论文标题

Fermilab的长基线中微子设施的优化研究

Optimization Studies for the Long-Baseline Neutrino Facility at Fermilab

论文作者

Rakhno, Igor, Mokhov, Nikolai, Tropin, Igor, Striganov, Sergei

论文摘要

自2010年代初以来,Fermilab正在开发深层地下中微子实验和长基线中微子设施(Dune-LBNF)[1]。目前,正在为美国能源部(DOE)进行的全面审查进行这项工作 - 关键决定2(CD-2) - 计划在2022年中期进行。沙丘的主要科学目标是对中微子振荡进行全面研究,以测试cp test test test test secter the lepton inter andecter and try inter and fate inter inter intrime and the the the the the the fate intrime of tosrime of tosrime of tosrime of facrime of facrime of facrime of fat f. (电子,Muon和Tau Neutrino)。 LBNF将利用新的800-MEV超导LINAC在中微子生产目标上提供120-GEV质子束,该目标预计将于2027年完成[2]。使用目标和喇叭系统,衰减管,强子吸收器和其他系统的中微子光束线是LBNF的核心组成部分。目前,由于众多迭代的结果 - 存在一个优化的设计,其石墨目标和由三个角组成的聚焦系统。进一步优化的能量沉积和放射学计算是针对CD-2及以后的。本文描述了最新的MARS15 [3]优化研究的结果。

The Deep Underground Neutrino Experiment and Long-Baseline Neutrino Facility (DUNE-LBNF) are under development at Fermilab since early 2010s [1]. At present, the work is being performed towards a comprehensive review conducted by US Department of Energy (DOE)-the Critical Decision 2 (CD-2)-that is planned to take place in the middle of 2022. The primary scientific objectives of DUNE are to carry out a comprehensive investigation of neutrino oscillations to test CP violation in the lepton sector, determine the ordering of the neutrino masses, and to test the three-neutrino paradigm (electron, muon and tau neutrino). The LBNF will provide a 120-GeV proton beam on a neutrino production target utilizing a new 800-MeV superconducting Linac which is expected to be completed in 2027 [2]. The neutrino beamline, which utilizes a target and horn systems, decay pipe, hadron absorber and other systems, is a core component of the LBNF. At present-as a result of numerous iterations-there exists an optimized design with a 1.5-m graphite target and focusing system consisting of three horns. Further optimization energy deposition and radiological calculations are performed towards CD-2 and beyond. This paper describes results of the most recent MARS15 [3] optimization studies.

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