Bibliographic record
Abstract
Recent results from the ground-based air shower gamma-ray observatories have revealed ultra-high-energy gamma-ray emission (E>100 TeV) from several sources in the Galaxy. Among these, the emission from the SNR G106.3+2.7 region is particularly interesting because the counterpart of the emission is still unclear, and the region is very bright in gamma rays compared to the radio and X-ray bands. Observations with imaging atmospheric Cherenkov telescopes (IACTs) provide unique information about the spatial and energy distributions of the gamma-ray emission from these sources as IACTs have better angular resolution and better sensitivity from ~100 GeV up to ~10 TeV compared to the air shower gamma-ray observatories. Indeed, the discovery of very-high-energy gamma-ray emission (E>100 GeV) in the region by VERITAS has shown a clear extension of the emission that is offset from the nearby pulsar, PSR J2229+6114. Recent MAGIC measurements presented the detection of two separate gamma-ray sources in the region. The counterparts of these sources remain unclear. In this contribution, we present the status of VERITAS observations of the region and discuss the origin of emission based on the recent multiwavelength/multi-messenger observations of the region.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".