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Record W2047061498 · doi:10.1086/499928

Precise Spectroscopic Radial Velocity Measurements Using Telluric Lines

2006· article· en· W2047061498 on OpenAlexaff
David F. Gray, Kevin I. T. Brown

Bibliographic record

VenuePublications of the Astronomical Society of the Pacific · 2006
Typearticle
Languageen
FieldPhysics and Astronomy
TopicStellar, planetary, and galactic studies
Canadian institutionsWestern University
Fundersnot available
KeywordsRadial velocitySpectrographPhysicsLine (geometry)Spectral lineOpticsAbsorption (acoustics)WavelengthRefractionRefractive indexAbsorption spectroscopyAstrophysicsAstronomyStars

Abstract

fetched live from OpenAlex

Telluric absorption inside our coudé spectrograph is used as a reference spectrum for precise radial velocity measurement. The optical path for this telluric absorption is stable and is not compromised by atmospheric disturbances, such as the jet stream. As an added bonus, the telluric fiducial spectrum is free; i.e., one does not need to construct, regulate, maintain, or suffer throughput losses from a captive‐gas absorption cell. The telluric and stellar spectra span the same portion of the detector and are observed sequentially, but in different diffraction orders. In this way the stellar line profiles are not contaminated by the telluric spectrum and can therefore be used for normal astrophysical line profile analyses, as well as radial velocity studies. However, precise measurements of the temperature and pressure are needed for differential corrections between orders, because the index of refraction of the air in the spectrograph is wavelength dependent. Precision in radial velocity of ∼25 m s −1 is demonstrated.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.002

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 head0.027
GPT teacher head0.236
Teacher spread0.209 · 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 designSimulation or modeling
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

Citations60
Published2006
Admission routes1
Has abstractyes

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