首页> 外文学位 >A study of muon neutrino to electron neutrino oscillations in the MINOS experiment.
【24h】

A study of muon neutrino to electron neutrino oscillations in the MINOS experiment.

机译:在MINOS实验中研究μ介子中微子至电子中微子的振荡。

获取原文
获取原文并翻译 | 示例

摘要

The observation of neutrino oscillations (neutrino changing from one flavor to another) has provided compelling evidence that the neutrinos have non-zero masses and that leptons mix, which is not part of the original Standard Model of particle physics. The theoretical framework that describes neutrino oscillation involves two mass scales (Delta m2atm , and Delta m2sol ), three mixing angles (theta12, theta23, and theta13) and one CP violating phase (delta CP). Both mass scales and two of the mixing angles (theta 12 and theta23) have been measured by many neutrino experiments. The mixing angle theta13, which is believed to be very small, remains unknown. The current best limit on theta13 comes from the CHOOZ experiment: theta13 11° at 90% C.L. at the atmospheric mass scale. deltaCP is also unknown today.;MINOS, the Main Injector Neutrino Oscillation Search, is a long baseline neutrino experiment based at Fermi National Accelerator Laboratory. The experiment uses a muon neutrino beam, which is measured 1 km downstream from its origin in the Near Detector at Fermilab and then 735 km later in the Far Detector at the Soudan mine. By comparing these two measurements, MINOS can obtain parameters in the atmospheric sector of neutrino oscillations. MINOS has published results on the precise measurement of Delta m2atm and theta23 through the disappearance of muon neutrinos in the Far Detector and on a search for sterile neutrinos by looking for a deficit in the number of neutral current interactions seen in the Far Detector. MINOS also has the potential to improve the limit on the neutrino mixing angle theta 13 or make the first measurement of its value by searching for an electron neutrino appearance signal in the Far Detector. This is the focus of the study presented in this thesis.;We developed a neural network based algorithm to distinguish the electron neutrino signal from background. The most important part of this measurement is the background estimation, which is done through extrapolation. The number of background events is measured at the Near Detector, then extrapolated to the Far Detector. Since different background sources extrapolate differently, some knowledge about the relative contribution from different background sources is necessary. We developed a method that can be used to obtain relative contributions of various background sources from comparison of background rates in the horn-on and horn-off configurations. We also described our effort to improve two aspects of the Monte Carlo simulation which are very important for the nu e appearance analysis: one is the hadronization model in the neutrino-nucleon interactions, the other is the modeling of PMT crosstalk. We performed a blind analysis and examined several sidebands before looking at the signal region. After we opened the box, we observed a 1.4 sigma excess of nue-like events in the Far Detector compared with the number of predicted background events. The excess is well within the statistical fluctuation of the background events. If we interpret the excess as a nue signal from numu → nu e oscillation, the best fit sin2 2theta 13 value is consistent with the CHOOZ limit. However we want to emphasize that our result is consistent with theta13 = 0 at 90% C.L.
机译:对中微子振荡的观察(中微子从一种风味变为另一种风味)提供了令人信服的证据,表明中微子的质量为非零且轻子混合,这不是原始的粒子物理学标准模型的一部分。描述中微子振荡的理论框架涉及两个质量标度(Delta m2atm和Delta m2sol),三个混合角(theta12,theta23和theta13)和一个CP违反相(delta CP)。质量标尺和两个混合角(θ12和θ23)均通过许多中微子实验测量。被认为非常小的混合角θ13仍然未知。目前对theta13的最佳限制来自CHOOZ实验:在90%C.L时,theta13 <11°。在大气质量尺度上。今天,deltaCP还是未知数。; MINOS,主要喷射器中微子振荡搜索,是一项基于Fermi国家加速器实验室的长期基线中微子实验。该实验使用的是μ子中微子束,该束在费米实验室的近探测器中在距其起点下游1公里处测量,然后在Soudan矿的远探测器中测量735公里。通过比较这两个测量结果,MINOS可以获得中微子振荡的大气扇区中的参数。 MINOS发布了有关通过遥测器中的介子中微子消失而精确测量Delta m2atm和theta23的结果,以及通过寻找在遥测器中发现的中性电流相互作用数量不足来寻找无菌中微子的结果。 MINOS还可以改善中微子混合角θ13的极限,或者通过在远距离探测器中搜索电子中微子出现信号来对其值进行首次测量。这是本文研究的重点。我们开发了一种基于神经网络的算法来区分电子中微子信号与背景。此测量最重要的部分是背景估算,这是通过外推法完成的。在近探测器处测量背景事件的数量,然后推断到远探测器。由于不同的背景源推断的方式不同,因此需要有关不同背景源的相对贡献的一些知识。我们开发了一种方法,该方法可用于通过比较喇叭接通和喇叭断开配置中的背景速率来获得各种背景源的相对贡献。我们还描述了我们为改善蒙特卡洛模拟的两个方面而做出的努力,这两个方面对于新外观分析非常重要:一个是中微子-核子相互作用中的强子化模型,另一个是PMT串扰的建模。我们进行了盲目分析,并在查看信号区域之前检查了几个边带。打开包装盒后,我们发现在“远距离探测器”中,与预测的背景事件数量相比,有1.4σ的类似nue的事件过量。过量完全在背景事件的统计波动范围内。如果我们将多余的信号解释为来自numu→nu e振荡的新信号,则最合适的sin2 2theta 13值与CHOOZ极限一致。但是,我们要强调的是,我们的结果与90%C.L下的theta13 = 0一致。

著录项

  • 作者

    Yang, Tingjun.;

  • 作者单位

    Stanford University.;

  • 授予单位 Stanford University.;
  • 学科 Physics Elementary Particles and High Energy.
  • 学位 Ph.D.
  • 年度 2009
  • 页码 271 p.
  • 总页数 271
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 高能物理学;
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号