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Record W2238473337 · doi:10.1093/pasj/psv099

Suzaku monitoring of the Wolf–Rayet binary WR 140 around periastron passage: An approach for quantifying the wind parameters

2015· article· en· W2238473337 on OpenAlexafffund

Bibliographic record

VenuePublications of the Astronomical Society of Japan · 2015
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAstrophysical Phenomena and Observations
Canadian institutionsUniversité de MontréalCentre for Research in Astrophysics of Québec
FundersAstrophysics Science DivisionFonds Québécois de la Recherche sur la Nature et les TechnologiesScience and Technology Facilities CouncilSmithsonian InstitutionNatural Sciences and Engineering Research Council of CanadaSmithsonian Astrophysical ObservatoryRoyal SocietyChuo UniversityAstrophysics DivisionJapan Society for the Promotion of ScienceNational Aeronautics and Space AdministrationMinistry of Education, Culture, Sports, Science and TechnologyGoddard Space Flight Center
KeywordsSpectral lineBinary numberFlux (metallurgy)PlasmaCollisionAbsorption (acoustics)Emission spectrumBinary star

Abstract

fetched live from OpenAlex

Abstract Suzaku observations of the Wolf–Rayet (W–R) binary WR 140 (WC7pd+O5.5fc) were made at four different times around periastron passage in 2009 January. The spectra changed in shape and flux with the phase. As periastron approached, the column density of the low-energy absorption increased, which indicates that the emission from the wind–wind collision plasma was absorbed by the dense W–R wind. The spectra can be mostly fitted with two different components: a warm component with kBT = 0.3–0.6 keV and a dominant hot component with kBT ∼ 3 keV. The emission measure of the dominant, hot component is not inversely proportional to the distance between the two stars. This can be explained by the O star wind colliding before it has reached its terminal velocity, leading to a reduction in its wind momentum flux. At phases closer to periastron, we discovered a cool plasma component in a recombining phase, which is less absorbed. This component may be a relic of the wind–wind collision plasma, which was cooled down by radiation, and may represent a transitional stage in dust formation.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.040
Threshold uncertainty score0.441

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.079
GPT teacher head0.285
Teacher spread0.205 · 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 teacher head, 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

Citations26
Published2015
Admission routes2
Has abstractyes

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