Neutrino Physics and Machine Learning 2023

Session

Session 3

23 Aug 2023, 09:00

Tufts University

36. Deep Learning for Water Cherenkov Detectors

Junjie Xia (IPMU)

23/08/2023, 09:15

Collaboration Talk

Cherenkov radiation is widely used in particle physics and astro-physics since its discovery in the early 20th century.
Numerous waterCherenkov detectors have been deployed, with more in preparation,for various physics programs such as nucleon decay search and preciseneutrino measurements. Like all other experiments, efficiently quan-tifying detector systematic uncertainties poses a...

21. Nova collaboration talk

Ashley Back (Indiana University)

23/08/2023, 10:00

Collaboration Talk

NOvA is a leading long-baseline neutrino experiment. Using neutrinos from the ~900 kW NuMI beam at Fermi National Accelerator Laboratory, with a near detector on site and an 810 km baseline to the far detector, in Ash River, Minnesota, NOvA can probe neutrino oscillations. Both detectors are functionally similar fine-grained segmented calorimeters, which makes the readout well-suited as an...

4. Convolution Transformers for NOvA Event and Particle Classification

Alejandro Yankelevich (University of California, Irvine)

23/08/2023, 11:00

Individual Talk

NOvA is a long-baseline neutrino experiment studying neutrino oscillations with Fermilab's NuMI beam. The experiment consists of two functionally identical detectors formed from plastic extrusions filled with a liquid scintillator for the purpose of observing the disappearance of muon neutrinos and the appearance of electron neutrinos. NOvA's recent oscillation measurements used convolution...

25. Differentiable simulation of the DUNE near detector liquid argon time projection chamber

Yifan Chen (SLAC)

23/08/2023, 11:35

Individual Talk

The fidelity of detector simulation is crucial for precision experiments, such as the Deep Underground Neutrino Experiment (DUNE) which uses liquid argon time projection chambers (LArTPCs). We can improve the detector simulation by performing dedicated calibration measurements against controlled real data and then applying them to the simulation. Using conventional calibration approaches,...