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arXiv 1201.6299hep-ph
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理解低能中微子工厂的性能:对基线距离和μ子储存能量的依赖性

Understanding the performance of the low energy neutrino factory: the dependence on baseline distance and stored-muon energy

Peter Ballett, Silvia Pascoli

摘要:

受最近T2 K、MINOS和双中微子实验中大θ13的启示的启发,我们研究了低能中微子工厂(LENF)的物理范围及其对所选基线距离L和μ子储存能量E μ的依赖性,以确定最佳LENF的构型。特别是,我们研究了LENF的性能在一系列的基线距离从1000公里到4000公里和存储μ子能量从4 GeV到25 GeV,连接的LENF(1300公里,4.5 GeV)的早期研究的传统,高能中微子工厂的设计(4000公里和7000公里,25 GeV)。三种不同的磁化检测器的选择被认为是:全主动闪烁探测器(TASD)和两种型号的液氩探测器区分乐观和保守的性能估计。为了比较每种设置的灵敏度,我们计算了完整的δ相关发现轮廓,以确定非零θ13,δ的CP违反值和质量等级。在sin ^2(2*θ13)=(few)*10^{-3}的大θ13的情况下,LENF在大部分L-E_μ参数空间上提供了强大的发现潜力,并且是未来一代长基线实验的有希望的候选者,这些实验旨在发现CP破坏和质量等级,并精确确定振荡参数。

英文摘要:

Motivated by recent hints of large θ13 from the T2K, MINOS and Double Chooz experiments, we study the physics reach of a Low Energy Neutrino Factory (LENF) and its dependence on the chosen baseline distance, L, and stored-muon energy, E_μ, in order to ascertain the configuration of the optimal LENF. In particular, we study the performance of the LENF over a range of baseline distances from 1000 km to 4000 km and stored-muon energies from 4 GeV to 25 GeV, connecting the early studies of the LENF (1300 km, 4.5 GeV) to those of the conventional, high-energy neutrino factory design (4000 km and 7000 km, 25 GeV). Three different magnetized detector options are considered: a Totally-Active Scintillator Detector (TASD) and two models of a liquid-argon detector distinguished by optimistic and conservative performance estimates. In order to compare the sensitivity of each set-up, we compute the full δ-dependent discovery contours for the determination of non-zero θ13, CP-violating values of δ and the mass hierarchy. In the case of large θ13 with sin^2(2*θ13) = (few)*10^{-3}, the LENF provides a strong discovery potential over the majority of the L-E_μ parameter space and is a promising candidate for the future generation of long baseline experiments aimed at discovering CP-violation and the mass hierarchy, and at making a precise determination of the oscillation parameters.

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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