A Multiple-detection-heads Machine Learning Algorithm for Detecting White Dwarfs
White dwarfs (WDs) are the ultimate stage for approximately 97% of stars in the Milky Way and are crucial for studying stellar evolution and galaxy structure. Due to their small size and low luminosity, WDs are not easily observable. Traditional search methods mostly rely on analyzing photometric pa...
Saved in:
Main Authors: | Jiangchuan Zhang, Yude Bu, Mengmeng Zhang, Duo Xie, Zhenping Yi |
---|---|
Format: | Article |
Language: | English |
Published: |
IOP Publishing
2025-01-01
|
Series: | The Astrophysical Journal Supplement Series |
Subjects: | |
Online Access: | https://doi.org/10.3847/1538-4365/ad97b8 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
3D Convective Urca Process in a Simmering White Dwarf
by: Brendan Boyd, et al.
Published: (2025-01-01) -
Stability and Convergence of Nuclear Detonations in White Dwarf Collisions
by: Peter Anninos, et al.
Published: (2025-01-01) -
Discovery of the Richest Pulsating Ultramassive White Dwarf
by: Francisco C. De Gerónimo, et al.
Published: (2025-01-01) -
A Second Candidate Magnetic Helium Core White Dwarf and 3 Other Variable White Dwarfs in the Globular Cluster NGC 6397
by: Manuel Pichardo Marcano, et al.
Published: (2025-01-01) -
Sporadic Dips from Extended Debris Transiting the Metal-rich White Dwarf SBSS 1232+563
by: J. J. Hermes, et al.
Published: (2025-01-01)