The Data-Driven Triggering System for the NOvA experiment is a system that allows for real-time processing of the NOvA data stream to identify topologies of interest within the raw, unfiltered data stream.
This system allows for the use of robust reconstruction and identification algorithms to be run to "trigger" the recording of segments of the detector's readouts. This system integrates with the NOvA Data Acquisition (DAQ) system as well as providing support for running analysis
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Developer: Alec Habig, Alexander Antoshkin, Andrew Norman, Andrew Sutton, Andrey Sheshukov, Barnali Chowdhury, Biao Wang, Cathal Sweeney, Christopher Backhouse, Connor Johnson, Craig Group, Cristiana Principato, Dung Phan, Enhao Song, Eric Culbertson, Eric Fries, Evan Niner, Filip Jediny, Gennadiy Lukhanin, Hongyue Duyang, Iuri Oksuzian, Jan Zirnstein, Jaroslav Zalesak, Jim Kowalkowski, John Matter, Jonathan Davies, Junting Huang, Kyle Thomsen, Louise Suter, Luke Vinton, Marc Paterno, Martin Frank, Matthew Judah, Matthew Strait, Michael Wang, Mohamed Elashri, Norman Buchanan, Paul Rojas, Pengfei Ding, Peter Shanahan, Ralf Ehrlich, Robert Hatcher, Robert Mina, Ron Rechenmacher, Shih-kai Lin