Development of an early warning method incorporating pre-supernova neutrino light curves
Keita Saito, Minori Eizuka, Zhuojun Hu, Koichi Ichimura, Motoyasu Ikeda, Koji Ishidoshiro, Nanami Kawada, Lucas N. Machado, Lluis Marti-Magro, Kazuha Mikami, Koga Tachibana, Roger A. Wendell
TL;DR
This work addresses the challenge of providing an early warning for core-collapse supernovae by exploiting the time evolution of pre-SN neutrino signals. It introduces a rate+time log-likelihood alarm that profiles over the core-collapse time $t^*$ and integrates multiple pre-SN light-curve models to assess robustness. Applying the method to simulated KamLAND, SK-Gd, and their combination, the authors show substantial improvements in alert lead times while preserving the same false-alarm rate compared to conventional rate-only approaches. The approach enhances sensitivity to more distant sources and offers practical benefits for early notification systems in astronomy and multi-messenger observations.
Abstract
Massive stars ($M>8\mathrm{M_\odot}$) emit neutrinos known as pre-supernova (pre-SN) neutrinos through thermal and nuclear interactions for cooling the stellar core during the final stage of stellar evolution. Real-time monitoring of their pre-SN neutrino interaction rate offers a crucial opportunity to issue an early warning to a core-collapse supernova. Some neutrino detectors, including KamLAND and Super-Kamiokande already operate pre-SN alarm systems based on a statistically significant excess of the observed event rate over the expected background. To improve alarm sensitivity, we propose an alarm method which incorporates the time evolution of the observed pre-SN neutrino event rate. The method uses a log likelihood ratio test that references multiple theoretical stellar-evolution models and treats the core collapse time as a nuisance parameter to be profiled over. The performance of the proposed method was evaluated using simulated data for the KamLAND, Super-Kamiokande with dissolved Gadolinium (SK-Gd) and their combined analysis. The results demonstrate a significant improvement in the warning time compared to the conventional rate-only method, while maintaining the same false alarm rate.
