K. Kazanecki F. Keizer M. Kenzie T. Ketel B. Khanji A. Kharisova S. Kholodenko G. Khreich T. Kirn V.S. Kirsebom O. Kitouni S. Klaver N. Kleijne D. K. Klekots K. Klimaszewski M.R. Kmiec T. Knospe R. Kolb S. Koliiev L. Kolk A. Konoplyannikov P. Kopciewicz P. Koppenburg A. Korchin M. Korolev I. Kostiuk O. Kot S. Kotriakhova E. Kowalczyk A. Kozachuk P. Kravchenko L. Kravchuk O. Kravcov M. Kreps P. Krokovny W. Krupa W. Krzemien O. Kshyvanskyi S. Kubis M. Kucharczyk V. Kudryavtsev E. Kulikova A. Kupsc V. Kushnir B. Kutsenko J. Kvapil I. Kyryllin D. Lacarrere P. Laguarta Gonzalez A. Lai A. Lampis D. Lancierini C. Landesa Gomez J.J. Lane G. Lanfranchi C. Langenbruch J. Langer T. Latham F. Lazzari C. Lazzeroni R. Le Gac H. Lee R. Lef\`evre A. Leflat S. Legotin M. Lehuraux E. Lemos Cid O. Leroy T. Lesiak E. D. Lesser B. Leverington A. Li C. Li H. Li J. Li K. Li L. Li M. Li P. Li P.-R. Li Q. Li T. Li Y. Li Z. Lian Q. Liang X. Liang Z. Liang S. Libralon A. Lightbody C. Lin T. Lin R. Lindner H. Linton R. Litvinov D. Liu F. L. Liu G. Liu K. Liu S. Liu W. Liu Y. Liu Y. L. Liu G. Loachamin Ordonez I. Lobo A. Lobo Salvia A. Loi T. Long F. C. L. Lopes J.H. Lopes A. Lopez Huertas C. Lopez Iribarnegaray S. L\'opez Soli\~no Q. Lu C. Lucarelli D. Lucchesi M. Lucio Martinez Y. Luo A. Lupato E. Luppi K. Lynch S. Lyu X.-R. Lyu G. M. Ma H. Ma S. Maccolini F. Machefert F. Maciuc B. Mack I. Mackay L. M. Mackey L.R. Madhan Mohan M. J. Madurai D. Magdalinski D. Maisuzenko J.J. Malczewski S. Malde L. Malentacca A. Malinin T. Maltsev G. Manca G. Mancinelli C. Mancuso R. Manera Escalero F. M. Manganella D. Manuzzi D. Marangotto J.F. Marchand R. Marchevski U. Marconi E. Mariani S. Mariani C. Marin Benito J. Marks A.M. Marshall L. Martel G. Martelli G. Martellotti L. Martinazzoli M. Martinelli D. Martinez Gomez D. Martinez Santos F. Martinez Vidal A. Martorell i Granollers A. Massafferri R. Matev A. Mathad V. Matiunin C. Matteuzzi K.R. Mattioli A. Mauri E. Maurice J. Mauricio P. Mayencourt J. Mazorra de Cos M. Mazurek M. McCann N.T. McHugh A. McNab R. McNulty B. Meadows G. Meier D. Melnychuk D. Mendoza Granada P. Menendez Valdes Perez F. M. Meng M. Merk A. Merli L. Meyer Garcia D. Miao H. Miao M. Mikhasenko D.A. Milanes A. Minotti E. Minucci T. Miralles B. Mitreska D.S. Mitzel R. Mocanu A. Modak L. Moeser R.D. Moise E. F. Molina Cardenas T. Momb\"acher M. Monk S. Monteil A. Morcillo Gomez G. Morello M.J. Morello M.P. Morgenthaler A. Moro J. Moron W. Morren A.B. Morris A.G. Morris R. Mountain Z. Mu E. Muhammad F. Muheim M. Mulder K. M\"uller F. Mu\~noz-Rojas R. Murta V. Mytrochenko P. Naik T. Nakada R. Nandakumar T. Nanut I. Nasteva M. Needham E. Nekrasova N. Neri S. Neubert N. Neufeld P. Neustroev J. Nicolini D. Nicotra E.M. Niel N. Nikitin L. Nisi Q. Niu P. Nogarolli P. Nogga C. Normand J. Novoa Fernandez G. Nowak C. Nunez H. N. Nur A. Oblakowska-Mucha V. Obraztsov T. Oeser A. Okhotnikov O. Okhrimenko R. Oldeman F. Oliva E. Olivart Pino M. Olocco R.H. O'Neil J.S. Ordonez Soto D. Osthues J.M. Otalora Goicochea P. Owen A. Oyanguren O. Ozcelik F. Paciolla A. Padee K.O. Padeken B. Pagare T. Pajero A. Palano L. Palini M. Palutan C. Pan X. Pan S. Panebianco S. Paniskaki G. Panshin L. Paolucci A. Papanestis M. Pappagallo L.L. Pappalardo C. Pappenheimer C. Parkes D. Parmar G. Passaleva D. Passaro A. Pastore M. Patel J. Patoc C. Patrignani A. Paul C.J. Pawley A. Pellegrino J. Peng X. Peng M. Pepe Altarelli S. Perazzini D. Pereima H. Pereira Da Costa M. Pereira Martinez A. Pereiro Castro C. Perez P. Perret A. Perrevoort A. Perro M.J. Peters K. Petridis A. Petrolini S. Pezzulo J. P. Pfaller H. Pham L. Pica M. Piccini L. Piccolo B. Pietrzyk G. Pietrzyk R. N. Pilato D. Pinci F. Pisani M. Pizzichemi V. M. Placinta M. Plo Casasus T. Poeschl F. Polci M. Poli Lener A. Poluektov N. Polukhina I. Polyakov E. Polycarpo S. Ponce D. Popov K. Popp S. Poslavskii K. Prasanth C. Prouve D. Provenzano V. Pugatch A. Puicercus Gomez G. Punzi J.R. Pybus Q. Qian W. Qian N. Qin R. Quagliani R.I. Rabadan Trejo R. Racz J.H. Rademacker M. Rama M. Ram\'irez Garc\'ia V. Ramos De Oliveira M. Ramos Pernas M.S. Rangel F. Ratnikov G. Raven M. Rebollo De Miguel F. Redi J. Reich F. Reiss Z. Ren P.K. Resmi M. Ribalda Galvez R. Ribatti G. Ricart D. Riccardi S. Ricciardi K. Richardson M. Richardson-Slipper F. Riehn K. Rinnert P. Robbe G. Robertson E. Rodrigues A. Rodriguez Alvarez E. Rodriguez Fernandez J.A. Rodriguez Lopez E. Rodriguez Rodriguez J. Roensch A. Rogachev A. Rogovskiy D.L. Rolf P. Roloff V. Romanovskiy A. Romero Vidal G. Romolini F. Ronchetti T. Rong M. Rotondo S. R. Roy M.S. Rudolph M. Ruiz Diaz R.A. Ruiz Fernandez J. Ruiz Vidal J. J. Saavedra-Arias J.J. Saborido Silva S. E. R. Sacha Emile R. N. Sagidova D. Sahoo N. Sahoo B. Saitta M. Salomoni I. Sanderswood R. Santacesaria C. Santamarina Rios M. Santimaria L. Santoro E. Santovetti A. Saputi D. Saranin A. Sarnatskiy G. Sarpis M. Sarpis C. Satriano A. Satta M. Saur D. Savrina H. Sazak F. Sborzacchi A. Scarabotto S. Schael S. Scherl M. Schiller H. Schindler M. Schmelling B. Schmidt N. Schmidt S. Schmitt H. Schmitz O. Schneider A. Schopper N. Schulte M.H. Schune G. Schwering B. Sciascia A. Sciuccati G. Scriven I. Segal S. Sellam A. Semennikov T. Senger M. Senghi Soares A. Sergi N. Serra L. Sestini A. Seuthe B. Sevilla Sanjuan Y. Shang D.M. Shangase M. Shapkin R. S. Sharma I. Shchemerov L. Shchutska T. Shears L. Shekhtman J. Shen Z. Shen S. Sheng V. Shevchenko B. Shi Q. Shi W. S. Shi Y. Shimizu E. Shmanin R. Shorkin J.D. Shupperd R. Silva Coutinho G. Simi S. Simone M. Singha N. Skidmore T. Skwarnicki M.W. Slater E. Smith K. Smith M. Smith L. Soares Lavra M.D. Sokoloff F.J.P. Soler A. Solomin A. Solovev K. Solovieva N. S. Sommerfeld R. Song Y. Song Y. S. Song F.L. Souza De Almeida B. Souza De Paula K.M. Sowa E. Spadaro Norella E. Spedicato J.G. Speer P. Spradlin F. Stagni M. Stahl S. Stahl S. Stanislaus M. Stefaniak E.N. Stein O. Steinkamp D. Strekalina Y. Su F. Suljik J. Sun L. Sun D. Sundfeld W. Sutcliffe P. Svihra V. Svintozelskyi K. Swientek F. Swystun A. Szabelski T. Szumlak Y. Tan Y. Tang Y. T. Tang M.D. Tat J. A. Teijeiro Jimenez A. Terentev F. Terzuoli F. Teubert E. Thomas D.J.D. Thompson A. R. Thomson-Strong H. Tilquin V. Tisserand S. T'Jampens M. Tobin T. T. Todorov L. Tomassetti G. Tonani X. Tong T. Tork D. Torres Machado L. Toscano D.Y. Tou C. Trippl G. Tuci N. Tuning L.H. Uecker A. Ukleja D.J. Unverzagt A. Upadhyay B. Urbach A. Usachov A. Ustyuzhanin U. Uwer V. Vagnoni V. Valcarce Cadenas G. Valenti N. Valls Canudas J. van Eldik H. Van Hecke E. van Herwijnen C.B. Van Hulse R. Van Laak M. van Veghel G. Vasquez R. Vazquez Gomez P. Vazquez Regueiro C. V\'azquez Sierra S. Vecchi J. Velilla Serna J.J. Velthuis M. Veltri A. Venkateswaran M. Verdoglia M. Vesterinen W. Vetens D. Vico Benet P. Vidrier Villalba M. Vieites Diaz X. Vilasis-Cardona E. Vilella Figueras A. Villa P. Vincent B. Vivacqua F.C. Volle D. vom Bruch N. Voropaev K. Vos C. Vrahas J. Wagner J. Walsh E.J. Walton G. Wan A. Wang B. Wang C. Wang G. Wang H. Wang J. Wang M. Wang N. W. Wang R. Wang X. Wang X. W. Wang Y. Wang Y. H. Wang Z. Wang J.A. Ward M. Waterlaat N.K. Watson D. Websdale Y. Wei Z. Weida J. Wendel B.D.C. Westhenry C. White M. Whitehead E. Whiter A.R. Wiederhold D. Wiedner M. A. Wiegertjes C. Wild G. Wilkinson M.K. Wilkinson M. Williams M. J. Williams M.R.J. Williams R. Williams S. Williams Z. Williams F.F. Wilson M. Winn W. Wislicki M. Witek L. Witola T. Wolf E. Wood G. Wormser S.A. Wotton H. Wu J. Wu X. Wu Y. Wu Z. Wu K. Wyllie S. Xian Z. Xiang Y. Xie T. X. Xing A. Xu L. Xu M. Xu Z. Xu S. Yadav K. Yang X. Yang Y. Yang Z. Yang V. Yeroshenko H. Yeung H. Yin X. Yin C. Y. Yu J. Yu X. Yuan Y Yuan J. A. Zamora Saa M. Zavertyaev M. Zdybal F. Zenesini C. Zeng M. Zeng C. Zhang D. Zhang J. Zhang L. Zhang R. Zhang S. Zhang S.L. Zhang Y. Zhang Y. Z. Zhang Z. Zhang Y. Zhao A. Zhelezov S. Z. Zheng X. Z. Zheng Y. Zheng T. Zhou X. Zhou Y. Zhou V. Zhovkovska L. Z. Zhu X. Zhu Y. Zhu V. Zhukov J. Zhuo Q. Zou D. Zuliani G. Zunica
Authors on Pith no claims yet

Pith reviewed 2026-05-16 10:23 UTC · model grok-4.3

classification ✦ hep-ex
keywords χ_c1(3872)J/ψ μ⁺μ⁻branching fractionfirst observationLHCbexotic hadroncharmonium-like state
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The pith

The χ_c1(3872) decays to J/ψ μ⁺μ⁻ for the first time, seen at 6.5 sigma with a relative branching fraction of (1.68 ± 0.32 ± 0.05) × 10^{-3}.

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

This paper reports the first observation of the decay χ_c1(3872) → J/ψ μ⁺μ⁻ in proton-proton collisions recorded by the LHCb detector. The signal is identified in 9 fb^{-1} of data by reconstructing the invariant mass of the J/ψ μ⁺μ⁻ system. A significance of 6.5 standard deviations is reached above background. The branching fraction is measured relative to the established χ_c1(3872) → J/ψ π⁺π⁻ mode, giving a small ratio that quantifies how rarely the muon pair appears compared with the pion pair.

Core claim

The central claim is the first observation of χ_c1(3872) → J/ψ μ⁺μ⁻ with 6.5σ significance and the ratio of branching fractions BF(χ_c1(3872) → J/ψ μ⁺μ⁻) / BF(χ_c1(3872) → J/ψ π⁺π⁻) = (1.68 ± 0.32 ± 0.05) × 10^{-3}, where the uncertainties separate uncorrelated and correlated systematic contributions.

What carries the argument

Reconstruction of χ_c1(3872) candidates from J/ψ μ⁺μ⁻ final states followed by a fit to the invariant-mass distribution that isolates the narrow signal peak while modeling combinatorial background and efficiency corrections relative to the pion reference channel.

If this is right

  • This new decay channel supplies an additional observable for testing models of the χ_c1(3872) internal structure.
  • The measured ratio quantifies the relative suppression of the leptonic final state compared with the hadronic one.
  • Future higher-statistics samples can tighten the ratio and compare it directly to theoretical predictions for electromagnetic versus strong contributions.
  • The analysis framework of background subtraction and efficiency ratios can be reused for other rare decays of the same state.

Where Pith is reading between the lines

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

  • The small ratio may reflect the electromagnetic character of the muon-pair emission versus the strong or isospin-violating pion emission.
  • Precision measurements of this ratio in larger datasets could distinguish between molecular, tetraquark, or conventional charmonium interpretations.
  • The technique of normalizing to the pion mode reduces many systematic uncertainties and could be applied to searches for analogous rare modes in other exotic hadrons.

Load-bearing premise

Background shapes in the invariant-mass distributions and relative detector efficiencies for muons versus pions are modeled accurately enough that the extracted signal yield is not significantly biased.

What would settle it

An independent analysis of a comparable or larger dataset that finds no excess above background at the known χ_c1(3872) mass in the J/ψ μ⁺μ⁻ invariant-mass spectrum would falsify the observation.

Figures

Figures reproduced from arXiv: 2601.20790 by A. A. Adefisoye, A. Anelli, A. Artamonov, A. Balboni, A. Bay, A. Beck, A. Bellavista, A. Berezhnoy, A. Bertolin, A. Biolchini, A. Bitadze, A. Bizzeti, A.B. Morris, A. Bohare, A. Boldyrev, A. Bordelius, A. Boyer, A. Brea Rodriguez, A. Caillet, A. Carbone, A. Cardini, A. Casais Vidal, A.C. dos Reis, A. Chen Hu, A. Chernov, A. Chubykin, A. Comerma-Montells, A. Contu, A. Correia, A. Davidson, A. D. Docheva, A. D. Dowling, A.D. Fernez, A. Doheny, A. Dziurda, A. Dzyuba, A. Egorychev, A. Ene, A.F. Campoverde Quezada, A. Fernandez Casani, A. Fomin, A. Gallas Torreira, A. Gavrikov, A. Giovent\`u, A.G. Morris, A. Golutvin, A. Hedes, A. Heyn, A. Hicheur, A. Iniukhin, A. Iohner, A. Ishteev, A. Jawahery, A.J. Chadwick, A. John Rubesh Rajan, A. Kauniskangas, A.-K. Guseinov, A. Kharisova, A. Konoplyannikov, A. Korchin, A. Kozachuk, A. Kupsc, A. Lai, A. Lampis, A. Leflat, A.L. Gilman, A. Li, A. Lightbody, A. Lobo Salvia, A. Loi, A. Lopez Huertas, A. Lupato, A. Malinin, A. Martorell i Granollers, A. Massafferri, A. Mathad, A. Mauri, A. McNab, A.M. Donohoe, A. Merli, A.M. Hennequin, A. Minotti, A.M. Marshall, A. Modak, A. Morcillo Gomez, A. Moro, A. Oblakowska-Mucha, A. Okhotnikov, A. Oyanguren, A. Padee, A. Palano, A. Papanestis, A. Pastore, A. Paul, A. Pellegrino, A. Pereiro Castro, A. Perrevoort, A. Perro, A. Petrolini, A. Poluektov, A. Puicercus Gomez, A. Rodriguez Alvarez, A. Rogachev, A. Rogovskiy, A. Romero Vidal, A. R. Thomson-Strong, A.R. Wiederhold, A. Saputi, A. Sarnatskiy, A. Satta, A. Scarabotto, A. Schopper, A. Sciuccati, A. Semennikov, A. Sergi, A. Seuthe, A. Solomin, A. Solovev, A.S.W. Abdelmotteleb, A. Szabelski, A.T. Burke, A. Terentev, A. T. Grecu, A. Ukleja, A. Upadhyay, A. Usachov, A. Ustyuzhanin, A. Venkateswaran, A. Villa, A. Wang, A. Xu, A. Zhelezov, B. Adeva, B. Audurier, B. Batsukh, B. Couturier, B.D.C. Westhenry, B. Delaney, B. Dey, B. Fang, B. Ganie, B. Jost, B. Khanji, B.K. Jashal, B. Kutsenko, B. 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Figure 1
Figure 1. Figure 1: Mass distribution of J/ψµ+µ − candidates in Run 2 data. From left to right the χc1(1P), χc2(1P), ψ(2S) (→ J/ψπ+π − with pions misidentified as muons) and χc1(3872) peaks are labelled. χc1(3872)→ J/ψπ+π − simulation samples as signal and background proxies, respectively. Six variables related to the particle identification (PID) and kinematics of the two muons produced by the χc1(3872) decay are considered … view at source ↗
Figure 2
Figure 2. Figure 2: Mass distribution for (top) Run 1 and (bottom) Run 2 samples of (left) [PITH_FULL_IMAGE:figures/full_fig_p008_2.png] view at source ↗
Figure 3
Figure 3. Figure 3: The mJ/ψπ+π− distribution for (left) Run 1 and (right) Run 2 data with the results of the fit also shown [PITH_FULL_IMAGE:figures/full_fig_p009_3.png] view at source ↗
read the original abstract

The first observation of the $\chi_{c1}(3872)\rightarrow J\mskip -3mu/\mskip -2mu\psi \mu^+\mu^-$ decay is reported using proton-proton collision data recorded with the LHCb detector corresponding to an integrated luminosity of $9fb^{-1}$. The decay mode is observed for the first time, with a significance of $6.5\sigma$. Its branching fraction is measured relative to the $\chi_{c1}(3872)\rightarrow J\mskip -3mu/\mskip -2mu\psi \pi^+\pi^-$ decay mode \begin{align*} \frac{\cal{BF}(\chi_{c1}(3872)\rightarrow J\mskip -3mu/\mskip -2mu\psi \mu^+\mu^-)}{\cal{BF}(\chi_{c1}(3872)\rightarrow J\mskip -3mu/\mskip -2mu\psi \pi^+\pi^-)} = \left(1.68\pm 0.32\pm 0.05\right)\times10^{-3}, \end{align*} where the first uncertainty includes both statistical contributions and systematic contributions which are uncorrelated between data-taking periods, and the second represents the systematic contributions that are correlated between data-taking periods.

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 observation of the rare decay χ_c1(3872) → J/ψ μ⁺μ⁻ using 9 fb⁻¹ of LHCb pp collision data. The mode is observed with 6.5σ significance, and the branching-fraction ratio relative to the normalization channel χ_c1(3872) → J/ψ π⁺π⁻ is measured to be (1.68 ± 0.32 ± 0.05) × 10^{-3}, where the first uncertainty combines statistical and uncorrelated systematic contributions and the second contains correlated systematics.

Significance. If the result holds, it constitutes the first observation of this decay channel and supplies a new, small branching-fraction ratio that constrains models of the χ_c1(3872) internal structure. The analysis follows established LHCb procedures for yield extraction from invariant-mass fits and efficiency correction via simulation, which is a strength for reproducibility within the collaboration's standard framework.

major comments (2)
  1. [§5] §5 (signal extraction and efficiency correction): the branching-fraction ratio is obtained from the ratio of fitted yields divided by the simulated efficiency ratio between the μ⁺μ⁻ and π⁺π⁻ final states. Because the two modes differ in particle species, PID response, and kinematic distributions, any residual mismatch between data and simulation in the efficiency correction directly scales the extracted yield; the manuscript should provide explicit data-driven validation (e.g., control samples or tag-and-probe studies) showing that the correction uncertainty is not underestimated at the level of the quoted 0.32 × 10^{-3} statistical-plus-uncorrelated error.
  2. [§4.2] §4.2 (invariant-mass fit): the background in the J/ψ μ⁺μ⁻ mass distribution is modeled with a parametric function on top of a low-statistics signal. The paper must demonstrate that alternative background shapes (e.g., polynomial of different order or sideband interpolation) do not shift the signal yield by more than the quoted uncertainty, as even a 15 % relative bias would move the significance below 5σ.
minor comments (2)
  1. [Figure 3] Figure 3 (mass-fit projections): the legend and axis labels should explicitly state the integrated luminosity and data-taking periods used for each component.
  2. [Abstract and §1] The abstract and §1 use inconsistent spacing in the particle names (J/ψ vs. J msip -3mu/ msip -2mu ψ); adopt a uniform notation throughout.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for the careful reading of our manuscript and the constructive comments. We address each major comment below. Revisions have been made to incorporate additional validation studies for the efficiency corrections and background modeling robustness checks.

read point-by-point responses
  1. Referee: [§5] §5 (signal extraction and efficiency correction): the branching-fraction ratio is obtained from the ratio of fitted yields divided by the simulated efficiency ratio between the μ⁺μ⁻ and π⁺π⁻ final states. Because the two modes differ in particle species, PID response, and kinematic distributions, any residual mismatch between data and simulation in the efficiency correction directly scales the extracted yield; the manuscript should provide explicit data-driven validation (e.g., control samples or tag-and-probe studies) showing that the correction uncertainty is not underestimated at the level of the quoted 0.32 × 10^{-3} statistical-plus-uncorrelated error.

    Authors: We appreciate the referee's emphasis on rigorous validation of the efficiency corrections. The efficiency ratio was evaluated using simulation, with systematic uncertainties determined from variations in the simulation parameters (e.g., tracking and PID response) and cross-checked against data control samples. In the revised manuscript we have added an explicit subsection detailing tag-and-probe studies performed on a large sample of J/ψ → μ⁺μ⁻ decays in data to validate the muon identification efficiencies. We also include comparisons of the relevant kinematic distributions between data and simulation for both decay modes. These studies confirm that any residual data-simulation discrepancies are covered within the quoted 0.32 × 10^{-3} uncertainty; no additional component is required. revision: yes

  2. Referee: [§4.2] §4.2 (invariant-mass fit): the background in the J/ψ μ⁺μ⁻ mass distribution is modeled with a parametric function on top of a low-statistics signal. The paper must demonstrate that alternative background shapes (e.g., polynomial of different order or sideband interpolation) do not shift the signal yield by more than the quoted uncertainty, as even a 15 % relative bias would move the significance below 5σ.

    Authors: We agree that explicit demonstration of background-model robustness is necessary given the limited signal statistics. We have performed the requested checks using alternative background parametrizations: first- and second-order polynomials, an exponential function, and a sideband-interpolation approach. The extracted signal yield varies by at most 9 % across these models, which remains well within the statistical uncertainty of the nominal fit. The significance stays above 6σ in every case. A summary of these studies, including the range of yields obtained, has been added to Section 4.2 of the revised manuscript together with a brief justification of the nominal background choice. revision: yes

Circularity Check

0 steps flagged

Direct experimental extraction of branching fraction ratio with no definitional or self-referential reduction

full rationale

The branching fraction ratio is computed from the ratio of fitted signal yields in the two decay channels, scaled by the ratio of reconstruction efficiencies obtained from simulation. This is a standard data-driven measurement; the reported central value is not presupposed in any input parameter or prior self-citation. Background modeling is performed by fitting parametric shapes to sidebands in the same dataset, providing an independent constraint rather than a closed loop. No equation equates the final result to a fitted input by construction, and the 6.5σ significance arises from the excess over the fitted background in the new channel. The analysis therefore remains self-contained against external benchmarks.

Axiom & Free-Parameter Ledger

1 free parameters · 1 axioms · 0 invented entities

The central claim rests on standard particle-physics assumptions for detector response and background modeling rather than new postulates.

free parameters (1)
  • signal yield in mass fit
    Extracted from data; central to the significance and ratio.
axioms (1)
  • domain assumption LHCb detector simulation accurately reproduces muon and pion efficiencies
    Used to convert observed yields into branching-fraction ratio.

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discussion (0)

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