Simulation Software of the JUNO Experiment

Abstract

The Jiangmen Underground Neutrino Observatory (JUNO) is a multi-purpose experiment, under construction in southeast China, that is designed to determine the neutrino mass ordering and precisely measure neutrino oscillation parameters. Monte Carlo simulation plays an important role for JUNO detector design, detector commissioning, offline data processing, and physics processing. The JUNO experiment has the world's largest liquid scintillator detector instrumented with many thousands of PMTs. The broad energy range of interest, long lifetime, and the large scale present data processing challenges across all areas. This paper describes the JUNO simulation software, highlighting the challenges of JUNO simulation and solutions to meet these challenges, including such issues as support for time-correlated analysis, event mixing, event correlation and handling the simulation of many millions of optical photons.

References in corpus (12)

• Method for detector description transformation to Unity and application in BESIII
• Calibration Strategy of the JUNO Experiment
• Mass Testing and Characterization of 20-inch PMTs for JUNO
• Vertex and Energy Reconstruction in JUNO with Machine Learning Methods
• Event vertex and time reconstruction in large volume liquid scintillator detector
• Radioactivity control strategy for the JUNO detector
• A method of detector and event visualization with Unity in JUNO
• A New Optical Model for Photomultiplier Tubes
• A method for sharing dynamic geometry information in studies on liquid-based detectors
• Design and Development of JUNO Event Data Model
• 9Li and 8He decays in GEANT4
• Deferred Optical Photon simulation for the JUNO experiment

Cited by in corpus (6)

• Distinctive nuclear signatures of low-energy atmospheric neutrinos
• Customized calibration sources in the JUNO experiment
• A ROOT based detector geometry and event visualization system for JUNO-TAO
• Interpretable machine learning approach for electron antineutrino selection in a large liquid scintillator detector
• Neutron source-based event reconstruction algorithm in large liquid scintillator detectors
• Fluorescence time profile measurement of LAB based liquid scintillator in response to medium relativistic ion particles