The Effects of Stellar Winds on the Envelope Masses of Cooling Low-Mass Dwarfs
Bibliographic record
Abstract
The determination of the true ages of binary millisecond pulsars is critical to our understanding of their spin-down evolution. The only independent way to estimate these ages is to observe the temperatures of their binary companions and to infer their ages based on the results of detailed stellar evolution computations. In this paper we present recent calculations that quantify the effects of (parameterized) stellar winds on the mass of the envelopes of the white dwarf companions. The thickness of the hydrogen-rich envelopes governs the rate at which the companions cool. By exploring a large region of parameter space our preliminary conclusion is that self-induced stellar winds are not likely to have a significant effect on the cooling rates and thus on the inferred ages of the pulsars themselves. Finally we discuss the construction of an extensive library of computational results pertaining to the evolution of binary millisecond pulsar systems. This data is currently being disseminated by a Web server that is capable of filling client requests for both raw data and for animations showing the detailed evolution of these systems over their entire lifetime.
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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 | 0.003 |
| 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 | 0.001 |
| 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".