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Record W3042673143 · doi:10.1016/j.nima.2020.164562

CsI(Tl) pulse shape discrimination with the Belle II electromagnetic calorimeter as a novel method to improve particle identification at electron–positron colliders

2020· article· en· W3042673143 on OpenAlexafffund
S. Longo, J. M. Roney, C. Cecchi, S. Cunliffe, T. Ferber, H. Hayashii, C. Hearty, A. D. Hershenhorn, A. Kuzmin, E. Manoni, F. Meier, K. Miyabayashi, I. Nakamura, M. Remnev, A. Sibidanov, Y. Unno, Y. Usov, V. Zhulanov

Bibliographic record

VenueNuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment · 2020
Typearticle
Languageen
FieldPhysics and Astronomy
TopicRadiation Detection and Scintillator Technologies
Canadian institutionsUniversity of British ColumbiaInstitute of Particle PhysicsUniversity of Victoria
FundersInstitut National de Physique Nucléaire et de Physique des ParticulesAkademi Sains MalaysiaJapan Society for the Promotion of ScienceNatural Sciences and Engineering Research Council of CanadaCentro de Investigación y de Estudios Avanzados del Instituto Politécnico NacionalIstituto Nazionale di Fisica NucleareNational Institute of InformaticsMinistry of Science and Higher Education of the Russian FederationBundesministerium für Bildung, Wissenschaft und ForschungMinistry of Education and Science of UkraineTürkiye Bilimsel ve Teknolojik Araştırma KurumuNational Foundation for Science and Technology DevelopmentMax-Planck-GesellschaftMinistry of Education, Culture, Sports, Science and TechnologyKorea Institute of Science and Technology InformationLiaoning Revitalization Talents ProgramBundesministerium für Bildung und ForschungMinisterstvo Školství, Mládeže a TělovýchovyKorea Institute of Science and TechnologyThailand Center of Excellence in PhysicsUnited States-Israel Binational Science FoundationGeneralitat ValencianaNational Research FoundationAustrian Science FundCAS Center for Excellence in Particle PhysicsChinese Academy of SciencesU.S. Department of EnergyNational Natural Science Foundation of ChinaAlexander von Humboldt-StiftungCompute CanadaUniversity of TabukNational Science FoundationCanarieDeutsche ForschungsgemeinschaftJavna Agencija za Raziskovalno Dejavnost RSCentre National de la Recherche ScientifiqueUniverzita Karlova v Praze
KeywordsPhysicsScintillationParticle identificationCalorimeter (particle physics)PhotonPositronHadronNuclear physicsElectronPulse (music)OpticsLarge Hadron ColliderDetector

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
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 score0.067
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.035
GPT teacher head0.351
Teacher spread0.316 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

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

Citations22
Published2020
Admission routes2
Has abstractno

Explore more

Same venueNuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated EquipmentSame topicRadiation Detection and Scintillator TechnologiesFrench-language works237,207