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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 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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.382
Threshold uncertainty score0.747

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)0.0000.001

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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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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