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Record W4385365152 · doi:10.22323/1.444.0747

Multi-wavelength Observations of a Long-duration Flare from BL Lacertae

2023· article· en· W4385365152 on OpenAlexfundno aff
C. E. Hinrichs, A. Acharyya, A. C. Sadun

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAstrophysics and Cosmic Phenomena
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaNational Energy Research Scientific Computing CenterU.S. Department of EnergyOffice of ScienceSmithsonian InstitutionNational Science Foundation
KeywordsFlarePhysicsAstrophysicsBL Lac objectWavelengthTelescopeGamma rayAstronomyHigh energyFlux (metallurgy)RadiationBlazarOptics

Abstract

fetched live from OpenAlex

The Very Energetic Radiation Imaging Telescope Array System (VERITAS) is one of the world’s most sensitive very-high-energy (VHE; E > 100 GeV) gamma-ray observatories. VERITAS is used to regularly monitor the VHE flux of selected intermediate-frequency-peaked BL Lac objects (IBLs). IBLs are typically only detected at VHE during flaring episodes, and their VHE emission mechanisms may differ from those of high-frequency-peaked BL Lac objects more commonly detected at VHE. In October-November 2022, VERITAS observed a long duration (≈ 45 days) VHE flare from BL Lacertae for the first time. The initial detection of this flare triggered a multi-wavelength observation campaign on the source. Scientific results from these multi-wavelength observations of this BL Lacertae flaring event will be presented.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.037
GPT teacher head0.249
Teacher spread0.212 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2023
Admission routes1
Has abstractyes

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