Using the Double Pulsar Eclipses to Probe Fundamental Physics
Bibliographic record
Abstract
The double pulsar system exhibits unique and spectacular eclipses when pulsar A passes behind pulsar B. We present 3.5 years of eclipse monitoring which provides an unprecedented way of probing pulsar magnetospheres, geometric orientation as well as testing general relativity The eclipse light curve of pulsar A has a rich phenomenology. This includes little observed radio frequency dependence and periodic flux modulations in phase with the rotation of pulsar B, which allow the flux to reach uneclipsed levels in narrow windows. Over the monitoring period, the eclipse profile noticeably changed and we observe a modification in the modulation behavior. We quantitatively analyzed the data using the magnetospheric synchrotron absorption eclipse model proposed by Lyutikov and Thompson under the assumption of a simple dipolar magnetic field geometry The success of the model at reproducing the eclipse profile indicates that the magnetic field configuration is mainly dipolar at a distance of about 0.1 light‐cylinder radii from pulsar B. Model fitting leads to the determination of pulsar B's geometric orientation. Therefore by investigating the time evolution of the eclipse profile we can quantitatively test the effects of relativistic spin precession on pulsar B, as predicted by general relativity Also, we note some peculiar features in the egress that are not well modelled and could potentially help to understand distortions of the magnetic field at the magnetosphere boundary
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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 | 0.001 | 0.001 |
| 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".