1. IE browser is NOT supported anymore. Please use Chrome, Firefox or Edge instead.
2. If you are a new user, please register to get an IHEP SSO account through https://login.ihep.ac.cn/registlight.jsp Any questions, please email us at helpdesk@ihep.ac.cn or call 88236855.
3. If you need to create a conference in the "Conferences, Workshops and Events" zone, please email us at helpdesk@ihep.ac.cn.
4. The max file size allowed for upload is 100 Mb.

JUNO reactor IBD selection with machine learning method

Not scheduled
20m
Poster 中微子物理、粒子天体物理与宇宙学

Speaker

菲 肖 (高能所)

Description

Jiangmen Underground Neutrino Observatory (JUNO) is a multi-purpose neutrino experiment located in southern China. The primary goal of JUNO is to determine the neutrino mass ordering and measure several neutrino oscillation parameters to sub-percent precision by measuring the oscillated reactor antineutrino spectrum at 52.5 km from eight nuclear reactors. Selection of the reactor IBD signal with high efficiency and accuracy is key to measuring the oscillated reactor antineutrino spectrum. I will present a box-cut method to separate the IBD signal from background. Besides, the results of separating IBD signals and accidentals by machine learning method will also be discussed.

Primary author

菲 肖 (高能所)

Presentation materials

There are no materials yet.