The geometry of intermittent and magnetospheric state changes pulsars
Bibliographic record
Abstract
Context. Pulsars exhibit a variety of phenomena, including intermittency and magnetospheric state changes (MSC) – moding, nulling, and profile ν˙-correlation – which are thought to be related to changes in their magnetospheric plasma. The variation in pulsar emission patterns has been attributed to changes in the flow of magnetospheric plasma above the polar cap, affecting both radio emission and pulsar spin-down (ν˙). Aims. This study aims to explore the link between these behaviours by investigating the geometry and spin-down characteristics of intermittent pulsars and MSC pulsars. Methods. We estimated the magnetic inclination angles for intermittent pulsars and a sample of MSC pulsars using the rotating vector model and pulse-width-period correlations. A ‘plasma filling factor’ was introduced to extend the model proposed by Li et al. (2012b, ApJ, 746, 60) to MSC pulsars, with the aim of providing a unified framework for understanding these phenomena. Results. Our results provide supporting evidence for a relationship between spin-down ratios and inclination angles that aligns with theoretical predictions. We determine the plasma filling factor explaining the observed spin-down variations for a number of pulsars. We also identify unusual emission height characteristics in PSR B1931+24 that suggest distinctive magnetospheric properties in intermittent pulsars. Conclusions. This work establishes a quantitative link between intermittent and MSC pulsars through a simple unified model of magnetospheric plasma depletion. Future observations of additional pulsars with known spin-down variations will be crucial for refining this model and deepening our understanding of pulsar magnetospheres.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".