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Record W4405766294 · doi:10.48550/arxiv.2412.16663

Quantum coherence and the invisible Universe: Subradiance as a dark matter mechanism

2024· preprint· en· W4405766294 on OpenAlexfundno aff
Martin Houde, Fereshteh Rajabi

Bibliographic record

VenueArXiv.org · 2024
Typepreprint
Languageen
FieldMedicine
TopicBiofield Effects and Biophysics
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaInstitut Périmètre de physique théorique
KeywordsQuantum entanglementCoherence (philosophical gambling strategy)QuantumPhysicsQuantum sensorDark matterQuantum mechanicsQuantum networkParticle physics

Abstract

fetched live from OpenAlex

The origin of dark matter in galactic halos, one of the deepest unsolved problems in astrophysics, may find an unexpected contribution from the quantum mechanics of ordinary atomic hydrogen. We show that quantum entanglement and coherence among hydrogen atoms in a gas at thermal equilibrium can naturally lead to subradiance, a cooperative suppression of radiation that renders the gas simultaneously dark in emission, transparent to incident radiation, and effectively collision-less. These three properties, precisely those associated with dark matter, emerge from a single underlying physical mechanism: the entangled structure of Dicke states in the gas. Applying this framework to the 21 cm line of atomic hydrogen in galactic dark matter halos, we find that conditions there place the gas deep in the asymptotic subradiance regime, where the strongly suppressed spontaneous and stimulated intensities cancel exactly. The cold neutral cores of high-velocity clouds, with their observed temperatures near 100 K and inferred dark-to-visible mass ratios of ~100:1, are consistent with this picture. Our results suggest that a significant fraction of the non-luminous matter pervading galactic halos may be familiar atomic hydrogen whose quantum cooperative behavior hides it from view; a solution that may have been hiding in plain sight.

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 categoriesInsufficient payload (model declined to judge)
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 score0.395
Threshold uncertainty score1.000

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 science0.0000.001
Research integrity0.0000.001
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 head0.022
GPT teacher head0.257
Teacher spread0.235 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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