scholarly journals A Comprehensive Spectroscopic Analysis of DB White Dwarfs

2010 ◽  
Author(s):  
P. Bergeron ◽  
F. Wesemael ◽  
Pierre Dufour ◽  
A. Beauchamp ◽  
C. Hunter ◽  
...  
2019 ◽  
Vol 15 (S357) ◽  
pp. 162-165
Author(s):  
Antoine Bédard ◽  
Pierre Bergeron ◽  
Gilles Fontaine

AbstractAs they evolve, white dwarfs undergo major changes in their atmospheric composition, a phenomenon known as spectral evolution. In particular, most hot He-rich (DO) stars transform into H-rich (DA) stars as they cool off, most likely as a result of the float-up of residual H. We investigate this DO-to-DA transition by taking advantage of the extensive spectroscopic dataset provided by the Sloan Digital Sky Survey (SDSS). Using our new state-of-the-art non-LTE model atmospheres, we perform a spectroscopic analysis of 1882 hot (Teff >30,000 K) white dwarfs identified in the SDSS. We find that at least 15% of all white dwarfs are born with a He-dominated atmosphere. Among these, ∼2/3 turn into H-rich stars before they reach Teff ∼40,000 K, while the remaining ∼1/3 maintain their He-rich surface throughout their entire evolution. We speculate on the origin of these two groups of objects.


2010 ◽  
Vol 720 (1) ◽  
pp. 581-602 ◽  
Author(s):  
A. Gianninas ◽  
P. Bergeron ◽  
J. Dupuis ◽  
M. T. Ruiz

1994 ◽  
Vol 432 ◽  
pp. 305 ◽  
Author(s):  
P. Bergeron ◽  
F. Wesemael ◽  
A. Beauchamp ◽  
M. A. Wood ◽  
R. Lamontagne ◽  
...  

2020 ◽  
Vol 497 (3) ◽  
pp. 2688-2698 ◽  
Author(s):  
Vedant Chandra ◽  
Hsiang-Chih Hwang ◽  
Nadia L Zakamska ◽  
Tamás Budavári

ABSTRACT The spectroscopic features of white dwarfs are formed in the thin upper layer of their stellar photosphere. These features carry information about the white dwarf’s surface temperature, surface gravity, and chemical composition (hereafter ‘labels’). Existing methods to determine these labels rely on complex ab-initio theoretical models, which are not always publicly available. Here, we present two techniques to determine atmospheric labels from white dwarf spectra: a generative fitting pipeline that interpolates theoretical spectra with artificial neural networks and a random forest regression model using parameters derived from absorption line features. We test and compare our methods using a large catalogue of white dwarfs from the Sloan Digital Sky Survey (SDSS), achieving the same accuracy and negligible bias as compared to previous studies. We package our techniques into an open-source python module ‘wdtools’ that provides a computationally inexpensive way to determine stellar labels from white dwarf spectra observed from any facility. We will actively develop and update our tool as more theoretical models become publicly available. We discuss applications of our tool in its present form to identify interesting outlier white dwarf systems including those with magnetic fields, helium-rich atmospheres, and double-degenerate binaries.


2013 ◽  
Vol 559 ◽  
pp. A104 ◽  
Author(s):  
P.-E. Tremblay ◽  
H.-G. Ludwig ◽  
M. Steffen ◽  
B. Freytag

2010 ◽  
Vol 714 (2) ◽  
pp. 1037-1051 ◽  
Author(s):  
M.-M. Limoges ◽  
P. Bergeron

Sign in / Sign up

Export Citation Format

Share Document