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arXiv physics/0203018physics.ins-det
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利用Macro探测器多次散射估算μ子能量

Muon Energy Estimate Through Multiple Scattering with the Macro Detector

The MACRO Collaboration

摘要:

μ子能量的测量是研究中微子引起的上行μ子的重要实验问题。由于中微子振荡的概率取决于中微子的能量,所以测量μ子的能量可以增加关于中微子系统的重要信息。我们在本文中展示了如何MACRO有限的拖缆管系统可以在漂移模式下使用的TDC的QTP,一个电子设计的磁磁探测器搜索。通过对μ子径迹通过探测器时的多次散射的分析,得到了空间分辨率的提高。该信息可以进一步用于获得穿过检测器的μ子的能量的估计。在这里,我们提出了两个专门的测试,在欧洲核子研究中心PS-T9和SPS-X7光束线进行的结果,提供一个全面检查的电子设备,并利用这种多重散射分析的可行性。我们表明,通过使用神经网络的方法,我们能够重建的μ子能量为$E_μ<$ 40 GeV。测试束数据提供了绝对能量校准,这使我们能够将这种方法应用于MACRO数据。

英文摘要:

Muon energy measurement represents an important issue for any experiment addressing neutrino induced upgoing muon studies. Since the neutrino oscillation probability depends on the neutrino energy, a measurement of the muon energy adds an important piece of information concerning the neutrino system. We show in this paper how the MACRO limited streamer tube system can be operated in drift mode by using the TDC's included in the QTPs, an electronics designed for magnetic monopole search. An improvement of the space resolution is obtained, through an analysis of the multiple scattering of muon tracks as they pass through our detector. This information can be used further to obtain an estimate of the energy of muons crossing the detector. Here we present the results of two dedicated tests, performed at CERN PS-T9 and SPS-X7 beam lines, to provide a full check of the electronics and to exploit the feasibility of such a multiple scattering analysis. We show that by using a neural network approach, we are able to reconstruct the muon energy for $E_μ<$40 GeV. The test beam data provide an absolute energy calibration, which allows us to apply this method to MACRO data.

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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