VERITAS follow-up observation of the blazar TXS 0506+056
Bibliographic record
Abstract
The gamma-ray blazar TXS 0506+056 was found with an enhanced gamma-ray emission statein spatial and temporal coincidence with the IceCube high energy neutrino event IC170922A.This is the most significant association by far between a high-energy neutrino event and a blazarin a flaring state. Studying the time evolution and spectral behavior of the blazar emission mayhelp in identifying the sources of the diffuse neutrino flux observed by IceCube and the origin ofenergetic cosmic rays. TXS 0506+056 was detected by the VERITAS gamma-ray observatory witha significance of 5.8 standard deviations above 110 GeV in a 35 hour data set collected betweenSeptember 23, 2017 and February 6, 2018. Here we will present results from recent VERITASobservations and an associated multiwavelength campaign, collected between October 10, 2018to March 1, 2021. A relatively quiet very high energy gamma-ray emission state was observedduring this time period, and flux upper limits are used to constrain the potential variability of thisblazar.
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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 | 0.001 | 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) | 0.002 | 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".