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Mar, 2019
RAPID: 基于深度学习的爆炸式瞬变早期分类
RAPID: Early Classification of Explosive Transients using Deep Learning
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Daniel Muthukrishna, Gautham Narayan, Kaisey S. Mandel, Rahul Biswas, Renée Hložek
TL;DR
RAPID是一个用于时间序列分类的深度递归神经网络工具,可自动从初始警报的一天内到完整光度曲线的整个生命周期内识别瞬变现象,并且无需从数据中提取计算量昂贵的特征,因此非常适合处理ZTF和LSST等广域巡天发现的数百万警报。
Abstract
We present
rapid
(Real-time Automated Photometric IDentification), a novel
time-series classification
tool capable of automatically identifying transients from within a day of the initial alert, to the full lifet
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