Results 41 to 50 of about 2,400,614 (354)
Exploring the Morphology of RAVE Stellar Spectra [PDF]
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 +6 more sources
Classification of Stellar Spectra [PDF]
SummaryThe objectives of this exercise are to gain familiarity with the appearance of the spectra of stars, to understand some of the temperature and luminosity criteria used to classify spectra, and to gain insights into the relationship between the appearance of stellar spectra and physical conditions in stellar atmospheres.
openaire +2 more sources
Stellar spectral classification and feature evaluation based on a random forest [PDF]
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
Spectral Feature Extraction Using Partial and General Method
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
Dust Penetrated Arm Classes: Insights from rising and falling rotation curves [PDF]
In the last decade, near-infrared imaging has highlighted the decoupling of gaseous and old stellar disks: the morphologies of optical (Population I) tracers compared to the old stellar disk morphology, can be radically different.
Bertin+41 more
core +2 more sources
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 Classification of Galaxies Along the Hubble Sequence [PDF]
We develop a straightforward and quantitative two-step method for spectroscopically classifying galaxies from the low signal-to-noise (S/N) optical spectra typical of galaxy redshift surveys. First, using \chi^2-fitting of characteristic templates to the
Willick, Jeffrey A.+2 more
core +2 more sources
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
CORMASS: A Compact and Efficient NIR Spectrograph for Studying Low-Mass Objects [PDF]
CorMASS (Cornell Massachusetts Slit Spectrograph) is a compact, low-resolution (R=300), double-pass prism cross-dispersed near-infrared (NIR) spectrograph in operation on the Palomar Observatory 60-inch telescope.
Colonno, M. R.+8 more
core +3 more sources
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