MétaCan
Menu
Back to cohort
Record W2769512769 · doi:10.1103/physrevd.97.043008

Cosmological axion and a quark nugget dark matter model

2018· article· en· W2769512769 on OpenAlexafffund
Shuailiang Ge, Xunyu Liang, Ariel Zhitnitsky

Bibliographic record

VenuePhysical review. D/Physical review. D. · 2018
Typearticle
Languageen
FieldPhysics and Astronomy
TopicDark Matter and Cosmic Phenomena
Canadian institutionsUniversity of British Columbia
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsPhysicsAxionParticle physicsOmegaBaryogenesisQuarkDark matterQuantum chromodynamicsUniverseAstrophysicsQuantum mechanics

Abstract

fetched live from OpenAlex

We study a dark matter (DM) model offering a very natural explanation of two (naively unrelated) problems in cosmology: the observed relation ${\mathrm{\ensuremath{\Omega}}}_{\mathrm{DM}}\ensuremath{\sim}{\mathrm{\ensuremath{\Omega}}}_{\text{visible}}$ and the observed asymmetry between matter and antimatter in the Universe, known as the ``baryogenesis'' problem. In this framework, both types of matter (dark and visible) have the same QCD origin, form at the same QCD epoch, and are proportional to one and the same dimensional parameter of the system, ${\mathrm{\ensuremath{\Lambda}}}_{\mathrm{QCD}}$, which explains how these two naively distinct problems could be intimately related, and could be solved simultaneously within the same framework. More specifically, the DM in this model is composed by two different ingredients: the (well-studied) DM axions and the (less-studied) quark nuggets made of matter or antimatter. We focus on the quantitative analysis of the relation between these two distinct components contributing to the dark sector of the theory determined by ${\mathrm{\ensuremath{\Omega}}}_{\mathrm{DM}}\ensuremath{\equiv}[{\mathrm{\ensuremath{\Omega}}}_{\mathrm{DM}}(\text{nuggets})+{\mathrm{\ensuremath{\Omega}}}_{\mathrm{DM}}(\text{axion})]$. We argue that the nuggets' DM component always traces the visible matter density, i.e., ${\mathrm{\ensuremath{\Omega}}}_{\mathrm{DM}}(\text{nuggets})\ensuremath{\sim}{\mathrm{\ensuremath{\Omega}}}_{\text{visible}}$, and this feature is not sensitive to the parameters of the system such as the axion mass ${m}_{a}$ or the misalignment angle ${\ensuremath{\theta}}_{0}$. It should be contrasted with conventional axion production mechanisms due to the misalignment when ${\mathrm{\ensuremath{\Omega}}}_{\mathrm{DM}}(\text{axion})$ is highly sensitive to the axion mass ${m}_{a}$ and the initial misalignment angle ${\ensuremath{\theta}}_{0}$. We also discuss the constraints on this model related to the inflationary scale ${H}_{I}$, nonobservation of the isocurvature perturbations and the tensor modes. We also comment on some constraints related to various axion search experiments.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.854
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.003

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 head0.015
GPT teacher head0.383
Teacher spread0.367 · 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.

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

Citations49
Published2018
Admission routes2
Has abstractyes

Explore more

Same venuePhysical review. D/Physical review. D.Same topicDark Matter and Cosmic PhenomenaFrench-language works237,207