Calibration Strategy of the JUNO Experiment

Abstract

We present the calibration strategy for the 20 kton liquid scintillator central detector of the Jiangmen Underground Neutrino Observatory (JUNO). By utilizing a comprehensive multiple-source and multiple-positional calibration program, in combination with a novel dual calorimetry technique exploiting two independent photosensors and readout systems, we demonstrate that the JUNO central detector can achieve a better than 1% energy linearity and a 3% effective energy resolution, required by the neutrino mass ordering determination.

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Cited by in corpus (34)

• Sub-percent Precision Measurement of Neutrino Oscillation Parameters with JUNO
• Mass Testing and Characterization of 20-inch PMTs for JUNO
• Vertex and Energy Reconstruction in JUNO with Machine Learning Methods
• Prospects for Detecting the Diffuse Supernova Neutrino Background with JUNO
• Radioactivity control strategy for the JUNO detector
• Potential to identify neutrino mass ordering with reactor antineutrinos at JUNO
• JUNO Sensitivity on Proton Decay $p\to \bar{\nu }{K}^{+}$ Searches
• Prediction of Energy Resolution in the JUNO Experiment
• Simulation Software of the JUNO Experiment
• Physics potentials with a combined sensitivity of T2K-II, NO$\nu$A extension and JUNO
• Prospects for the detection of the Diffuse Supernova Neutrino Background with the experiments SK-Gd and JUNO
• Cable Loop Calibration System for Jiangmen Underground Neutrino Observatory
• Improving the energy uniformity for large liquid scintillator detectors
• Damping signatures at JUNO, a medium-baseline reactor neutrino oscillation experiment
• Combined sensitivity of JUNO and KM3NeT/ORCA to the neutrino mass ordering
• JUNO sensitivity to the annihilation of MeV dark matter in the galactic halo
• Calibration Strategy of the JUNO-TAO Experiment
• The Automatic Calibration Unit in JUNO
• Validation and integration tests of the JUNO 20-inch PMTs readout electronics
• Earth tomography with supernova neutrinos at future neutrino detectors
• Energy reconstruction for large liquid scintillator detectors with machine learning techniques: aggregated features approach
• JUNO Physics and Detector
• Implementation and performances of the IPbus protocol for the JUNO Large-PMT readout electronics
• Construction and Simulation Bias Study of The Guide Tube Calibration System for JUNO
• A Precise Method to Determine the Energy Scale and Resolution using Gamma Calibration Sources in a Liquid Scintillator Detector
• JUNO Oscillation Physics
• Customized calibration sources in the JUNO experiment
• Interpretable machine learning approach for electron antineutrino selection in a large liquid scintillator detector
• Status and Prospects of the JUNO Experiment
• Neutron source-based event reconstruction algorithm in large liquid scintillator detectors
• Design, waterproofing, and mass production of the 3-inch PMT frontend system of JUNO
• Deferred Optical Photon simulation for the JUNO experiment
• Unambiguously Resolving the Potential Neutrino Magnetic Moment Signal at Large Liquid Scintillator Detectors
• JUNO's prospects for determining the neutrino mass ordering