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Combined Measurement of the Higgs Boson Mass from the <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:mi>H</mml:mi><mml:mo stretchy="false">→</mml:mo><mml:mi>γ</mml:mi><mml:mi>γ</mml:mi></mml:mrow></mml:math> and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:mi>H</mml:mi><mml:mo stretchy="false">→</mml:mo><mml:mi>Z</mml:mi><mml:msup><mml:mrow><mml:mi>Z</mml:mi></mml:mrow><mml:mrow><mml:mo>*</mml:mo></mml:mrow></mml:msup><mml:mo stretchy="false">→</mml:mo><mml:mn>4</mml:mn><mml:mo>ℓ</mml:mo></mml:mrow></mml:math> Decay Channels with the ATLAS Detector Using <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:msqrt><mml:mrow><mml:mi>s</mml:mi></mml:mrow></mml:msqrt><mml:mo>=</mml:mo><mml:mn>7</mml:mn></mml:mrow></mml:math>, 8, and 13 TeV <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mi>p</mml:mi><mml:mi>p</mml:mi></mml:math> Collision Data
G. Aad, B. Abbott, Nils Julius Abicht, S. H. Abidi, A. Aboulhorma, H. Abramowicz, H. Abreu, Y. Abulaiti, B. S. Acharya, C. Adam Bourdarios, L. Adamczyk, S. V. Addepalli, Matt Addison, J. Adelman, A. Adıgüzel, T. Adye, A. A. Affolder, Y. Afik, M. N. Agaras, J. Agarwala, A. Aggarwal, C. Agheorghiesei, A. Ahmad, F. Ahmadov, W. S. Ahmed, S. Ahuja, X. Ai, G. Aielli, A. Aikot, M. Ait Tamlihat, B. Aitbenchikh, I. Aizenberg, M. Akbiyik, T. P. A. Åkesson, A. V. Akimov, D. Akiyama, Nilima Nilesh Akolkar, K. Al Khoury, G. L. Alberghi, J. Albert, P. Albicocco, Guillaume Lucas Albouy, S. Alderweireldt, M. Aleksa, C. Alexa, T. Alexopoulos, Fabrizio Alfonsi, M. Algren, M. Alhroob, B. Ali, H. M. J. Ali, Samuel William Alibocus, G. Alimonti, W. Alkakhi, C. Allaire, Benedict Allbrooke, Julia Frances Allen, C. Flores, P. P. Allport, A. Aloisio, F. Alonso, C. Alpigiani, M. Alvarez Estevez, A. Álvarez Fernández, Mario Alves Cardoso, M. G. Alviggi, M. Aly, A. Ambler, Christoph Amelung, M. Amerl, C. G. Ames, D. Amidei, S. P. Amor Dos Santos, K. R. Amos, V. Ananiev, C. Anastopoulos, T. Andeen, J. K. Anders, S. Y. Andrean, A. Andreazza, S. Angelidakis, A. Angerami, A. V. Anisenkov, A. Annovi, C. Antel, M. T. Anthony, E. Antipov, M. Antonelli, F. Anulli, M. Aoki, T. Aoki, J. A. Aparisi Pozo, M. A. Aparo, L. Aperio Bella, C. Appelt, A. Apyan, Nordin Aranzabal Barrio, Sergio Javier Arbiol Val, C. Arcangeletti, A. T. H. Arce, Eloisa Arena, J-F. Arguin, S. Argyropoulos, J.-H. Arling, O. Arnaez, H. Arnold, G. Artoni, H. Asada, K. Asai, S. Asai, N. Asbah, J. Assahsah, K. Assamagan, R. Astalos, Rose Atashi, R. J. Atkin, Markus Julian Atkinson, P. A. Atmasiddha, K. Augsten, S. Auricchio, A. D. Auriol, V. A. Austrup, G. Avolio, K. Axiotis, G. Azuelos, Dominik Babal, H. Bachacou, K. Bachas, A. Bachiu, F. Backman, A. Badea, R. M. Bianchi, Yizhou Cai, Luiz Caloba, A. Cerri, Charlie Chen, H. Chen, Jiayi Chen, Xin Chen, M. C. Chu, J. Dingfelder, D. Duda, Y. Fang, A. B. Fenyuk, D. Francis, C. Garcı́a, Antonio Giannini, Maximilian Emanuel Goblirsch-Kolb, Alex Grillo, E. Gross, C. Grud, W. Guan, Liang Han, Dines Hansen, P. F. Harrison, Christopher Robyn Hayes, C. P. Hays, Yajun He, Kim Katrin Heidegger, J. Heilman, S. Heim, Y. Horii, X. Jia, A. Lebedev, Ting Fung Lee, H. Li, B. Liberti, Jianbei Liu, Peilian Liu, Yanhui Ma, H. Potti, S. Rodriguez Bosca, L. Sawyer, A. Seiden, P. Sherwood, H. Simpson, J. C. Vermeulen, S. Wada, Wei Wang, Terry Wyatt, Y. Wu, Da Xu, H. Yang, H. Ye, T. Zhang
Bibliographic record
VenuePhysical Review Letters · 2023
Typearticle
Languagelv
FieldPhysics and Astronomy
TopicParticle physics theoretical and experimental studies
Canadian institutionsUniversity of British ColumbiaYork UniversityUniversity of TorontoSimon Fraser UniversityTRIUMFCarleton UniversityUniversity of AlbertaUniversité de MontréalInstitute of Particle PhysicsUniversity of VictoriaMcGill University
FundersIrish Rugby Football UnionH2020 Marie Skłodowska-Curie ActionsRutherford Appleton LaboratoryAgencia Nacional de Promoción Científica y TecnológicaFundação para a Ciência e a TecnologiaJapan Society for the Promotion of ScienceAustralian Research CouncilNational Research Council CanadaHorizon 2020 Framework ProgrammeAgencia Nacional de Investigación y DesarrolloServices Fédéraux des Affaires Scientifiques, Techniques et CulturellesH2020 European Research CouncilNorges ForskningsrådMinisterio de Ciencia e InnovaciónInstitut National de Physique Nucléaire et de Physique des ParticulesMinistry of Science and Technology, TaiwanCanada Foundation for InnovationConselho Nacional de Desenvolvimento Científico e TecnológicoNarodowe Centrum NaukiKnut och Alice Wallenbergs StiftelseBrookhaven National LaboratoryEuropean Regional Development FundBritish Columbia Knowledge Development FundCentre National de la Recherche ScientifiqueMax-Planck-GesellschaftNella and Leon Benoziyo Center for Neurological Diseases, Weizmann Institute of ScienceCanada Research ChairsGöran Gustafssons Stiftelse för Naturvetenskaplig och Medicinsk ForskningBundesministerium für Wissenschaft, Forschung und WirtschaftMinisterio de Ciencia, Tecnología e InnovaciónGeneralitat ValencianaGeneralitat de CatalunyaNederlandse Organisatie voor Wetenschappelijk OnderzoekDeutsche ForschungsgemeinschaftChinese Academy of SciencesNatural Sciences and Engineering Research Council of CanadaMinistry of Education, Culture, Sports, Science and TechnologyBundesministerium für Bildung und ForschungMinisterstvo Školství, Mládeže a TělovýchovyEuropean CommissionLeverhulme TrustFundação de Amparo à Pesquisa do Estado de São PauloGerman-Israeli Foundation for Scientific Research and DevelopmentScience and Technology Facilities CouncilSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungAgence Nationale de la RechercheAustrian Science FundJavna Agencija za Raziskovalno Dejavnost RSNational Research FoundationNarodowa Agencja Wymiany AkademickiejEuropean Cooperation in Science and TechnologyInstituto Nazionale di Fisica NucleareUnited States-Israel Binational Science FoundationHelmholtz-GemeinschaftDanmarks GrundforskningsfondTürkiye Enerji, Nükleer ve Maden Araştırma KurumuAzərbaycan Milli Elmlər Akademiyası“la Caixa” FoundationEuropean Social FundCentre National pour la Recherche Scientifique et TechniqueRoyal SocietyCompute CanadaNational Science FoundationAlexander von Humboldt-StiftungTRIUMFNorth Dakota Game and Fish DepartmentTürkiye Atom Enerjisi KurumuCentres de Recerca de CatalunyaCERNCanarieIsrael Science FoundationNational Natural Science Foundation of ChinaU.S. Department of EnergyMinistry of Science and Technology of the People's Republic of China
KeywordsHiggs bosonAtlas detectorAtlas (anatomy)PhysicsCollisionParticle physicsNuclear physicsLarge Hadron ColliderDetectorATLAS experimentComputer scienceGeologyOpticsProgramming language
Abstract
Combined measurement of the Higgs boson mass from the 𝑯 → 𝜸𝜸 and 𝑯 → 𝒁𝒁 * → 4ℓ decay channels with the ATLAS detector using √ 𝒔 = 7, 8 and 13 TeV 𝒑 𝒑 collision data The ATLAS Collaboration A measurement of the mass of the Higgs boson combining the 𝐻 → 𝑍 𝑍 * → 4ℓ and 𝐻 → 𝛾𝛾 decay channels is presented.The result is based on 140 fb -1 of proton-proton collision data collected by the ATLAS detector during LHC Run 2 at a centre-of-mass energy of 13 TeV combined with the Run 1 ATLAS mass measurement, yielding a Higgs boson mass of 125.11 ± 0.09 (stat.)± 0.06 (syst.)= 125.11± 0.11 GeV.This corresponds to a 0.09% precision achieved on this fundamental parameter of the Standard Model of particle physics.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score0.084
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.025 | 0.012 |
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 head0.024
GPT teacher head0.253
Teacher spread0.230 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
The models applied no category: nothing in the taxonomy fit this work.
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
Citations31
Published2023
Admission routes2
Has abstractyes