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Transit and Radial Velocity Analysis of Exoplanets Around Stars Associated with Hot Jupiters

2022· article· en· W4311218999 on OpenAlexaff
Zhaoyu Huai, Liu Xicheng, Danfeng Ye, Yutong Ning, Mingyang Li

Bibliographic record

VenueJournal of Physics Conference Series · 2022
Typearticle
Languageen
FieldPhysics and Astronomy
TopicStellar, planetary, and galactic studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsHot JupiterExoplanetPhysicsPlanetStarsPlanetary systemTransit (satellite)AstronomyRadial velocityAstrophysicsGas giant

Abstract

fetched live from OpenAlex

Abstract Hot Jupiters are gas giant planets that have proximity to their host stars with very short orbital periods. The discovery of hot Jupiters challenges the previous hypothesis of planetary formation. To improve our knowledge of Hot Jupiters, this work further investigates over 50 stars surrounded by hot Jupiters by analyzing the updated transit data from the Transiting Exoplanet Survey Satellite (TESS), and the radial velocity data primarily from the Keck Telescope. With the limb darkening model and the eccentric orbit model, planetary parameters of the stars are updated. Furthermore, the evidence of wide orbiting planetary masses of some planetary systems is discovered in this paper. Further investigations could be done on the presence of the unseen and non-transiting masses to support the migration hypothesis of the formation of Hot Jupiters.

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)0.000
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 score0.004
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.017
GPT teacher head0.213
Teacher spread0.196 · 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
Published2022
Admission routes1
Has abstractyes

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