Enhanced learning method for calibrating beam deviation of accelerator

• Main Authors: WANG JINQIANG, SHEN ZEBANG, WU QIANG, XIE QIRONG, YONG BINBIN, YANG XUHUI, ZHOU QINGGUO
• Format: Patent
• Language: Chinese; English
• Published: 24.09.2019
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR; ELECTRICITY; PHYSICS; PLASMA TECHNIQUE; PRODUCTION OF ACCELERATED ELECTRICALLY-CHARGED PARTICLES OR OFNEUTRONS; PRODUCTION OR ACCELERATION OF NEUTRAL MOLECULAR OR ATOMICBEAMS

The invention discloses an enhanced learning method for calibrating the beam deviation of an accelerator. In an intermediate energy beam transmission section of the accelerator, the position of the beam deviates due to the influence of the installation accuracy of equipment and the surrounding complex environment, which seriously affects the energy level to which the beam can reach. According to the traditional method, the calibration voltage value is acquired through complex physical calculation, a script program is used to automatically input for continuously trying, and the process is complex and tedious. According to the invention, calibration coils integrated in three groups of horizontal and vertical quadrupole magnets in the intermediate energy beam transmission section are analyzed, and the accelerator environment is modeled by using the characteristic of interactive learning between the environment and an intelligent agent by relying on enhanced learning, thereby being a beam deviation calibration me