Simulated analysis method, system, device and medium for earth magnetosphere optical imaging

Abstract

This invention relates to the field of simulation computing, and in particular to a simulation analysis method, system, device, and medium for optical imaging of the Earth's magnetosphere. The method includes: reading geomagnetic plasma data in a preset format; determining the type of geomagnetic radiation simulation based on at least one plasma parameter type input by the user; and performing radiation simulation calculations using the geomagnetic plasma data according to the type of geomagnetic radiation simulation, thereby obtaining and visualizing an optical image of the geomagnetic space. By accurately simulating optical imaging of radiation at different wavelengths in the geomagnetic space, long-term observation of the same geomagnetic region can be performed, resulting in a geomagnetic optical image with a large field of view and fast response time. It can dynamically display the temporal and spatial morphological changes of the geomagnetic plasma layer, thus facilitating the study and analysis of the global matter and energy transport characteristics of the geomagnetic space.

Description

Technical Field

[0001] This invention relates to the field of simulation computing technology, and in particular to a simulation analysis method, system, computer device, and readable storage medium for optical imaging of the Earth's magnetosphere. Background Technology

[0002] The Earth's magnetosphere has a volume exceeding 30R. E ×30R E ×50R E (R E R is the Earth's radius, 1R E =6371km), within this geosphere, from the magnetosheath to the plasmasphere, in most of the magnetospheric space, plasmas of different characteristics exhibit their characteristic optical radiation. The Earth's plasmasphere is an important component of the inner magnetosphere, mainly composed of low-energy dense plasma that rotates with the Earth, and its main ionic component is H. + Secondly, He + and O + The plasmasphere is roughly shaped like a planet with a maximum geocentric distance of approximately 5R. E The plasmasphere is a rotating body formed by the complete rotation of one of Earth's dipole magnetic field lines. The ions in the plasmasphere primarily originate from ascending ions in the mid-to-low latitude ionosphere trapped by the magnetic field, with a typical electron density of 10⁻¹⁰. 4 cm -3 The energy is below 1–2 eV, and the temperature is 3000–5000 K. The plasma layer particle density decreases logarithmically with increasing height, ranging from 3 to 6R. E The outer boundary where the density sharply decreases is called the plasmapause, where the ion / electron density is typically less than 1R. E The number of protons decreases by 1–2 orders of magnitude within the range of plasmaspheres. Typically, there are several hundred protons per cubic centimeter inside the plasmasphere and only a few protons per cubic centimeter outside the plasmasphere.

[0003] Traditional in-situ observations of magnetic fields and particles are difficult to capture the full picture of matter and energy transport, and it is also difficult to separate the temporal and spatial information of the dynamic changes of plasma in the Earth's magnetosphere. This limits people's research on global coupling characteristics and makes it impossible to accurately simulate radiation of different wavelengths in the Earth's magnetosphere (especially the plasmasphere) over a long period of time. Consequently, it is not convenient to study and analyze the global matter and energy transport characteristics in the Earth's magnetosphere. Summary of the Invention

[0004] To address the aforementioned problems in the prior art, this invention provides a simulation analysis method and system for optical imaging of the Earth's magnetosphere. By accurately simulating optical imaging of radiation at different wavelengths in the Earth's magnetosphere, it is possible to perform long-term staring observations of the same region of the Earth's magnetosphere, obtaining optical images of the Earth's magnetosphere with a large field of view and fast response time. At the same time, it obtains the temporal and spatial variations of its spatial environmental parameters, thereby contributing to the study and understanding of the global material and energy transport characteristics of the Earth's magnetosphere.

[0005] This invention provides a simulation analysis method for optical imaging of the Earth's magnetosphere, comprising the following steps:

[0006] Read space plasma data from the Earth's magnetosphere in a preset format;

[0007] The type of radiation simulation of the Earth's magnetosphere is determined based on at least one plasma parameter type input by the user.

[0008] Based on the radiation simulation type of the Earth's magnetosphere, radiation simulation calculations are performed using the space plasma data of the Earth's magnetosphere, resulting in corresponding optical images of the Earth's magnetosphere and visualization.

[0009] Furthermore, the Earth's magnetosphere includes a magnetosheath region, a plasmasphere region, and a pole tip region.

[0010] Furthermore, the types of radiation simulations of the Earth's magnetosphere include extreme ultraviolet radiation simulation, X-ray radiation simulation, and resonant scattering simulation.

[0011] Furthermore, the method also includes:

[0012] Density inversion is performed on the plasmasphere region based on the optical image of the Earth's magnetosphere to obtain the plasmasphere density distribution in the Earth's magnetosphere.

[0013] Furthermore, the step of performing density inversion on the plasmasphere region based on the optical image of the Earth's magnetosphere to obtain the plasmasphere density distribution in the Earth's magnetosphere specifically includes:

[0014] Acquire optical image data of the plasmasphere region in the Earth's magnetosphere;

[0015] Based on the optical image data of the plasmasphere region, the location of the plasmapause in the Earth's magnetosphere is identified and inverted;

[0016] Based on this, a genetic algorithm is used to perform optimization search iteration on the optical image data to obtain the plasma layer density distribution that best matches the intensity distribution of the plasma optical image, and it is stored in a pre-constructed plasma layer density distribution database.

[0017] Furthermore, the step of using a genetic algorithm to perform optimization search iterations on the optical image data specifically includes:

[0018] Read in optical image data of the plasmasphere;

[0019] Set the genetic algorithm parameters, including the genetic population size, chromosome size, mutation probability, maximum number of iterations, and target fitness value;

[0020] Calculate the weight matrix of the ray integral in the optical image data of the plasmasphere;

[0021] An initial population is randomly generated, and the optimization process for each genetic iteration begins based on the weight matrix of the light integral.

[0022] Furthermore, the preset format of the Earth's magnetosphere space plasma data includes plasma data in txt text format, sav file format, and NetCDF format.

[0023] To address the aforementioned problems in the prior art, the present invention also provides a simulation and analysis system for optical imaging of the Earth's magnetosphere, comprising:

[0024] The reading module is used to read space plasma data of the Earth's magnetosphere in a preset format;

[0025] The judgment module is used to determine the type of radiation simulation of the Earth's magnetosphere based on at least one plasma parameter type input by the user;

[0026] The simulation calculation module is used to perform radiation simulation calculations using the space plasma data of the Earth's magnetosphere according to the radiation simulation type of the Earth's magnetosphere, and to obtain and visualize the corresponding optical image of the Earth's magnetosphere.

[0027] To address the aforementioned problems in the prior art, the present invention also provides a computer device, comprising at least one processor, at least one memory, and a data bus; wherein: the processor and the memory communicate with each other via the data bus; the memory stores a program executed by the processor to implement the simulation analysis method for optical imaging of the Earth's magnetosphere.

[0028] The present invention also provides a computer-readable storage medium storing computer-readable instructions, which, when executed by a processor, implement the steps of the simulation analysis method for optical imaging of the Earth's magnetosphere.

[0029] Compared with the prior art, the present invention has at least the following beneficial effects:

[0030] 1. By accurately simulating optical imaging of radiation at different wavelengths in the Earth's magnetosphere, it is possible to conduct long-term staring observations of the same region of the Earth's magnetosphere, obtaining optical images of the Earth's magnetosphere with a large field of view and fast response time.

[0031] 2. By displaying, processing, identifying and inverting the plasmapause, and inverting the density distribution of accurately simulated optical images of different wavelengths, the morphological changes of the Earth's magnetosphere plasma layer in time and space can be dynamically displayed, which facilitates the study and analysis of the global material and energy transport characteristics of the Earth's magnetosphere. Attached Figure Description

[0032] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present invention and should not be regarded as a limitation on the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0033] Figure 1 This is a schematic flowchart of a simulation analysis method for optical imaging of the Earth's magnetosphere provided in an embodiment of the present invention;

[0034] Figure 2 This is a schematic diagram of the process of performing density inversion on the plasma layer region based on the optical image of the Earth's magnetosphere space in an embodiment of the present invention to obtain the plasma layer density distribution of the Earth's magnetosphere space;

[0035] Figure 3 This is a schematic diagram of the process of using a genetic algorithm to perform optimization search iteration on the optical image data in an embodiment of the present invention;

[0036] Figure 4 This is a schematic diagram of the structure of a simulation analysis system for optical imaging of the Earth's magnetosphere provided in an embodiment of the present invention;

[0037] Figure 5 This is a schematic diagram of the structure of a computer device provided by the present invention. Detailed Implementation

[0038] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0039] Example 1:

[0040] like Figure 1 As shown, this embodiment of the invention provides a simulation analysis method for optical imaging of the Earth's magnetosphere, comprising the following steps:

[0041] S101. Read the Earth's magnetosphere space plasma data in a preset format.

[0042] Among them, the preset format of the Earth's magnetosphere space plasma data includes plasma data in txt text format, sav file format and NetCDF format, which can be judged and read according to the file extension.

[0043] For txt text files, the data format is as follows:

[0044] The first line of data contains three positive integers Nx, Ny, and Nz separated by three spaces, representing the number of grid points in the X, Y, and Z directions of space.

[0045] The second row of data: X coordinates, number of which is Nx;

[0046] The third row of data: Y-coordinate, with a quantity of Ny;

[0047] The fourth row of data is the Z-coordinate, with a quantity of Nz.

[0048] From the fifth line onwards: Plasma parameter data. For the charge-exchange collisional radiation mechanism (CX), at least three three-dimensional matrices are required, namely plasma density, plasma velocity, and plasma temperature. For the resonant scattering mechanism, only plasma density data is required.

[0049] For the sav format, the data storage variable name is: Nx, Ny, Nz, X, Y, Z, PlasmaData (this matrix is ​​set to Nx×Ny×Nz×N dimensions, where N represents the number of variables, and the order is density, velocity, temperature).

[0050] NetCDF format files are self-parsing and can clearly identify variable names and types based on attribute information.

[0051] S102. Determine the radiation simulation type of the Earth's magnetosphere based on at least one plasma parameter type input by the user.

[0052] In this embodiment of the invention, the Earth's magnetosphere includes a magnetosheath region, a plasmasphere region, and a cusp region. The radiation simulation types for the Earth's magnetosphere include extreme ultraviolet radiation simulation, X-ray radiation simulation, and resonant scattering simulation, among other radiation simulations of different wavelengths. Specifically, the He content of the magnetosheath region and the cusp region of the Earth's magnetosphere... 2+ 30.4 nm extreme ultraviolet radiation generated by charge collision exchange, O 7+ and C 6+X-ray radiation generated by the collision and exchange of heavy ion charges in the solar wind is produced by the plasma layer He + Resonant scattering of 30.4 nm solar radiation and O from the magnetosphere and ionosphere + Resonant scattering of the sun's 83.4nm radiation.

[0053] S103. Based on the radiation simulation type of the Earth's magnetosphere, radiation simulation calculations are performed using the Earth's magnetosphere space plasma data to obtain and visualize the corresponding optical image of the Earth's magnetosphere space.

[0054] In this embodiment of the invention, users can input multiple plasma parameter types and set virtual camera parameters (such as camera position, viewing angle, coordinate system, etc.) through the software interface according to their needs. The software automatically determines the type of radiation spectrum to be simulated based on the input plasma parameter types, and then performs simulation calculations on the read Earth's magnetosphere plasma data for various wavelengths of radiation. The optical image of the Earth's magnetosphere obtained from the simulation calculation is then visualized and displayed on the software interface according to the virtual camera parameter settings. In addition, two points can be selected on the optical image of the Earth's magnetosphere displayed on the software interface to automatically connect them into a line, and intensity distribution maps at different field angles along the direction of the line can be drawn.

[0055] By selecting multiple plasma parameter types and setting virtual camera parameters, and performing simulation calculations based on Earth's magnetosphere plasma data, optical images and visualizations of the Earth's magnetosphere can be obtained. This can accurately simulate optical images of different wavelengths in the magnetosphere observed from any virtual satellite position in space, with user-defined resolutions. It can also perform long-term staring observations of the same region in the Earth's magnetosphere, obtaining optical images of the Earth's magnetosphere with a large field of view and fast response time. This can better assist in the design of space optical imaging engineering missions and in the inversion and interpretation of scientific images.

[0056] S104. Based on the optical image of the Earth's magnetosphere, perform density inversion on the plasmasphere region to obtain the plasmasphere density distribution of the Earth's magnetosphere.

[0057] Furthermore, such as Figure 2 As shown, step S104, which involves performing density inversion on the plasmasphere region based on the optical image of the Earth's magnetosphere to obtain the plasmasphere density distribution in the Earth's magnetosphere, specifically includes:

[0058] S1041. Obtain optical image data of the plasmasphere region in the Earth's magnetosphere;

[0059] S1042. Based on the optical image data of the plasmasphere region, the location of the plasmapause in the Earth's magnetosphere is identified and inverted.

[0060] S1043. Based on this, a genetic algorithm is used to perform optimization search iteration on the optical image data to obtain the plasma layer density distribution that best matches the intensity distribution of the plasma optical image, and it is stored in a pre-constructed plasma layer density distribution database.

[0061] In this embodiment of the invention, the optical image files (including optical image data of the plasmasphere region) of the Earth's magnetosphere are all standard format data files with self-resolving internal variable structures, such as PDS format, FITS format, or ASCII format text data. Regardless of the data format, the optical image data files of the Earth's magnetosphere should contain at least, but not limited to, the following information: image capture (or generation) time, image capture location, image exposure time, image center ray vector, scientific image (two-dimensional matrix), pixel size, camera focal length, and other image-related information. An example of the variable information arrangement in an ASCII format file is as follows:

[0062] The first row of data: i6,i6,i6,i6,i6 — represents the image X size, Y size, geocentric X coordinate, geocentric Y coordinate, and Earth pixel size, respectively;

[0063] The second line of data: YYYY MM DD HH MM SS, represents the following:

[0064] YYYY MM DD HH MM SS MM — The start time of image capture (UTC), YYYY represents year, MM represents month, DD represents day, HH represents hour, MM represents minute, and SS represents second;

[0065] f10.5, f10.5, f10.5 — represent the camera's X, Y, and Z coordinates in the SM coordinate system, respectively, in RE units;

[0066] 9f12.8 – Nine values ​​representing the matrix elements of the transformation matrix between the camera coordinate system and the SM coordinate system; the remaining data are X-dimensional and Y-dimensional matrices, representing the radiation intensity distribution of the plasmasphere optical image.

[0067] The optical image data of the plasmasphere region is read into the software interface, and the intensity distribution along the line connecting the image center to the mouse click point is plotted. The boundary of the plasmapause is determined by the boundary where the intensity decreases sharply on the distribution curve. The plasmapause boundary is extracted and projected onto the magnetic equatorial plane. Curve control parameters can be input on the software interface, and a global spline function is fitted to the projected plasmapause position to obtain a smooth plasmapause curve. Finally, the location of the plasmapause in the Earth's magnetosphere is identified and inverted.

[0068] After obtaining the location of the plasmapause in the Earth's magnetosphere, this information will be used as an aid to invert the plasmasphere density distribution using a genetic algorithm. Specifically, the genetic algorithm will be used to perform an optimization search iteration on the optical image data to obtain the plasmasphere density distribution that best matches the intensity distribution of the plasma optical image, such as... Figure 3 As shown, it includes the following steps:

[0069] S10431, Read in optical image data of the plasmasphere;

[0070] S10432. Set the genetic algorithm parameters, including the genetic population size, chromosome size, mutation probability, maximum number of iterations, and target fitness value;

[0071] S10433, Calculate the weight matrix of the ray integral in the optical image data of the plasmasphere;

[0072] S10434. Randomly generate an initial population, and start the optimization process for each genetic iteration based on the weight matrix of the light integral.

[0073] In this embodiment of the invention, reading plasmaspheric optical image data and setting relevant parameters of the genetic algorithm in the above-mentioned software interface includes:

[0074] Genetic population size (Size of Population@Np): 200

[0075] Chromosome size (Nd): 0.90, 1.80 (two-dimensional)

[0076] Probability of Mutation (Pm): 0.05

[0077] Maximum Iterations@G: 2000

[0078] Target Fitness Value@e: 0.01.

[0079] After setting the parameters, the weight matrix of the ray integral in the optical image data is calculated. Here, using parameters such as camera position, coordinate system, resolution, and focal length from the input data, the ray integral matrix element corresponding to each pixel in the optical image is calculated. This matrix element is fixed in each genetic iteration, so it is calculated and stored in memory first. After randomly generating the initial population, the optimization process for each genetic iteration begins based on the weight matrix of the ray integral. After completion, the plasma density distribution that best matches the intensity distribution of the plasma optical image is displayed in the software interface and stored in a pre-built plasma density distribution database.

[0080] By displaying accurately simulated optical images of different wavelengths, performing image processing, identifying and inverting the plasmapause, and retrieving density distribution, the morphological changes of the Earth's magnetosphere plasma layer in time and space can be dynamically displayed, thus facilitating the study and analysis of the global material and energy transport characteristics of the Earth's magnetosphere.

[0081] Example 2:

[0082] like Figure 4 As shown, this embodiment of the invention also provides a simulation analysis system for optical imaging of the Earth's magnetosphere. Specifically, the simulation analysis system for optical imaging of the Earth's magnetosphere includes:

[0083] Reading module 1 is used to read space plasma data of the Earth's magnetosphere in a preset format;

[0084] Module 2 is used to determine the type of radiation simulation of the Earth's magnetosphere based on at least one plasma parameter type input by the user;

[0085] The simulation calculation module 3 is used to perform radiation simulation calculations using the space plasma data of the Earth's magnetosphere according to the radiation simulation type of the Earth's magnetosphere, and to obtain and visualize the corresponding optical image of the Earth's magnetosphere.

[0086] The system also includes a density inversion module 4, which is used to perform density inversion on the plasmasphere region based on the optical image of the Earth's magnetosphere space to obtain the plasmasphere density distribution of the Earth's magnetosphere space.

[0087] The simulation analysis system for Earth magnetospheric optical imaging in this embodiment of the invention can be used in the simulation analysis method for Earth magnetospheric optical imaging to implement the steps of the method and bring corresponding beneficial effects. To avoid repetition, it will not be described again here.

[0088] Example 3:

[0089] Please see Figure 5This invention also provides a computer device, which includes a memory 5, a processor 6, and a network interface 7 that are communicatively connected to each other via a data bus. It should be noted that only a computer device with components 5-7 is shown in the figures; however, it should be understood that it is not required to implement all the shown components, and more or fewer components can be implemented instead. Those skilled in the art will understand that the computer device described here is a device capable of automatically performing numerical calculations and / or information processing according to pre-set or stored instructions, and its hardware includes, but is not limited to, microprocessors, application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), digital signal processors (DSPs), embedded devices, etc.

[0090] The computer device can be a desktop computer, laptop, handheld computer, or cloud server, etc. The computer device can interact with the user via a keyboard, mouse, remote control, touchpad, or voice control.

[0091] The memory 5 includes at least one type of readable storage medium, including flash memory, hard disk, multimedia card, card-type memory (e.g., SD or DX memory), random access memory (RAM), static random access memory (SRAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), programmable read-only memory (PROM), magnetic memory, disk, optical disk, etc. In some embodiments, the memory 5 may be an internal storage unit of the computer device, such as the hard disk or memory of the computer device. In other embodiments, the memory 5 may also be an external storage device of the computer device, such as a plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, etc., equipped on the computer device. Of course, the memory 5 may also include both the internal storage unit and the external storage device of the computer device. In this embodiment, the memory 5 is typically used to store the operating system installed on the computer device, various application software, and programs storing simulation analysis methods for geomagnetic optical imaging. The memory 5 may also be used to temporarily store various types of data that have been output or will be output.

[0092] In some embodiments, the processor 6 may be a central processing unit (CPU), controller, microcontroller, microprocessor, or other data processing chip. The processor 6 is typically used to control the overall operation of the computer device. In this embodiment, the processor 6 is used to run a program for a simulation analysis method of Earth's magnetosphere optical imaging stored in the memory 5. The network interface 7 may include a wireless network interface or a wired network interface, which is typically used to establish communication connections between the computer device and other electronic devices.

[0093] The readable storage medium stores a computer program, which contains a program for a simulation analysis method of Earth's magnetosphere optical imaging. The simulation analysis method program can be executed by at least one processor to enable the at least one processor to execute the program such as the simulation analysis method of Earth's magnetosphere optical imaging and realize the functions of the relevant system modules.

[0094] Through the above description of the embodiments, those skilled in the art can clearly understand that the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), and includes several instructions to cause a terminal device (which may be a mobile phone, computer, server, air conditioner, or network device, etc.) to execute the methods and systems described in the embodiments of this application.

[0095] Obviously, the embodiments described above are only some embodiments of this application, not all embodiments. The accompanying drawings show preferred embodiments of this application, but do not limit the patent scope of this application. This application can be implemented in many different forms; rather, the purpose of providing these embodiments is to provide a more thorough and comprehensive understanding of the disclosure of this application. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing specific embodiments, or make equivalent substitutions for some of the technical features. Any equivalent structures made using the content of this application's specification and drawings, directly or indirectly applied to other related technical fields, are similarly within the scope of patent protection of this application.

Claims

1. A simulation analysis method for optical imaging of the Earth's magnetosphere, characterized in that, Includes the following steps: Read space plasma data from the Earth's magnetosphere in a preset format; The type of radiation simulation of the Earth's magnetosphere is determined based on at least one plasma parameter type input by the user. Based on the radiation simulation type of the Earth's magnetosphere, radiation simulation calculations are performed using the space plasma data of the Earth's magnetosphere, resulting in corresponding optical images of the Earth's magnetosphere and visualization. The radiation simulation types for the Earth's magnetosphere include extreme ultraviolet radiation simulation, X-ray radiation simulation, and resonance scattering simulation. Among them, the He² radiation from the magnetosheath region and the pole tip region of the Earth's magnetosphere is simulated. + 30.4 nm extreme ultraviolet radiation generated by charge collision exchange, O 7+ and C 6+ X-ray radiation generated by heavy-ion charge exchange collisions in the solar wind, originating from the plasmasphere He + Resonant scattering of 30.4 nm solar radiation and O from the magnetosphere and ionosphere + The software simulates the resonant scattering of the sun's 83.4nm radiation. Users can input multiple plasma parameter types and set virtual camera parameters (camera position, viewing angle, coordinate system) through the software interface. The software automatically determines the type of radiation spectrum to be simulated based on the input plasma parameter types. It also automatically connects two points on the Earth's magnetosphere spatial optical image displayed on the software interface and plots the intensity distribution along the line at different viewing angles.

2. The simulation analysis method for optical imaging of the Earth's magnetosphere as described in claim 1, characterized in that, The Earth's magnetosphere includes the magnetosheath region, the plasmasphere region, and the pole tip region.

3. The simulation analysis method for optical imaging of the Earth's magnetosphere as described in claim 2, characterized in that, Also includes: Density inversion is performed on the plasmasphere region based on the optical image of the Earth's magnetosphere to obtain the plasmasphere density distribution in the Earth's magnetosphere.

4. The simulation analysis method for optical imaging of the Earth's magnetosphere as described in claim 3, characterized in that, The step of performing density inversion on the plasmasphere region based on the optical image of the Earth's magnetosphere to obtain the plasmasphere density distribution in the Earth's magnetosphere specifically includes: Acquire optical image data of the plasmasphere region in the Earth's magnetosphere; Based on the optical image data of the plasmasphere region, the location of the plasmapause in the Earth's magnetosphere is identified and inverted; Based on this, a genetic algorithm is used to perform optimization search iteration on the optical image data to obtain the plasma layer density distribution that best matches the intensity distribution of the plasma optical image, and it is stored in a pre-constructed plasma layer density distribution database.

5. The simulation analysis method for optical imaging of the Earth's magnetosphere as described in claim 4, characterized in that, The steps of using a genetic algorithm to perform optimization search and iteration on the optical image data specifically include: Read in optical image data of the plasmasphere; Set the genetic algorithm parameters, including the genetic population size, chromosome size, mutation probability, maximum number of iterations, and target fitness value; Calculate the weight matrix of the ray integral in the optical image data of the plasmasphere; An initial population is randomly generated, and the optimization process for each genetic iteration begins based on the weight matrix of the light integral.

6. The simulation analysis method for optical imaging of the Earth's magnetosphere as described in claim 5, characterized in that, The preset format of the Earth's magnetosphere space plasma data includes plasma data in txt text format, sav file format, and NetCDF format.

7. A simulation and analysis system for optical imaging of the Earth's magnetosphere, characterized in that, include: The reading module is used to read space plasma data of the Earth's magnetosphere in a preset format; The judgment module is used to determine the type of radiation simulation of the Earth's magnetosphere based on at least one plasma parameter type input by the user; The simulation calculation module is used to perform radiation simulation calculations using the Earth's magnetosphere space plasma data according to the radiation simulation type of the Earth's magnetosphere, and to obtain and visualize the corresponding optical image of the Earth's magnetosphere space. The radiation simulation types for the Earth's magnetosphere include extreme ultraviolet radiation simulation, X-ray radiation simulation, and resonance scattering simulation. Among them, the He² radiation from the magnetosheath region and the pole tip region of the Earth's magnetosphere is simulated. + 30.4 nm extreme ultraviolet radiation generated by charge collision exchange, O 7+ and C 6+ X-ray radiation generated by heavy-ion charge exchange collisions in the solar wind, originating from the plasmasphere He + Resonant scattering of 30.4 nm solar radiation and O from the magnetosphere and ionosphere + The software simulates the resonant scattering of the sun's 83.4nm radiation. Users can input multiple plasma parameter types and set virtual camera parameters (camera position, viewing angle, coordinate system) through the software interface. The software automatically determines the type of radiation spectrum to be simulated based on the input plasma parameter types. It also automatically connects two points on the Earth's magnetosphere spatial optical image displayed on the software interface and plots the intensity distribution along the line at different viewing angles.

8. A computer device, characterized in that, It includes at least one processor, at least one memory, and a data bus; wherein: the processor and the memory communicate with each other through the data bus; the memory stores a program executed by the processor to implement the simulation analysis method for optical imaging of the Earth's magnetosphere as described in any one of claims 1-6.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer-readable instructions, which, when executed by a processor, implement the steps of the simulation analysis method for optical imaging of the Earth's magnetosphere as described in any one of claims 1-6.

Images