2023
DOI: 10.1093/mnras/stad3768
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Machine-learning applications for cataclysmic variable discovery in the ZTF alert stream

D Mistry,
C M Copperwheat,
M J Darnley
et al.

Abstract: Cataclysmic variables (CV) encompass a diverse array of accreting white dwarf binary systems. Each class of CV represents a snapshot along an evolutionary journey, one with the potential to trigger a type Ia supernova event. The study of CVs offers valuable insights into binary evolution and accretion physics, with the rarest examples potentially providing the deepest insights. However, the escalating number of detected transients, coupled with our limited capacity to investigate them all, poses challenges in … Show more

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