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Accurate fundamental parameters for 23 bright solar-type stars

2010· article· en· W2095998286 on OpenAlexaff
H. Bruntt, T. R. Bedding, Pierre-Olivier Quirion, G. Lo Curto, F. Carrier, B. Smalley, T. H. Dall, T. Arentoft, M. Bazot, R. Paul Butler

Bibliographic record

VenueMonthly Notices of the Royal Astronomical Society · 2010
Typearticle
Languageen
FieldPhysics and Astronomy
TopicStellar, planetary, and galactic studies
Canadian institutionsCanadian Space Agency
FundersScience and Technology Facilities Council
KeywordsPhysicsAsteroseismologyStarsAstrophysicsEffective temperatureSurface gravityLuminositySpectroscopyMicroturbulenceRADIUSCalibrationSolar massAstronomyGalaxy

Abstract

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We combine results from interferometry, asteroseismology and spectroscopy to determine accurate fundamental parameters of 23 bright solar-type stars, from spectral type F5 to K2 and luminosity classes III-V.For some stars we can use direct techniques to determine the mass, radius, luminosity and effective temperature, and we compare with indirect methods that rely on photometric calibrations or spectroscopic analyses.We use the asteroseismic information available in the literature to infer an indirect mass with an accuracy of 4-15 per cent.From indirect methods we determine luminosity and radius to 3 per cent.We find evidence that the luminosity from the indirect method is slightly overestimated (≈5 per cent) for the coolest stars, indicating that their bolometric corrections (BCs) are too negative.For T eff we find a slight offset of -40 ± 20 K between the spectroscopic method and the direct method, meaning the spectroscopic temperatures are too high.From the spectroscopic analysis we determine the detailed chemical composition for 13 elements, including Li, C and O.The metallicity ranges from [Fe/H] = -1.7 to +0.4, and there is clear evidence for α-element enhancement in the metal-poor stars.We find no significant offset between the spectroscopic surface gravity and the value from combining asteroseismology with radius estimates.From the spectroscopy we also determine v sin i and we present a new calibration of macroturbulence and microturbulence.From the comparison between the results from the direct and spectroscopic methods we claim that we can determine T eff , log g and [Fe/H] with absolute accuracies of 80 K, 0.08 and 0.07 dex.Photometric calibrations of Strömgren indices provide accurate results for T eff and [Fe/H] but will be more uncertain for distant stars when interstellar reddening becomes important.The indirect methods are important to obtain reliable estimates of the fundamental parameters of relatively faint stars when interferometry cannot be used.This paper is the first to compare direct and indirect methods for a large sample of stars, and we conclude that indirect methods are valid, although slight corrections may be needed.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.013
GPT teacher head0.224
Teacher spread0.212 · 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

Citations234
Published2010
Admission routes1
Has abstractyes

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