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New spectroscopic surveys offer the promise of consistent stellar parameters and abundances ('stellar labels') for hundreds of thousands of stars in the Milky Way: this poses a formidable spectral modeling challenge. In many cases, there is…

Solar and Stellar Astrophysics · Physics 2015-09-01 Melissa Ness , David W. Hogg , Hans-Walter Rix , Anna Y. Q. Ho , Gail Zasowski

Determining the level of chemical homogeneity in open clusters is of fundamental importance in the study of the evolution of star-forming clouds and that of the Galactic disk. Yet limiting the initial abundance spread in clusters has been…

Astrophysics of Galaxies · Physics 2016-02-11 Jo Bovy

Red giant stars are perhaps the most important type of stars for Galactic and extra-galactic archaeology: they are luminous, occur in all stellar populations, and their surface temperatures allow precise abundance determinations for many…

The GALAH survey is a large high-resolution spectroscopic survey using the newly commissioned HERMES spectrograph on the Anglo-Australian Telescope. The HERMES spectrograph provides high-resolution (R ~28,000) spectra in four passbands for…

Achieving high accuracy and precision in stellar parameter and chemical composition determinations is challenging in massive star spectroscopy. On one hand, the target selection for an unbiased sample build-up is complicated by several…

Solar and Stellar Astrophysics · Physics 2017-11-15 Maria-Fernanda Nieva , Norbert Przybilla

Gaia measures the five astrometric parameters for stars in the Milky Way, but only four of them (positions and proper motion, but not parallax) are well measured beyond a few kpc from the Sun. Modern spectroscopic surveys such as APOGEE…

Astrophysics of Galaxies · Physics 2019-08-21 Henry W. Leung , Jo Bovy

Large-scale and deep sky survey missions are rapidly collecting a large amount of stellar spectra, which necessitate the estimation of atmospheric parameters directly from spectra and makes it feasible to statistically investigate latent…

Solar and Stellar Astrophysics · Physics 2015-04-13 Xiangru Li , Q. M. Jonathan Wu , Ali Luo , Yongheng Zhao , Yu Lu , Fang Zuo , Tan Yang , Yongjun Wang

We derive distances and masses of stars from the Sloan Digital Sky Survey (SDSS) Apache Point Observatory Galactic Evolution Experiment (APOGEE) Data Release 17 (DR17) using simple neural networks. Training data for distances comes from…

Solar and Stellar Astrophysics · Physics 2025-05-29 Alexander Stone-Martinez , Jon A. Holtzman , Julie Imig , Christian Nitschelm , Keivan G. Stassun , Joel R. Brownstein

Self-supervised learning has become a central strategy for representation learning, but the majority of architectures used for encoding data have only been validated on regularly-sampled inputs such as images, audios. and videos. In many…

Machine Learning · Statistics 2025-10-24 Yunyi Shen , Alexander Gagliano

Precise spectroscopic classification of planet hosts is an important tool of exoplanet research at both the population and individual system level. In the era of large-scale surveys, data-driven methods offer an efficient approach to…

Solar and Stellar Astrophysics · Physics 2024-10-08 Isabel Angelo , Megan Bedell , Erik Petigura , Melissa Ness

The overlap between the spectroscopic Galactic Archaeology with HERMES (GALAH) survey & $Gaia$ provides a high-dimensional chemodynamical space of unprecedented size. We present a first analysis of a subset of this overlap, of 7066 dwarf,…

The compositions of stars are a critical diagnostic tool for many topics in astronomy such as the evolution of our Galaxy, the formation of planets, and the uniqueness of the Sun. Previous spectroscopic measurements indicate a large…

Galaxy physical properties-such as star formation rate (SFR), stellar mass, and gas-phase metallicity-are essential for population studies and evolutionary analyses. Deriving these quantities for billions of galaxies in modern imaging…

Astrophysics of Galaxies · Physics 2026-05-20 Shirui Wei , Changhua Li , Yanxia Zhang , Chenzhou Cui , Jinghang Shi , Wujun Shao , Zihan Kang , Yongheng Zhao , Maoyuan Huang

The Sloan Digital Sky Survey--III (SDSS--III) Apache Point Observatory Galactic Evolution Experiment (APOGEE) has obtained high resolution (R $\sim$ 22,500), high signal-to-noise ratio ($>$ 100) spectra in the H$-$band ($\sim$1.5$-$1.7…

We proposed a machine learning approach to identify and distinguish dusty stellar sources employing supervised and unsupervised methods and categorizing point sources, mainly evolved stars, using photometric and spectroscopic data collected…

Context. The APOGEE survey has obtained high-resolution infrared spectra of more than 100,000 stars. Deriving chemical abundances patterns of these stars is paramount to piecing together the structure of the Milky Way. While the derived…

Astrophysics of Galaxies · Physics 2016-10-12 Keith Hawkins , Thomas Masseron , Paula Jofre , Gerry Gilmore , Yvonne Elsworth , Saskia Hekker

We present a unified framework to derive fundamental stellar parameters by combining all available observational and theoretical information for a star. The algorithm relies on the method of Bayesian inference, which for the first time…

Solar and Stellar Astrophysics · Physics 2015-06-18 Ralph Schönrich , Maria Bergemann

The Galactic Archaeology with HERMES (GALAH) Survey is a massive observational project to trace the Milky Way's history of star formation, chemical enrichment, stellar migration and minor mergers. Using high-resolution (R$\simeq$28,000)…

Information on the spectral types of stars is of great interest in view of the exploitation of space-based imaging surveys. In this article, we investigate the classification of stars into spectral types using only the shape of their…

Instrumentation and Methods for Astrophysics · Physics 2016-06-15 T. Kuntzer , M. Tewes , F. Courbin

We develop a data-driven model to map stellar parameters (effective temperature, surface gravity and metallicity) accurately and precisely to broad-band stellar photometry. This model must, and does, simultaneously constrain the…

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