212 citations · 549 across the 12 of their papers we have counts for
5 papers · 1 filter
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…
Cosmogenic neutron production at Daya Bay
Daya Bay Collaboration, F. P. An, A. B. Balantekin +197
Neutrons produced by cosmic ray muons are an important background for underground experiments studying neutrino oscillations, neutrinoless double beta decay, dark matter, and other…
Seasonal Variation of the Underground Cosmic Muon Flux Observed at Daya Bay
F. P. An, A. B. Balantekin, H. R. Band +199
The Daya Bay Experiment consists of eight identically designed detectors located in three underground experimental halls named as EH1, EH2, EH3, with 250, 265 and 860 meters of wat…
Light Attenuation Length of High Quality Linear Alkyl Benzene as Liquid Scintillator Solvent for the JUNO Experiment
Hai-Bo Yang, De-Wen Cao, Chang-Wei Loh +8
The Jiangmen Underground Neutrino Observatory (JUNO) is a multipurpose neutrino experiment with a 20 kt liquid scintillator detector designed to determine the neutrino mass hierarc…