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hep-ex2023
Learning Broken Symmetries with Resimulation and Encouraged Invariance
Edmund Witkowski, Daniel Whiteson
Recognizing symmetries in data allows for significant boosts in neural network training. In many cases, however, the underlying symmetry is present only in an idealized dataset, an…
hep-ex2023
Learning to Isolate Muons in Data
Edmund Witkowski, Benjamin Nachman, Daniel Whiteson
We use unlabeled collision data and weakly-supervised learning to train models which can distinguish prompt muons from non-prompt muons using patterns of low-level particle activit…