Density and Velocity Structure of the Be Star Equatorial Disk in the Binary LS I +61o303, a Probable Microquasar
Bibliographic record
Abstract
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 ( v r ) and circular ( v c ) components of the disk gas velocity, which allows us to set limits on v r and v c at that radius. For a given model of the circular velocity, v c ( r ), we can derive v r ( r ) and the gas density, ρ( r ), within a constant. While ρ( r ) depends on the assumed model for v c ( 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 ~10 35 to ~10 36 ergs s -1 , which is comparable to estimates of the total X-ray and γ-ray luminosity for LS I +61°303.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".