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Record W1577378853 · doi:10.71781/16784

Perte de masse des étoiles chaudes : polarisation et haute résolution angulaire

2001· preprint· fr· W1577378853 on OpenAlexaboutno aff
O. Chesneau

Bibliographic record

VenueOpenGrey (Institut de l'Information Scientifique et Technique) · 2001
Typepreprint
Languagefr
FieldPhysics and Astronomy
TopicStellar, planetary, and galactic studies
Canadian institutionsnot available
Fundersnot available
KeywordsPhysicsHumanitiesArt

Abstract

fetched live from OpenAlex

Massive stars represent a crucial stellar class for the galactic environment evolution. In spite of their low number, their large mass loss rate during all the stages of their rapid evolution and the subsequent energy injection have a deep impact on the interstellar medium, even at long distances. The origin of this mass loss is closely related to their intense radiation, which generates a fast and sometimes dense wind. Recent instrumental progress revealed the deeply inhomogeneous and variable behaviour of these winds, exhibiting stochastic and even periodic phenomena,. This implies the existence of competing phenomena able to modify and modulate the radiative wind, namely the stellar rotation, the presence of non-radial pulsations (NRP) or magnetic fields. This thesis results from a collaboration between the astrophysics group of the Université de Montréal and the long baseline interferometry group of the Observatoire de la Côte d'Azur. I first present the problem of instabilities exhibited by LBVs (Luminous Blue Variables) with the study of the emblematic star P Cygni. After having developed the context of its eruptive manifestation from an observational point of view, I present the results of observations carried out with an experimental adaptive optics operating in the visible at the Observatoire de Haute-Provence (OHP). Then I study the problems of the periodic features detected in O stars and certain WR stars in order to detect magnetic fields. This study is based on observations carried out with the spectropolarimeter CASPEC of the 3.6m telescope of La Silla (ESO/Chili). I finally describe the prospective work undertaken on an interferometric technique using polarimetry called SPIN (Spectro-Polarimetric INterferometry). The use of SPIN can bring a complementary information simultaneously locating and quantifying the mass loss close to the star. I stress particularly on the detection and the characterization of magnetic fields using the SPIN technique in circular polarization

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)0.003
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 score0.014
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0000.001
Scholarly communication0.0030.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.003

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 head0.024
GPT teacher head0.270
Teacher spread0.246 · 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

Citations0
Published2001
Admission routes1
Has abstractyes

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