Blazar jet emission from gradual magnetic dissipation
Bibliographic record
Abstract
Oral presentation at the 17th HelAS conference. Abstract: Blazar jets shower us with high energy electromagnetic radiation but their emission region, the “blazar zone”, is uncertain because of the inherent limitation of our head-on view of the jets. Emission models vary in both the acceleration mechanism powering the blazar zone and the latter’s extent and location. Here we have adopted a model of magnetic reconnection that drives continuous energy dissipation throughout the jet, gradually varying the jet plasma magnetization and its bulk Lorentz factor with distance from the central engine. We adapted it to a leptonic code that self-consistently calculates photon emission within spherical blobs (LeHaMoC). This was done by treating the jet as a series of segments which interact with each other through radiative transfer. The effects of that radiation spillage are calculated iteratively throughout the jet, accounting for relativistic effects arising from the relative motion of jet segments, until a steady state is reached. We find that this approach produces some distinct differences in the total spectral energy distribution when compared to simply calculating the emission from each constituent sphere of the jet on its own and then adding them up, and can thus be useful in further modeling of expansive emission regions.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".