Automated Detection of Classical Novae with Neural Networks

@article{Feeney2005AutomatedDO,
  title={Automated Detection of Classical Novae with Neural Networks},
  author={Susan Barbara Feeney and Vasily A Belokurov and N. Wyn Evans and J. An and Paul C. Hewett and Michael F. Bode and Matthew J. Darnley and Eamonn Kerins and Paul Baillon and Bernard J. Carr and St{\'e}phane Paulin-Henriksson and A. Gould},
  journal={The Astronomical Journal},
  year={2005},
  volume={130},
  pages={84 - 94}
}
The POINT-AGAPE collaboration surveyed M31 with the primary goal of optical detection of microlensing events, yet its data catalog is also a prime source of light curves of variable and transient objects, including classical novae (CNe). A reliable means of identification, combined with a thorough survey of the variable objects in M31, provides an excellent opportunity to locate and study an entire galactic population of CNe. This paper presents a set of 440 neural networks, working in 44… 
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