The Stellar Abundances and Galactic Evolution Survey (SAGES). IV. Surface Gravity Estimation and Giant-Dwarf Separation with the DDO51 Filter
arXiv:2509.15112 · doi:10.3847/1538-4357/ae060c
Abstract
Reliable estimation of stellar surface gravity (log ) for a large sample is crucial for evaluating stellar evolution models and understanding galactic structure; However, it is not easy to accomplish due to the difficulty in gathering a large spectroscopic data set. Photometric sky survey using a specific filter, on the other hand, can play a substantial role in the assessment of log . The Stellar Abundances and Galactic Evolution Survey (SAGES) utilizes eight filters to provide accurate stellar parameters for stars, with its DDO51 intermediate-band filter specifically designed for robust log determination. In this work, the observed SAGES and photometry, the synthetic photometry in , , , and DDO51 bands derived from \textit{Gaia} XP spectra are employed to investigate the importance of the DDO51 filter in the determination of log . We applied machine-learning-based extinction correction and employed XGBoost models, trained on stellar parameters from LAMOST, to predict log using photometric data. By comparing model predicted log with LAMOST values, we find that including DDO51 filter improve the accuracies of log estimates by 21.0\% (from 0.224\,dex to 0.177\,dex) overall, and by 26.5\% (from 0.302\,dex to 0.222\,dex ) for GK-type stars, as compared to those obtained without DDO51. The DDO51 filter is also validated to be particularly effective for metal-poor stars ([Fe/H]-1.0), where it significantly mitigates systematic biases. Our findings highlight the diagnostic power of the SAGES DDO51 filter, providing enhanced stellar characterization vital for future in-depth studies of the Milky Way.
22 pages, 13 figures. Accepted for publication in ApJ
References in corpus (25)
- XGBoost: A Scalable Tree Boosting System
- Measuring Reddening with SDSS Stellar Spectra and Recalibrating SFD
- Gaia Data Release 3: Summary of the content and survey properties
- The Apache Point Observatory Galactic Evolution Experiment (APOGEE)
- A 3D Dust Map Based on Gaia, Pan-STARRS 1 and 2MASS
- The Milky Way Tomography with SDSS: II. Stellar Metallicity
- Target Selection for the Apache Point Observatory Galactic Evolution Experiment (APOGEE)
- Empirical extinction coefficients for the GALEX, SDSS, 2MASS and WISE passbands
- Synthetic Stellar Photometry - I. General considerations and new transformations for broad-band systems
- Photo-astrometric distances, extinctions, and astrophysical parameters for Gaia EDR3 stars brighter than G=18.5
- Gaia Data Release 3: Processing and validation of BP/RP low-resolution spectral data
- Spectrophotometric Libraries, Revised Photonic Passbands and Zero-points for UBVRI, Hipparcos and Tycho Photometry
- Gaia Data Release 3: Analysis of the Gaia BP/RP spectra using the General Stellar Parameterizer from Photometry
- Gaia Data Release 3: External calibration of BP/RP low-resolution spectroscopic data
- Exploring Halo Substructure with Giant Stars: I. Survey Description and Calibration of the Photometric Search Technique
- Robust Data-driven Metallicities for 175 Million Stars from Gaia XP Spectra
- The Poor Old Heart of the Milky Way
- Mg line formation in late-type stellar atmospheres: I. The model atom
- Empirical temperature- and extinction-dependent extinction coefficients for the GALEX, Pan-STARRS1, Gaia, SDSS, 2MASS, and WISE passbands
- J-PLUS: Stellar Parameters, C, N, Mg, Ca and [α/Fe] Abundances for Two Million Stars from DR1
- Transferring spectroscopic stellar labels to 217 million Gaia DR3 XP stars with SHBoost
- The SAGE Photometric Sky Survey: Technical Description
- Stellar Parameters and Chemical Abundances Estimated from LAMOST-II DR8 MRS based on Cycle-StarNet
- Infrared colours and inferred masses of metal-poor giant stars in the Kepler field
- Mapping the Milky Way with Gaia Bp/Rp spectra I: Systematic flux corrections and atmospheric parameters for 68 million stars