Results 51 to 60 of about 2,400,614 (354)

A White Dwarf Search Model Based on a Deep Transfer-learning Method

The Astrophysical Journal Supplement Series, 2023
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, Zhicun Liu, Feng Wang, Ying Mei, Hui Deng, Chao Liu   +5 more
doaj   +1 more source

Effects of Stellar Rotation on Spectral Classification [PDF]

International Astronomical Union Colloquium, 1979
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 Population of Dipper Stars from the Transiting Exoplanet Survey Satellite Mission

The Astrophysical Journal Supplement Series, 2022
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, Melinda Soares-Furtado, Andrew Vanderburg, Marina Kounkel, Saul A. Rappaport, Mark Omohundro, Brian P. Powell, Robert Gagliano, Thomas Jacobs, Veselin B. Kostov, Martti H. Kristiansen, Daryll M. LaCourse, Allan R. Schmitt, Hans Martin Schwengeler, Ivan A. Terentev   +14 more
doaj   +1 more source

DIVISION G COMMISSION 45: STELLAR CLASSIFICATION [PDF]

Proceedings of the International Astronomical Union, 2015
Commission 45 is solidly anchored in the beginnings of the IAU. It evolved out of Commission 29, which was one of the original commissions and whose title and emphasis was the Spectral Classification of Stars (Transactions of the IAU, Volume I, 1922). C29 was formed with W.S. Adams (Pasadena) as president.
Richard Gray, Caroline Soubiran, Birgitta Nordström, Adam Burgasser, Ranjan Gupta, Margaret Hanson, Sandy K. Leggett, Caroline Soubiran, Harinder P. Singh, Birgitta Nordström   +9 more
openaire   +3 more sources

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

The impact of mass loss on star cluster formation. II. Numerical N-body integration & further applications [PDF]

, 2002
We subject to an N-body numerical investigation our analysis of Paper I on the survival of stellar clusters undergoing rapid mass loss. We compare analytical tracks of bound mass-fraction {\it vs} star formation efficiency $\epsilon$ to those obtained ...
Adams, Baumgardt, Binney, Boily, Boily, Brown, C. M. Boily, Clarke, Fellhauer, Geyer, Goodwin, Hernquist, Hernquist, Hills, Hénon, Jaffe, King, Kroupa, Lada, Lada, Meylan, Michie, P. Kroupa, Plummer, Press, Spitzer, Terlevich, Testi, Testi, Tutukov, Weinberg   +30 more
core   +3 more sources

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

, 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, Baume, G. L., Borissova, J., Chené, A. N., Corti, M. A., Kurtev, R., Panei, J. A., Suad, L. A., Testori, J. C.   +8 more
core   +3 more sources

Commission 29. (Stellar Classification.) [PDF]

Transactions of the International Astronomical Union, 1933
The Commission held two meetings and the time was taken up almost entirely in a discussion of stellar classification.Dr J. S. Plaskett moved, seconded by Miss Payne, that a sub-committee be appointed to consider the classification of Wolf Rayet and related spectra.The committee was appointed as follows: Miss C. H. Payne, Prof. H. H. Plaskett, Dr C.
H. N. Russell, C. S. Beals
openaire   +1 more source

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 use of Deep Learning in stellar classification

, 2021
We are applying various ML/DL techniques for the purpose of stellar spectroscopy. Having already ran tests with Principal Component Analysis (PCA) and Sliced Inverse Regression (SIR), we now turn our focus to Convolution Neural Network (CNN), among other techniques, in order to find the most accurate derivations for stellar parameters: effective ...
Connick, Kathleen, Gebran, Marwan, Paletou, Frédéric   +2 more
openaire   +2 more sources