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Record W4415090297 · doi:10.48550/arxiv.2509.10387

The large-scale kinematics of young stars in the Milky Way disc: first results from SDSS-V

2025· preprint· en· W4415090297 on OpenAlexfundno aff
Eleonora Zari, Marina Kounkel, Hans‐Walter Rix, Neige Frankel, A. Tkachenko, Sergey Khoperskov, Elena D’Onghia, Alexandre Roman–Lopes, C. Román-Zúñiga, Guy S. Stringfellow, Jonathan C. Tan, Aida Wofford, Dmitry Bizyaev, John Donor, José G. Fernández-Trincado, Sean J. Morrison, Kaike Pan, S. F. Sánchez, Andrew K. Saydjari

Bibliographic record

VenuearXiv (Cornell University) · 2025
Typepreprint
Languageen
FieldPhysics and Astronomy
TopicAstronomy and Astrophysical Research
Canadian institutionsnot available
FundersLeibniz-GemeinschaftUniversity of Colorado BoulderNational Astronomical Observatories, Chinese Academy of SciencesUniversity of Illinois at Urbana-ChampaignMax-Planck-Institut für AstronomieVlaamse regeringNew Mexico State UniversityNanjing UniversityYale UniversityUniversity of TorontoLeibniz-Institut für Astrophysik PotsdamFonds Wetenschappelijk OnderzoekNational Science FoundationYunnan UniversityBelgian Federal Science Policy OfficeÉcole Polytechnique Fédérale de LausanneSpace Telescope Science InstituteUniversidad Nacional Autónoma de MéxicoAlfred P. Sloan FoundationEuropean Space AgencyJohns Hopkins UniversityHarvard UniversityChina National Textile and Apparel CouncilCalifornia Institute of TechnologyOhio State UniversityCarnegie Institution of WashingtonSmithsonian Astrophysical ObservatoryFlatiron HealthSmithsonian Institution
KeywordsStarsRadial velocityMilky WayGalactic planeKinematicsSkySpiral galaxyAmplitude

Abstract

We present a first large-scale kinematic map of $\sim$50,000 young OB stars ($T_{\rm eff} \geq 10,000$ K), based on BOSS spectroscopy from the Milky Way Mapper OB program in the ongoing Sloan Digital Sky Survey V (SDSS-V). Using photogeometric distances, line-of-sight velocities and Gaia DR3 proper motions, we map 3D Galactocentric velocities across the Galactic plane to $\sim$5 kpc from the Sun, with a focus on radial motions ($v_R$). Our results reveal mean radial motion with amplitudes of $\pm 30$ km/s that are coherent on kiloparsec scales, alternating between inward and outward motions. These $\bar{v}_R$ amplitudes are considerably higher than those observed for older, red giant populations. These kinematic patterns show only a weak correlation with spiral arm over-densities. Age estimates, derived from MIST isochrones, indicate that 85% of the sample is younger than $\sim300$ Myr and that the youngest stars ($\le 30$ Myr) align well with density enhancements. The age-dependent $\bar{v}_R$ in Auriga makes it plausible that younger stars exhibits different velocity variations than older giants. The origin of the radial velocity features remains uncertain, and may result from a combination of factors, including spiral arm dynamics, the Galactic bar, resonant interactions, or phase mixing following a perturbation. The present analysis is based on approximately one-third of the full target sample. The completed survey will enable a more comprehensive investigation of these features and a detailed dynamical interpretation.

Stored with the screening record, where it is evidence for the labels above.

How this classification was reachedexpand

The three-model screen

all 5,600 screened works →

All three models called this out of scope.

stratum: fund_new · design weight: 1678.90 (the sample is stratified; any rate computed without the weight is wrong)
Claude Opus 4.8OUT
genre: empirical
about Canada: no
confidence: high

SDSS-V kinematic mapping of young OB stars in the Milky Way disc; the object is Galactic dynamics.

GPT-5.6 (high)OUT
genre: empirical
about Canada: no
confidence: high

This astronomical survey analyzes stellar kinematics in the Milky Way, not research itself.

Grok 4.5OUT
genre: empirical
about Canada: no
confidence: high

Galactic astronomy of young-star kinematics from SDSS-V; domain astrophysics.

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 score0.009
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
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 head0.034
GPT teacher head0.210
Teacher spread0.176 · 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
Published2025
Admission routes1
Has abstractyes

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