Journal Article FZJ-2020-05232

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A semi-analytical energy response model for low-energy events in JUNO

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2020
Inst. of Physics London

Journal of Instrumentation 15(10), P10007 - P10007 () [10.1088/1748-0221/15/10/P10007]

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Abstract: The Jiangmen Underground Neutrino Observatory (JUNO) is a next-generation neutrino experiment under construction in China expected to be completed in 2022. As the main goal it aims to determine the neutrino mass ordering with 3–4 σ significance using a 20 kton liquid scintillator detector. It will measure the oscillated energy spectrum of electron anti-neutrinos from two nuclear power plants at about 53 km baseline with an unprecedented energy resolution of 3% at 1 MeV . A requirement of the JUNO experiment is the knowledge of the energy non-linearity of the detector with a sub-percent precision. As the light yield of the liquid scintillator is not fully linear to the energy of the detected particle and dependent on the particle type, a model for this light yield is presented in this paper. Based on an energy non-linearity model of electrons, this article provides the conversion to the more complex energy response of positrons and gammas. This conversion uses a fast and simple algorithm to calculate the spectrum of secondary electrons generated by a gamma, which is introduced here and made open access to potential users. It is also discussed how the positron non-linearity can be obtained from the detector calibration with gamma sources using the results presented in this article.

Classification:

Contributing Institute(s):
  1. Experimentelle Hadrondynamik (IKP-2)
Research Program(s):
  1. 612 - Cosmic Matter in the Laboratory (POF3-612) (POF3-612)

Appears in the scientific report 2020
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Medline ; OpenAccess ; Clarivate Analytics Master Journal List ; Current Contents - Physical, Chemical and Earth Sciences ; Essential Science Indicators ; IF < 5 ; JCR ; NationallizenzNationallizenz ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection
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 Record created 2020-12-13, last modified 2021-01-30