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Record W4385306097 · doi:10.22323/1.444.0941

VERITAS and HAWC observations of unidentified source LHAASO J2108+5157

2023· article· en· W4385306097 on OpenAlexfundno aff
S. Kumar, Michael Martin, Xiaojie Wang

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAstrophysics and Cosmic Phenomena
Canadian institutionsnot available
FundersLos Alamos National LaboratoryInstitute for Cosmic Ray Research, University of TokyoOffice of National Higher Education Science Research and Innovation Policy CouncilBenemérita Universidad Autónoma de PueblaCoordinación de la Investigación CientíficaGeneralitat ValencianaNational Energy Research Scientific Computing CenterOffice of ScienceNational Aeronautics and Space AdministrationU.S. Department of EnergyGoddard Space Flight CenterDirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de MéxicoNatural Sciences and Engineering Research Council of CanadaSmithsonian InstitutionLaboratory Directed Research and DevelopmentConsejo Nacional de Ciencia y TecnologíaNational Science Foundation
KeywordsPhysicsAstrophysicsAstronomy

Abstract

fetched live from OpenAlex

Understanding the complete nature of Galactic sources that accelerate cosmic rays up to $10^{15}$ eV energy (Galactic PeVatrons) is still an unsolved problem in high-energy astrophysics. Although supernova remnants have long been considered the best candidates for Galactic PeVatrons, a clear association of SNRs with PeVatrons needs further exploration. Recently, the LHAASO collaboration published its first catalog of 90 very high energy (VHE) gamma-ray sources, and a few of them have no obvious counterparts at other wavelengths. Here, we will present morphology and spectral analysis of one such unassociated source LHAASO J2108+5157 using VERITAS and HAWC data.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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.

Opus teacher head0.021
GPT teacher head0.225
Teacher spread0.204 · 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

Citations2
Published2023
Admission routes1
Has abstractyes

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