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Search for heavy neutral lepton production in K+ decays

2018· article· en· W2772229785 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenuePhysics Letters B · 2018
Typearticle
Languageen
FieldPhysics and Astronomy
TopicParticle physics theoretical and experimental studies
Canadian institutionsUniversity of British ColumbiaTRIUMF
FundersInstituto Nazionale di Fisica NucleareRussian Academy of SciencesNatural Sciences and Engineering Research Council of CanadaJoint Institute for Nuclear ResearchMinistry of Education and Science of the Russian FederationScience and Technology Facilities CouncilNational Research Council CanadaMinistero dell’Istruzione, dell’Università e della RicercaMinistry of Education, Youth and ScienceInstitutul de Fizică AtomicăFonds De La Recherche Scientifique - FNRSBundesministerium für Bildung und ForschungH2020 European Research CouncilMinisterstvo Školství, Mládeže a TělovýchovyNational Science FoundationRoyal SocietyTRIUMFConsejo Nacional de Ciencia y TecnologíaGrantová Agentura, Univerzita KarlovaIstituto Nazionale di Fisica NucleareCERNUniverzita Karlova v PrazeMinisterstvo školstva, vedy, výskumu a športu Slovenskej republiky
KeywordsPhysicsLeptonParticle physicsNeutrinoNuclear physicsLarge Hadron ColliderProduction (economics)Range (aeronautics)Electron

Abstract

fetched live from OpenAlex

A search for heavy neutral lepton production in K + decays using a data sample collected with a minimum bias trigger by the NA62 experiment at CERN in 2015 is reported. Upper limits at the 10 − 7 to 10 − 6 level are established on the elements of the extended neutrino mixing matrix | U e 4 | 2 and | U μ 4 | 2 for heavy neutral lepton mass in the ranges 170–448 MeV/ c 2 and 250–373 MeV/ c 2 , respectively. This improves on the previous limits from HNL production searches over the whole mass range considered for | U e 4 | 2 , and above 300 MeV/ c 2 for | U μ 4 | 2 .

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.255
Threshold uncertainty score0.464

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.024
GPT teacher head0.293
Teacher spread0.268 · 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