Work by group featured in Nature Review on Machine learning in HEP

Work done by the Taritree along with his colleagues, Kazu Terao (SLAC) and Vic Genty (Columbia U.), was included in a review of machine learning in high energy physics to which Taritree contributed.

Below is a figure included in an article. It shows the output of a convolutional neural network that was trained to locate neutrino interactions within a full MicroBooNE event image. The network output is the red box. The true box for this neutrino interaction is shown in yellow.

Link to review.

Link to work cited by review.