Neutrino Physics and Machine Learning (NPML 2025)

Session

New Experiments and Datasets

30 Oct 2025, 09:00

Koshiba Hall (University of Tokyo)

11. Nuclear recoil detection with color centers in bulk lithium fluoride

Patrick Stengel

30/10/2025, 09:00

Long talk (25min. + 10min. Q/A)

We present initial results on nuclear recoil detection based on the fluorescence of color centers created by nuclear recoils in lithium fluoride. We use gamma rays, fast and thermal neutrons, and study the difference in responses they induce, showing that this type of detector is rather insensitive to gamma rays. We use light-sheet fluorescence microscopy to image nuclear recoil tracks from...

38. Pitfalls and lessons from deep learning in neutrino physics

Saul Alonso-Monsalve

30/10/2025, 09:35

Long talk (25min. + 10min. Q/A)

Applying deep learning to neutrino physics offers powerful new capabilities for tasks such as event reconstruction, but it also exposes unique technical challenges. In this talk, I'll discuss lessons learned from the deep learning perspective: handling sparse, high-dimensional detector data; not limiting the capacity of our models; and ensuring model robustness and interpretability. These...

20. Event Classification and Annotated Dataset in CONNIE

Sara Mirthis Dantas dos Santos

30/10/2025, 10:30

Short talk (15min. + 5 min. Q/A)

The COherent Neutrino–Nucleus Interaction Experiment (CONNIE), located 30 m from the core of the Angra 2 reactor at the Almirante Álvaro Alberto Nuclear Power Plant in Brazil, is the first reactor neutrino experiment to employ silicon Skipper-CCDs with the aim of detecting coherent elastic neutrino-nucleus scattering (CEvNS), searching for physics beyond the Standard Model, and monitoring...

58. Data Challenges for Neutrino Physics AI research

Kazuhiro Terao

30/10/2025, 10:50

Long talk (25min. + 10min. Q/A)

TBD