Linear accelerator beam tuning method

Abstract

The invention belongs to the technical field of linear accelerator optimization, and particularly relates to a linear accelerator beam optimization method, which comprises the following steps of: constructing a linear accelerator simulation model based on parameters, appearance and power of a linear accelerator, simulating various linear accelerators by adopting the linear accelerator simulation model, and optimizing the beam of the linear accelerator based on a display screen and a controller. Displaying and adjusting parameters in the simulated linear accelerator; through the cooperation of the above structures, the parameter and beam comparison table is generated, the beam condition of the linear accelerator is optimized and the beam state of the linear accelerator is adjusted based on the data on the parameter and beam comparison table, so that beam optimization of the linear accelerator is completed, and the linear accelerator simulation model is utilized to simulate the non-standard linear accelerator. Parameters in the non-standard linear accelerator and the beam state are compared and stored, so that the linear accelerator simulation model can simulate linear accelerators of different models.

Description

Technical Field

[0001] The invention belongs to the technical field of linear accelerator optimization, in particular to a linear accelerator beam tuning method. Background Art

[0002] A linear accelerator usually refers to an accelerator that uses a high-frequency electromagnetic field to accelerate particles, and the trajectory of the accelerated particles is a straight line. A high-frequency linear accelerator is referred to as a linear accelerator. It refers to a device that uses a high-frequency electric field distributed along a straight track to accelerate charged particles. According to the type of accelerated particles, it can be divided into electron linear accelerators, proton linear accelerators, heavy ion linear accelerators, and superconducting linear accelerators.

[0003] The accelerator is composed of three high columns made of insulating materials and the accelerator tube in the middle. The accelerator is kept vacuum by a vacuum pump, and its appearance is streamlined, not only for aesthetics, but also to prevent accidental discharge from any corners or protrusions. There are metal rings in the accelerator tube, which are connected to the high-voltage generator in such a way that the negative pressure of a series of metal rings gradually increases from the bottom to the top. The ion source that produces protons is installed at the upper end of the accelerator tube.

[0004] Most of the existing linear accelerator beam tuning methods are generally implemented by first obtaining the beam energy parameters of the linear accelerator, processing the beam energy parameters through a preset autoencoder model, obtaining target beam tuning parameters, and adjusting the parameters of the linear accelerator according to the target beam tuning parameters to adjust the magnetic induction intensity in the linear accelerator and achieve beam tuning of the linear accelerator.

[0005] The preset autoencoder model is obtained by training the initial autoencoder model based on the training sample set. The training sample set includes several training sample pairs consisting of sample beam energy parameters and sample beam tuning parameters. The initial loss value is the loss value of the first training of the initial autoencoder model. The preset autoencoder model that has been pre-trained is used to determine the target beam tuning parameters based on the beam energy parameters, so as to perform beam tuning on the linear accelerator based on the target beam tuning parameters.

[0006] Although the prior art achieves target beam tuning parameters based on beam energy parameters through the mutual cooperation of preset autoencoder models and decoder and other modules, the preset autoencoder model that has been pre-trained can be used to adjust the parameters of the linear accelerator based on the target beam tuning parameters to achieve the purpose of beam tuning, which is not limited to the physical knowledge and experience of the technicians and improves the beam tuning efficiency.

[0007] However, before tuning the linear accelerator beam based on the preset autoencoder model and decoder and other modules, only the beam energy parameters are obtained, and the beam capacity parameters are processed based on the preset autoencoder model to obtain the optimized beam energy parameters, which are applied to the linear accelerator to optimize the beam of the linear accelerator. However, when tuning the beam of different linear accelerators, it is necessary to obtain the beam energy parameters multiple times and optimize the beam energy parameters. It is impossible to compare different beam conditions under different parameters of different linear accelerators, which makes it inconvenient in the subsequent linear accelerator beam tuning process.

[0008] To this end, the present invention provides a linear accelerator beam tuning method. Summary of the invention

[0009] In order to make up for the deficiencies of the prior art, at least one technical problem raised in the background technology is solved.

[0010] The technical solution adopted by the present invention to solve the technical problem is: a linear accelerator beam tuning method described in the present invention comprises the following steps: S1: Construct a linear accelerator simulation model based on the parameters, appearance, and power of the linear accelerator. Use the linear accelerator simulation model to simulate various linear accelerators. Based on the display screen and controller, complete the display and parameter adjustment of the simulated linear accelerator parameters. S2: starting the simulated linear accelerator based on the controller, monitoring the corresponding beam conditions, recording the beam conditions and specific data of various parameters, adjusting the parameters using the controller, adjusting the beam state according to the parameters, and storing the specific data of the control parameters and the beam state; S3: Based on the stored various parameters, the corresponding parameters are compared with the corresponding beam states, and a parameter and beam comparison table is constructed based on the comparison. Based on the parameter and beam comparison table, the beam states under different requirements of the linear accelerator are adjusted to ensure that the beam matches the requirements of the linear accelerator. S4: simulating different linear accelerators based on the linear accelerator simulation model, controlling the simulation models of different linear accelerators using a controller and a display screen, and recording parameters of the simulation models of different linear accelerators, to generate a parameter and beam comparison table of different linear accelerators; S5: Subsequently, for different linear accelerator beams, based on the parameter and beam comparison table of different linear accelerators, the parameters of the linear accelerator are adjusted to optimize the linear accelerator beam conditions and complete the linear accelerator beam tuning.

[0011] As a further solution of the present invention: the linear accelerator simulation model is based on data entry, three-dimensional scanning, display screen and controller, and is based on multiple parameters including but not limited to the appearance and power of the linear accelerator, including: The linear accelerator model is entered into the linear accelerator simulation model, and the appearance, power, parameters and performance of the linear accelerator are simulated based on various parameters of the linear accelerator model, so as to simulate different models of linear accelerators.

[0012] As a further solution of the present invention: constructing a linear accelerator based on the parameters of the linear accelerator appearance and power, further comprising: The appearance of the non-standard linear accelerator is generated on the display screen based on three-dimensional scanning, and the specific data of the power, parameters and performance of the non-standard linear accelerator are entered into the linear accelerator simulation model to simulate and generate the non-standard linear accelerator. The simulated non-standard linear accelerator is run based on the controller, and its beam parameters are operated to optimize the beam state of the non-standard linear accelerator.

[0013] As a further solution of the present invention: different linear accelerators adjust the parameters of the linear accelerator entity based on the parameter and beam comparison table, use a Faraday ring to measure the parameters of the beam intensity, position, energy and emissivity in real time, and compare the measured data and parameters with the beam comparison table to confirm that the parameters of the simulated linear accelerator are the same as those of the linear accelerator entity, and that the strength, position, capacity and emissivity of the simulated linear accelerator and the linear accelerator entity are similar, and the credibility of the detection parameter and beam comparison table.

[0014] As a further solution of the present invention: the measurement data is parameter data of the intensity, position, energy and emissivity of the linear accelerator beam, and the parameter and beam comparison table includes the model of the linear accelerator, various parameters of the linear accelerator, and the intensity, position, energy and emissivity of the linear accelerator beam, ensuring that the measurement data and parameters are consistent with the various parameters in the beam comparison table.

[0015] As a further solution of the present invention: after the linear accelerator entity is started, based on the linear accelerator beam trajectory requirements, an overall trajectory correction method is used to further optimize the linear accelerator beam trajectory to ensure that the linear accelerator meets different beam trajectory requirements. The overall trajectory correction method is based on adjusting each upstream correction factor in turn, taking into account the downstream BPM reading, and using the least squares method to obtain the best BPM reading to obtain the best beam trajectory.

[0016] As a further solution of the present invention: based on the linear accelerator simulation model, the magnetic field in the linear accelerator is simulated, and the magnet parameters are adjusted by using a controller to adjust the magnetic field distribution, obtain the optimal magnetic field conditions, ensure that the magnetic field has good uniformity in the beam transmission area, ensure that the magnetic field of the linear accelerator is in the optimal condition during the simulation beam line process, and generate a magnet parameter comparison table based on the optimal parameters of different magnets.

[0017] As a further solution of the present invention: based on the parameter and beam comparison table and the magnet parameter comparison table, various parameters of the linear accelerator to be optimized are adjusted to optimize the beam of the linear accelerator. The linear accelerator simulation model uses electromagnetic simulation software to simulate the magnetic field generated by different magnets in the linear accelerator to ensure the authenticity of the magnetic field generated by different magnets simulated by the linear accelerator simulation model.

[0018] As a further solution of the present invention: a corresponding linear accelerator is presented based on the linear accelerator simulation model, and the linear accelerator is provided with a compensation coil, and the magnet parameters are automatically adjusted to maintain the uniformity of the magnetic field in response to the interference to the magnetic field caused by the operation of the linear accelerator. A monitoring unit is provided in the linear accelerator to monitor the uniformity of the magnetic field in real time, and an alarm unit is externally connected.

[0019] As a further solution of the present invention: the data entry includes data acquisition, data preprocessing, data de-impurity and final data entry, the data acquisition is to obtain the internal component parameters of the non-standard linear accelerator, the component parameters are normalized based on data preprocessing, and the data format is adjusted to be consistent with the data format required by the linear accelerator simulation model, and the data de-impurity is to remove impurities in the normalized data.

[0020] The beneficial effects of the present invention are as follows: 1. A linear accelerator beam tuning method according to the present invention performs real simulation of different linear accelerators based on a linear accelerator simulation model, and uses a display screen to display the simulated linear accelerator, uses a controller to control the simulated linear accelerator, adjusts different parameters, and records the state of the beam under different parameters, and stores the recorded parameters in comparison with the beam state to generate a parameter and beam comparison table. In the subsequent process of linear accelerator beam tuning, based on the data in the parameter and beam comparison table, the linear accelerator beam state is optimized, the linear accelerator beam state is adjusted, and thus the linear accelerator beam tuning is completed; 2. A linear accelerator beam tuning method described in the present invention is based on three-dimensional scanning and data entry, and various parameters of a non-standard linear accelerator are post-processed and entered into a linear accelerator simulation model, and the non-standard linear accelerator is simulated using the linear accelerator simulation model, and the parameters and beam states in the non-standard linear accelerator are compared and saved, so that the linear accelerator simulation model can simulate linear accelerators of different models and perform beam tuning for different linear accelerators according to the parameters and beam states; 3. A linear accelerator beam tuning method described in the present invention is based on the mutual coordination of the measurement data of the Faraday ring and the parameters and the beam comparison table, tests the beam state of the linear accelerator entity and the simulated linear accelerator under the same parameters, ensures the authenticity of the linear accelerator simulation model and the accuracy of the data, thereby ensuring the stability of the subsequent linear accelerator beam tuning according to the parameters and the beam comparison table, reducing the complexity of the linear accelerator tuning, so that the linear accelerator beam tuning is not limited to the physical knowledge and experience of the technicians, and improving the beam tuning efficiency; 4. The linear accelerator beam tuning method described in the present invention is based on the setting of the overall orbit correction method. During the linear accelerator tuning process, the orbit of the linear accelerator beam is adjusted, and the linear accelerator beam is further tuned, so that the linear accelerator beam is further optimized. By simulating magnets and magnetic fields and adjusting magnet parameters based on a magnet parameter comparison table, it is convenient for technicians to tune the linear accelerator beam and improves the efficiency of linear accelerator beam tuning. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] The present invention will be further described below in conjunction with the accompanying drawings.

[0022] Figure 1 It is a flowchart of the present invention; Figure 2 is a flow chart of linear accelerator beam tuning in the present invention; Figure 3 It is a flow chart of generating a parameter and beam current comparison table in the present invention; Figure 4 It is a flow chart of generating a magnet parameter comparison table in the present invention; Figure 5 It is a decision block diagram of magnetic field change and compensation in the present invention. DETAILED DESCRIPTION

[0023] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, the present invention is further explained below in conjunction with specific implementation methods.

[0024] The present invention provides a linear accelerator beam tuning method, referring to Figure 1 - Figure 5 , the present invention provides three embodiments: Embodiment 1: The following steps are involved: S1: construct a linear accelerator simulation model based on the parameters, appearance and power of the linear accelerator, use the linear accelerator simulation model to simulate the linear accelerator, and complete the display and parameter adjustment of the simulated linear accelerator based on the display screen and controller; S2: starting the simulated linear accelerator based on the controller, monitoring the corresponding beam conditions, recording the beam conditions and specific data of the parameters, adjusting the parameters using the controller, adjusting the beam state according to the parameters, and storing the specific data of the control parameters and the beam state; S3: Based on the different stored parameters, the corresponding parameters are compared with the corresponding beam states, and a parameter and beam comparison table is constructed based on the comparison. Based on the parameter and beam comparison table, the beam states under different requirements of the linear accelerator are adjusted to ensure that the beam matches the requirements of the linear accelerator. S4: simulating different linear accelerators based on the linear accelerator simulation model, controlling the simulation models of different linear accelerators using a controller and a display screen, and recording parameters of the simulation models of different linear accelerators, to generate a parameter and beam comparison table of different linear accelerators; S5: Subsequently, for different linear accelerator beams, based on the parameter and beam comparison table of different linear accelerators, the linear accelerator parameters are adjusted to optimize the linear accelerator beam conditions and complete the linear accelerator beam tuning.

[0025] The linear accelerator simulation model is based on data entry, 3D scanning, display screen and controller, and builds a linear accelerator based on parameters including but not limited to the appearance and power of the linear accelerator, including: The linear accelerator model is entered into the linear accelerator simulation model, and the appearance, power, parameters and performance of the linear accelerator are simulated based on various parameters of the linear accelerator model. Different models of linear accelerators are simulated, and the parameters and power of the same model of linear accelerators are the same. Therefore, in the process of simulating the same model of linear accelerator in the linear accelerator simulation model, various parameters of the existing model of linear accelerator are directly called and the simulation is completed, which makes the linear accelerator simulation model more convenient when simulating the existing linear accelerator.

[0026] Data entry includes data acquisition, data preprocessing, data de-cluttering and final data entry. Data acquisition is to obtain the parameters of the internal components of the non-standard linear accelerator. Based on data preprocessing, the component parameters are normalized and the data format is adjusted to be consistent with the data format required by the linear accelerator simulation model. Data de-cluttering is to remove impurities in the normalized data. Based on the mutual cooperation of data preprocessing and data de-cluttering, the various parameters and appearance data of the non-standard linear accelerator are normalized so that the data can run in the linear accelerator simulation model, which facilitates the linear accelerator simulation model to record the parameters of the non-standard linear accelerator.

[0027] Construct a linear accelerator based on the parameters of the linear accelerator appearance and power, and also include: The appearance model of the non-standard linear accelerator is generated on the display screen based on three-dimensional scanning, and the specific data of the power, parameters and performance of the non-standard linear accelerator are entered into the linear accelerator simulation model to simulate and generate the non-standard linear accelerator. The simulated non-standard linear accelerator is run based on the controller, and its beam parameters are operated to optimize the beam state of the non-standard linear accelerator. By entering the data of the non-standard linear accelerator, the linear accelerator simulation model can quickly simulate the non-standard linear accelerator and compare and record the parameters and beam states, which makes it more convenient for subsequent technicians to optimize the beam of the non-standard linear accelerator and improves the efficiency of beam tuning of the non-standard linear accelerator.

[0028] Embodiment 2: Based on embodiment 1, further, different linear accelerators adjust the parameters of the linear accelerator entity based on the parameter and beam comparison table, use the Faraday ring to measure the parameters of the beam intensity, position, energy and emissivity in real time, and compare the measured data and the parameters with the beam comparison table to confirm that the parameters of the simulated linear accelerator and the linear accelerator entity are the same, and the strength, position, capacity and emissivity of the simulated linear accelerator and the linear accelerator entity are similar, and the credibility of the parameter and beam comparison table is detected. After ensuring that the parameters of the simulated linear accelerator and the linear accelerator entity are consistent, the various parameters of the linear accelerator entity are measured according to the Faraday ring, and the measured parameters are compared with the parameters in the linear accelerator simulation model, so as to detect the relationship between the parameters and the beam state in the linear accelerator simulation model, and ensure the authenticity and credibility of the parameters and the beam state, so as to make the subsequent parameters of the linear accelerator beam tuning more accurate.

[0029] The measured data are parameter data of the intensity, position, energy and emissivity of the linear accelerator beam. The parameter and beam comparison table includes the model of the linear accelerator, various parameters of the linear accelerator, and the intensity, position, energy and emissivity of the linear accelerator beam. It ensures that the measured data and parameters are consistent with the parameters in the beam comparison table, which facilitates the subsequent comparison between the linear accelerator and the simulated linear accelerator, thereby making it more convenient to detect whether the linear accelerator simulation model is applicable to the linear accelerator entity.

[0030] Embodiment 3: Based on Embodiment 1 and Embodiment 2, further, after the linear accelerator entity is started, based on the linear accelerator beam trajectory requirements, the overall trajectory correction method is used to further optimize the linear accelerator beam trajectory to ensure that the linear accelerator meets different beam trajectory requirements. The overall trajectory correction method is based on adjusting each upstream correction factor in turn, taking into account the downstream BPM reading, and using the least squares method to obtain the best BPM reading to obtain the best beam trajectory.

[0031] Assume that the beam before correction is off-axis at the Lth BPM , since the correction amount of the jth syndrome at this BPM is ,in is the transfer matrix between BPM and syndrome, is the correction strength of the syndrome.

[0032] Define the parameter S as ,based on =0 to obtain the optimal orbital offset, so that when the number of correction subs and BPMs in the linear accelerator is large enough, the overall orbit of the beam in the linear accelerator can be corrected.

[0033] The magnetic field in the linear accelerator is simulated based on the linear accelerator simulation model, and the magnet parameters and magnetic field distribution are adjusted by the controller to obtain the optimal magnetic field conditions, ensure that the magnetic field has good uniformity in the beam transmission area, and ensure that the magnetic field of the linear accelerator is in the optimal condition during the simulation of the beam line. A magnet parameter comparison table is generated according to the optimal parameters of different magnets. Based on the simulation of the magnet and magnetic field in the linear accelerator, the optimal magnetic field conditions are obtained to ensure the uniformity of the magnetic field, and the parameters of the magnetic field conditions are applied to the linear accelerator entity, so that the linear accelerator entity is more convenient when performing beam tuning. Through the setting of the magnet parameter comparison table, the technicians can more conveniently debug the magnetic field during the beam tuning of the linear accelerators with different magnets, thereby facilitating the beam tuning of the linear accelerators with different magnets.

[0034] Based on the parameter and beam comparison table and the magnet parameter comparison table, various parameters of the linear accelerator to be optimized are adjusted to optimize the linear accelerator beam. The linear accelerator simulation model uses electromagnetic simulation software to simulate the magnetic field generated by different magnets in the linear accelerator to ensure the authenticity of the magnetic field generated by different magnets simulated by the linear accelerator simulation model.

[0035] Based on the linear accelerator simulation model, a corresponding linear accelerator is presented. The linear accelerator is provided with a compensation coil. According to the interference of the magnetic field generated during the operation of the linear accelerator, the magnet parameters are automatically adjusted to maintain the uniformity of the magnetic field. A monitoring unit is provided in the linear accelerator to monitor the uniformity of the magnetic field in real time, and an alarm unit is externally connected. Based on the compensation coil, during the operation of the linear accelerator, the uniformity of the magnetic field may change due to various conditions, so the magnetic field is adjusted through the compensation coil to maintain the uniformity of the magnetic field. Based on the setting of the detection unit, the magnetic field is monitored in real time. When the uniformity of the magnetic field changes, an alarm is sounded through the alarm unit, so that the technicians can find the change of the uniformity of the magnetic field more timely, and avoid the change of the uniformity of the magnetic field from excessively affecting the use of the linear accelerator.

[0036] The above-mentioned front, back, left, right, top and bottom are all based on the figures in the specification. Figure 1 As a benchmark, according to the person's observation perspective, the side of the device facing the observer is defined as the front, the left side of the observer is defined as the left, and so on.

[0037] In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as limiting the scope of protection of the present invention.

[0038] The above shows and describes the basic principles, main features and advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A linear accelerator beam tuning method, characterized in that: The following steps are involved: S1: construct a linear accelerator simulation model based on the parameters, appearance and power of the linear accelerator, use the linear accelerator simulation model to simulate the linear accelerator, and complete the display and parameter adjustment of the simulated linear accelerator based on the display screen and controller; S2: starting the simulated linear accelerator based on the controller, monitoring the corresponding beam conditions, recording the beam conditions and specific data of the parameters, adjusting the parameters using the controller, adjusting the beam state according to the parameters, and storing the specific data of the control parameters and the beam state; S3: Based on the different stored parameters, the corresponding parameters are compared with the corresponding beam states, and a parameter and beam comparison table is constructed based on the comparison. Based on the parameter and beam comparison table, the beam states under different requirements of the linear accelerator are adjusted to ensure that the beam matches the requirements of the linear accelerator. S4: simulating different linear accelerators based on the linear accelerator simulation model, controlling the simulation models of different linear accelerators using a controller and a display screen, and recording parameters of the simulation models of different linear accelerators, to generate a parameter and beam comparison table of different linear accelerators; S5: Subsequently, for different linear accelerator beams, based on the parameter and beam comparison table of different linear accelerators, the linear accelerator parameters are adjusted to optimize the linear accelerator beam conditions and complete the linear accelerator beam tuning.

2. A linear accelerator beam tuning method according to claim 1, characterized in that: The linear accelerator simulation model is based on data entry, three-dimensional scanning, display screen and controller, and is based on parameters including but not limited to the appearance and power of the linear accelerator, including: The linear accelerator model is entered into the linear accelerator simulation model, and the appearance, power, parameters and performance of the linear accelerator are simulated based on various parameters of the linear accelerator model, so as to simulate different models of linear accelerators.

3. A linear accelerator beam tuning method according to claim 2, characterized in that: Construct a linear accelerator based on the parameters of the linear accelerator appearance and power, and also include: The appearance of the non-standard linear accelerator is generated on the display screen based on three-dimensional scanning, and the specific data of the power, parameters and performance of the non-standard linear accelerator are entered into the linear accelerator simulation model to simulate and generate the non-standard linear accelerator. The simulated non-standard linear accelerator is run based on the controller, and its beam parameters are operated to optimize the beam state of the non-standard linear accelerator.

4. A linear accelerator beam tuning method according to claim 3, characterized in that: The different linear accelerators adjust the parameters of the linear accelerator entity based on the parameter and beam comparison table, use a Faraday ring to measure the parameters of the beam intensity, position, energy and emissivity in real time, and compare the measured data and parameters with the beam comparison table to confirm that the parameters of the simulated linear accelerator are the same as those of the linear accelerator entity, and that the strength, position, capacity and emissivity of the simulated linear accelerator and the linear accelerator entity are similar, thereby verifying the reliability of the detection parameters and the beam comparison table.

5. A linear accelerator beam tuning method according to claim 4, characterized in that: The measurement data are parameter data of the intensity, position, energy and emissivity of the linear accelerator beam. The parameter and beam comparison table includes the model of the linear accelerator, various parameters of the linear accelerator, and the intensity, position, energy and emissivity of the linear accelerator beam, ensuring that the measurement data and parameters are consistent with the parameters in the beam comparison table.

6. A linear accelerator beam tuning method according to claim 4, characterized in that: After the linear accelerator entity is started, based on the linear accelerator beam trajectory requirements, the overall trajectory correction method is used to further optimize the linear accelerator beam trajectory to ensure that the linear accelerator meets different beam trajectory requirements. The overall trajectory correction method is based on sequentially adjusting each upstream correction factor, taking into account the downstream BPM reading, and using the least squares method to obtain the best BPM reading to obtain the best beam trajectory.

7. A linear accelerator beam tuning method according to claim 6, characterized in that: Based on the linear accelerator simulation model, the magnetic field in the linear accelerator is simulated, and the magnet parameters and magnetic field distribution are adjusted using the controller to obtain the optimal magnetic field conditions, ensure that the magnetic field has good uniformity in the beam transmission area, and ensure that the magnetic field of the linear accelerator is in the optimal condition during the simulated beam line process. A magnet parameter comparison table is generated based on the optimal parameters of different magnets.

8. A linear accelerator beam tuning method according to claim 7, characterized in that: Based on the parameter and beam comparison table and the magnet parameter comparison table, various parameters of the linear accelerator to be optimized are adjusted to optimize the linear accelerator beam. The linear accelerator simulation model uses electromagnetic simulation software to simulate the magnetic field generated by different magnets in the linear accelerator to ensure the authenticity of the magnetic field generated by different magnets simulated by the linear accelerator simulation model.

9. The linear accelerator beam tuning method according to claim 1, characterized in that: A corresponding linear accelerator is presented based on the linear accelerator simulation model. The linear accelerator is provided with a compensation coil. According to the interference of the magnetic field caused by the linear accelerator during operation, the magnet parameters are automatically adjusted to maintain the uniformity of the magnetic field. A monitoring unit is provided in the linear accelerator to monitor the uniformity of the magnetic field in real time, and an alarm unit is externally connected.

10. The linear accelerator beam tuning method according to claim 2, characterized in that: The data entry includes data acquisition, data preprocessing, data de-cluttering and final data entry. The data acquisition is to obtain the internal component parameters of the non-standard linear accelerator, normalize the component parameters based on data preprocessing, and adjust the data format to be consistent with the data format required by the linear accelerator simulation model. The data de-cluttering is to remove impurities in the normalized data.

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