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arXiv 2202.01206astro-ph.HEhep-ph
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标准坍缩模型和双坍缩模型中的超新星中微子扩散背景

The Diffuse Supernova Neutrino Background in the Standard and Double Collapse Models

Alexander Libanov, Andrey Sharofeev

摘要:

扩散超新星中微子背景(DSNB)是一个强大的未来的工具,以限制核心塌缩爆炸机制,而无需观察附近的事件,相应的信号已经计算了各种塌缩模型。对于超新星(SN)1987 A,探测到了一个特殊的双中微子爆发,但在DSNB背景下从未研究过双坍缩模型。在这里,我们填补了这一空白,并比较了未来各种探测器中标准塌陷(SC)和双塌陷(DC)模型中预期的DSNB信号,包括Hyper-Kamiokande,JUNO,DUNE和大型Baksan中微子望远镜(LBNT)。我们计算的扩散中微子和反中微子的DC模型的光谱,并确定登记的事件作为一个函数的能量检测到的粒子,考虑到检测器参数的速率。对于每个检测器,我们估计相应的不确定性和背景,并比较SC和DC模型的预期信号。我们的结论是,DUNE和LBNT数据的组合将具有最高的灵敏度来区分SC和DC模型。

英文摘要:

The diffuse supernova neutrino background (DSNB) is a powerful future tool to constrain core-collapse explosion mechanisms without observation of a nearby event, and the corresponding signal has been calculated for a variety of collapse models. For Supernova (SN) 1987A, a peculiar double neutrino burst was detected, but models for the double collapse have never been studied in the DSNB context. Here, we fill this gap and compare the DSNB signal expected in the Standard Collapse (SC) and the Double Collapse (DC) models in various future detectors, including Hyper-Kamiokande, JUNO, DUNE and the Large Baksan Neutrino Telescope (LBNT). We calculate the spectra of diffuse neutrinos and antineutrinos in the DC model and determine the rate of registered events as a function of energy of the detected particle, taking into account detector parameters. For each detector, we estimate the corresponding uncertainties and the background and compare the signals expected for the SC and DC models. We conclude that the combination of DUNE and LBNT data will have the highest sensitivity to discriminate between the SC and DC models.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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