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Medium-induced modification of groomed and ungroomed jet mass and angularities in Pb–Pb collisions at <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si1.svg"> <mml:msqrt> <mml:mrow> <mml:msub> <mml:mrow> <mml:mi>s</mml:mi> </mml:mrow> <mml:mrow> <mml:mi mathvariant="normal">NN</mml:mi> </mml:mrow> </mml:msub> </mml:mrow> </mml:msqrt> <mml:mo linebreak="goodbreak" linebreakstyle="after">=</mml:mo> <mml:mn>5.02</mml:mn> </mml:math>
S. Acharya, A. Agarwal, G. Aglieri Rinella, Luca Aglietta, M. Agnello, N. Agrawal, Z. Ahammed, S. Ahmad, S. U. Ahn, I. Ahuja, A. Akindinov, V. Akishina, M. Al-Turany, D. Aleksandrov, B. Alessandro, H. M. Alfanda, R. Alfaro Molina, Bushra Ali, A. Alici, N. Alizadehvandchali, A. Alkin, J. Alme, G. Alocco, T. Alt, Anna Rita Altamura, I. Altsybeev, Jesús Ricardo Alvarado García, Cesar Omar Ramirez Alvarez, M. N. Anaam, C. Andrei, N. Andreou, A. Andronic, Evgeny Andronov, V. Anguelov, F. Antinori, P. Antonioli, N. Apadula, L. Aphecetche, H. Appelshäuser, C. Arata, S. Arcelli, R. Arnaldi, Jhoao Gabriel Martins Campos Almeida Arneiro, I. C. Arsene, M. Arslandok, A. Augustinus, R. Averbeck, Dmitry Averyanov, M. D. Azmi, H. Baba, A. Badalà, J. Bae, Y. Bae, Y. W. Baek, X. Bai, R. Bailhache, Y. Bailung, R. Bala, A. Balbino, A. Baldisseri, Bartosz Baliś, Z. Banoo, Veronika Barbasová, F. Barile, L. Barioglio, M. Barlou, Banajit Barman, G. G. Barnaföldi, L. S. Barnby, E. Barreau, V. Barret, L. 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Burmasov, Edith Zinhle Buthelezi, A. Bylinkin, S. A. Bysiak, Juan Carlos Cabanillas Noris, M. F. T. Cabrera, H. Caines, A. Calivà, E. Calvo Villar, J. M. M. Camacho, P. Camerini, Fabio de Moraes Canedo, Mihai Carabaș, Aitor Amatriain Carballo, F. Carnesecchi, R. Caron, L. A. D. Carvalho, J. Castillo Castellanos, Matteo Castoldi, F. Catalano, Samuele Cattaruzzi, R. Cerri, I. Chakaberia, Pritam Chakraborty, S. Chandra, S. Chapeland, M. Chartier, S. Chattopadhay, M. Chen, T. Cheng, C. Cheshkov, Davide Chiappara, V. Chibante Barroso, D. D. Chinellato, E. S. Chizzali, J. Cho, S. Cho, P. Chochula, Zuzanna Anna Chochulska, Debajyoti Choudhury, S. Choudhury, P. Christakoglou, C. H. Christensen, P. Christiansen, T. Chujo, M. Ciacco, C. Cicalò, F. Cindolo, M.R. Ciupek, Giulia Clai, F. Colamaria, J. S. Colburn, D. Colella, Angelo Colelli, M. Colocci, M. Concas, G. Conesa Balbastre, Z. Conesa del Valle, G. Contin, J. G. Contreras, M. L. Coquet, P. Cortese, M. R. Cosentino, Filippo Costa, S. Costanza, Corentin Cot, P. Crochet, M. M. Czarnynoga, A. Dainese, Gautam Dange, Meike Charlotte Danisch, A. Danu, P. Das, S. Das, A. Dash, Sadhana Dash, A. De, G. de Cataldo, J. de Cuveland, A. De Falco, D. De Gruttola, N. De Marco, C. De Martín, S. De Pasquale, Rohaan Deb, R. Del Grande, L. Dello Stritto, W. Deng, Kyle Christian Devereaux, P. Dhankher, D. Di Bari, A. Di Mauro, B. Di Ruzza, Batoul Diab, Raúl Arteche Díaz, Yanchun Ding, J. Ditzel, R. Divià, Ø. Djuvsland, U. Dmitrieva, A. Dobrin, B. Dönigus, Jan Michal Dubinski, A. Dubla, P. Dupieux, Natalia Dzalaiova, Tabea Maria Eder, R. J. Ehlers, Florian Eisenhut, Ren Ejima, D. Elia, B. Erazmus, F. Ercolessi, B. Espagnon, G. Eulisse, D. Evans, S. Evdokimov, L. Fabbietti, M. Faggin, J. Faivre, F. Fan, W. Fan, A. Fantoni, M. Fasel, Г. Феофилов, A. Fernández Téllez, L. Ferrandi, M. B. Ferrer, A. Ferrero, C. Ferrero, A. Ferretti, V. J. G. Feuillard, V. Filova, D. Finogeev, F. M. Fionda, E. Flatland, F. Flor, Amanda Nicole Flores, S. 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Majerz, M. Makariev, M. Malaev, G. Malfattore, N. M. Malik, S.K. Malik, D. Mallick, Neelkamal Mallick, G. Mandaglio, Sushobhan Kumar Mandal, A. Manea, V. Manko, F. Manso, V. Manzari, Y. Mao, R. W. Marcjan, G. V. Margagliotti, A. Margotti, Ana Maria Marin, C. Markert, Ciro Fabian Bermudez Marquez, P. Martinengo, Mario Iván Martínez Hernández, G. Martınez García, M. P. P. Martins, S. Masciocchi, M. Masera, A. Masoni, L. Massacrier, Olaf Massen, A. Mastroserio, S. Mattiazzo, A. Matyja, F. Mazzaschi, M. Mazzilli, Y. Melikyan, Maria Monalisa de Melo Paulino, A. Menchaca-Rocha, J. E. M. Mendez, E. Meninno, A. S. Menon, M. W. Menzel, M. Meres, L. Micheletti, D. Mihai, Dimitar Lubomirov Mihaylov, Konstantin Mikhaylov, N. Minafra, D. Miśkowiec, A. Modak, B. Mohanty, M. Mohisin Khan, Mikael Andreas Molander, M. M. Mondal, Shirajum Monira, C. Mordasini, D. A. Moreira De Godoy, I. Morozov, A. Morsch, Teo Mrnjavac, V. Muccifora, S. Muhuri, James Declan Mulligan, A. Mulliri, M. G. Munhoz, Robert Helmut Münzer, Hikari Murakami, S. Murray, L. Musa, J. Mušinský, J. W. Myrcha, Bharati Naik, Anjali Ila Nambrath, Basanta Kumar Nandi, R. Nania, E. Nappi, Adrian Fereydon Nassirpour, Vlad-Iulius Nastase, A. Nath, S. Nath, C. Nattrass, M. N. Naydenov, A. Neagu, A. Negru, Evgeniia Nekrasova, L. Nellen, Roman Nepeivoda, S. Nese, Nicola Nicassio, B. S. Nielsen, E. G. Nielsen, S. Nikolaev, V. Nikulin, F. Noferini, S. Y. Noh, P. Nomokonov, J. Norman, N. Novitzky, P. Nowakowski, A. Nyanin, J. Nystrand, S. Oh, A. Ohlson, В. А. Окороков, J. Oleniacz, A. Önnerstad, C. Oppedisano, A. Ortiz Velasquez, J. Otwinowski, M. Oya, K. Oyama, S. Padhan, D. Pagano, G. Paić, S. Paisano-Guzmán, A. Palasciano, Iaroslav Panasenko, S. Panebianco, C. Pantouvakis, H. Park, J. Park, S. Park, Jasper Elias Parkkila, Y. Patley, R.N. Patra, B. Paul, H. Pei, T. Peitzmann, X. Peng, M. Pennisi, Stefania Perciballi, D. Peresunko, Guillermo Mesa Pérez, Y. Pestov, M.T. Petersen, V. Petrov, M. Petrovici, S. 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Røhr, D. Röhrich, Solangel Rojas Torres, P. S. Rokita, G. Romanenko, F. Ronchetti, E.D. Rosas, K. Rosłon, A. Rossi, Ankhi Roy, Subhadeep Roy, N. Rubini, Justus Arne Rudolph, D. Ruggiano, R. Rui, Pawel Grzegorz Russek, R. Russo, A. Rustamov, E. Ryabinkin, Y. Ryabov, A. Rybicki, J. Ryu, W. Rzesa, Bianca Sabiu, S. Sadovsky, J. Saetre, S. Saha, Bhagyarathi Sahoo, R. Sahoo, Dushmanta Sahu, P. K. Sahu, J. Saini, K. Sajdakova, S. Sakai, M. P. Salvan, S. Sambyal, D. Samitz, I. Sanna, T. B. Saramela, D. Sarkar, P. Sarma, Valerio Sarritzu, V. M. Sarti, M. H. P. Sas, S. Sawan, E. Scapparone, Horst Sebastian Scheid, C. Schiaua, R. Schicker, F. Schlepper, A. Schmah, C. Schmidt, M. Schmidt, Nicolas Schmidt, Austin Robert Schmier, Romain Schotter, J. Schukraft, K. Schweda, G. Scioli, E. Scomparin, Janet Elizabeth Seger, Y. Sekiguchi, Daiki Sekihata, M. Selina, I. Selyuzhenkov, S. Senyukov, Jin Joo Seo, D. Serebryakov, L. Serkin, L. Šerkšnytė, A. Sevcenco, Tebogo Joyce Shaba, A. Shabetai, R. 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Bibliographic record
VenuePhysics Letters B · 2025
Typearticle
Languagelv
FieldPhysics and Astronomy
TopicHigh-Energy Particle Collisions Research
Canadian institutionsnot available
FundersInternational Council of Shopping CentersNuclear PhysicsNational Research, Development and Innovation OfficeOntario Ministry of Research and InnovationInstituto Nazionale di Fisica NucleareScience and Technology Facilities CouncilCentro de Aplicaciones Tecnológicas y Desarrollo NuclearInstitutul de Fizică AtomicăIstituto Nazionale di Fisica NuclearePontificia Universidad Católica del PerúUniversité de LyonMinistry of Higher Education and Scientific ResearchState Committee of ScienceForskningsrådet om Hälsa, Arbetsliv och VälfärdGSI Helmholtzzentrum für SchwerionenforschungUniversity of TsukubaCommissariat à l'Énergie Atomique et aux Énergies AlternativesMinistry of Education and ScienceUniversidade Federal do Rio Grande do SulWestfälische Wilhelms-Universität MünsterFondo de Cooperación Internacional en Ciencia y TecnologíaTürkiye Enerji, Nükleer ve Maden Araştırma KurumuNational Academy of Sciences of UkraineSuranaree University of TechnologyNational Research Foundation of KoreaNational Natural Science Foundation of ChinaNational Science and Technology Development AgencyBadan Riset dan Inovasi NasionalKnut och Alice Wallenbergs StiftelseVetenskapsrådetFinanciadora de Estudos e ProjetosUniversité Paris-SaclayDepartment of Science and Technology, Ministry of Science and Technology, IndiaUniversité de StrasbourgNarodowe Centrum NaukiMinisterstwo Edukacji i NaukiConselho Nacional de Desenvolvimento Científico e TecnológicoGeneral Secretariat for Research and TechnologyDanmarks GrundforskningsfondMinisterstvo školstva, vedy, výskumu a športu Slovenskej republikyDirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de MéxicoConsejo Nacional de Ciencia y TecnologíaKorea Institute of Science and TechnologyFP7 International CooperationMinistry of Education, Culture, Sports, Science and TechnologyBundesministerium für Bildung und ForschungEuropean Research CouncilCentre National de la Recherche ScientifiqueAcademy of FinlandU.S. Department of EnergyDanmarks Frie ForskningsfondÖsterreichischen Akademie der WissenschaftenEuropean CommissionFundação de Amparo à Pesquisa do Estado de São PauloKorea Institute of Science and Technology InformationDeutsche ForschungsgemeinschaftNederlandse Organisatie voor Wetenschappelijk OnderzoekMinistry of Science and Technology of the People's Republic of ChinaDepartment of Atomic Energy, Government of IndiaUniversity of Science and Technology of ChinaMinistry of Education of the People's Republic of ChinaHrvatska Zaklada za ZnanostUniversity Grants CommissionCouncil of Scientific and Industrial Research, IndiaGrantová Agentura České RepublikyAustrian Science FundInstitut National de Physique Nucléaire et de Physique des ParticulesÖsterreichische Nationalstiftung für Forschung, Technologie und EntwicklungNemzeti Kutatási Fejlesztési és Innovációs HivatalNational Research FoundationNorges ForskningsrådNatur og Univers, Det Frie ForskningsrådCERNHelsinki Institute of PhysicsJapan Society for the Promotion of ScienceVillum FondenNational Science Foundation
KeywordsPhysicsJet (fluid)Particle physicsNuclear physicsThermodynamics
Abstract
The ALICE Collaboration presents a new suite of jet substructure measurements in Pb–Pb and pp collisions at a center-of-mass energy per nucleon pair s NN = 5.02 . These measurements provide access to the internal structure of jets via the momentum and angle of their constituents, probing how the quark–gluon plasma modifies jets, an effect known as jet quenching. Jet grooming additionally removes soft wide-angle radiation to enhance perturbative accuracy and reduce experimental uncertainties. We report the groomed and ungroomed jet mass m jet and jet angularities λ α κ using κ = 1 and α > 0 . Charged-particle jets are reconstructed at midrapidity using the anti- k T algorithm with resolution parameter R = 0.2 . A narrowing of the jet mass and angularity distributions in Pb–Pb collisions with respect to pp is observed and is enhanced for groomed results, confirming modification of the jet core. By using consistent jet definitions and kinematic cuts between the mass and angularities for the first time, previous inconsistencies in the interpretation of quenching measurements are resolved, rectifying a hurdle for understanding how jet quenching arises from first principles and highlighting the importance of a well-controlled baseline. These results are compared with a variety of theoretical models of jet quenching, providing constraints on jet energy-loss mechanisms in the quark–gluon plasma.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.862
Threshold uncertainty score1.000
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.003 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.154 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
Opus teacher head0.017
GPT teacher head0.249
Teacher spread0.232 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
Meta-epidemiology (narrow)Science and technology studiesResearch integrityInsufficient payload (model declined to judge)
Study designBench or experimental
Domainnot available
GenreEmpirical
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".
Quick stats
Citations2
Published2025
Admission routes1
Has abstractyes