Results 41 to 50 of about 2,514,308 (344)

Stellar spectral classification and feature evaluation based on a random forest [PDF]

open access: yesResearch in Astronomy and Astrophysics, 2019
With the availability of multi-object spectrometers and the design and operation of some large scale sky surveys, the issue of how to deal with enormous quantities of spectral data efficiently and accurately is becoming more and more important. This work
Xiangru Li, Yang-Tao Lin, Kai-bin Qiu
semanticscholar   +1 more source

The embedded clusters DBS 77, 78, 102, and 160-161 and their link with the interstellar medium [PDF]

open access: yes, 2016
Aims. We report a study of the global properties of some embedded clusters placed in the fourth quadrant of the Milky Way to clarify some issues related with their location into the Galaxy and their stellar formation processes. Methods.
Alegría, S. Ramirez   +8 more
core   +3 more sources

The AMBRE project: Results from the MATISSE analysis of the ESO-FEROS archived spectra

open access: yesEPJ Web of Conferences, 2012
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

Deep Learning for Galaxy Mergers in the Galaxy Main Sequence [PDF]

open access: yes, 2019
Starburst galaxies are often found to be the result of galaxy mergers. As a result, galaxy mergers are often believed to lie above the galaxy main sequence: the tight correlation between stellar mass and star formation rate.
Pearson, William J.   +4 more
core   +3 more sources

Exploring the Morphology of RAVE Stellar Spectra [PDF]

open access: yes, 2012
The RAdial Velocity Experiment (RAVE) is a medium resolution R~7500 spectroscopic survey of the Milky Way which already obtained over half a million stellar spectra.
Bienayme, O.   +20 more
core   +10 more sources

A Blended Artificial Intelligence Approach for Spectral Classification of Stars in Massive Astronomical Surveys

open access: yesEntropy, 2020
This paper analyzes and compares the sensitivity and suitability of several artificial intelligence techniques applied to the Morgan–Keenan (MK) system for the classification of stars.
Carlos Dafonte   +4 more
doaj   +1 more source

Spectral Feature Extraction Using Partial and General Method

open access: yesAdvances in Astronomy, 2021
With the rapid growth in astronomical spectra produced by large sky survey telescopes, traditional manual classification processes can no longer fulfill the requirements of precision and efficiency of spectral classification.
Bin Jiang   +4 more
doaj   +1 more source

45. Stellar Classification (Classification Stellaire) [PDF]

open access: yesTransactions of the International Astronomical Union, 1997
This report covers research in the field of stellar classification in the period July 1993 to June 1996. It is divided into several sections which were written by experts in each subfield. I want to thank them for their effort and cooperation. To conserve space, all references are given with only one name followed by a + sign if there are additional ...
openaire   +1 more source

Observational evidence for the origin of X-ray sources in globular clusters [PDF]

open access: yes, 2007
Low-mass X-ray binaries, recycled pulsars, cataclysmic variables and magnetically active binaries are observed as X-ray sources in globular clusters. We discuss the classification of these systems, and find that some presumed active binaries are brighter
Cees Bassa   +11 more
core   +2 more sources

Machine Learning Applied to Star–Galaxy–QSO Classification and Stellar Effective Temperature Regression [PDF]

open access: yesAstronomical Journal, 2018
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

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