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Record W4396693907 · doi:10.22323/1.459.0015

Status of Boyden observatory and equipment for optical counterpart studies of high energy sources

2024· article· en· W4396693907 on OpenAlexaff
Emilio J. Fernández-García, A. J. Castro‐Tirado, A. Martín-Carrillo, A. Castellón, Perez del Pulgar, L. Hanlon

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPhysics and Astronomy
TopicGamma-ray bursts and supernovae
Canadian institutionsScience North
FundersAgencia Estatal de Investigación
KeywordsObservatoryTelescopePhotometerPhysicsPolarimeterTransient (computer programming)OpticsAstronomyComputer science

Abstract

fetched live from OpenAlex

The status of the Boyden observatory and equipment will be evaluated for use in optical counterpart studies of high energy sources. Optical systems include the 1.5~m Boyden telescope which has recently received system and equipment upgrades to the photometer, specifically a new sCMOS camera system. Additionally a state of the art spectro-polarimeter has been commissioned and is in final testing and initial observing phases. Besides the 1.5~m telescope, there is also robotic telescope systems, e.g. Watcher and BOOTES-6. Watcher, was primarily for follow-up of gamma ray bursts, but has also been used for optical counterpart and survey studies, and target-of-opportunity events. BOOTES-6, or Burst Observer and Optical Transient Exploring System, is a new telescope system that allows for much faster target acquisition for Gamma-ray bursts events, but is also available for optical studies of transient phenomena or optical counterpart studies. With these optical systems, various multi-wavelength studies and collaborative efforts are envisioned for the Observatory

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)0.010
metaresearch head score (Gemma)0.007
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 score0.028
Threshold uncertainty score0.094

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.004
Science and technology studies0.0030.001
Scholarly communication0.0040.005
Open science0.0040.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0280.008

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 head0.033
GPT teacher head0.284
Teacher spread0.252 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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