1.2k citations · 1.3k across the 7 of their papers we have counts for
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Importance and construction of features in identifying new physics signals with deep learning
Chang-Wei Loh, Rui Zhang, Yong-Heng Xu +7
Advances in machine learning have led to an emergence of new paradigms in the analysis of large data which could assist traditional approaches in the search for new physics amongst…
Deep Learning the Effects of Photon Sensors on the Event Reconstruction Performance in an Antineutrino Detector
Chang-Wei Loh, Zhi-Qiang Qian, You-Hang Liu +5
We provide a fast approach incorporating the usage of deep learning for evaluating the effects of photon sensors in an antineutrino detector on the event reconstruction performance…
The Flash ADC system and PMT waveform reconstruction for the Daya Bay Experiment
Yongbo Huang, Jinfan Chang, Yaping Cheng +12
To better understand the energy response of the Antineutrino Detector (AD), the Daya Bay Reactor Neutrino Experiment installed a full Flash ADC readout system on one AD that allowe…