Abstract:
The Taishan Antineutrino Observatory (JUNO-TAO) is a satellite experiment of the JUNO detector. JUNO-TAO is a ton-level liquid scintillator (LS) detector placed at ∼30 meters from a reactor core of the Taishan Nuclear Power Plant in Guangdong, China.The main purposes of TAO are to provide a reference antineutrino spectrum for JUNO removing model dependencies in the determination of the neutrino mass ordering, and to provide a benchmark measurement to test nuclear databases. TAO has 2.8 ton Gadolinium-doped LS (GdLS) contained in a spherical acrylic vessel of 1.8 m diameter. The event rate in the fiducial mass of ∼1 ton will be ∼2000 (∼4000) events/day considering (or not) the detection efficiency. About 4500 p.e./MeV is expected with an almost full coverage (∼10 m2) of SiPMs with >50% photon detection efficiency. The detector operates at -50◦C to lower the dark noise of SiPMs to ∼100 Hz/mm2. Considering the dark noise, cross talk, and charge resolution of the SiPMs, the expected energy resolution of TAO will be sub-percent in most of the relevant energy region.
The detector R&D was started in 2018. A GdLS recipe has been developed and showed good transparency and light yield at -50◦C. The SiPMs and the readout electronics have been preliminarily tested at the same temperature. The JUNO-TAO experiment is expected to start operation in 2022. The status of the detector design, R&D and expected performances will be presented.
Biography:
占亮:1982年出生,中国科学院高能物理研究所,研究员。
2004年毕业于中国科学技术大学,获理学学士学位;2009年毕业于中国科学院高能物理研究所,获理学博士学位; 2009年于中国科学院高能物理研究所博士后;2011年开始在中国科学院高能物理研究所工作。
2005年参加大亚湾实验,承担了探测器的模拟,误差估算,物理灵敏度分析,离线数据库的设计和管理工作。大亚湾实验于2012年发现了第三种中微子振荡模式,是该成果的核心贡献者,给出了θ13值的大小和非零的置信度,获得了高能物理学会颁发的“晨光杯”优秀论文特别奖。2015-2016年担任了大亚湾物理分析协调委员会成员,协调各项物理分析工作。江门中微子实验的提出者之一,2008和2009年提出了用反应堆中微子测量质量顺序的新方法和可行性,是两篇论文的第一作者。研究了江门中微子实验的物理潜力,提出了实验的物理目标和探测器需求,为实验选择了建设地点。提出了江门近点-台山实验方案,通过联合大亚湾,台山和江门三个实验,提高江门测量质量顺序灵敏度。
2016年入选为中国科学院青年创新促进会会员,2020年入选为中国科学院青年创新促进会优秀会员。2018年获得中国科学院粒子物理前沿卓越创新中心“青年拔尖人才奖”,2020年获得国家优秀青年科学基金项目资助。
Online meeting room:https://meeting.tencent.com/dm/k2agwnAv38eO (ID:679 741 285,password:123456)