Speaker
Description
The Jiangmen Underground Neutrino Observatory (JUNO) is a multipurpose liquid scintillator detector located 700 meters underground in Jiangmen, Guangdong Province, China. It is designed to achieve an exceptional energy resolution of $3\%/\sqrt{E\left(\mathrm{MeV}\right)}$. The primary goals of JUNO are to determine the neutrino mass ordering and to achieve sub-percent precision measurements of key neutrino oscillation parameters $\Delta m_{31}^2$, $\Delta m_{21}^2$, $sin\theta_{12}^2$. JUNO detects reactor antineutrinos primarily via the inverse beta decay (IBD) process, and is also capable of studying atmospheric, solar, and geoneutrinos, as well as supernova neutrinos.
This poster presents two main aspects: the development of a fast PyTorch-based fitter optimized with advanced computing techniques, enabling large-scale Monte Carlo simulations and significantly accelerating the neutrino oscillation analysis process; and the application of statistical methods for oscillation parameter analysis in JUNO, particularly under low-statistics conditions.
| Collaboration you are representing | JUNO |
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