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Record W6931662913 · doi:10.5281/zenodo.7444181

Velocity Kinks: Reliable Signposts of Planets in Disks?

2022· article· en· W6931662913 on OpenAlexaff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicTransgenic Plants and Applications
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsPlanetKinematicsSpiral (railway)ObservableSpiral galaxyRadial velocityWork (physics)

Abstract

fetched live from OpenAlex

The velocity “kink” kinematic signature has gained standing as a promising method for discovering embedded planets. The gravitational influence of a planetary perturber is predicted to drive spiral wakes that disturb the surrounding gas velocity, generating distinct “kinks” along the spiral arms observable in velocity channel maps of gas emission. To date, a dozen velocity kink detections have been reported in ALMA observations of disks, and most have pinpointed the candidate planets within gaps in the ALMA dust continuum.<br> The understanding that velocity kinks are due to spiral arms enables us to make a robust, testable prediction: Every instance of velocity kinks should be concurrent with spiral density waves. In this talk, I describe the results from our search for the spirals driven by the kink planets in the ALMA dust continuum. Our work provides an independent method to verify the existence of these planet candidates, and more importantly, tests the validity of velocity kinks as a reliable signpost of planets in disks.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.829
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.020
GPT teacher head0.232
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 teacher head, not a consensus.

Study designNot applicable
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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