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Record W4410580671 · doi:10.1051/0004-6361/202554169

Investigating the period-luminosity relations of <i>δ</i> Scuti stars: A pathway to distance and 3D dust map inference

2025· article· en· W4410580671 on OpenAlexfundno aff
J. S. Bloom, Xiaofeng Wang, Liyang Chen, Jie Lin, Xiaodian Chen, Jun Mo, Jicheng Zhang, Shengyu Yan, Qichun Liu, Haowei Peng, Xiaojun Jiang, Xiaoran Ma, Danfeng Xiang, Wenxiong Li

Bibliographic record

VenueAstronomy and Astrophysics · 2025
Typearticle
Languageen
FieldPhysics and Astronomy
TopicStellar, planetary, and galactic studies
Canadian institutionsnot available
FundersFundamental Research Funds for the Central UniversitiesNational Astronomical Observatories, Chinese Academy of SciencesUniversity of California, Los AngelesJet Propulsion LaboratorySmithsonian Astrophysical ObservatoryMax-Planck-Institut für AstronomieQueen's UniversityChinese Academy of SciencesPlanetary Science DivisionScience Mission DirectorateSmithsonian InstitutionNational Natural Science Foundation of ChinaSpace Telescope Science InstituteLos Alamos National LaboratoryEuropean Space AgencyJohns Hopkins UniversityGordon and Betty Moore FoundationQueen's University BelfastNational Science FoundationNational Aeronautics and Space AdministrationEötvös Loránd TudományegyetemCalifornia Institute of TechnologyNational Central UniversityDurham University
KeywordsPhysicsAstrophysicsStarsCepheid variableLuminosityAstronomyPeriod (music)InferenceGalaxyArtificial intelligence

Abstract

fetched live from OpenAlex

Context. While δ Scuti stars – intermediate-mass stars pulsating with periods of < 0.3 d – are the most numerous class of κ-mechanism pulsators in the instability strip, the short periods and small peak-to-peak amplitudes have left them understudied and under-utilized. Recently, large-scale time-domain surveys have significantly increased the number of identified δ Scuti stars, enabling more comprehensive investigations into their properties. Notably, the Tsinghua University–Ma Huateng Telescopes for Survey (TMTS), with its high-cadence observations at 1-minute intervals, has identified thousands of δ Scuti stars, greatly expanding the sample of these short-period pulsating variables. Aims. This study makes use of multiband photometric time-series data to refine the period–luminosity (P − L) relations of δ Scuti stars and show how observed P − L relations can be used to simultaneously infer dust obscuration and distance. Using spectroscopy, we also study the dependence of the P − L relations on metallicity. Methods. Using the δ Scuti stars from the TMTS catalogs of Periodic Variable Stars, we cross-matched the dataset with Pan-STARRS1, 2MASS, and WISE to obtain photometric measurements across optical (g, r, i, z, and y), near-infrared (J, H, and Ks), and mid-infrared (W1, W2, and W3) bands, respectively. Parallax data, used as Bayesian priors, were retrieved from Gaia DR3, and line-of-sight dust extinction priors were estimated from a 3D dust map. Using PyMC, we performed a simultaneous determination of the 11-band P − L relations of δ Scuti stars. Results. The simultaneous determination of multiband P − L relations of δ Scuti stars not only yields precise measurements of these relations, but also greatly improves constraints on the distance moduli and color excesses, as evidenced by the reduced uncertainties in the posterior distributions. Furthermore, our methodology enables an independent estimation of the color excess through the P − L relations, offering a potential complement to existing 3D dust maps. Moreover, by cross-matching with LAMOST DR7, we investigated the influence of metallicity on the P − L relations. Our analysis reveals that incorporating metallicity might reduce the intrinsic scatter at longer wavelengths. However, this result does not achieve 3σ significance, leaving open the possibility that the observed reduction is attributable to statistical fluctuations. Conclusions. We introduce an innovative approach to studying the P − L relations of δ Scuti stars, facilitating more comprehensive investigations into their utility as distance indicators and their significance in understanding stellar evolution. Our extensible methodology also enables the inference of dust extinction using pulsating stars beyond δ Scuti stars. Although the inclusion of metallicity in the P − L relations appears to reduce intrinsic scatter at longer wavelengths, further analysis is required to fully understand the impact of metal abundances on the properties of δ Scuti stars.

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)0.002
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 score0.005
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0040.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.009
GPT teacher head0.213
Teacher spread0.204 · 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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