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Record W7098096696

ESPaDOnS: An Echelle SpectroPolarimetric Device for the Observation of Stars at CFHT

2001· article· en· W7098096696 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAstronomy and Astrophysical Research
Canadian institutionsnot available
Fundersnot available
KeywordsCassegrain reflectorSpectrographTelescopeStarsCalibrationPolarimetryPolarimeterMeasure (data warehouse)
DOInot available

Abstract

fetched live from OpenAlex

We present below an ongoing Franco-Canadian project for a new bright time instrument, a cross-dispersed 'echelle spectrograph/spectropolarimeter called ESPaDOnS, for general community use at the Canada-France-Hawaii Telescope (CFHT). The design specifications for this instrument are that it is to be able to obtain a complete optical spectrum (i.e. from 370 to 900 nm) in a single exposure, with a resolving power of about 50,000. If desired, ESPaDOnS will be able to measure all the polarisation components of the stellar light (circular and linear) with the same resolving power. The spectrograph will be bench-mounted and fed by a double optical fibre from a Cassegrain module containing all calibration facilities and the optional polarisation analyser, making it possible to have extremely good wavelength stability and minimal instrumental polarisation. ESPaDOnS should be a unique instrument worldwide in polarimetric mode, competitive with similar instruments on 8 m class telescopes in non-...

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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.013
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0130.004

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 head0.049
GPT teacher head0.323
Teacher spread0.274 · 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 designBench or experimental
Domainnot available
GenreMethods

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
Published2001
Admission routes1
Has abstractyes

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