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Record W2110530179 · doi:10.1086/343764

Density and Velocity Structure of the Be Star Equatorial Disk in the Binary LS I +61o303, a Probable Microquasar

2002· article· en· W2110530179 on OpenAlexaff
P. C. Gregory, C. D. Neish

Bibliographic record

VenueThe Astrophysical Journal · 2002
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAstrophysical Phenomena and Observations
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPhysicsAstrophysicsNeutron starRADIUSAccretion (finance)Eddington luminosityX-ray binaryRadial velocityLuminosityGalaxyStars

Abstract

fetched live from OpenAlex

We explore a new method for investigating the density and velocity structure of the Be star equatorial disk in LS I +61°303, based on its variable radio emission. At a particular radius the method yields a circularly shaped solution locus in the radial (vr) and circular (vc) components of the disk gas velocity, which allows us to set limits on vr and vc at that radius. For a given model of the circular velocity, vc(r), we can derive vr(r) and the gas density, ρ(r), within a constant. While ρ(r) depends on the assumed model for vc(r), we find that the fractional change in gas density at any radius does not. This allows us to study the evolution in ρ(r) with time. The analysis indicates that the previously demonstrated ~4.6 yr modulation in radio properties results from an outward-moving density enhancement or shell in the equatorial disk with a velocity of ~1.0 km s-1. We propose that each new shell ejection may be triggered by the interaction of a short-lived relativistic wind (ejector phase) from the neutron star with the rapidly rotating Be star. Our best estimates of the mass accretion rate of the neutron star are in the range ~0.001 to ~0.01 of the Eddington accretion limit. This translates to an expected luminosity range of ~1035 to ~1036 ergs s-1, which is comparable to estimates of the total X-ray and γ-ray luminosity for LS I +61°303.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.669
Threshold uncertainty score0.406

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.015
GPT teacher head0.212
Teacher spread0.197 · 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 designObservational
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

Citations39
Published2002
Admission routes1
Has abstractyes

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