Nuclear, Particle, Astroparticle and Cosmology (NUPAC) Seminars
Building Efficient and Interpretable AI for Neutrinoless Double-Beta Decay Searches
Presented by Dr. Aobo Li (UNC Chapel Hill)
The discovery of Majorana neutrinos would fundamentally revise our understanding of physics and the cosmos. Currently, the most effective experimental probe of the Majorana neutrinos is neutrinoless double-beta decay(0vββ). Meanwhile, the explosive growth of artificial intelligence over the last decade has brought new opportunities to 0vββ experiments. Efficient and interpretable AI algorithms could break down significant technological barriers and, in turn, deliver the world's most sensitive search for 0vββ. This talk will discuss one such algorithm--KamNet, which plays a pivotal role in the new result of the KamLAND-Zen experiment. With the help of KamNet, KamLAND-Zen provides a limit that reaches below 50 meV for the first time and is the first search for 0νββ in the inverted mass ordering region. Looking further, the next-generation 0vββ experiment LEGEND has created the Germanium Machine Learning group to pursue an efficient and interpretable AI analysis chain. As the odyssey continues, AI will enlighten the bright future of 0νββ and fundamental symmetries in general.
2:00 pm, Tuesday, November 15, 2022
PAIS-3205, PAIS
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A schedule of talks within the Department of Physics and Astronomy is available on the P&A web site at http://physics.unm.edu/pandaweb/events/index.php