Results 111 to 120 of about 5,486 (209)

From synthetic SEDs to stellar origins: A deep learning model for physical parameter retrieval in hot subdwarf stars

open access: yesAstronomy & Astrophysics
Aims. The formation mechanisms of spectrally diverse hot subdwarfs remain unclear. While existing mass distribution analyses suggest additional channels beyond helium white dwarf (He-WD) mergers contribute to He-rich subdwarf formation, these conclusions
Feng Mengqi   +6 more
doaj   +1 more source

News on the X-ray emission from hot subdwarf stars

open access: yesOpen Astronomy, 2017
In latest years, the high sensitivity of the instruments on-board the XMM-Newton and Chandra satellites allowed us to explore the properties of the X-ray emission from hot subdwarf stars.
Palombara Nicola La, Mereghetti Sandro
doaj   +1 more source

Envelope loss of RGB/AGB stars and the formation of hot subdwarfs

open access: yesEPJ Web of Conferences, 2013
Low mass stars may lose their envelopes in the first giant branch (RGB) or the asymptotic giant branch (AGB) via envelope ejection (i.e. superwind). The envelope loss of AGB stars leads to the formation of carbon-oxygen (CO) white dwarfs (WDs), while the
Chen X., Han Z.
doaj   +1 more source

On the formation of single and binary helium-rich subdwarf O stars [PDF]

open access: bronze, 2010
Stephen Justham   +2 more
openalex   +1 more source

Detection of Long‐Period Variations in the Subdwarf B Star PG 0101+039 on the Basis of Photometry from theMOSTSatellite [PDF]

open access: bronze, 2005
S. K. Randall   +13 more
openalex   +1 more source

Discovery of [CLC][ITAL]p[/ITAL][/CLC]-Mode Instabilities in the Hot Subdwarf B Star PG 1047+003 [PDF]

open access: bronze, 1997
M. Billères   +6 more
openalex   +1 more source

The first massive compact companion in a wide orbit around a hot subdwarf star [PDF]

open access: green, 2023
S. Geier   +7 more
openalex   +1 more source

Deep Learning–driven Atmospheric Parameter Prediction for Hot Subdwarf Stars with Synthetic and Observed Spectra

open access: yesThe Astrophysical Journal Supplement Series
We design a convolutional neural network incorporating channel attention and spatial attention mechanisms to predict atmospheric parameters of hot subdwarfs.
Zhenxin Lei   +6 more
doaj   +1 more source

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