Table · dataset · 2025
SLAM-payne for hot stars in LAMOST
Listed in IVOA Registry (Virtual Observatory)
Early-type stars are key drivers of Galactic chemical evolution, enriching the interstellar medium with alpha elements through powerful stellar winds and core-collapse supernovae, fuelled by their short lifetimes and high masses.
Description
However, their spectra remain challenging to analyse due to rapid rotation, weak metal lines, and non-local thermodynamic equilibrium (NLTE) effects. While large spectroscopic surveys provide extensive low-resolution data, extracting reliable parameters remains difficult due to methodological limitations for hot stars.
Our goal is to develop a unified framework that combines data-driven and synthetic spectral approaches to determine atmospheric parameters and abundances for hot stars using low-resolution spectra, thereby addressing limitations in current methodologies while retaining critical spectral information. We present a hybrid approach integrating the Stellar LAbel Machine (SLAM) and the Payne frameworks, for low-resolution (R~1800) spectra from LAMOST DR9.
Read the rest (2 more)
Our method preserves full spectral information including Balmer series and metal-line blends, employing neural-network interpolation for efficient parameter estimation (Teff, logg, and v sin i) and abundance determination for O, Mg, Si, and Fe, across 8000K-20000K. We derive stellar parameters and abundances for 315822 stars with S/N~10 in the r-band. Among these, we identify 3564 blue horizontal branch candidates, over 90% of which align with stellar evolutionary models of horizontal branch stars.
Additionally, we detect abundance trends ([alpha/Fe]-[Fe/H]) that exhibit temperature-dependent systematics and a distinct alpha-poor stellar population within 0.0<=[Fe/H]<=0.5dex. The radial abundance gradients are negative and consistent with that derived from Cepheids, with a slope of -0.070+/-0.007 in [Fe/H] in the region 6<=R_GC_<=15kpc.
Links
Where it is published
- Reference page cdsarc.cds.unistra.fr/viz-bin/cat/J/A+A/698/A300 ↗
landing page · from IVOA Registry
Documentation and papers
- ADS 2025A&A...698A.300S ui.adsabs.harvard.edu/abs/2025A%26A...698A.300S ↗
publication · from IVOA Registry
Catalogue records · 2
- VOResource record dc.g-vo.org/oai.xml?verb=GetRecord&metadataPrefix=ivo_vor&identifier=ivo%3… ↗
metadata API · from IVOA Registry
- Registry record (GAVO) dc.g-vo.org/I/cds.vizier/j/a%2Ba/698/a300 ↗
catalogue entry · from IVOA Registry
Topics
- From keywords
- Astronomy & Astrophysics
Provenance · 1 source records, 7 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| IVOA Registry (Virtual Observatory) | ivo://cds.vizier/j/a+a/698/a300 | 13 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · IVOA Registry | connector:ivoa_registry@1.0.0 | |
| concepts[field].local:field:astronomy | mapping · IVOA Registry | connector:ivoa_registry@1.0.0 | |
| description | source · IVOA Registry | connector:ivoa_registry@1.0.0 | rr.resource.res_description |
| license_text | source · IVOA Registry | connector:ivoa_registry@1.0.0 | |
| publication_date | source · IVOA Registry | connector:ivoa_registry@1.0.0 | |
| title | source · IVOA Registry | connector:ivoa_registry@1.0.0 | rr.resource.res_title |
| updated_date | source · IVOA Registry | connector:ivoa_registry@1.0.0 |