HEP.TrackX Weekly

Monday 22 May 2017, 13:30 → 14:30 US/Pacific

vidyo

Paolo Calafiura, Steven Farrell

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Slides Farrell_2017_05_22.pdf

Present: Aris, Jim, Mayur, Stephan, Steve, Josh, Paolo Jean-Roch will present HEP.TrkX at ATLAS ML workshop Jun 6-9. FNAL Aris started playing with latest Dustin LSTM network similar to what JR did track by track instead than globally for an event Giuseppe started working on loss function for training Caltech Josh’s generative network talk at SLAC last week https://indico.cern.ch/event/568875/contributions/2397925/attachments/1459058/2253175/mcgbr-May12-2017.pdf LBL Steve’s Continuous space hit classifier Fully connected NN, works qualitatively well picking one track (10 hits) out of 50 hits (5 tracks). Slow to converge (50M samples to train). LSTM (training as we speak) is faster but still not fully converged before the meeting. CNN trains even better, and performs well despite being an atypical application for a CNN.