Department of Physics, Syracuse University
Jessica Esquivel gave a very nice update last week at the MicroBooNE collaboration meeting about her work to use “deep learning” tools to separate muons and pions in the CC-Inclusive cross-section analysis. She included this animation, which shows a “deep learning” algorithm learning how to distinguish between five different particle types. This work was done using the SUrge GPU cluster at Syracuse University.
The current edition of the CERN Courier features a very nice article by Prof. Ulrich Mosel about the importance of improving the modeling of neutrino-nucleus interactions. An event display from ArgoNeuT is included to illustrate the complexity of such interactions. Here’s that same event, showing the Collection plane view too! It’s most likely a deep-inelastic scattering event, with what appears to be a very interesting backwards-traveling proton.