Method, device and equipment for obtaining Thomson scattering light spectrum simulated by using particles

Abstract

The invention provides a method, a device and equipment for obtaining a Thomson scattering light spectrum through particle simulation, and relates to the technical field of plasma diagnosis. The obtaining method comprises the following steps: simulating coherent scattering of plasma and probe light by using a particle simulation method to obtain electromagnetic field distribution of scattered light; performing Fourier transform on the electromagnetic field distribution of the scattered light to obtain an electromagnetic field frequency spectrum; screening the electromagnetic field spectrum to obtain a scattered light spectrum; and carrying out smoothing processing on the scattered light spectrum to remove noise so as to obtain a Thomson scattered light spectrum.

Description

Technical Field

[0001] The present disclosure relates to the field of plasma diagnosis technology, and more particularly to a method, device and apparatus for obtaining a Thomson scattered light spectrum using particle simulation. Background Art

[0002] One of the key issues facing inertial confinement ignition is the diagnosis of the plasma state at key locations such as the laser injection port and the hohlraum wall. Thomson scattering diagnosis is considered the most accurate method for measuring plasma state.

[0003] Although relevant technologies can effectively predict and interpret Thomson scattering spectra in weak-collision, equilibrium-state plasmas, allowing accurate assessment of plasma states based on experimentally measured scattered light signals, theoretical analysis of the Thomson scattering spectrum in the strong-collision, non-equilibrium plasma environments common in laser plasma experiments is difficult, making it impossible to extract information about the plasma state from the experimentally measured scattered light signals. While existing particle simulations can effectively simulate various physical processes in strong-collision, non-equilibrium plasmas, directly obtaining Thomson scattering spectra in particle simulations presents significant challenges due to the low intensity of Thomson scattered light and the high noise levels in particle simulations. Summary of the Invention

[0004] In view of the above problems, the present disclosure provides a method, device and apparatus for obtaining a Thomson scattered light spectrum using particle simulation.

[0005] According to a first aspect of the present disclosure, a method for obtaining a Thomson scattered light spectrum using particle simulation is provided. The method comprises: simulating coherent scattering of plasma and probe light using a particle simulation method to obtain an electromagnetic field distribution of the scattered light; performing Fourier transform on the electromagnetic field distribution of the scattered light to obtain an electromagnetic field spectrum; screening the electromagnetic field spectrum to obtain a scattered light spectrum; and smoothing the scattered light spectrum to remove noise to obtain a Thomson scattered light spectrum.

[0006] According to an embodiment of the present disclosure, the above-mentioned particle simulation method is used to simulate the coherent scattering of plasma and probe light to obtain the electromagnetic field distribution of the scattered light, including: setting the state parameters of the above-mentioned plasma and the frequency of the above-mentioned probe light so that the above-mentioned plasma and the above-mentioned probe light undergo coherent scattering to generate scattered light; setting the scattering volume and the volume of the detection area to sample the electromagnetic wave signal of the scattered light having the above-mentioned scattering volume in the above-mentioned detection area to obtain the electromagnetic field distribution of the above-mentioned scattered light.

[0007] According to an embodiment of the present disclosure, it further includes: setting sampling grid parameters of the above-mentioned detection area to meet the above-mentioned sampling requirements for obtaining the electromagnetic field distribution of the scattered light.

[0008] According to an embodiment of the present disclosure, the acquisition method further includes: based on multiple different preset collision intensities, using the particle simulation method to simulate multiple collisions of different degrees between charged particles in the plasma, and obtaining Thomson scattered light spectra under multiple different collision intensities.

[0009] According to an embodiment of the present disclosure, the above-mentioned screening of the electromagnetic field spectrum to obtain the scattered light spectrum includes: screening the above-mentioned electromagnetic field spectrum according to the three-wave matching relationship of Thomson scattering to obtain the above-mentioned scattered light spectrum; wherein the three-wave matching relationship of Thomson scattering includes the frequency relationship and wave vector relationship of the above-mentioned scattered light, the above-mentioned probe light and the above-mentioned plasma.

[0010] According to an embodiment of the present disclosure, the above-mentioned screening of the electromagnetic field spectrum according to the three-wave matching relationship of Thomson scattering to obtain the above-mentioned scattered light spectrum includes: screening the above-mentioned electromagnetic field spectrum based on multiple different preset scattering angles according to the three-wave matching relationship of Thomson scattering to obtain Thomson scattered light spectra at multiple different preset scattering angles.

[0011] According to an embodiment of the present disclosure, the above-mentioned smoothing processing of the scattered light spectrum to remove noise and obtain the Thomson scattered light spectrum includes: based on a preset spectral resolution, smoothing the scattered light spectrum with a preset window width to remove noise and obtain the Thomson scattered light spectrum.

[0012] According to an embodiment of the present disclosure, the acquisition method further includes: performing statistical averaging calculation based on the plurality of Thomson scattered light spectra to obtain the averaged Thomson scattered light spectrum for further denoising.

[0013] Another aspect of the present disclosure provides a device for obtaining a Thomson scattered light spectrum using particle simulation. The device includes: an obtaining module for simulating coherent scattering of plasma and probe light using a particle simulation method to obtain an electromagnetic field distribution of the scattered light; a Fourier transform module for performing Fourier transform on the electromagnetic field distribution of the scattered light to obtain an electromagnetic field spectrum; a screening module for screening the electromagnetic field spectrum to obtain a scattered light spectrum; and a denoising module for smoothing the scattered light spectrum to remove noise and obtain a Thomson scattered light spectrum.

[0014] Another aspect of the present disclosure provides an electronic device, comprising: one or more processors; and a memory for storing one or more computer programs, wherein the one or more processors execute the one or more computer programs to implement the steps of the above method.

[0015] According to the embodiments of the present disclosure, the particle simulation method can be used to study the state evolution of strong collisions and non-equilibrium plasmas. The particle simulation method is used to simulate the coherent scattering of plasma and probe light, which can be used to study the Thomson scattering of equilibrium and non-equilibrium plasmas, and the electromagnetic field distribution of the scattered light can be directly obtained. By performing Fourier transform on the electromagnetic field distribution of the scattered light in time and space, reliable electromagnetic wave signals with high signal-to-noise ratio, wave vector resolution and frequency resolution can be screened out to obtain a scattered light spectrum. By smoothing and removing noise, the signal-to-noise ratio of the electromagnetic wave signal can be further improved, and a high-signal-to-noise ratio, high-resolution Thomson scattered light spectrum can be obtained, so as to further obtain characteristic information such as plasma density, electron temperature, ion temperature, ion composition, flow rate, etc. through Thomson diagnosis. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The above contents and other objects, features and advantages of the present disclosure will become more apparent through the following description of the embodiments of the present disclosure with reference to the accompanying drawings, in which:

[0017] Figure 1 A diagram schematically illustrates an application scenario of a method, apparatus, and device for obtaining a Thomson scattered light spectrum using particle simulation according to an embodiment of the present disclosure;

[0018] Figure 2 A flow chart schematically illustrates a method for obtaining a Thomson scattered light spectrum using particle simulation according to an embodiment of the present disclosure;

[0019] Figure 3 A schematic diagram schematically illustrates multiple Thomson scattered light spectra based on multiple different preset scattering angles according to an embodiment of the present disclosure;

[0020] Figure 4 A schematic diagram schematically illustrates a probe light in a particle simulation method according to an embodiment of the present disclosure;

[0021] Figure 5 A schematic diagram schematically illustrates a Thomson scattered light spectrum at a first preset collision intensity according to an embodiment of the present disclosure;

[0022] Figure 6 A schematic diagram schematically illustrates a Thomson scattered light spectrum at a second preset collision intensity according to an embodiment of the present disclosure;

[0023] Figure 7 A schematic diagram schematically illustrates a Thomson scattered light spectrum at a third preset collision intensity according to an embodiment of the present disclosure;

[0024] Figure 8 A schematic diagram schematically illustrates a Thomson scattered light spectrum at a fourth preset collision intensity according to an embodiment of the present disclosure;

[0025] Figure 9 A schematic diagram of a device for obtaining a Thomson scattered light spectrum using particle simulation according to an embodiment of the present disclosure is shown;

[0026] Figure 10 The block diagram of an electronic device suitable for implementing a method for obtaining a Thomson scattered light spectrum using particle simulation according to an embodiment of the present disclosure is schematically shown. DETAILED DESCRIPTION

[0027] Hereinafter, embodiments of the present disclosure will be described with reference to the accompanying drawings. However, it should be understood that these descriptions are merely exemplary and are not intended to limit the scope of the present disclosure. In the detailed description below, for ease of explanation, many specific details are set forth to provide a comprehensive understanding of the embodiments of the present disclosure. However, it is apparent that one or more embodiments may also be implemented without these specific details. In addition, in the following description, descriptions of well-known structures and technologies are omitted to avoid unnecessary confusion of the concepts of the present disclosure.

[0028] The terms used herein are only for describing specific embodiments and are not intended to limit the present disclosure. The terms "comprise," "include," etc. used herein indicate the presence of the features, steps, operations, and / or components, but do not exclude the presence or addition of one or more other features, steps, operations, or components.

[0029] All terms used herein (including technical and scientific terms) have the meanings commonly understood by those skilled in the art unless otherwise defined. It should be noted that the terms used herein should be interpreted as having a meaning consistent with the context of this specification and should not be interpreted in an idealized or overly rigid manner.

[0030] When expressions such as "at least one of A, B, and C, etc." are used, they should generally be interpreted in accordance with the meaning commonly understood by those skilled in the art (for example, "a system having at least one of A, B, and C" should include but is not limited to a system having A alone, B alone, C alone, A and B, A and C, B and C, and / or A, B, C, etc.).

[0031] The principle of Thomson scattering is that when laser light is directed into a plasma, the electrons in the plasma vibrate under the influence of the laser's electric field, generating radiation. Coherent Thomson scattering occurs when the electron density in the plasma is spatially perturbed. If the spatial wavelength of this perturbation is greater than the plasma's Debye length, the radiation generated by the individual electrons interferes with each other, resulting in the Thomson scattering spectrum reflecting the corresponding characteristics of the density perturbation in the plasma.

[0032] Probe light is a commonly used tool in plasma diagnostics and spectroscopy, used to probe the physical properties of plasmas. The probe light can be a laser or other light source with known wavelength, intensity, and polarization. The probe light elastically scatters from free electrons in the plasma. These scattered light, after coherent superposition, carries information about electron density perturbations. The spectrum and intensity of the light scattered from the thermal fluctuation density perturbation can reveal the electron density and temperature.

[0033] The power spectrum of Thomson scattered light can be expressed as:

[0034] (1);

[0035] in, Indicates the location Department, In the solid angle, the frequency is Nearby Thomson scattered light power within the frequency range; is the power of the probe light, is the classical electron radius, is the cross-sectional area of ​​the probe light, For Parallel unit vectors, is the unit vector representing the direction of the probe's optical electric field, is the number of electrons in the scattering volume, is the kinetic shape factor, which can be expressed as:

[0036] (2);

[0037] in, Satisfy the three-wave matching relationship of Thomson scattering:

[0038] (3);

[0039] (4);

[0040] in, , are the scattered light wave vector and the probe light wave vector, are the scattered light frequency and the probe light frequency, respectively. is the average electron number density. is the power spectrum of the electron density perturbation. The shape of the scattered light power spectrum of coherent Thomson scattering is mainly determined by the dynamic shape factor The other parameters only appear as coefficients that determine the signal strength.

[0041] If coherent Thomson scattering occurs on density perturbations caused by thermal fluctuations in the plasma, it is called thermal coherent Thomson scattering, and its spectrum can reflect characteristics of the plasma, such as temperature, density, composition, and flow rate. Thermal coherent Thomson scattering includes an electron plasma wave characteristic spectrum and an ion acoustic wave characteristic spectrum. The electron plasma wave characteristic spectrum reflects the characteristics of electron thermal fluctuations. Because the phase velocity of electron thermal fluctuations is relatively fast, the corresponding frequency shift of the scattered light is relatively large, so the spectral resolution required for diagnosis is relatively low. In contrast, the ion acoustic wave characteristic spectrum reflects the characteristics of ion thermal fluctuations. Because the phase velocity of ion thermal fluctuations is relatively slow, the corresponding frequency shift of the scattered light is relatively small, so the spectral resolution required for diagnosis is correspondingly higher. The electron plasma wave characteristic spectrum can be used to determine the electron temperature and density of the plasma, while the ion acoustic wave characteristic spectrum can be used to determine the density, electron temperature, ion temperature, flow rate, and other characteristics of the plasma.

[0042] If coherent Thomson scattering occurs on a driven density disturbance, it is called superthermal coherent Thomson scattering, and its spectrum can reflect the intensity, growth rate and other characteristics of the density disturbance.

[0043] Thomson scattering diagnostics involve theoretically predicting the Thomson scattered light spectrum under a given plasma state. The plasma state in the experiment is predicted through fluid simulation, and the Thomson scattered light spectrum is obtained during the experiment. This spectrum is then fitted into the plasma state using existing theory.

[0044] Numerical simulation methods for studying plasma behavior primarily include fluid simulation and kinetic simulation. Fluid simulation treats plasma as a fluid and is suitable for large-scale plasma studies, but it cannot capture the kinetic effects within plasmas. Kinetic simulations fall into two categories. The first involves solving the plasma velocity distribution function. Depending on the form of the collision term, these simulations include Vlasov simulations and Fokker-Plank simulations. This type of simulation can reveal the evolution of the plasma distribution function in phase space and can be used to study kinetic effects, but consumes excessive computational resources in multidimensional scenarios. The second type of kinetic simulation, also known as particle-in-cell (PIC), uses macroparticles to represent electrons and ions. The electromagnetic field is driven by solving Maxwell's equations, and particle motion is driven by Newton's second law, resulting in the evolution of the plasma state. Particle simulations can be used to study various processes within plasmas, such as instabilities, transport, and turbulence.

[0045] In related art, electron density fluctuation spectra are obtained in PIC simulations to study Thomson scattering in non-equilibrium plasmas. This method demonstrates the suitability of PIC simulations for studying Thomson scattering in non-equilibrium plasmas and provides a reference for setting up Thomson scattering experiments to diagnose kinetic effects in experiments. However, this method does not directly obtain the Thomson scattered light spectrum, nor does it obtain a spectrally resolved characteristic density fluctuation spectrum of ion acoustic waves. Instead, it obtains only the characteristic density fluctuation spectrum of electron plasma waves, which also exhibits significant noise. This method can only indicate that the thermal fluctuation patterns in non-equilibrium plasmas are distinct, but does not obtain a high-signal-to-noise ratio, high-resolution Thomson scattered light spectrum. However, when applying Thomson scattering diagnostics in experiments, detailed analysis of the shape of the characteristic ion acoustic wave spectrum is often required to obtain characteristics such as density, electron temperature, ion temperature, ion composition, and flow rate.

[0046] Thomson research has effectively predicted and explained the Thomson scattering spectra in weak collision and equilibrium plasmas. However, in strong collision plasmas and non-equilibrium plasmas, such as thermal flux and beam plasmas, which are common in laser plasma experiments, the electron density fluctuation spectrum is more complex to analyze because the plasma deviates from the Max Planck distribution. Existing theories have difficulty explaining the thermally coherent Thomson scattering spectrum observed in experiments.

[0047] Therefore, the present disclosure provides a method, device and apparatus for obtaining a Thomson scattered light spectrum using particle simulation, in order to solve at least one of the above technical problems.

[0048] Embodiments of the present disclosure provide a method, apparatus, and device for obtaining a Thomson scattered light spectrum using particle simulation. The method includes: using a particle simulation method to simulate coherent scattering of plasma and probe light to obtain an electromagnetic field distribution of the scattered light; performing Fourier transform on the electromagnetic field distribution of the scattered light to obtain an electromagnetic field spectrum; screening the electromagnetic field spectrum to obtain a scattered light spectrum; and smoothing the scattered light spectrum to remove noise to obtain a Thomson scattered light spectrum.

[0049] According to the embodiments of the present disclosure, the particle simulation method can be used to study the state evolution of strong collisions and non-equilibrium plasmas. The particle simulation method is used to simulate the coherent scattering of plasma and probe light, which can be used to study the Thomson scattering of equilibrium and non-equilibrium plasmas, and the electromagnetic field distribution of the scattered light can be directly obtained. By performing Fourier transform on the electromagnetic field distribution of the scattered light in time and space, reliable electromagnetic wave signals with high signal-to-noise ratio, wave vector resolution and frequency resolution can be screened out to obtain a scattered light spectrum. By smoothing and removing noise, the signal-to-noise ratio of the electromagnetic wave signal can be further improved, and a high-signal-to-noise ratio, high-resolution Thomson scattered light spectrum can be obtained, so as to further obtain characteristic information such as plasma density, electron temperature, ion temperature, ion composition, flow rate, etc. through Thomson diagnosis.

[0050] Figure 1 The application scenario diagram of the method, device and equipment for obtaining the Thomson scattered light spectrum using particle simulation according to an embodiment of the present disclosure is schematically shown.

[0051] like Figure 1 As shown, the application scenario 100 according to this embodiment may include a first terminal device 101, a second terminal device 102, a third terminal device 103, a network 104, and a server 105. The network 104 is used as a medium for providing a communication link between the first terminal device 101, the second terminal device 102, the third terminal device 103, and the server 105. The network 104 may include various connection types, such as wired or wireless communication links or optical fiber cables.

[0052] A user may use a first terminal device 101, a second terminal device 102, or a third terminal device 103 to interact with a server 105 via a network 104 to receive or send messages, etc. Various communication client applications may be installed on the first terminal device 101, the second terminal device 102, or the third terminal device 103, such as shopping applications, web browser applications, search applications, instant messaging tools, email clients, social platform software, etc. (for example only).

[0053] The first terminal device 101 , the second terminal device 102 , and the third terminal device 103 may be various electronic devices having display screens and supporting web browsing, including but not limited to smart phones, tablet computers, laptop computers, desktop computers, and the like.

[0054] The server 105 may be a server that provides various services, such as a background management server (for example only) that supports websites browsed by users using the first terminal device 101, the second terminal device 102, and the third terminal device 103. The background management server may analyze and process received data such as user requests, and feed back processing results (e.g., web pages, information, or data obtained or generated based on user requests) to the terminal devices.

[0055] It should be noted that the method for obtaining the Thomson scattered light spectrum using particle simulation provided in the embodiment of the present disclosure can generally be executed by the server 105. Accordingly, the device for obtaining the Thomson scattered light spectrum using particle simulation provided in the embodiment of the present disclosure can generally be set in the server 105. The method for obtaining the Thomson scattered light spectrum using particle simulation provided in the embodiment of the present disclosure can also be executed by a server or server cluster that is different from the server 105 and can communicate with the first terminal device 101, the second terminal device 102, the third terminal device 103 and / or the server 105. Accordingly, the device for obtaining the Thomson scattered light spectrum using particle simulation provided in the embodiment of the present disclosure can also be set in a server or server cluster that is different from the server 105 and can communicate with the first terminal device 101, the second terminal device 102, the third terminal device 103 and / or the server 105.

[0056] It should be understood that Figure 1 The number of terminal devices, networks and servers in the embodiment is merely illustrative. Any number of terminal devices, networks and servers may be provided as required.

[0057] Figure 2 The flowchart of the method for obtaining the Thomson scattered light spectrum using particle simulation according to an embodiment of the present disclosure is schematically shown.

[0058] like Figure 2 As shown, the method for obtaining a Thomson scattered light spectrum using particle simulation in this embodiment includes operations S210 to S240.

[0059] In operation S210 , a particle simulation method is used to simulate coherent scattering of plasma and probe light to obtain an electromagnetic field distribution of the scattered light.

[0060] According to an embodiment of the present disclosure, the particle simulation method is an important numerical simulation method for studying the interaction process between charged particles and electric and magnetic fields, also known as the "first principles" method. First principles refers to starting from the most basic physical laws, directly deducing the behavior of the system without relying on empirical parameters or assumptions. The principle of the particle simulation method is to divide the plasma into many small cells, each cell contains a certain number of charged particles, which evolve over time and generate electric and magnetic fields at the grid nodes. Through iterative calculations, the motion trajectories of the particles and the forces they are subjected to can be tracked. The particle simulation method can simulate the complex dynamic behaviors in the plasma in detail by tracking the motion of a large number of charged particles and combining it with a self-consistent electromagnetic field solution.

[0061] According to the embodiments of the present disclosure, the particle simulation method adheres to first principles and can simulate kinetic effects in plasmas. Therefore, it can be used to study Thomson scattering in non-equilibrium and strong collision conditions. Particle simulation methods can also be used to study the propagation and scattering of probe light in plasmas, as well as its interaction with electron density perturbations in the plasma.

[0062] According to an embodiment of the present disclosure, in a particle simulation method, first, the plasma is initialized, including defining basic plasma parameters, a simulation region, boundary conditions, etc.; second, probe light is introduced, the probe light is simulated as an electromagnetic wave, the basic parameters of the probe light are defined, and the probe light is introduced at a preset position in the simulation region as an incident electromagnetic field; then, the probe light interacts with the plasma, and through reasonable definitions, the probe light and the plasma can undergo coherent scattering to generate scattered light; finally, the electromagnetic wave signal of the scattered light is recorded in the particle simulation method to obtain the electromagnetic field distribution of the scattered light.

[0063] In operation S220, Fourier transform is performed on the electromagnetic field distribution of the scattered light to obtain an electromagnetic field spectrum.

[0064] According to an embodiment of the present disclosure, the electromagnetic field distribution of scattered light obtained by the particle simulation method is and , perform Fourier transform in time and space to obtain the electromagnetic field spectrum and The longer time sampling length in the Fourier transform results in higher frequency resolution, thus improving spectral resolution.

[0065] In operation S230 , the electromagnetic field spectrum is screened to obtain a scattered light spectrum.

[0066] In operation S240 , the scattered light spectrum is smoothed to remove noise, thereby obtaining a Thomson scattered light spectrum.

[0067] According to the embodiments of the present disclosure, a suitable window width can be selected according to the need for spectrum resolution, and the scattered light spectrum can be smoothed to reduce noise and retain the characteristics of the spectrum while reducing fluctuations.

[0068] According to the embodiments of the present disclosure, the particle simulation method can be used to study the state evolution of strong collisions and non-equilibrium plasmas. The particle simulation method is used to simulate the coherent scattering of plasma and probe light, which can be used to study the Thomson scattering of equilibrium and non-equilibrium plasmas, and the electromagnetic field distribution of the scattered light can be directly obtained. By performing Fourier transform on the electromagnetic field distribution of the scattered light in time and space, reliable electromagnetic wave signals with high signal-to-noise ratio, wave vector resolution and frequency resolution can be screened out to obtain a scattered light spectrum. By smoothing and removing noise, the signal-to-noise ratio of the electromagnetic wave signal can be further improved, and a high-signal-to-noise ratio, high-resolution Thomson scattered light spectrum can be obtained, so as to further obtain characteristic information such as plasma density, electron temperature, ion temperature, ion composition, flow rate, etc. through Thomson diagnosis.

[0069] According to an embodiment of the present disclosure, using a particle simulation method, it is necessary to set relevant parameters.

[0070] According to embodiments of the present disclosure, the plasma state parameters and the frequency of the probe light are set so that the plasma and the probe light undergo coherent scattering, generating scattered light. A scattering volume and a detection region volume are set so that electromagnetic wave signals of the scattered light within the scattering volume are sampled within the detection region to obtain the electromagnetic field distribution of the scattered light.

[0071] According to an embodiment of the present disclosure, in a particle simulation method, when designing a plasma state, it is necessary to initialize the particle distribution and state of the plasma based on preset plasma state parameters, such as electron density, electron temperature, ion temperature, etc. By setting the plasma state parameters, the required physical processes can be reflected, such as the collision free path, heat flux intensity, Coulomb logarithm and other important physical characteristics of the plasma. The collision free path of a plasma represents the average distance that a particle travels in a plasma due to multiple Coulomb collisions, resulting in a 90-degree deflection in its direction of motion. The heat flux intensity of a plasma represents the heat energy passing through a unit area per unit time. The Coulomb logarithm of a plasma is used to describe the cumulative effect of Coulomb interactions between charged particles.

[0072] According to an embodiment of the present disclosure, in the particle simulation method, the spatial width of the space-time grid of the simulation area needs to be smaller than the Debye length to ensure the accuracy and physical rationality of the simulation. The Debye length of the plasma is used to describe the characteristic length of the charge screening effect in the plasma. If the width of the space-time grid needs to be larger than the Debye length, the simulation will not be able to accurately capture the charge distribution and electric field changes in the plasma, resulting in distortion of the physical phenomena. In the particle simulation method, the time step of the space-time grid of the simulation area needs to meet the CFL (Courant-Friedrichs-Lewy) condition to ensure the stability of the numerical simulation, that is, the particles cannot cross multiple space-time grids within one time step.

[0073] According to an embodiment of the present disclosure, the probe light frequency is set to the quadruple frequency, that is, its wavelength is one-fourth of the wavelength of the fundamental frequency light. For example, if the fundamental frequency light is 1053nm (commonly used Nd:YAG laser), the wavelength of the quadruple frequency light is 263nm. When setting the probe light, it is necessary to consider the disturbance of the probe light intensity on the plasma. In principle, the probe light intensity should be low enough to avoid significant disturbance of the plasma being detected. However, in some experiments, the probe light intensity is higher, and the intensity of the probe light in the experiment can be used as the standard.

[0074] According to an embodiment of the present disclosure, the scattering volume may represent an area where the probe light interacts with the plasma and generates scattered light. Setting the scattering volume may include setting the position, size, and shape of the scattering volume. In the particle simulation method, the scattering area is defined by setting the boundary conditions of the scattering volume.

[0075] According to an embodiment of the present disclosure, the detection area may represent an area for collecting electromagnetic wave signals of scattered light. Setting the detection area may include setting the position, size and shape of the detection area. In the particle simulation method, the detection area is defined by setting the boundary conditions of the detection area.

[0076] According to the embodiments of the present disclosure, what is observed in the experiment is a far-field signal. In the particle simulation method, the electromagnetic wave signal collected outside the probe light action area can be regarded as a far-field signal.

[0077] According to an embodiment of the present disclosure, it also includes setting sampling grid parameters of the detection area to meet the sampling requirements of obtaining the electromagnetic field distribution of the scattered light.

[0078] According to an embodiment of the present disclosure, the sampling grid parameters for setting the detection area include space parameters and time parameters. The parameters in the two-dimensional space include space length and spatial sampling interval , the parameters in one-dimensional time include the time sampling length and time sampling interval .

[0079] For the wave vector length In order to achieve the scattered light The angular resolution requires the spatial length of the sampling grid in the detection area Satisfies the following formula (5); in order to be able to observe that the wave vector length is The scattered light requires the spatial sampling interval of the sampling grid in the detection area to be The following formula (6) is satisfied so that the angle of the Thomson scattered light spectrum can be distinguished by the wave vector in the future.

[0080] In order to achieve Frequency resolution requires time sampling length Satisfy the following formula (7); in order to be able to observe the frequency Scattered light requires a time sampling interval The following formula (8) is satisfied so that the spectrum of the Thomson scattered light can be resolved by frequency resolution in the future.

[0081] (5);

[0082] (6);

[0083] (7);

[0084] (8).

[0085] According to an embodiment of the present disclosure, the method for obtaining a Thomson scattered light spectrum using particle simulation further includes: based on multiple different preset collision intensities, using a particle simulation method to simulate multiple collisions of different degrees between charged particles of a plasma, and obtaining Thomson scattered light spectra under multiple different collision intensities.

[0086] According to an embodiment of the present disclosure, the electromagnetic field spectrum is screened according to the three-wave matching relationship of Thomson scattering to obtain a scattered light spectrum; wherein the three-wave matching relationship of Thomson scattering includes the frequency relationship and wave vector relationship of scattered light, probe light and plasma.

[0087] According to the embodiments of the present disclosure, during the Thomson scattering process, the frequency of the scattered light will be distributed around the frequency of the incident light, and the direction of the scattered light will be distributed at a certain angle in space, and screening will be performed through a preset scattering angle.

[0088] According to an embodiment of the present disclosure, based on a three-wave matching relationship of Thomson scattering and a plurality of different preset scattering angles, the electromagnetic field spectrum is screened to obtain a plurality of Thomson scattered light spectra at different preset scattering angles.

[0089] Figure 3 A schematic diagram schematically illustrates multiple Thomson scattered light spectra based on multiple different preset scattering angles according to an embodiment of the present disclosure.

[0090] like Figure 3 As shown, in the equilibrium plasma obtained in the PIC simulation, the Thomson scattered light spectrum with ion acoustic wave characteristics is obtained based on multiple different preset scattering angles. Figure 3 The horizontal axis represents the shift of the wavelength of the Thomson scattered light relative to the wavelength of the probe light, and the vertical axis represents the intensity of the scattered light. Figure 3 The points in the figure are simulation results, and the line is the theoretical result of the Thomson scattered light spectrum calculated using plasma parameters. The spectrum shapes of the simulation results and the theoretical results are basically the same. Figure 3 (a) in the figure represents the spectrum of Thomson scattered light with a preset scattering angle of 30 degrees. Figure 3 (b) in the figure shows the spectrum of Thomson scattered light with a preset scattering angle of 60 degrees. Figure 3 (c) in FIG. 1 shows the spectrum of Thomson scattered light with a preset scattering angle of 90 degrees. Figure 3 (d) in FIG. 5 represents the spectrum of Thomson scattered light with a preset scattering angle of 120 degrees.

[0091] According to an embodiment of the present disclosure, based on a preset spectrum resolution, a smoothing process of a preset window width is performed on the scattered light spectrum to remove noise, thereby obtaining a Thomson scattered light spectrum.

[0092] According to embodiments of the present disclosure, frequency resolution represents the minimum frequency interval that can be resolved in the Thomson scattered light spectrum. Based on the preset frequency resolution, a suitable preset window width is set to ensure that the important physical characteristics of the spectrum are preserved while performing smoothing and denoising. The smoothed Thomson scattered light spectrum allows for more accurate extraction of peak positions and intensities.

[0093] For example, you can gradually adjust the window width. Based on the initial window width, you can obtain preliminary smoothing results. Then, you can gradually increase the window width and record the smoothing results after gradually increasing the window width. You can also calculate the change in the spectrum before and after smoothing until the convergence criterion is met.

[0094] According to an embodiment of the present disclosure, the method for obtaining a Thomson scattered light spectrum using particle simulation further includes: performing statistical averaging calculation based on multiple Thomson scattered light spectra to obtain an averaged Thomson scattered light spectrum for further denoising.

[0095] According to embodiments of the present disclosure, multiple Thomson scattered light spectra can be obtained by repeatedly executing a method for obtaining a Thomson scattered light spectrum using particle simulation. When the particle simulation method is executed multiple times to simulate coherent scattering of plasma and probe light to obtain the electromagnetic field distribution of the scattered light, the particle simulation method uses the same settings, but uses different random number seeds for the simulated plasma.

[0096] According to an embodiment of the present disclosure, by statistically averaging the data results of Thomson scattered light spectra obtained by simulations with different random number seeds, the noise in the spectrum caused by insufficient statistics can be further reduced, and a reliable spectrum with a high signal-to-noise ratio can be obtained.

[0097] The following describes a method for obtaining a Thomson scattered light spectrum using particle simulation, using an example of studying the effect of inter-ion collisions on the Thomson scattered light spectrum. In the particle simulation method, only inter-ion collisions are enabled to study the effect of inter-ion collisions on the shape of the thermal coherent Thomson scattered light spectrum.

[0098] In the particle simulation method, set the plasma state parameters. The plasma state injected in the particle simulation method includes: electron density , electron temperature , ion temperature , the charge number of the ion , the mass number of the ion In this plasma state, thermal coherent Thomson scattering can be generated using the quadrupled frequency Thomson scattering probe light.

[0099] In the particle simulation method, set the intensity of collisions between ions. To measure the collision intensity, is the wave vector matching the Thomson scattering, is the free path of ion collisions, which can be adjusted by manually setting the Coulomb logarithm They are 10, 1, and 0.1 respectively, and the corresponding collisions are from weak to strong.

[0100] In particle simulation methods, sets the space-time grid for the simulated plasma. The spatial width of the space-time grid Less than the Debye length. The time step of the space-time grid CFL conditions must be met, for example, the time step ,in, The speed of light.

[0101] In the particle simulation method, sets the sampling grid parameters for the simulated detection area.

[0102] In the particle simulation method, set the probe light. In thermal coherent Thomson scattering, the plasma is isotropic in the simulation space, so Gaussian light can be directly used to be incident from the left side of the plasma simulation boundary. Set the probe light to the quadruple frequency, for example, the wavelength of the fundamental frequency is 1053nm; the wavelength of the quadruple frequency is 263nm; the intensity of the probe light is set to , so as not to affect the state of the plasma.

[0103] In the particle simulation method, a scattering volume and a detection area are set. In thermal coherent Thomson scattering, the scattered light spectra in the near-field and far-field regions have the same shape, and the electromagnetic wave signal of the scattered light can be directly collected within the scattering volume.

[0104] In the particle simulation method, based on the above settings, electromagnetic field distributions of multiple scattered lights based on multiple different preset collision intensities can be obtained.

[0105] The electromagnetic field distribution of the scattered light obtained for each preset collision intensity is Fourier transformed in time and space to obtain its electromagnetic field spectrum. From this electromagnetic field spectrum, the scattered light spectra at different angles can also be obtained. The scattered light spectrum is smoothed using a second-order polynomial with an appropriate window width until convergence is achieved to reduce noise.

[0106] Figure 4 A schematic diagram of probe light in a particle simulation method according to an embodiment of the present disclosure is schematically shown.

[0107] like Figure 4 As shown, Figure 4 The distribution of the electric field of the probe light in the two-dimensional simulation space at a certain moment. The probe light is incident vertically into the plasma simulation space from the left boundary of the plasma simulation space, and the polarization direction of the probe light's electric field is perpendicular to the simulation plane. Figure 4 Units of electric field is the normalized simulation unit used in the particle simulation method, and the corresponding peak power density of the probe light is The probe light intensity is Gaussian in the transverse direction, with a full width at half maximum of .

[0108] Figure 5 A schematic diagram of a Thomson scattered light spectrum at a first preset collision intensity according to an embodiment of the present disclosure is schematically shown. Figure 6 A schematic diagram of a Thomson scattered light spectrum at a second preset collision intensity according to an embodiment of the present disclosure is schematically shown. Figure 7 A schematic diagram of a Thomson scattered light spectrum at a third preset collision intensity according to an embodiment of the present disclosure is schematically shown. Figure 8A schematic diagram of a Thomson scattered light spectrum at a fourth preset collision intensity according to an embodiment of the present disclosure is schematically shown.

[0109] like Figure 5-Figure 8 As shown, Figure 5-Figure 8 It is the spectrum of Thomson scattered light when the preset scattering angle is 90 degrees. Figure 5-Figure 8 The horizontal axis represents the offset of the wavelength of Thomson scattered light relative to the wavelength of the probe light, and the vertical axis represents the intensity of the scattered light. In the particle simulation method, The smaller the value, the stronger the collision intensity between ions. The first preset collision intensity setting , the second preset collision intensity setting , the third preset collision intensity setting , the fourth preset collision intensity setting , indicating that the collisions are getting stronger. As the inter-ion collisions intensify, the peaks of the ion acoustic wave characteristic spectrum become sharper, and an entropy peak appears at the zero frequency shift. In other words, the shape of the Thomson scattered light spectrum evolves from a double-peak structure to a sharper triple-peak structure.

[0110] According to the embodiments of the present disclosure, for studying the effect of inter-ion collisions on the spectral shape of thermal coherent Thomson scattered light, a single set of simulations can demonstrate the change in the spectral shape without the need for statistical averaging of several additional sets of simulations.

[0111] Although the above describes specific implementation methods for studying a problem in the present invention, those skilled in the art should understand that these are merely illustrative and that various changes or modifications may be made to these implementation methods without departing from the principles and implementations of the present invention. For example, the plasma in the PIC simulation may be a weak collision, equilibrium plasma, a plasma under strong heat flow, a plasma in turbulent flow, or a plasma with density perturbations driven by other means, such as a heating beam.

[0112] The method for obtaining a Thomson scattering light spectrum using particle simulation in the embodiments of the present disclosure is to study the influence of key physical quantities in non-equilibrium, strong collision plasmas on the shape of the Thomson scattering spectrum. The Thomson scattering spectrum is obtained by using a particle simulation method to study Thomson scattering. A plasma in a corresponding state is created in the particle simulation method, and Thomson scattering probe light is incident in the simulation.

[0113] According to the embodiments of the present disclosure, the characteristics of Thomson scattered light are studied using a particle simulation method, which satisfies first principles and can be used to study Thomson scattering occurring in strong collisions and non-equilibrium plasmas. To date, no relevant research has been found on methods for studying the characteristics of Thomson scattered light using particle simulation. Compared with the related art methods of using particle simulation to study plasma background fluctuation spectra, the present disclosure can directly obtain Thomson scattered light spectra at different angles and has advantages such as high spectral resolution and high signal-to-noise ratio. It can also be used to observe subtle changes in the shape of scattered light spectra under different conditions and compare and verify them with experimental results.

[0114] Based on the above method for obtaining Thomson scattered light spectrum using particle simulation, the present disclosure also provides a device for obtaining Thomson scattered light spectrum using particle simulation. Figure 9 The device is described in detail.

[0115] Figure 9 The figure schematically shows a device for obtaining a Thomson scattered light spectrum using particle simulation according to an embodiment of the present disclosure.

[0116] like Figure 9 As shown, the device 900 for obtaining Thomson scattered light spectrum using particle simulation includes an obtaining module 910 , a Fourier transform module 920 , a screening module 930 and a denoising module 940 .

[0117] The obtaining module 910 is used to simulate the coherent scattering of plasma and probe light by using a particle simulation method to obtain the electromagnetic field distribution of the scattered light.

[0118] The Fourier transform module 920 is used to perform Fourier transform on the electromagnetic field distribution of the scattered light to obtain an electromagnetic field spectrum.

[0119] The screening module 930 is used to screen the electromagnetic field spectrum to obtain the scattered light spectrum.

[0120] The denoising module 940 is used to smooth the scattered light spectrum to remove noise and obtain a Thomson scattered light spectrum.

[0121] According to an embodiment of the present disclosure, the obtaining module 910 includes a first setting submodule and a second setting submodule.

[0122] The first setting submodule is used to set the state parameters of the plasma and the frequency of the probe light so that the plasma and the probe light undergo coherent scattering to generate scattered light.

[0123] The second setting submodule is used to set the volume of the scattering volume and the detection area, so as to sample the electromagnetic wave signal of the scattered light having the scattering volume in the detection area to obtain the electromagnetic field distribution of the scattered light.

[0124] According to an embodiment of the present disclosure, the obtaining module 910 further includes a third setting submodule.

[0125] The third setting submodule is used to set the sampling grid parameters of the detection area to meet the sampling requirements for obtaining the electromagnetic field distribution of the scattered light.

[0126] According to an embodiment of the present disclosure, the apparatus 900 for obtaining a Thomson scattered light spectrum using particle simulation further includes a collision module.

[0127] The collision module is used to simulate multiple collisions of different degrees between charged particles in the plasma based on multiple different preset collision intensities using a particle simulation method to obtain Thomson scattered light spectra under multiple different collision intensities.

[0128] According to an embodiment of the present disclosure, the screening module 930 includes a screening submodule.

[0129] The screening submodule is used to screen the electromagnetic field spectrum according to the three-wave matching relationship of Thomson scattering to obtain the scattered light spectrum; wherein the three-wave matching relationship of Thomson scattering includes the frequency relationship and wave vector relationship of scattered light, probe light and plasma.

[0130] According to an embodiment of the present disclosure, the screening submodule includes a screening unit.

[0131] The screening unit is used to screen the electromagnetic field spectrum based on a plurality of different preset scattering angles according to the three-wave matching relationship of Thomson scattering, and obtain Thomson scattered light spectra at a plurality of different preset scattering angles.

[0132] According to an embodiment of the present disclosure, the denoising module 940 includes a denoising submodule.

[0133] The denoising submodule is used to perform smoothing processing on the scattered light spectrum with a preset window width based on a preset spectrum resolution to remove noise and obtain a Sommerson scattered light spectrum.

[0134] According to an embodiment of the present disclosure, the apparatus 900 for obtaining a Thomson scattered light spectrum using particle simulation further includes a statistical averaging module.

[0135] The statistical averaging module is used to perform statistical averaging calculation based on multiple Thomson scattered light spectra to obtain an averaged Thomson scattered light spectrum for further denoising.

[0136] According to embodiments of the present disclosure, any multiple of the obtaining module 910, the Fourier transform module 920, the screening module 930, and the denoising module 940 can be combined into a single module, or any one of these modules can be split into multiple modules. Alternatively, at least part of the functionality of one or more of these modules can be combined with at least part of the functionality of other modules and implemented in a single module. According to embodiments of the present disclosure, at least one of the obtaining module 910, the Fourier transform module 920, the screening module 930, and the denoising module 940 can be at least partially implemented as a hardware circuit, such as a field programmable gate array (FPGA), a programmable logic array (PLA), a system on a chip, a system on a substrate, a system on a package, an application-specific integrated circuit (ASIC), or can be implemented in hardware or firmware through any other reasonable means of circuit integration or packaging, or can be implemented in any one of the three implementation methods of software, hardware, and firmware, or any appropriate combination of any of these. Alternatively, at least one of the obtaining module 910 , the Fourier transform module 920 , the screening module 930 and the denoising module 940 may be at least partially implemented as a computer program module, which may perform corresponding functions when executed.

[0137] Figure 10 The block diagram of an electronic device suitable for implementing a method for obtaining a Thomson scattered light spectrum using particle simulation according to an embodiment of the present disclosure is schematically shown.

[0138] like Figure 10 As shown, the electronic device 1000 according to an embodiment of the present disclosure includes a processor 1001, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 1002 or a program loaded from a storage portion 1008 into a random access memory (RAM) 1003. The processor 1001 may include, for example, a general-purpose microprocessor (e.g., a CPU), an instruction set processor and / or a related chipset and / or a special-purpose microprocessor (e.g., an application-specific integrated circuit (ASIC)), etc. The processor 1001 may also include onboard memory for caching purposes. The processor 1001 may include a single processing unit or multiple processing units for performing different actions of the method flow according to an embodiment of the present disclosure.

[0139] Various programs and data required for the operation of the electronic device 1000 are stored in the RAM 1003. The processor 1001, the ROM 1002, and the RAM 1003 are connected to each other via a bus 1004. The processor 1001 performs various operations of the method flow according to the embodiment of the present disclosure by executing the programs in the ROM 1002 and / or the RAM 1003. It should be noted that the programs may also be stored in one or more memories other than the ROM 1002 and the RAM 1003. The processor 1001 may also perform various operations of the method flow according to the embodiment of the present disclosure by executing the programs stored in the one or more memories.

[0140] According to an embodiment of the present disclosure, electronic device 1000 may further include an input / output (I / O) interface 1005, which is also connected to bus 1004. Electronic device 1000 may also include one or more of the following components connected to I / O interface 1005: an input section 1006 including a keyboard, mouse, etc.; an output section 1007 including devices such as a cathode ray tube (CRT), liquid crystal display (LCD), and speakers; a storage section 1008 including a hard disk; and a communication section 1009 including a network interface card such as a LAN card or modem. Communication section 1009 performs communication processing via a network such as the Internet. A drive 1010 is also connected to I / O interface 1005 as needed. Removable media 1011, such as a magnetic disk, optical disk, magneto-optical disk, semiconductor memory, etc., is installed in drive 1010 as needed, so that computer programs read from the removable media can be installed into storage section 1008 as needed.

[0141] The present disclosure also provides a computer-readable storage medium, which may be included in the device / apparatus / system described in the above embodiments, or may exist independently and not be incorporated into the device / apparatus / system. The computer-readable storage medium carries one or more programs, and when executed, implements the method according to the embodiments of the present disclosure.

[0142] According to an embodiment of the present disclosure, a computer-readable storage medium may be a non-volatile computer-readable storage medium, and may include, for example, but is not limited to: a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In the present disclosure, a computer-readable storage medium may be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. For example, according to an embodiment of the present disclosure, a computer-readable storage medium may include the ROM 1002 and / or RAM 1003 described above, and / or one or more memories other than ROM 1002 and RAM 1003.

[0143] Embodiments of the present disclosure also include a computer program product comprising a computer program containing program code for executing the method shown in the flowchart. When the computer program product is executed in a computer system, the program code is configured to cause the computer system to implement the method for obtaining a Thomson scattered light spectrum using particle simulation provided in embodiments of the present disclosure.

[0144] The computer program executes the above functions defined in the system / device of the embodiment of the present disclosure when the processor 1001 executes the computer program. According to the embodiment of the present disclosure, the system, device, module, unit, etc. described above can be implemented by a computer program module.

[0145] In one embodiment, the computer program may be stored on a tangible storage medium such as an optical storage device or a magnetic storage device. In another embodiment, the computer program may be transmitted and distributed in the form of a signal on a network medium, downloaded and installed via the communication portion 1009, and / or installed from the removable medium 1011. The program code contained in the computer program may be transmitted using any appropriate network medium, including but not limited to wireless, wired, or any suitable combination thereof.

[0146] In such an embodiment, the computer program can be downloaded and installed from a network via the communication section 1009, and / or installed from the removable medium 1011. When the computer program is executed by the processor 1001, the above-described functions defined in the system of the embodiment of the present disclosure are performed. According to the embodiment of the present disclosure, the systems, devices, means, modules, units, etc. described above can be implemented by computer program modules.

[0147] According to an embodiment of the present disclosure, the program code for executing the computer program provided by the embodiment of the present disclosure can be written in any combination of one or more programming languages. Specifically, these computer programs can be implemented using high-level procedural and / or object-oriented programming languages, and / or assembly / machine languages. Programming languages ​​include, but are not limited to, languages ​​such as Java, C++, Python, "C" or similar programming languages. The program code can be executed entirely on the user computing device, partially on the user device, partially on a remote computing device, or entirely on a remote computing device or server. In cases involving a remote computing device, the remote computing device can be connected to the user computing device through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computing device (for example, using an Internet service provider to connect via the Internet).

[0148] The flowcharts and block diagrams in the accompanying drawings illustrate the possible implementation architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each box in the flowchart or block diagram can represent a module, program segment, or a part of code, and the above-mentioned module, program segment, or a part of code contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in an order different from that marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram or flowchart, and the combination of boxes in the block diagram or flowchart, can be implemented with a dedicated hardware-based system that performs the specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0149] Those skilled in the art will appreciate that the features described in the various embodiments of the present disclosure may be combined and / or coupled in various ways, even if such combinations or couplings are not explicitly described in the present disclosure. In particular, the features described in the various embodiments of the present disclosure may be combined and / or coupled in various ways without departing from the spirit and teachings of the present disclosure. All such combinations and / or couplings fall within the scope of the present disclosure.

[0150] The above describes the embodiments of the present disclosure. However, these embodiments are for illustrative purposes only and are not intended to limit the scope of the present disclosure. Although each embodiment has been described separately above, this does not mean that the measures in each embodiment cannot be advantageously used in combination. Without departing from the scope of the present disclosure, those skilled in the art may make various substitutions and modifications, which should all fall within the scope of the present disclosure.

Claims

1. A method for obtaining a Thomson scattered light spectrum using particle simulation, characterized in that: The obtaining method includes: The coherent scattering of plasma and probe light is simulated using particle simulation method to obtain the electromagnetic field distribution of the scattered light; Performing Fourier transform on the electromagnetic field distribution of the scattered light to obtain an electromagnetic field spectrum; screening the electromagnetic field spectrum to obtain a scattered light spectrum; The scattered light spectrum is smoothed to remove noise, thereby obtaining a Thomson scattered light spectrum.

2. The method according to claim 1, wherein: The method of using a particle simulation method to simulate the coherent scattering of plasma and probe light to obtain the electromagnetic field distribution of the scattered light includes: Setting the state parameters of the plasma and the frequency of the probe light so that the plasma and the probe light undergo coherent scattering to generate scattered light; The volume of the scattering volume and the volume of the detection area are set to sample the electromagnetic wave signal of the scattered light having the scattering volume in the detection area to obtain the electromagnetic field distribution of the scattered light.

3. The method according to claim 2, wherein: Also includes: The sampling grid parameters of the detection area are set to meet the sampling requirements for obtaining the electromagnetic field distribution of the scattered light.

4. The method according to claim 1, wherein: The obtaining method further comprises: Based on a plurality of different preset collision intensities, the particle simulation method is used to simulate a plurality of collisions of different degrees between charged particles of the plasma, and Thomson scattered light spectra under a plurality of different collision intensities are obtained.

5. The method according to claim 1, wherein: The screening of the electromagnetic field spectrum to obtain a scattered light spectrum includes: The electromagnetic field spectrum is screened according to the three-wave matching relationship of Thomson scattering to obtain the scattered light spectrum; wherein the three-wave matching relationship of Thomson scattering includes the frequency relationship and wave vector relationship of the scattered light, the probe light and the plasma.

6. The method according to claim 5, characterized in that: The method of screening the electromagnetic field spectrum according to the three-wave matching relationship of Thomson scattering to obtain the scattered light spectrum includes: According to the three-wave matching relationship of Thomson scattering and based on a plurality of different preset scattering angles, the electromagnetic field spectrum is screened to obtain a plurality of Thomson scattered light spectra at different preset scattering angles.

7. The obtaining method according to claim 1, characterized in that: The step of smoothing the scattered light spectrum to remove noise and obtain a Thomson scattered light spectrum comprises: Based on a preset spectrum resolution, a smoothing process of a preset window width is performed on the scattered light spectrum to remove noise, thereby obtaining the Thomson scattered light spectrum.

8. The method according to claim 1, characterized in that: The obtaining method further comprises: Based on the multiple Thomson scattered light spectra, statistical averaging calculation is performed to obtain the averaged Thomson scattered light spectrum for further noise removal.

9. A device for obtaining Thomson scattered light spectrum using particle simulation, characterized in that: The obtaining device comprises: A module is obtained, which is used to simulate the coherent scattering of plasma and probe light by using a particle simulation method to obtain the electromagnetic field distribution of the scattered light; A Fourier transform module, configured to perform Fourier transform on the electromagnetic field distribution of the scattered light to obtain an electromagnetic field spectrum; A screening module, configured to screen the electromagnetic field spectrum to obtain a scattered light spectrum; The denoising module is used to smooth the scattered light spectrum to remove noise and obtain a Thomson scattered light spectrum.

10. An electronic device comprising: one or more processors; a memory for storing one or more computer programs, It is characterized in that the one or more processors execute the one or more computer programs to implement the steps of the method according to any one of claims 1 to 8.

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