论文标题

在失败的核心 - 循环超新星失败的强子夸克相变引起的中微子信号波动的可检测性

Detectability of neutrino-signal fluctuations induced by the hadron-quark phase transition in failing core-collapse supernovae

论文作者

Lin, Zidu, Zha, Shuai, O'Connor, Evan P., Steiner, Andrew W.

论文摘要

我们引入了一种系统和定量方法,用于在核心中微子或冰中微子探测器中观察到的中微子事件率从观察到的中微子事件发生核心中微子事件中的失败核心 - 循环超新星中建立中微子振荡信号的存在。该方法在频域中使用似然比作为测试统计。它被用于对中微子信号进行定量分析,而无需假设中微子事件中存在PT诱导的振荡的频率,振幅,启动时间和持续时间,因此它适合分析来自各种数值模拟的中微子信号。我们通过使用Zha \ emph {等}(2021)对17太阳能星的核心差模拟测试该方法的有效性。基于该模型,我们进一步报告了核心爆发超新星的PT诱导的振荡的存在至$ \ sim 10 $ kpc,$ \ sim 5 $ kpc for IceCube,距离$ \ sim 10 $ kpc,$ \ kpc,$ \ sim 5 $ kpc和$ \ sim $ \ sim 1 $ kpc for a sim for a sim for a sim for a sim for a sims a chof for a sim a close for a sim a chof for a sim a chof a chos a sips 0.4mt chof s a sims a chove。这种方法将有助于研究未来的银河系超新星,并研究对核心偏离超新星核心的强子夸克阶段的研究。

We introduce a systematic and quantitative methodology for establishing the presence of neutrino oscillatory signals due to the hadron-quark phase transition (PT) in failing core-collapse supernovae from the observed neutrino event rate in water- or ice-based neutrino detectors. The methodology uses a likelihood ratio in the frequency domain as a test-statistic; it is employed for quantitative analysis of neutrino signals without assuming the frequency, amplitude, starting time, and duration of the PT-induced oscillations present in the neutrino events and thus it is suitable for analyzing neutrino signals from a wide variety of numerical simulations. We test the validity of this method by using a core-collapse simulation of a 17 solar-mass star by Zha \emph{et al.} (2021). Based on this model, we further report the presence of a PT-induced oscillations quantitatively for a core-collapse supernovae out to a distance of $\sim 10$ kpc, $\sim 5$ kpc for IceCube and to a distance of $\sim 10$ kpc, $\sim 5$ kpc and $\sim 1$ kpc for a 0.4 Mt mass water Cherenkov detector. This methodology will aid the investigation of a future galactic supernova and the study of hadron-quark phase in the core of core-collapse supernovae.

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