摘要
Purpose The Taishan Neutrino Experiment(TAO),also known as JUNO-TAO,serves as a satellite experiment for the Jiangmen Underground Neutrino Experiment(JUNO).Its primary objective is to measure the neutrino energy spectrum of the reactor,which serves as input data for JUNO.A key component of TAO is the ton-size liquid-flash detector,utilizing high-detection-efficiency Silicon photomultipliers(SiPMs)capable of observing around 4500 photons per MeV.Due to the pivotal role of SiPMs in the experiment,it is crucial to conduct a burn-in test to ensure their stability under light-avoidance conditions prior to the main experiment.The SiPM burn-in test is designed to verify the stable dark current of each SiPM.Methods To support the test,a specialized SiPM burn-in system is developed,intended to run stably for half a year.It incorporates a complete hardware setup to ensure reliable power supply and current output for each SiPM tile.On the software side,PyQt5 serves as the Graphical User Interface(GUI)development tool,while the logic control script is written in pure Python,facilitating integration with various hardware interface protocols.The data acquisition system encompasses modules for device control,data acquisition,storage,alarm,and logging,optimizing the system's stability and ease of operation.Results and conclusions Throughout the burn-in test,the system achieves real-time display of SiPM current and promptly issues abnormal alarms when necessary.This dynamic functionality demonstrates the system's stability and flexibility,effectively laying a solid foundation for the TAO experiment's success.
