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Record W4391988048 · doi:10.48550/arxiv.2402.12081

Spectroscopy of a Sample of Unidentified Gamma-ray Fermi Sources

2024· preprint· en· W4391988048 on OpenAlexfundno aff
Alberto Ulgiati, S. Paiano, A. Treves, R. Falomo, B. Sbarufatti, Fabio Pintore, T. D. Russell, G. Cusumano

Bibliographic record

VenuearXiv (Cornell University) · 2024
Typepreprint
Languageen
FieldPhysics and Astronomy
TopicNuclear Physics and Applications
Canadian institutionsnot available
FundersLawrence Berkeley National LaboratoryBrookhaven National LaboratoryPlanetary Science DivisionSmithsonian Astrophysical ObservatoryOffice of ScienceMax-Planck-Institut für AstronomieEötvös Loránd TudományegyetemGordon and Betty Moore FoundationQueen's University BelfastDurham UniversityYork UniversitySpace Telescope Science InstituteCarnegie Mellon UniversityLos Alamos National LaboratoryCollege of Engineering, Michigan State UniversityUniversity of WashingtonPrinceton UniversityAlfred P. Sloan FoundationJohns Hopkins UniversityHarvard UniversityQueen's UniversityUniversity of LeicesterOhio State UniversityU.S. Department of EnergySmithsonian InstitutionNational Aeronautics and Space AdministrationNational Central UniversityNew Mexico State UniversityUniversity of PortsmouthVanderbilt UniversityScience Mission DirectorateYale UniversityNational Science Foundation
KeywordsFermi Gamma-ray Space TelescopeSample (material)SpectroscopyGamma rayGamma spectroscopyMaterials sciencePhysicsAnalytical Chemistry (journal)AstrophysicsChemistryAstronomyEnvironmental chemistry

Abstract

fetched live from OpenAlex

The fourth-DR3 version (4FGL-DR3) of the Fermi/LAT catalogue of $γ$-ray sources contains $\sim$ 1000 objects at a galactic latitude |b| > 10$^{\circ}$ which are not identified with an optical counterpart (UGS). We performed a systematic study of these sources, focusing on 190 objects that have a unique X-ray counterpart in the available Swift/XRT observations. Optical counterparts are then selected, and for 33 sources optical spectra were found in the literature. We found that 21 can be classified as BL Lac objects. Among these we were able to provide the redshift for 8 of them while for 2 others we established a lower limit to the redshift by detecting intervening absorption. The other 12 objects display optical spectra with prominent emission lines (0.036

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.901

Codex and Gemma teacher scores by category

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

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 head0.039
GPT teacher head0.199
Teacher spread0.160 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations0
Published2024
Admission routes1
Has abstractyes

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