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Record W7033832280

Search for NMSSM Higgs bosons in the h->aa->mumu mumu, mumu tautau channels using ppbar collisions at sqrt{s}=1.96 TeV

2009· article· en· W7033832280 on OpenAlexfundno aff

Bibliographic record

VenueLancaster EPrints (Lancaster University) · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicEarthquake and Disaster Impact Studies
Canadian institutionsnot available
FundersInstitut National de Physique Nucléaire et de Physique des ParticulesScience and Technology Facilities CouncilConsejo Nacional de Investigaciones Científicas y TécnicasNatural Sciences and Engineering Research Council of CanadaFundação para o Desenvolvimento da UNESPCentre National de la Recherche ScientifiqueU.S. Department of EnergyVetenskapsrådetConselho Nacional de Desenvolvimento Científico e TecnológicoBundesministerium für Bildung und ForschungRussian Foundation for Basic ResearchFundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de JaneiroWestern Canada Research GridKorea Science and Engineering FoundationDepartment of Science and Technology, Ministry of Science and Technology, IndiaGrantová Agentura České RepublikyDepartamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS)Federal Agency for Science and InnovationDeutsche ForschungsgemeinschaftAlexander von Humboldt-StiftungFundação de Amparo à Pesquisa do Estado de São PauloFermilabNational Science FoundationScience Foundation IrelandSecretaría de Ciencia y Técnica, Universidad de Buenos Aires
KeywordsHiggs bosonPseudoscalarBosonStandard Model (mathematical formulation)Minimal Supersymmetric Standard ModelLarge Hadron ColliderDetector
DOInot available

Abstract

fetched live from OpenAlex

We report on a first search for production of the lightest neutral CP-even Higgs boson (h) in the next-to-minimal supersymmetric standard model, where h decays to a pair of neutral pseudoscalar Higgs bosons (a), using 4.2/fb of data recorded with the D0 detector at Fermilab. The a bosons are required to either both decay to mu^+mu^- or one to mu^+mu^- and the other to tau^+tau^-. No significant signal is observed, and we set limits on its production as functions of M_a and M_h.

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 imitation

Not 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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.084
GPT teacher head0.327
Teacher spread0.243 · 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 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

Citations0
Published2009
Admission routes1
Has abstractyes

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