A beam optimization method for a linear accelerator

Abstract

The present invention belongs to the technical field of linear accelerator optimization, and specifically relates to a method for optimizing the beam of a linear accelerator, which includes the following steps: constructing a linear accelerator simulation model based on the parameters, appearance, and power of the linear accelerator, using the linear accelerator simulation model to simulate a variety of linear accelerators, and based on the display screen and the controller, completing the display and adjustment of the parameters in the simulated linear accelerator; through the cooperation of the above structures, generating a parameter-beam correspondence table, and based on the data on the parameter-beam correspondence table, optimizing the beam condition of the linear accelerator, adjusting the beam state of the linear accelerator, thereby completing the beam optimization of the linear accelerator, and using the linear accelerator simulation model to simulate non-standard linear accelerators, and comparing and saving the parameters and beam states in the non-standard linear accelerators, so that the linear accelerator simulation model can simulate different models of linear accelerators.

Description

Technical Field

[0001] The present invention belongs to the technical field of linear accelerator optimization, and specifically relates to a beam tuning method for a linear accelerator. Background Art

[0002] A linear accelerator generally refers to an accelerator that uses high-frequency electromagnetic fields for acceleration, and the movement trajectory of the accelerated particles is a straight line. A high-frequency linear accelerator, abbreviated as a linear accelerator, is a device that accelerates charged particles using high-frequency electric fields distributed along a straight track. According to the types of accelerated particles, it can be divided into electron linear accelerators, proton linear accelerators, heavy-ion linear accelerators, superconducting linear accelerators, etc.

[0003] The accelerator consists of three high columns made of insulating materials and an accelerator tube in the middle. The accelerator maintains a vacuum by a vacuum pump and has a streamlined exterior, not only for aesthetics but also to prevent accidental discharges from any corners or protrusions. There are metal rings in the accelerator tube, and the way they are connected to the high-voltage generator enables the negative pressure of a series of metal rings to gradually increase from the bottom to the top. The ion source for producing protons is installed at the upper end of the accelerator tube.

[0004] When implementing most of the existing beam tuning methods for linear accelerators, generally, the beam energy parameters of the linear accelerator are first obtained, the beam energy parameters are processed through a preset autoencoder model to obtain target beam tuning parameters, and the parameters of the linear accelerator are adjusted based on the target beam tuning parameters to adjust the magnetic induction intensity in the linear accelerator, thereby achieving beam tuning for the linear accelerator.

[0005] The preset autoencoder model is obtained by training an initial autoencoder model based on a training sample set. The training sample set includes a number of training sample pairs composed 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 realizes the determination of target beam tuning parameters based on beam energy parameters through the mutual cooperation of a preset autoencoder model and modules such as a decoder, and can perform parameter adjustment on the linear accelerator based on the target beam tuning parameters to achieve the purpose of beam tuning, it is not limited by the physical knowledge and experience of technicians and improves the beam tuning efficiency.

[0007] However, before optimizing the beam of a linear accelerator based on modules such as a preset auto-encoding model and a decoder, only the beam energy parameters are obtained, and the beam energy parameters are processed based on the preset auto-encoding model to obtain optimized beam energy parameters, which are then applied to the linear accelerator to optimize the beam of the linear accelerator. However, when optimizing the beam of different linear accelerators, it is necessary to obtain the beam energy parameters multiple times and optimize and adjust the beam energy parameters. It is impossible to compare different beam conditions under different parameter conditions of different linear accelerators, resulting in inconvenience in the subsequent process of optimizing the beam of the linear accelerator.

[0008] For this reason, the present invention provides a method for optimizing the beam of a linear accelerator. Summary of the Invention

[0009] In order to make up for the deficiencies of the prior art and solve at least one technical problem proposed in the background art.

[0010] The technical solution adopted by the present invention to solve its technical problems is: A method for optimizing the beam of a linear accelerator according to the present invention includes the following steps:

[0011] S1: Construct a linear accelerator simulation model based on the parameters, appearance, and power parameters of the linear accelerator. Use the linear accelerator simulation model to simulate multiple linear accelerators. Based on the display screen and the controller, complete the display and adjustment of the parameters in the simulated linear accelerator.

[0012] S2: Start the simulated linear accelerator based on the controller, monitor and record the beam conditions and specific data of various parameters for the corresponding beam conditions. Use the controller to adjust the parameters, adjust the beam state according to the parameters, and store the specific data of the control parameters and the beam state.

[0013] S3: Based on the stored multiple different parameters, compare the corresponding parameters with the corresponding beam states, and construct a parameter-beam comparison table based on the comparison results. Based on the parameter-beam comparison table, adjust the beam state of the linear accelerator under different requirements to ensure that the beam matches the requirements of the linear accelerator.

[0014] S4: Simulate different linear accelerators based on the linear accelerator simulation model, and use the controller and the display screen to control the simulation models of different linear accelerators and record the parameters of the simulation models of different linear accelerators to generate a parameter-beam comparison table for different linear accelerators.

[0015] S5: Subsequently, when optimizing the beam of different linear accelerators, based on the parameter-beam comparison table of different linear accelerators, adjust the parameters of the linear accelerator to optimize the beam condition of the linear accelerator and complete the optimization of the beam of the linear accelerator.

[0016] As a further solution of the present invention: The linear accelerator simulation model is based on data entry, three-dimensional scanning, a display screen, and a controller, and constructs a linear accelerator based on various parameters including but not limited to the appearance and power of the linear accelerator, including:

[0017] Enter the linear accelerator model into the linear accelerator simulation model, and simulate the appearance, power, parameters, and performance of the linear accelerator based on various parameters of the linear accelerator model to simulate different models of linear accelerators.

[0018] As a further solution of the present invention: Construct a linear accelerator based on the parameters of the appearance and power of the linear accelerator, and further include:

[0019] Generate a non-standard linear accelerator appearance model on the display screen based on the three-dimensional scan of the appearance of the non-standard linear accelerator, enter the specific data of the power, parameters, and performance of the non-standard linear accelerator into the linear accelerator simulation model, simulate and generate a non-standard linear accelerator, run the simulated non-standard linear accelerator based on the controller, and operate its beam parameters to optimize the beam state of the non-standard linear accelerator.

[0020] As a further solution of the present invention: Adjust the parameters of the linear accelerator entity based on the parameter and beam comparison table for different linear accelerators, use a Faraday ring to measure the parameters of the beam intensity, position, energy, and emittance in real time, and compare with the measurement data and the parameter and beam comparison table to confirm that the parameters of the simulated linear accelerator are the same as those of the linear accelerator entity, and the intensity, position, energy, and emittance of the simulated linear accelerator and the linear accelerator entity are similar, and detect the reliability of the parameter and beam comparison table.

[0021] As a further solution of the present invention: The measurement data is the parameter data of the beam intensity, position, energy, and emittance 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 emittance of the linear accelerator beam to ensure that the measurement data and various parameters in the parameter and beam comparison table are consistent.

[0022] As a further solution of the present invention: After the linear accelerator entity is started, based on the requirements of the linear accelerator beam orbit, use the overall orbit correction method to further optimize the linear accelerator beam orbit to ensure that the linear accelerator meets different beam orbit requirements. The overall orbit correction method is based on sequentially adjusting each upstream correction sub, taking into account the readings of the downstream BPM, and using the least squares method to obtain the best BPM readings to obtain the best beam orbit.

[0023] As a further solution of the present invention: Based on the linear accelerator simulation model, the magnetic field in the linear accelerator is simulated. The controller is used to adjust the magnet parameters, adjust the magnetic field distribution, obtain the optimal magnetic field conditions, ensure good uniformity of the magnetic field in the beam transmission area, ensure that the magnetic field of the linear accelerator is in the optimal conditions during the simulation of the beam line, and generate a magnet parameter comparison table according to the optimal parameters of different magnets.

[0024] As a further solution of the present invention: Based on the parameter-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 fields generated by different magnets in the linear accelerator to ensure the authenticity of the magnetic fields generated by the linear accelerator simulation model for different magnets.

[0025] As a further solution of the present invention: Based on the linear accelerator simulation model, the corresponding linear accelerator is presented. The linear accelerator is provided with compensation coils. For the interference to the magnetic field during the operation of the linear accelerator, the magnet parameters are automatically adjusted to maintain the magnetic field uniformity. A monitoring unit is provided in the linear accelerator to monitor the magnetic field uniformity in real time, and an alarm unit is externally connected.

[0026] As a further solution of the present invention: The data entry includes data acquisition, data preprocessing, data de-noising, and final data entry. The data acquisition is to acquire the internal component parameters of the non-standard linear accelerator. Based on the data preprocessing, the component parameters are normalized to adjust the data format to be consistent with the data format required by the linear accelerator simulation model. The data de-noising is to remove the impurities in the normalized data.

[0027] The beneficial effects of the present invention are as follows:

[0028] 1. For the beam optimization method of the linear accelerator described in the present invention, different linear accelerators are truly simulated based on the linear accelerator simulation model, and the simulated linear accelerator is displayed using a display screen. The controller is used to control the simulated linear accelerator, adjust different parameters, record the states of the beam under different parameters, and at the same time store the recorded parameters in comparison with the beam states to generate a parameter-beam comparison table. During the subsequent beam optimization of the linear accelerator, based on the data in the parameter-beam comparison table, the beam condition of the linear accelerator is optimized, and the beam state of the linear accelerator is adjusted, so as to complete the beam optimization of the linear accelerator.

[0029] 2. A beam optimization method for a linear accelerator according to the present invention, based on three-dimensional scanning and data entry, processes various parameters of a non-standard linear accelerator and enters them into a linear accelerator simulation model. The non-standard linear accelerator is simulated using the linear accelerator simulation model, and the parameters in the non-standard linear accelerator are compared and saved with the beam state, so that the linear accelerator simulation model can simulate different models of linear accelerators and optimize the beam of different linear accelerators according to the parameters and beam state;

[0030] 3. A beam optimization method for a linear accelerator according to the present invention, based on the mutual cooperation of the measurement data of the Faraday ring and the parameter-beam comparison table, tests the beam state of the physical linear accelerator and the simulated linear accelerator under the same parameters, ensuring the authenticity of the simulation of the linear accelerator by the linear accelerator simulation model and the accuracy of the data, so as to ensure the stability of the subsequent beam optimization of the linear accelerator according to the parameter-beam comparison table, reduce the complexity of the linear accelerator optimization, and thus make the beam optimization of the linear accelerator not limited to the physical knowledge and experience of technicians, improving the beam tuning efficiency;

[0031] 4. A beam optimization method for a linear accelerator according to the present invention, based on the setting of the overall orbit correction method, adjusts the orbit of the linear accelerator beam during the optimization process of the linear accelerator, further optimizes the linear accelerator beam, and adjusts the magnet parameters based on the magnet parameter comparison table by simulating the magnet and the magnetic field, facilitating the technicians to optimize the linear accelerator beam and improving the efficiency of the linear accelerator beam optimization. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] The present invention will be further described below with reference to the accompanying drawings.

[0033] Figure 1 is a flowchart of the present invention;

[0034] Figure 2 is a flowchart of the beam optimization of the linear accelerator in the present invention;

[0035] Figure 3 is a flowchart of the generation of the parameter-beam comparison table in the present invention;

[0036] Figure 4 is a flowchart of the generation of the magnet parameter comparison table in the present invention;

[0037] Figure 5 is a decision block diagram of the magnetic field change and compensation in the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0038] In order to make the technical means, creative features, achieved purposes and effects realized by the present invention easy to understand, the present invention will be further described below in conjunction with specific embodiments.

[0039] The present invention provides a method for optimizing the beam of a linear accelerator. Referring to Figure 1 - Figure 5 , the present invention provides three embodiments:

[0040] Embodiment 1:

[0041] It includes the following steps:

[0042] S1: Based on the parameters, appearance, and power parameters of the linear accelerator, construct a linear accelerator simulation model. Use the linear accelerator simulation model to simulate the linear accelerator. Based on the display screen and the controller, complete the display and adjustment of the parameters in the simulated linear accelerator.

[0043] S2: Based on the controller, start the simulated linear accelerator, monitor the corresponding beam conditions, record the beam conditions and the specific data of the parameters, use the controller to adjust the parameters, adjust the beam state according to the parameters, and store the specific data of the control parameters and the beam state.

[0044] S3: Based on the stored different parameters, compare the corresponding parameters with the corresponding beam states, and construct a parameter-beam comparison table based on the comparison results. Based on the parameter-beam comparison table, adjust the beam states under different requirements of the linear accelerator to ensure that the beam matches the requirements of the linear accelerator.

[0045] S4: Based on the linear accelerator simulation model, simulate different linear accelerators, and use the controller and the display screen to control the simulation models of different linear accelerators and record the parameters of different linear accelerator simulation models, generating a parameter-beam comparison table for different linear accelerators.

[0046] S5: Subsequently, for the beams of different linear accelerators, based on the parameter-beam comparison tables of different linear accelerators, adjust the parameters of the linear accelerator, optimize the beam conditions of the linear accelerator, and complete the optimization of the linear accelerator beam.

[0047] The linear accelerator simulation model is based on data entry, 3D scanning, a display screen, and a controller. Based on parameters including but not limited to the appearance and power of the linear accelerator, a linear accelerator is constructed, including:

[0048] Enter the linear accelerator model into the linear accelerator simulation model. Based on various parameters of the linear accelerator model, simulate the appearance, power, parameters, and performance of the linear accelerator. Simulate different models of linear accelerators. The parameters and power of linear accelerators of the same model are the same. Therefore, during the simulation of linear accelerators of the same model in the linear accelerator simulation model, directly retrieve various parameters of existing models of linear accelerators and complete the simulation, making it more convenient for the linear accelerator simulation model to simulate existing linear accelerators.

[0049] Data entry includes data acquisition, data preprocessing, data de-noising, and final data entry. Data acquisition is to obtain the internal component parameters of a 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. Data de-noising is to remove impurities from the normalized data. Based on the mutual cooperation of data preprocessing and data de-noising, normalize the parameters and appearance data of the non-standard linear accelerator, enabling the data to run in the linear accelerator simulation model and facilitating the linear accelerator simulation model to record the parameters of the non-standard linear accelerator.

[0050] Construct a linear accelerator based on the parameters of the linear accelerator appearance and power, and also include:

[0051] Generate the appearance model of the non-standard linear accelerator on the display screen based on the three-dimensional scan of the appearance of the non-standard linear accelerator. Enter the specific data of the power, parameters, and performance of the non-standard linear accelerator into the linear accelerator simulation model to simulate the generation of the non-standard linear accelerator. Run the simulated non-standard linear accelerator based on the controller and operate its beam parameters 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 state, making it more convenient for subsequent technicians to optimize the beam of the non-standard linear accelerator and improving the efficiency of beam tuning of the non-standard linear accelerator.

[0052] Embodiment 2: Based on Embodiment 1, further, different linear accelerators adjust the parameters of the linear accelerator entity based on the parameter and beam current comparison table. The Faraday ring is used to measure the parameters of the beam current intensity, position, energy, and emission rate in real time, and based on the measured data and the comparison with the parameter and beam current comparison table, it is confirmed that the parameters of the simulated linear accelerator are the same as those of the linear accelerator entity, and the intensity, position, energy, and emission rate of the simulated linear accelerator are similar to those of the linear accelerator entity. The trustworthiness of the parameter and beam current comparison table is detected. After ensuring that the parameters of the simulated linear accelerator are consistent with those of the linear accelerator entity, the 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 current state in the linear accelerator simulation model, ensuring the authenticity and trustworthiness of the parameters and the beam current state, so that the parameters for subsequent beam current optimization of the linear accelerator are more accurate.

[0053] The measured data are the parameter data of the beam current intensity, position, energy, and emission rate of the linear accelerator. The parameter and beam current comparison table includes the model of the linear accelerator, various parameters of the linear accelerator, and the intensity, position, energy, and emission rate of the beam current of the linear accelerator. Ensuring the consistency of the measured data and the parameters in the parameter and beam current comparison table guarantees the consistency of the measured data and the parameters in the parameter and beam current comparison table, facilitating the subsequent comparison between the linear accelerator and the simulated linear accelerator, and thus more conveniently detecting whether the linear accelerator simulation model is applicable to the linear accelerator entity.

[0054] Embodiment 3: Based on Embodiment 1 and Embodiment 2, further, after the linear accelerator entity is started, based on the beam current orbit requirements of the linear accelerator, the overall orbit correction method is used to further optimize the beam current orbit of the linear accelerator to ensure that the linear accelerator meets different beam current orbit requirements. The overall orbit correction method is based on sequentially adjusting each upstream correction sub, taking into account the readings of the downstream BPM, and using the least squares method to obtain the best BPM readings to obtain the best beam current orbit.

[0055] Let the off-axis of the beam current at the L-th BPM before correction be , and since the correction amount of the j-th correction sub at this BPM is , where is the transfer matrix between the BPM and the correction sub, and is the correction intensity of this correction sub.

[0056] Define the parameter S as , and based on = 0, the optimal orbit offset is obtained, so that when the number of correction subs and BPMs in the linear accelerator is sufficient, the overall orbit of the beam current in the linear accelerator is corrected.

[0057] Based on the simulation model of the linear accelerator, the magnetic field in the linear accelerator is simulated. The controller is used to adjust the magnet parameters to adjust the magnetic field distribution, obtain the optimal magnetic field conditions, ensure good uniformity of the magnetic field in the beam transmission area, ensure that the magnetic field of the linear accelerator is in the optimal conditions during the simulation of the beam line, and generate a magnet parameter comparison table based on the optimal parameters of different magnets. Based on the simulation of the magnets and the magnetic field in the linear accelerator, the optimal magnetic field conditions are obtained, the uniformity of the magnetic field is ensured, and the parameters of the magnetic field conditions are applied to the linear accelerator entity, so that it is more convenient to optimize the beam of the linear accelerator entity. And through the setting of the magnet parameter comparison table, it is more convenient for technicians to debug the magnetic field during the beam optimization of linear accelerators with different magnets, thus facilitating the beam optimization of linear accelerators with different magnets by technicians.

[0058] Based on the parameter-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 fields generated by different magnets in the linear accelerator to ensure the authenticity of the magnetic fields generated by the linear accelerator simulation model for different magnets.

[0059] Based on the linear accelerator simulation model, the corresponding linear accelerator is presented. The linear accelerator is provided with compensation coils. For the interference to the magnetic field during the operation of the linear accelerator, the magnet parameters are automatically adjusted to maintain the magnetic field uniformity. A monitoring unit is provided in the linear accelerator to monitor the magnetic field uniformity in real time, and an alarm unit is externally connected. Based on the compensation coils, during the operation of the linear accelerator, due to the influence of various situations, the magnetic field uniformity may change. Therefore, the magnetic field is adjusted through the compensation coils to maintain the magnetic field uniformity. Based on the setting of the detection unit, the magnetic field is monitored in real time. When the magnetic field uniformity changes, an alarm is given through the alarm unit, enabling technicians to more timely discover the change in the magnetic field uniformity and avoid excessive influence on the use of the linear accelerator due to the change in the magnetic field uniformity.

[0060] The above front, back, left, right, up, and down are all based on Figure 1 in the accompanying drawings of the specification. According to the standard of the observer's viewing angle, the side of the device facing the observer is defined as the front, and the left side of the observer is defined as the left, and so on.

[0061] In the description of the present invention, it should be understood that the orientation or positional relationships indicated by the terms "center", "longitudinal", "transverse", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc. are based on the orientation or positional relationships shown in the 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 construed as limiting the protection scope of the present invention.

[0062] The foregoing has shown and described the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments, and what is described in the above embodiments and the specification is only to illustrate the principle of the present invention. Without departing from the spirit and scope of the present invention, the present invention will also have various changes and improvements, and these changes and improvements fall within the scope of the present invention claimed. The scope of the present invention claimed is defined by the appended claims and their equivalents.

Claims

1. A beam tuning method for a linear accelerator, characterized in that: It includes the following steps: S1: Based on the specific data of the appearance, power, and performance of the existing linear accelerator, construct a linear accelerator simulation model. Use the linear accelerator simulation model to simulate the linear accelerator, and based on the display screen and the controller, complete the display and adjustment of the linear accelerator model; S2: Start the linear accelerator model based on the controller, monitor the corresponding beam situation, record the specific data of the beam situation, and use the controller to control the linear accelerator model, thereby adjusting the beam state of the linear accelerator model, and storing the specific data for controlling the linear accelerator model and the beam state; S3: Based on the stored data of different linear accelerator models, compare the corresponding linear accelerator model data with the corresponding beam state, and construct a parameter-beam comparison table based on the comparison situation. Based on the parameter-beam comparison table, adjust the beam state of the linear accelerator model under different requirements to ensure that the beam matches the requirements of the linear accelerator; S4: Simulate different linear accelerators based on the linear accelerator simulation model, and use the controller and the display screen to control different linear accelerator models and record the data of different linear accelerator models, generating a parameter-beam comparison table for different linear accelerators; S5: Subsequently, for the beams of different linear accelerators, based on the parameter-beam comparison tables of different linear accelerators, adjust the data of the linear accelerators, optimize the beam conditions of the linear accelerators, and complete the beam optimization of the linear accelerators.

2. The beam tuning method of a linear accelerator according to claim 1, characterized in that: The linear accelerator simulation model is based on data entry, three-dimensional scanning, a display screen, and a controller. Based on the data of the appearance and power of the linear accelerator, a linear accelerator model is constructed, including: Enter the linear accelerator model into the linear accelerator simulation model, and simulate the appearance, power, and performance of the linear accelerator based on the inherent data of the linear accelerator model to generate different linear accelerator models.

3. A beam optimization method for a linear accelerator according to claim 2, characterized in that: Based on the data of the appearance and power of the linear accelerator, constructing a linear accelerator model further includes: Generate a non-standard linear accelerator appearance model on the display screen based on the three-dimensional scanning of the appearance of the non-standard linear accelerator, enter the specific data of the power and performance of the non-standard linear accelerator into the linear accelerator simulation model, simulate and generate a non-standard linear accelerator model, run the non-standard linear accelerator model based on the controller, and operate its beam parameters to optimize the beam state of the non-standard linear accelerator.

4. A beam optimization method for a linear accelerator according to claim 3, characterized in that: For different linear accelerators, adjust various data during the operation of the linear accelerator based on the parameter-beam comparison table. Use a Faraday ring to measure the intensity, position, energy, and emittance of the beam in real time, and compare the measurement data with the parameter-beam comparison table to confirm that the intensity, position, energy, and emittance are similar when the linear accelerator model and the physical parameters of the linear accelerator are the same, and detect the trustworthiness of the parameter-beam comparison table.

5. A beam tuning method for a linear accelerator according to claim 4, characterized in that: The measurement data is used to measure the intensity, position, energy, and emittance of the linear accelerator beam. The parameter-beam comparison table includes the model of the linear accelerator, the body data of the linear accelerator, and the intensity, position, energy, and emittance of the linear accelerator beam to ensure that the data in the measurement data and the parameter-beam comparison table are consistent.

6. A beam optimization method for a linear accelerator according to claim 4, characterized in that: After the linear accelerator entity is started, based on the beam orbit requirements of the linear accelerator, the overall orbit correction method is used to further optimize the beam orbit of the linear accelerator to ensure that the linear accelerator meets different beam orbit requirements. The overall orbit correction method is based on sequentially adjusting each corrector upstream, taking into account the readings of the downstream BPM, and using the least squares method to obtain the optimal BPM readings to obtain the optimal beam orbit.

7. A beam tuning method for a linear accelerator according to claim 6, characterized in that: Based on the linear accelerator simulation model, the magnetic field in the linear accelerator is simulated. The controller is used to adjust the magnetic field of the magnet, 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 conditions during the simulation of the beam line, and generate a magnet parameter comparison table based on the optimal magnetic field data of different magnets.

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

9. A beam tuning method for a linear accelerator according to claim 7, characterized in that: Based on the linear accelerator simulation model, the corresponding linear accelerator model is presented. The linear accelerator model is provided with compensation coils. For the interference generated by the linear accelerator model during operation on the magnetic field, the magnetic field data of the magnet is automatically adjusted to maintain the magnetic field uniformity. The linear accelerator model is provided with a monitoring unit to monitor the magnetic field uniformity in real time and is externally connected with an alarm unit.

10. A beam tuning method for a linear accelerator according to claim 3, characterized in that: The data entry includes data acquisition, data preprocessing, data de-noising, and final data entry. The data acquisition is to acquire the data of the internal components of the non-standard linear accelerator. Based on the data preprocessing, the component data is normalized to adjust the data format to be consistent with the data format required by the linear accelerator simulation model. The data de-noising is to remove the impurities in the normalized data.

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