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Record W4406105193 · doi:10.1093/mnras/staf012

An analytic model of gravitational collapse induced by radiative cooling: instability scale, density profile, and mass infall rate

2025· article· en· W4406105193 on OpenAlexafffund
James Gurian, Boyuan Liu, Donghui Jeong, Takashi Hosokawa, Shingo Hirano, Naoki Yoshida

Bibliographic record

VenueMonthly Notices of the Royal Astronomical Society · 2025
Typearticle
Languageen
FieldEngineering
TopicParticle Dynamics in Fluid Flows
Canadian institutionsPerimeter Institute
FundersJapan Society for the Promotion of ScienceInnovation, Science and Economic Development CanadaInstitut Périmètre de physique théoriqueDeutsche ForschungsgemeinschaftGovernment of CanadaMinistry of Colleges and UniversitiesCalifornia Department of Fish and Game
KeywordsPhysicsGravitational instabilityGravitational collapseRadiative coolingRadiative transferAstrophysicsInstabilityGravitationScale (ratio)MechanicsClassical mechanicsOpticsQuantum mechanics

Abstract

fetched live from OpenAlex

ABSTRACT We present an analytic description of the spherically symmetric gravitational collapse of radiatively cooling gas clouds, which illustrates the mechanism by which radiative cooling induces gravitational instability at a characteristic mass scale determined by the microphysics of the gas. The approach is based on developing the density–temperature relationship of the gas into a full dynamical model. We convert the density–temperature relationship into a barotropic equation of state, based on which we develop a refined instability criterion and calculate the density and velocity profiles of the gas. From these quantities, we determine the time-dependent mass infall rate on to the centre of the cloud. This approach distinguishes the rapid, quasi-equilibrium contraction of a cooling gas core to high central densities from the legitimate instability this contraction establishes in the envelope. We explicate the model in the context of a primordial mini-halo cooled by molecular hydrogen, and then provide two further examples: a delayed collapse with hydrogen deuteride cooling and the collapse of an atomic-cooling halo. In all three cases, we show that our results agree well with full hydrodynamical treatments.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.134
Threshold uncertainty score0.614

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)0.0000.000

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 head0.008
GPT teacher head0.218
Teacher spread0.210 · 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 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

Citations2
Published2025
Admission routes2
Has abstractyes

Explore more

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