Results 21 to 30 of about 71,994 (275)

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

, 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., Petrillo, Carlo E., Trayford, James, van der Tak, Floris F. S., Wang, Lingyu   +4 more
core   +3 more sources

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

EPJ 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., Recio-Blanco A., de Laverny P., Worley C.C., Kordopatis G.   +4 more
doaj   +1 more source

POSYDON: A General-purpose Population Synthesis Code with Detailed Binary-evolution Simulations

The Astrophysical Journal Supplement Series, 2023
Most massive stars are members of a binary or a higher-order stellar system, where the presence of a binary companion can decisively alter their evolution via binary interactions. Interacting binaries are also important astrophysical laboratories for the
Tassos Fragos, Jeff J. Andrews, Simone S. Bavera, Christopher P. L. Berry, Scott Coughlin, Aaron Dotter, Prabin Giri, Vicky Kalogera, Aggelos Katsaggelos, Konstantinos Kovlakas, Shamal Lalvani, Devina Misra, Philipp M. Srivastava, Ying Qin, Kyle A. Rocha, Jaime Román-Garza, Juan Gabriel Serra, Petter Stahle, Meng Sun, Xu Teng, Goce Trajcevski, Nam Hai Tran, Zepei Xing, Emmanouil Zapartas, Michael Zevin   +24 more
doaj   +1 more source

45. Stellar Classification (Classification Stellaire) [PDF]

Transactions 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

Stellar Classification with Vision Transformer and SDSS Photometric Images

Universe
With the development of large-scale sky surveys, an increasing number of stellar photometric images have been obtained. However, most stars lack spectroscopic data, which hinders stellar classification.
Yi Yang, Xin Li
doaj   +1 more source

Stellar classification of CoRoT targets [PDF]

Astronomy & Astrophysics, 2016
24 pages, 30 figures, accepted for publication in A& ...
Damiani, C., Meunier, J.-C., Moutou, C., Deleuil, M., Ysard, N., Baudin, F., Deeg, H., Meunier, C.   +7 more
openaire   +3 more sources

45. Stellar Classification [PDF]

Transactions of the International Astronomical Union, 1982
The years covered in this report (1979-81) have been active ones in the field of stellar classification, as is made obvious in the following sections. In addition to the individual references listed there, a number of symposia, colloquia, and workshops were held during the report period which included papers relevant to stellar classification.
openaire   +1 more source

Spectral classification of stars based on LAMOST spectra

, 2015
In this work, we select the high signal-to-noise ratio spectra of stars from the LAMOST data andmap theirMK classes to the spectral features. The equivalentwidths of the prominent spectral lines, playing the similar role as the multi-color photometry ...
Cui, Wen-Yuan, Deng, Li-Cai, Hou, Yonghui, Liu, Chao, Wan, Jun-Chen, Wang, Yuefei, Yang, Ming, Zhang, Bo, Zhang, Yong   +8 more
core   +1 more source

Dust Penetrated Arm Classes: Insights from rising and falling rotation curves [PDF]

, 2004
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, Bertin, Bertin, Bertin, Bertin, Bertin, Block, Block, Block, Block, Block, Block, Block, Burstein, Considère, de Jong, Frogel, Fuchs, Fuchs, Garcia-Gomez, Goldreich, Hohl, Hubble, Kennicutt, Lin, Lin, Lindblad, Lynden-Bell, Mark, Martin, Mathewson, Pfenniger, Puerari, Rhoads, Rix, Schröder, Seigar, Seigar, Seigar, Thornley, Toomre, Worthey   +41 more
core   +2 more sources

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

Entropy, 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, Alejandra Rodríguez, Minia Manteiga, Ángel Gómez, Bernardino Arcay   +4 more
doaj   +1 more source