Machine Learning Applied to Star–Galaxy–QSO Classification and Stellar Effective Temperature Regression [PDF]
In modern astrophysics, machine learning has increasingly gained popularity with its incredibly powerful ability to make predictions or calculated suggestions for large amounts of data.
Y. Bai+3 more
semanticscholar +1 more source
The AMBRE project: Results from the MATISSE analysis of the ESO-FEROS archived spectra
The goal of AMBRE, a joint project between ESO and the Observatoire de la Cote d’Azur, is to provide a homogeneous determination of the stellar parameters (including mean metallicity and some chemical abundances) for the archived spectra of the FEROS ...
Hill V.+4 more
doaj +1 more source
A Population of Dipper Stars from the Transiting Exoplanet Survey Satellite Mission
Dipper stars are a classification of young stellar objects that exhibit dimming variability in their light curves, dropping in brightness by 10%–50%, likely induced by occultations due to circumstellar disk material.
Benjamin K. Capistrant+14 more
doaj +1 more source
Effects of Stellar Rotation on Spectral Classification [PDF]
AbstractStellar rotation may affect the strengths of lines used in spectral classification because of effects of plate resolution and also because of physical changes in the rotating stellar atmospheres. In the first case, the importance of using standard stars with appropriate rotational line broadening in classifying spectra of relatively high ...
A. Slettebak, T. J. Kusma
openaire +2 more sources
A White Dwarf Search Model Based on a Deep Transfer-learning Method
White dwarfs represent the ultimate stage of evolution for over 97% of stars and play a crucial role in studies of the Milky Way’s structure and evolution.
Lei Tan+5 more
doaj +1 more source
Statistical relations between stellar spectral and luminosity classes and stellar effective temperature and surface gravity [PDF]
We have determined new statistical relations to estimate the fundamental atmospheric parameters of effective temperature and surface gravity, using MK spectral classification, and vice versa. The relations were constructed based on the published calibration tables (for main sequence stars) and observational data from stellar spectral atlases (for ...
arxiv +1 more source
Supervised Ensemble Classification of Kepler Variable Stars [PDF]
Variable star analysis and classification is an important task in the understanding of stellar features and processes. While historically classifications have been done manually by highly skilled experts, the recent and rapid expansion in the quantity and quality of data has demanded new techniques, most notably automatic classification through ...
arxiv +1 more source
A rocky exoplanet classification method and its application to calculating surface pressure and surface temperature [PDF]
With over 5,000 exoplanets currently detected, there is a need for a primary classification method to prioritise candidates for biosignature observations. Here, we develop a classification method to categorise rocky exoplanets based on their closest solar system analogue using available data of observed stellar and planetary features, masses, and radii,
arxiv +1 more source
THE SAMI GALAXY SURVEY: REVISITING GALAXY CLASSIFICATION THROUGH HIGH-ORDER STELLAR KINEMATICS [PDF]
Recent cosmological hydrodynamical simulations suggest that integral field spectroscopy can connect the high-order stellar kinematic moments h3 (∼skewness) and h4 (∼kurtosis) in galaxies to their cosmological assembly history.
J. V. D. Sande+39 more
semanticscholar +1 more source
Spectral Classification; Old and Contemporary [PDF]
Beginning with a historical account of the spectral classification, its refinement through additional criteria is presented. The line strengths and ratios used in two dimensional classifications of each spectral class are described. A parallel classification scheme for metal-poor stars and the standards used for classification are presented.
arxiv +1 more source