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Record W2062730780 · doi:10.1063/1.4772234

Status and highlights of VERITAS

2012· article· en· W2062730780 on OpenAlexaboutno aff

Bibliographic record

VenueAIP conference proceedings · 2012
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAstrophysics and Cosmic Phenomena
Canadian institutionsnot available
Fundersnot available
KeywordsObservatoryCherenkov radiationCherenkov Telescope ArrayTelescopeHigh energyUpgradeBackground radiation

Abstract

fetched live from OpenAlex

VERITAS (Very Energetic Radiation Imaging Telescope Array System) is an array of atmospheric Cherenkov telescopes sensitive to very high energy (VHE) gamma-rays above 100 GeV. Located at the Fred Lawrence Whipple Observatory in southern Arizona, USA, the VERITAS array of four 12m-diameter telescopes began full operation in September 2007. Two major upgrades, the relocation of telescope 1 in Summer 2009 and the upgrade of the level-2 trigger in Fall 2011, made VERITAS the most sensitive VHE instrument in the northern hemisphere. The VERITAS Collaboration consists of scientists from institutions in the USA, Canada, Germany and Ireland. VERITAS is performing observations that cover a broad range of science topics, including the study of galactic and extragalactic astrophysical sources of VHE radiation and the study of particle astrophysics, such as the indirect search for dark matter in astrophysical environments. The VERITAS observational campaigns resulted in the detection of 40 VHE sources, including the discovery of 20 new VHE gamma-ray emitting sources. Here we summarize the current status of the observatory, describe the recent scientific highlights and outline plans for the future.

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)0.014
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.035
Threshold uncertainty score0.117

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.015
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0020.001
Scholarly communication0.0080.010
Open science0.0040.003
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0350.014

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 head0.014
GPT teacher head0.228
Teacher spread0.213 · 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 designNot applicable
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
Published2012
Admission routes1
Has abstractyes

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