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Search for Darkonium in <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:msup><mml:mi>e</mml:mi><mml:mo>+</mml:mo></mml:msup><mml:msup><mml:mi>e</mml:mi><mml:mo>−</mml:mo></mml:msup></mml:math> Collisions

2022· article· lv· W4206305299 on OpenAlexafffund

Bibliographic record

VenuePhysical Review Letters · 2022
Typearticle
Languagelv
FieldPhysics and Astronomy
TopicDark Matter and Cosmic Phenomena
Canadian institutionsSt. Francis Xavier UniversityUniversité de MontréalInstitute of Particle PhysicsUniversity of VictoriaMcGill UniversityUniversity of British Columbia
FundersSLAC National Accelerator LaboratoryInstitut National de Physique Nucléaire et de Physique des ParticulesInstituto Nazionale di Fisica NucleareScience and Technology Facilities CouncilUnited States-Israel Binational Science FoundationNorges ForskningsrådMinistry of Education and Science of the Russian FederationBundesministerium für Bildung und ForschungU.S. Department of EnergyEuropean CommissionNatural Sciences and Engineering Research Council of CanadaAlfred P. Sloan FoundationIstituto Nazionale di Fisica NucleareStichting voor Fundamenteel Onderzoek der MaterieDeutsche ForschungsgemeinschaftCommissariat à l'Énergie Atomique et aux Énergies AlternativesMinisterio de Economía y CompetitividadNational Science Foundation
KeywordsDark photonDark matterPhotonColliderLeptonMixing (physics)Standard Model (mathematical formulation)Coupling (piping)

Abstract

fetched live from OpenAlex

Collider searches for dark sectors, new particles interacting only feebly with ordinary matter, have largely focused on identifying signatures of new mediators, leaving much of dark sector structures unexplored. In particular, the existence of dark matter bound states (darkonia) remains to be investigated. This possibility could arise in a simple model in which a dark photon (${A}^{\ensuremath{'}}$) is light enough to generate an attractive force between dark fermions. We report herein a search for a ${J}^{PC}={1}^{\ensuremath{-}\ensuremath{-}}$ darkonium state, the ${\mathrm{\ensuremath{\Upsilon}}}_{D}$, produced in the reaction ${e}^{+}{e}^{\ensuremath{-}}\ensuremath{\rightarrow}\ensuremath{\gamma}{\mathrm{\ensuremath{\Upsilon}}}_{D}$, ${\mathrm{\ensuremath{\Upsilon}}}_{D}\ensuremath{\rightarrow}{A}^{\ensuremath{'}}{A}^{\ensuremath{'}}{A}^{\ensuremath{'}}$, where the dark photons subsequently decay into pairs of leptons or pions, using $514\text{ }\text{ }{\mathrm{fb}}^{\ensuremath{-}1}$ of data collected with the BABAR detector. No significant signal is observed, and we set bounds on the $\ensuremath{\gamma}\ensuremath{-}{A}^{\ensuremath{'}}$ kinetic mixing as a function of the dark sector coupling constant for $0.001<{m}_{{A}^{\ensuremath{'}}}<3.16\text{ }\text{ }\mathrm{GeV}$ and $0.05<{m}_{{\mathrm{\ensuremath{\Upsilon}}}_{D}}<9.5\text{ }\text{ }\mathrm{GeV}$.

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)0.000
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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0090.002

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 head0.019
GPT teacher head0.264
Teacher spread0.244 · 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 designSimulation or modeling
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

Citations3
Published2022
Admission routes2
Has abstractyes

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