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Record W4389515826 · doi:10.48550/arxiv.2312.04199

TESS Cycle 2 observations of roAp stars with 2-min cadence data

2023· preprint· en· W4389515826 on OpenAlexfundno aff
Daniel L. Holdsworth, M. S. Cunha, Mariel Lares-Martiz, D. W. Kurtz, V. Antoci, S. Barceló Forteza, P. De Cat, A. Derekas, Cenk Kayhan, D. Özuyar, M. Skarka, Daniel Hey, Fangfei Shi, D. M. Bowman, Oleh Kobzar, A. Ayala Gómez, Zs. Bognár, Derek L. Buzasi, M. Ebadi, L. Fox Machado, Antonio García Hernández, Habib Ghasemi, Joyce Ann Guzik, R. Handberg, G. Handler, A. Hasanzadeh, R. Jayaraman, V. Khalack, O. Kochukhov, Catherine Lovekin, P. Mikołajczyk, D. E. Mkrtichian, Simon J. Murphy, E. Niemczura, B. G. Olafsson, J. Pascual-Granado, E. Paunzen, N. Posiłek, Aroosha Safari, A. Samadi-Ghadim, B. Smalley, Á. Sódor, И. Статева, J. C. Suárez, R. Szabó, Tao Wu, Elham Ziaali, Weikai Zong, S. Seager

Bibliographic record

VenueUniversity of Southern Queensland ePrints (University of Southern Queensland) · 2023
Typepreprint
Languageen
FieldPhysics and Astronomy
TopicStellar, planetary, and galactic studies
Canadian institutionsnot available
FundersNational Astronomical Observatories, Chinese Academy of SciencesEngineering and Physical Sciences Research CouncilNatural Sciences and Engineering Research Council of CanadaInstituto de Astrofísica de CanariasVlaamse regeringNemzeti Kutatási Fejlesztési és Innovációs HivatalNational Development and Reform CommissionEötvös Loránd TudományegyetemYouth Innovation Promotion AssociationYouth Innovation Promotion Association of the Chinese Academy of SciencesScience and Technology Facilities CouncilAarhus UniversitetKU LeuvenNational Key Research and Development Program of ChinaMagyar Tudományos AkadémiaFundação para a Ciência e a TecnologiaUniversidad de GranadaChinese Academy of SciencesHORIZON EUROPE Framework ProgrammeNuclear Safety and Security CommissionIran National Science FoundationVetenskapsrådetNational Natural Science Foundation of ChinaNational Aeronautics and Space AdministrationStellar Astrophysics CentreDanmarks GrundforskningsfondMinistério da Ciência, Tecnologia e Ensino SuperiorNational Research FoundationFlorida Gulf Coast UniversityEuropean CommissionNational Science FoundationUK Research and InnovationAgencia Estatal de InvestigaciónScience Mission DirectorateGovernment of the United KingdomEuropean Space AgencyMitacsFonds De La Recherche Scientifique - FNRSMinisterio de Ciencia, Innovación y UniversidadesMasarykova UniverzitaFonds Wetenschappelijk OnderzoekVillum Fonden
KeywordsStarsPhysicsInstability stripT Tauri starK-type main-sequence starAstrophysicsHomogeneousAstronomy

Abstract

fetched live from OpenAlex

ABSTRACT We present the results of a systematic search for new rapidly oscillating Ap (roAp) stars using the 2-min cadence data collected by the Transiting Exoplanet Survey Satellite (TESS) during its Cycle 1 observations. We identify 12 new roAp stars. Amongst these stars we discover the roAp star with the longest pulsation period, another with the shortest rotation period, and six with multiperiodic variability. In addition to these new roAp stars, we present an analysis of 44 known roAp stars observed by TESS during Cycle 1, providing the first high-precision and homogeneous sample of a significant fraction of the known roAp stars. The TESS observations have shown that almost 60 per cent (33) of our sample of stars are multiperiodic, providing excellent cases to test models of roAp pulsations, and from which the most rewarding asteroseismic results can be gleaned. We report four cases of the occurrence of rotationally split frequency multiplets that imply different mode geometries for the same degree modes in the same star. This provides a conundrum in applying the oblique pulsator model to the roAp stars. Finally, we report the discovery of non-linear mode interactions in α Cir (TIC 402546736, HD 128898) around the harmonic of the principal mode – this is only the second case of such a phenomenon.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.042
GPT teacher head0.212
Teacher spread0.170 · 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

Citations1
Published2023
Admission routes1
Has abstractyes

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