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Record W4413417894 · doi:10.1093/mnras/staf1115

Towards understanding the Milky Way’s typicality: assessing the chemodynamics of M31’s bulge and bar, thick and thin discs

2025· article· en· W4413417894 on OpenAlexfundno aff
Benjamin J. Gibson, Gail Zasowski, Anil C. Seth, Dimitri A. Gadotti, Z. Wang, Dmitry Bizyaev, Steven R. Majewski, Jon A. Holtzman, Sanjib Sharma

Bibliographic record

VenueMonthly Notices of the Royal Astronomical Society · 2025
Typearticle
Languageen
FieldPhysics and Astronomy
TopicStellar, planetary, and galactic studies
Canadian institutionsnot available
FundersLawrence Berkeley National LaboratorySmithsonian Astrophysical ObservatoryScience and Technology Facilities CouncilUniversity of Colorado BoulderJet Propulsion LaboratoryInstituto de Astrofísica de CanariasOffice of ScienceMax-Planck-Institut für AstronomieMax-Planck-Institut für AstrophysikUniversity of OxfordYork UniversityUniversidad Nacional Autónoma de MéxicoSpace Telescope Science InstituteLeibniz-GemeinschaftUniversity of Notre DameCarnegie Mellon UniversityOhio State UniversityUniversity of TokyoUniversity of WashingtonAlfred P. Sloan FoundationJohns Hopkins UniversityUniversity of UtahCarnegie Institution of WashingtonSmithsonian InstitutionU.S. Department of EnergyCalifornia Institute of TechnologyMinistério da Ciência, Tecnologia e InovaçãoNational Aeronautics and Space AdministrationNew Mexico State UniversityUniversity of California, Los AngelesUniversity of PortsmouthVanderbilt UniversityYale UniversityNational Science Foundation
KeywordsBulgePhysicsAstrophysicsMilky WayVelocity dispersionMetallicitySpectral lineGalaxyGalaxy rotation curveBar (unit)AstronomyGalaxy formation and evolution

Abstract

ABSTRACT We describe a novel framework to model galaxy spectra with two cospatial stellar populations, such as may represent a bulge and bar or thick and thin disc, and apply it to APOGEE spectra in the inner $\sim$2 kpc of M31, as well as to stacked spectra representative of the northern and southern parts of M31’s disc ($R\sim 4\!-\!7$ kpc). We use a new unWISE-based photometric decomposition of M31 that includes a Sérsic bulge, bar, and exponential disc. This informs our full-spectrum fitting with A-LIST spectral templates to derive the radial velocity, velocity dispersion, metallicity, and $\alpha$ abundance for both components in each spectrum. In the bulge, one component exhibits little net rotation, high velocity dispersion ($\sim$170 km s$^{-1}$), an average [M/H] = 0.07, and average [$\alpha$/M] = 0.29, while the second component shows structured rotation, lower velocity dispersion ($\sim$121 km s$^{-1}$), and similar average abundances. We also constrain the abundance gradients for each of these components. We tentatively associate the first component with the classical bulge and the second with the bar. In the north disc we identify two distinct components: the first with hotter kinematics, lower metallicity, and higher $\alpha$ abundance than the second ([M/H] = 0.1 and 0.39, [$\alpha$/M] = 0.29 and 0.07). These discs appear comparable to the Milky Way’s ‘thick’ and ‘thin’ discs, providing the first evidence that M31’s inner disc has a similar chemodynamical structure. Such multipopulation analysis is crucial to constrain galaxy evolution models that strive to recreate the complex stellar populations found in the Milky Way.

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

Chemodynamic modelling of M31's stellar populations; domain astrophysics.

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

This astronomy study models stellar populations in Andromeda, not research.

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

Astrophysics modelling of M31 stellar populations and galactic structure.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.008
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0020.001
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 head0.015
GPT teacher head0.238
Teacher spread0.223 · 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
Published2025
Admission routes1
Has abstractyes

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