Enhanced learning method for calibrating beam deviation of accelerator

Abstract

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 method which uses a deterministic strategy to explore the continuous large state space and motion space and approaches to the optimal calibration voltage value by using a neural network.

Description

technical field [0001] The invention relates to a reinforcement learning method for calibrating accelerator beam offset. Background technique [0002] The proton linear accelerator is a scientific device with high beam intensity and easy particle injection and extraction, which is composed of high-frequency power ion source, accelerating electrode, target chamber, and direct-space system. The medium-energy beam transmission section of the proton linear accelerator is installed by multiple quadrupole magnets along the center of the axis. Due to the interaction between the installation accuracy and the surrounding complex magnetic field, it is inevitable that the accelerated high-energy proton beam will be damaged during the movement. Orbital offset, too much offset will affect the quality of the protons entering the superconducting cavity, and even pose high-energy safety hazards. The current proton beam orbital offset correction mainly relies on complex physical methods and...

AI Technical Summary

Problems solved by technology

The medium-energy beam transmission section of the proton linear accelerator is installed by multiple quadrupole magnets along the center of the axis. Due to the interaction between the installation accuracy and the surrounding complex magnetic field, it is inevitable that the accelerated high-energy proton beam will be damaged during the movement. Orbital offset, too much offset will affect the quality of the protons entering the superconducting cavity, and even have high-energy safety hazards

The current proton beam orbital offset correction mainly relies on complex physical methods and a large number of mathematical operations to calculate the orbital offset, and then continuously input the voltage value of the magnet coil for calibration. Since the proton linear accelerator system is a complex with many variables system, it is very inefficient to use repeated debugging coil by coil, and there is basically no method to directly and automatically correct the voltage value of the magnet coil according to the position information of the beam current movement.

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