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Probing the Dark Sector with Dark Matter Bound States

2016· article· en· W2118089475 on OpenAlexafffund
Haipeng An, B. Echenard, Maxim Pospelov, Yue Zhang

Bibliographic record

VenuePhysical Review Letters · 2016
Typearticle
Languageen
FieldPhysics and Astronomy
TopicDark Matter and Cosmic Phenomena
Canadian institutionsUniversity of VictoriaPerimeter Institute
FundersNatural Sciences and Engineering Research Council of CanadaInstitut Périmètre de physique théoriqueAspen Center for PhysicsCalifornia Institute of TechnologyMedtronicGordon and Betty Moore FoundationU.S. Department of EnergyWalter Burke Institute for Theoretical PhysicsGovernment of CanadaNational Science Foundation
KeywordsPhysicsParticle physicsDark matterLeptonProduction (economics)Sensitivity (control systems)Energy (signal processing)Coupling (piping)Standard Model (mathematical formulation)Nuclear physicsElectronQuantum mechanics

Abstract

fetched live from OpenAlex

A model of the dark sector where $O(\text{few}\text{ }\text{ }\mathrm{GeV})$ mass dark matter particles $\ensuremath{\chi}$ couple to a lighter dark force mediator $V$, ${m}_{V}\ensuremath{\ll}{m}_{\ensuremath{\chi}}$, is motivated by the recently discovered mismatch between simulated and observed shapes of galactic halos. Such models, in general, provide a challenge for direct detection efforts and collider searches. We show that for a large range of coupling constants and masses, the production and decay of the bound states of $\ensuremath{\chi}$, such as ${0}^{\ensuremath{-}+}$ and ${1}^{\ensuremath{-}\ensuremath{-}}$ states, ${\ensuremath{\eta}}_{D}$ and ${\mathrm{\ensuremath{\Upsilon}}}_{D}$, is an important search channel. We show that ${e}^{+}{e}^{\ensuremath{-}}\ensuremath{\rightarrow}{\ensuremath{\eta}}_{D}+V$ or ${\mathrm{\ensuremath{\Upsilon}}}_{D}+\ensuremath{\gamma}$ production at $B$ factories for ${\ensuremath{\alpha}}_{D}>0.1$ is sufficiently strong to result in multiple pairs of charged leptons and pions via ${\ensuremath{\eta}}_{D}\ensuremath{\rightarrow}2V\ensuremath{\rightarrow}2({l}^{+}{l}^{\ensuremath{-}})$ and ${\mathrm{\ensuremath{\Upsilon}}}_{D}\ensuremath{\rightarrow}3V\ensuremath{\rightarrow}3({l}^{+}{l}^{\ensuremath{-}})$ $(l=e,\ensuremath{\mu},\ensuremath{\pi})$. The absence of such final states in the existing searches performed at BABAR and Belle sets new constraints on the parameter space of the model. We also show that a search for multiple bremsstrahlung of dark force mediators, ${e}^{+}{e}^{\ensuremath{-}}\ensuremath{\rightarrow}\ensuremath{\chi}\overline{\ensuremath{\chi}}+nV$, resulting in missing energy and multiple leptons, will further improve the sensitivity to self-interacting dark matter.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.009
GPT teacher head0.236
Teacher spread0.227 · 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 designTheoretical or conceptual
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

Citations46
Published2016
Admission routes2
Has abstractyes

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