Self-adaptive calibration high-frequency test method and system

Abstract

The invention discloses a self-adaptive calibration high-frequency test method and a self-adaptive calibration high-frequency test system. The method relates to the technical field of magnetic variable measurement, and comprises the following steps: quantizing signal interference; optimizing signal interference; and performing uniformity influence quantification and magnetic field uniformity optimization. According to the method, the quantization result of signal interference is obtained through the obtained signal interference parameters, whether signal interference optimization is carried out or not is judged, if yes, the magnetic field uniformity test is carried out after the signal interference optimization is qualified, otherwise, the magnetic field uniformity test is directly carried out, and the uniformity influence parameters are obtained; and obtaining a magnetic field uniformity influence coefficient in combination with the obtained uniformity influence parameter, judging whether magnetic field uniformity optimization is carried out or not, if so, carrying out high-frequency test after the magnetic field uniformity optimization is qualified, otherwise, directly carrying out high-frequency test, thereby improving the high-frequency test accuracy. The problem of low high-frequency test accuracy caused by sample position deviation in the prior art is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of measuring magnetic variables, and in particular to a high-frequency testing method and system for adaptive calibration. Background Art

[0002] In the field of high-frequency testing, particularly in complex testing scenarios involving low or high temperatures, the sample holder is first mounted on the mobile slide of the high-frequency test system during the test preparation phase. A temporary or preliminary fixation is employed to allow for subsequent precise adjustments. The sample holder and its supported sample (such as a film or block) are then scanned using an inductive sensor array. These sensors can non-contactly detect the geometric features of the holder or sample. Based on this geometric information, key parameters such as the precise coordinates of the sample center and the direction of the sample surface normal are calculated, and their positions relative to the reference coordinate system established for the high-frequency test are determined. This step establishes the sample's initial baseline geometry. Next, the entire high-frequency test environment (including the sample and slide) is placed in a low- or high-temperature environment to simulate actual operating conditions. Under these conditions, high-precision magnetic field measurement equipment, such as a Hall effect probe array, is used to precisely measure the magnetic field strength and direction at each point in space, creating a three-dimensional spatial model of the magnetic field uniformity zone. This model not only identifies the core region of most uniform magnetic field strength but also defines the center location, effective dimensions (length, width, and height), and the boundary where magnetic field uniformity meets the required standard. The sample's initial baseline geometry, previously acquired, is then matched and calculated against the three-dimensional model of the magnetic field homogeneity zone. The core objective is to precisely position the sample's sensitive areas (e.g., the resonance region) at the geometric center of the magnetic field homogeneity zone. The sample is driven by a motor, moving it to the target magnetic flux position, including translational distances in the X, Y, and Z axes and rotational angles around those three axes. The slide adjusts based on the calculated adjustments, striving to position the sample at the center of the magnetic field homogeneity zone.

[0003] For example, the Chinese invention patent publication number CN106950518A discloses a ferromagnetic resonance testing device and method, which includes: a base and a sample loading assembly arranged on the base, wherein the sample loading assembly includes: a translation assembly, a first rotation assembly and a sample platform for carrying the sample to be tested; the first rotation assembly is connected to the sample platform and drives the sample platform to rotate within any angle of the first plane where the sample platform is located; the translation assembly is connected to the sample platform and is used to move the sample platform to separate the sample to be tested and the planar waveguide.

[0004] For example, the Chinese invention patent with publication number CN115421083A discloses a magnetic field testing device and method based on a high-frequency magnetic sensor, which includes: a rotating base that can rotate around its center; a rotating rod, one end of which is set on the center; a sample base, set at the other end of the rotating rod, used to set a GSG sheet and a GSG binding wire, the GSG binding wire is set on the GSG sheet and connected to the sensor to be tested; a bias device, connected to the other end of the GSG binding wire; a high-frequency source, used to provide a high-frequency signal, connected to the bias device; a phase-locked amplifier, respectively connected to the high-frequency source and the bias device; and two electromagnets, symmetrically arranged on both sides of the rotation axis of the rotating rod.

[0005] The above technology has at least the following technical problems:

[0006] During low- or high-temperature high-frequency testing, samples must be placed in precisely controlled magnetic fields and temperatures for performance testing. Existing sample rods are typically secured close to the high-frequency test equipment using only flanges and O-rings, lacking rigid support. In these environments, thermal expansion and contraction or mechanical vibration can easily cause the sample rod to tilt, causing the sample to deviate from the uniform magnetic field. If the sample is not in this uniform magnetic field, the actual magnetic flux measured will not match the standard value. After long-term use, residual magnetic fields or coil defects may develop, causing the magnetic field distribution to deviate from the ideal state, further exacerbating magnetic field inhomogeneities and leading to low high-frequency test accuracy due to sample position offset. Summary of the Invention

[0007] In order to solve the problem of low high-frequency test accuracy caused by sample position offset in the prior art, the embodiment of the present invention provides a high-frequency test method and system with adaptive calibration. The technical solution is as follows:

[0008] On the one hand, a high-frequency testing method with adaptive calibration is provided, including: before the high-frequency test, using a three-dimensional magnetic Hall sensor to monitor the magnetic field strength of the moving slide and obtain corresponding signal interference parameters, and at the same time quantifying the degree of interference of the ferromagnetic resonance signal based on the obtained signal interference parameters; judging whether to perform signal interference optimization based on the quantified result of the signal interference, if so, performing a magnetic field uniformity test after the signal interference optimization is qualified, otherwise directly performing a magnetic field uniformity test and obtaining uniformity influencing parameters, signal interference optimization means performing temperature drift compensation optimization to reduce the measurement error of the ferromagnetic resonance signal caused by temperature interference, and performing coil current compensation optimization to reduce the measurement error of the ferromagnetic resonance signal caused by coil current instability; combining the obtained uniformity influencing parameters to obtain a magnetic field uniformity influence coefficient to characterize the degree of influence of magnetic field inhomogeneity on the ferromagnetic resonance signal measurement; judging whether to perform magnetic field uniformity optimization based on the magnetic field uniformity influence coefficient, if so, performing a high-frequency test after the magnetic field uniformity optimization is qualified, otherwise directly performing a high-frequency test, magnetic field uniformity optimization means pre-setting the magnetic field to determine the direction of the magnetic field change, and then optimizing the sample displacement to improve the adaptability of the sample to the magnetic flux distribution of the magnetic field.

[0009] On the other hand, an adaptively calibrated high-frequency testing system is provided, including: a signal interference parameter quantification module, a signal interference optimization module, a uniformity influence parameter quantification module and a magnetic field uniformity optimization module: wherein the signal interference parameter quantification module is used to use a three-dimensional magnetic Hall sensor to monitor the magnetic field strength of the movable slide and obtain the corresponding signal interference parameters before the high-frequency test; the signal interference optimization module is used to determine whether to perform signal interference optimization based on the quantification result of the signal interference. If so, a magnetic field uniformity test is performed after the signal interference optimization is qualified; otherwise, a magnetic field uniformity test is directly performed and the uniformity influence parameters are obtained; the uniformity influence parameter quantification module is used to combine the obtained uniformity influence parameters to obtain a magnetic field uniformity influence coefficient to characterize the degree of influence of magnetic field inhomogeneity on ferromagnetic resonance signal measurement; the magnetic field uniformity optimization module is used to determine whether to perform magnetic field uniformity optimization based on the magnetic field uniformity influence coefficient. If so, a high-frequency test is performed after the magnetic field uniformity optimization is qualified; otherwise, a high-frequency test is directly performed.

[0010] The beneficial effects brought about by the technical solution provided by the embodiment of the present invention include at least:

[0011] 1. The magnetic field strength of the moving slide is monitored using a three-dimensional magnetic Hall effect sensor and the corresponding signal interference parameters are obtained. The ferromagnetic resonance signal interference coefficient is then derived based on the obtained signal interference parameters. The ferromagnetic resonance signal interference coefficient quantifies the degree of interference with the ferromagnetic resonance signal. The ferromagnetic resonance signal interference coefficient is then used to determine whether signal interference optimization should be performed to improve the reliability of ferromagnetic resonance signal monitoring. If so, temperature drift compensation optimization is performed to reduce ferromagnetic resonance signal measurement errors caused by temperature interference. Coil current compensation optimization is also performed to reduce ferromagnetic resonance signal measurement errors caused by coil current instability. After signal interference optimization, a magnetic field uniformity test is performed. Otherwise, a magnetic field uniformity test is performed directly to obtain uniformity influencing parameters. The magnetic field uniformity influencing coefficient is then derived based on the obtained uniformity influencing parameters, and it is determined whether magnetic field uniformity optimization should be performed to improve magnetic field uniformity. If so, a magnetic field pre-setting is performed to determine the direction of magnetic field change. Sample displacement is then optimized to improve the compatibility between the sample and the magnetic flux distribution. High-frequency testing is then performed after optimization, thereby improving the accuracy of the entire link from ferromagnetic resonance signals to high-frequency testing, thereby enhancing the accuracy of high-frequency testing.

[0012] 2. The ferromagnetic resonance signal interference coefficient is used to determine whether signal interference optimization should be performed to solve the problem of ferromagnetic resonance signal interference. If so, the average temperature of the sample is used to determine whether temperature drift compensation optimization should be performed to reduce the measurement error of the ferromagnetic resonance signal caused by temperature interference, thereby ensuring the stability of the ferromagnetic resonance signal frequency characteristics. The average magnetic induction intensity is used to determine whether coil current compensation optimization should be performed to reduce the measurement error of the ferromagnetic resonance signal caused by coil current instability, thereby providing standardized input for high-frequency testing, thereby reducing the distortion of the ferromagnetic resonance signal caused by transient changes in magnetic field intensity and improving the stability of ferromagnetic resonance signal measurement.

[0013] 3. The magnetic field uniformity influence coefficient is used to determine whether to optimize the magnetic field uniformity to solve the problem of affected magnetic field uniformity. If so, the magnetic field strength of the current position of the sample during the magnetic field pre-setting process is compared with the magnetic field strength of the sample's starting position to determine the movement direction of the sample during the magnetic field pre-setting process to quantify the magnetic field gradient distribution and determine the optimal magnetic field uniformity direction. After determining the direction of the magnetic field change, the magnetic field change gradient is used to determine whether to optimize the sample displacement to improve the compatibility between the sample and the magnetic field flux distribution. The sample is then driven by a motor to move to the target position to achieve real-time matching of the sample position and the magnetic field distribution, thereby achieving accuracy improvement from magnetic field homogenization optimization to high-frequency testing methods. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments.

[0015] Figure 1 A flow chart of a high-frequency testing method for adaptive calibration provided by an embodiment of the present invention;

[0016] Figure 2 A structural diagram of an FMR sample holder provided in an embodiment of the present invention;

[0017] Figure 3 A diagram showing the structure and main components of a ferromagnetic resonance rotation module provided in an embodiment of the present invention;

[0018] Figure 4 This is a diagram showing the main interface of the test software for a high-frequency test method with adaptive calibration provided by an embodiment of the present invention;

[0019] Figure 5 A pop-up window corresponding to the Sequence command of a high-frequency test method for adaptive calibration provided by an embodiment of the present invention;

[0020] Figure 6 A flow chart of temperature drift compensation optimization for a high-frequency test method with adaptive calibration provided by an embodiment of the present invention;

[0021] Figure 7 A flowchart of coil current compensation optimization for a high-frequency testing method with adaptive calibration provided by an embodiment of the present invention;

[0022] Figure 8 Schematic diagram of the sample holder provided in an embodiment of the present invention being installed into the ColdTUBE low-temperature superconducting magnet system;

[0023] Figure 9 A schematic structural diagram of a high-frequency test system with adaptive calibration provided by an embodiment of the present invention;

[0024] Figure 10 A diagram illustrating the ferromagnetic resonance test principle of a high-frequency test method with adaptive calibration provided by an embodiment of the present invention;

[0025] Figure 11 A diagram of the test software status bar interface and communication address setting interface for a high-frequency test method with adaptive calibration provided by an embodiment of the present invention;

[0026] Figure 12 A high-temperature-temperature test diagram of a high-frequency test method with adaptive calibration provided by an embodiment of the present invention;

[0027] Figure 1: Coil connector (SMA-F); 2. Scale plate; 3. Coplanar waveguide; 4. Helmholtz coil; 5. RF connector (2.92 / SMA-F); 6. DC measurement connector (Lemo-14Pin); 7. Thermal radiation screen; 8. Coil connector (BNC-F); 9. DC measurement connector (aviation plug-19Pin); 11. Temperature control connector (aviation plug-10Pin); 12. Mounting flange (KF40 / KF50); 13. Modulation coil; 14. DC electrode; 15. Coplanar waveguide; 16. Temperature control module. DETAILED DESCRIPTION

[0028] In order to make the technical problems, technical solutions and advantages to be solved by the present invention clearer, a detailed description will be given below with reference to the accompanying drawings and specific embodiments.

[0029] like Figure 1 FIG. 1 is a flow chart of a high-frequency testing method for adaptive calibration provided by an embodiment of the present invention. The processing flow of the method may include the following steps:

[0030] Before the high-frequency test, a three-dimensional magnetic Hall sensor is used to monitor the magnetic field strength of the moving slide and obtain the corresponding signal interference parameters. The three-dimensional magnetic Hall sensor is a cubic sensor equipped with several Hall elements. It is configured to measure the three-dimensional air gap magnetic field and quantify the degree of interference of the ferromagnetic resonance signal based on the obtained signal interference parameters. According to the quantified result of the signal interference (i.e., the ferromagnetic resonance signal interference coefficient), it is judged whether to perform signal interference optimization. If so, a magnetic field uniformity test is performed after the signal interference optimization is qualified. Otherwise, a magnetic field uniformity test is directly performed and uniformity influencing parameters are obtained. Signal interference optimization means optimizing the temperature drift compensation to reduce The measurement error of the ferromagnetic resonance signal caused by temperature interference, and the coil current compensation optimization are performed to reduce the measurement error of the ferromagnetic resonance signal caused by the instability of the coil current; the magnetic field uniformity influence coefficient is obtained by combining the obtained uniformity influence parameters to characterize the degree of influence of the magnetic field inhomogeneity on the ferromagnetic resonance signal measurement; according to the magnetic field uniformity influence coefficient, it is judged whether to perform magnetic field uniformity optimization. If so, high-frequency testing is performed after the magnetic field uniformity optimization is qualified, otherwise high-frequency testing is performed directly. The magnetic field uniformity optimization means pre-setting the magnetic field to determine the direction of the magnetic field change, and then optimizing the sample displacement to improve the adaptability of the sample and the magnetic field flux distribution.

[0031] It should be noted that qualified signal interference optimization means that the ferromagnetic resonance signal interference coefficient is less than or equal to the ferromagnetic resonance signal interference set value, where if signal interference optimization is performed, the corresponding ferromagnetic resonance signal interference coefficient is the corresponding data obtained after the signal interference optimization; qualified magnetic field uniformity optimization means that the magnetic field uniformity influence coefficient is less than or equal to the magnetic field uniformity influence set value, where if magnetic field uniformity optimization is performed, the corresponding magnetic field uniformity influence coefficient is the corresponding data obtained after the magnetic field uniformity optimization. Ferromagnetic resonance, in simple terms, is the precession resonance of the spins in electrons, which can be excited by a high-frequency microwave magnetic field or electric field. Similarly, temperature will also affect the perturbation of the spins.

[0032] In this embodiment, the present invention takes "ferromagnetic resonance signal interference elimination-magnetic field uniformity optimization-high-frequency testing" as the core logic. Through this core logic process, it realizes the interference elimination from the source of the ferromagnetic resonance signal to the precise uniformity optimization of the magnetic field environment, and ultimately ensures that the high-frequency testing link obtains high-quality ferromagnetic resonance signal input, significantly improves the measurement accuracy and stability of the ferromagnetic resonance signal, and reduces the measurement error caused by ferromagnetic resonance signal interference.

[0033] It should be noted that the test sample holders come in two types: a cryogenic sample holder and a room-temperature rotation test module. The cryogenic sample holder is compatible with most third-party low-temperature superconducting magnet platforms and is suitable for ferromagnetic resonance measurements in the temperature range of 1.6K-400K and magnetic fields of 0-14T. The room-temperature rotation test module is compatible with most electromagnet platforms and is suitable for ferromagnetic resonance measurements at room temperature in the magnetic field range of 0-2T. It also supports sample rotation.

[0034] In practical applications, the design of FMR sample rods is very sophisticated in terms of material selection. In particular, the microwave test channel is made entirely of non-magnetic materials. This is done to minimize the impact of noise and background signals on the measurement results and ensure test accuracy. The core measurement component of this sample rod is a straight-through coplanar waveguide. During testing, the sample can be directly placed on the surface of the coplanar waveguide to perform relevant measurements. FMR sample rods are mainly divided into two structures. One is a structure in which the magnetic field is parallel to the sample plane, such as Figure 2As shown in the figure, it is a structural diagram of the FMR sample rod provided by an embodiment of the present invention. Non-magnetic materials are used for processing on the microwave test channel to minimize the influence of noise and background signals. The RF channel of the FMR sample rod is composed of a coaxial cable, a coaxial adapter and a coplanar waveguide. Its core measurement component is a straight coplanar waveguide, and the sample is placed directly on the surface of the coplanar waveguide for testing. The other is a structure in which the magnetic field is perpendicular to the sample plane. In addition, all sample rods can be equipped with an adaptive rotary motor. With the help of the rotary motor, the sample rod can be rotated along the Z axis, thereby realizing ferromagnetic resonance testing under the condition of changing magnetic field angle.

[0035] It's important to note that when designing an adaptively calibrated high-frequency test system, a dedicated high-frequency test database was first created to store core configuration information. This database contains various settings essential for system operation, such as the sample rod tilt angle, microwave frequency, temperature variation, and ferromagnetic resonance signal interference. These initial settings are not arbitrarily assigned but are calculated by summing and averaging a large amount of previously accumulated field data in the high-frequency test database. This approach ensures that the initial settings are more objective and reflective of prevailing conditions. Of course, given the complex and ever-changing application environment and the potential for new issues to arise during system debugging, these values ​​in the high-frequency test database are not fixed. Technicians can manually set, adjust, or fine-tune these settings at any time based on the system's performance during actual testing to ensure continuous system optimization and optimal operation.

[0036] Among them, it is necessary to explain that Figure 3As shown in the figure, the structure and main components of the ferromagnetic resonance rotation module provided by the embodiment of the present invention are shown. The coil connector (SMA-F) 1 is used to connect an external circuit or instrument to power the Helmholtz coil 4 so that the Helmholtz coil 4 generates a uniform magnetic field. The dial 2 is connected to the stepper motor and is used to indicate the angle of the coplanar waveguide 3. When the stepper motor rotates, it drives the coplanar waveguide 3 to rotate together, and the dial 2 displays the current rotation angle. The coplanar waveguide (CPW) 3 is the core component of the ferromagnetic resonance experiment. The sample is placed on its surface. The CPW design allows microwave signals to propagate along its length and interact with the sample. The Helmholtz coil 4 is a modulation coil that generates an alternating magnetic field necessary to excite the sample's ferromagnetic resonance. The coil connector (SMA-F) 1 provides power. The RF connector (2.92 / SMA-F) 5 ​​is used to connect to an RF signal source or spectrum analyzer to send and receive microwave signals, which are used to excite and detect the sample's ferromagnetic resonance. The DC measurement connector (Lemo-14Pin) 6 is used to connect to a DC power supply or other measuring instruments to provide additional power or perform other types of measurements. The ferromagnetic resonance rotation module integrates a stepper motor to control the angle of the CPW, allowing the sample to rotate 0°-360° relative to the magnetic field. Its core measurement component is a straight-through CPW 3, which places the sample directly on the CPW surface for testing. After determining the direction of the increasing magnetic field, a target position (a time- or speed-based movement instruction) is set. This target position (or target movement amount) serves as the setpoint for a PID (Proportional-Integral-Derivative) controller. The actual position (or actual movement amount) of the motor serves as the process variable. Based on the magnitude and rate of change of the error, the PID controller calculates the corresponding control output (usually a voltage or current signal). The PID controller's output signal is sent to the motor driver, which drives the motor to move the sample module by the precise calculated amount, moving it in the direction of the increasing magnetic field.

[0037] It should be noted that if Figure 4The figure shows the main interface of the test software for a high-frequency test method with adaptive calibration provided by an embodiment of the present invention. In this integrated interface, the top area displays the title "Multi-Function Measurement System", indicating that this is a software interface for multiple measurements; the left area has a series of blue buttons, each with a corresponding icon next to it, representing different measurement functions or operation options. For example, some buttons may be used to start, stop, or save measurements. There is a large blank area in the middle area, which is a window for displaying measurement results or other related information. Above this area are some smaller text boxes for entering parameters or setting measurement conditions. When the test software for the high-frequency test method is running, the blank area in the middle area will display cavity status information such as magnetic field, temperature, and angle, and free programming testing can be achieved by stacking command lines.

[0038] like Figure 5 As shown, a pop-up window corresponding to the Sequence command of a high-frequency test method for adaptive calibration provided by an embodiment of the present invention is shown. The Sequence command button is used to control the execution of the current test Sequence. The window that pops up when each button is clicked is shown, and the functions of each button are: Start: Start running the test in the order of commands in the Sequence, and you can choose to start the run at the starting position or the highlighted position; Save: Save the current Sequence, and save the currently edited Sequence as a text file locally on the computer; Open: Open a local text file as a Sequence; Pause: Pause the Sequence, and do not continue to execute the next line of commands after executing the current line of commands; After clicking Pause, the button will change to Continue, and clicking it again will continue to execute the Sequence; Clear: Clear all commands in the current Sequence box; Plot: Draw images in real time during the test. Clicking it will pop up the Curve-Plotting dialog box, and you can select the XY axis of the image to be drawn. Three images can be drawn at the same time.

[0039] The paper further explains that the signal interference parameters specifically include the sample rod tilt angle, microwave frequency, and temperature variation. The degree of interference with the ferromagnetic resonance signal is quantified based on the obtained signal interference parameters. Specifically, a signal interference setting value and a signal interference correction value are obtained from a constructed high-frequency test database. The signal interference correction value is used to correct the ratio analysis results of the signal interference parameter and the signal interference setting value to obtain the ferromagnetic resonance signal interference coefficient. The ratio analysis represents a division operation. The signal interference setting value specifically includes the sample rod tilt angle setting value, the microwave frequency setting value, and the temperature variation setting value. The signal interference correction value specifically includes the sample rod tilt angle correction value, the microwave frequency correction value, and the temperature variation correction value.

[0040] The ferromagnetic resonance signal interference coefficient is the interference degree of the ferromagnetic resonance signal reflected by the signal interference parameter and the signal interference setting value, that is, the quantitative result of the signal interference.

[0041] The specific limiting expression of the ferromagnetic resonance signal interference coefficient is obtained as follows:

[0042] ;

[0043] ;

[0044] Where D represents the ferromagnetic resonance signal interference coefficient. Q1 represents the sample rod tilt angle correction value obtained from the high-frequency test database. A represents the sample rod tilt angle, which is the angle of deviation of the sample rod from its preset vertical and horizontal positions as measured by the MEMS gyroscope. A1 represents the sample rod tilt angle setting value obtained from the high-frequency test database. Due to environmental factors such as vibration, the sample rod tilt angle may have non-zero offsets. Therefore, the sample rod tilt angle setting value obtained from the high-frequency test database is not zero to accommodate variations in the sample rod tilt angle caused by physical interference in actual test scenarios. A larger sample rod tilt angle causes the sample to deviate from the magnetic field homogeneity zone, inducing a magnetic field gradient effect, which increases the ferromagnetic resonance signal interference coefficient. Q2 represents the microwave frequency correction value obtained from the high-frequency test database. B represents the microwave frequency, which is the oscillation frequency of the electromagnetic wave measured by the spectrum analyzer within the microwave frequency range. B1 represents the microwave frequency setting value obtained from the high-frequency test database. A larger deviation between the microwave frequency and the ferromagnetic resonance frequency results in a more pronounced signal attenuation and a phase shift, which in turn increases the ferromagnetic resonance signal interference coefficient. Q3 represents the temperature change correction value obtained from the high-frequency test database. C represents the temperature change, which is the absolute difference between the initial and final temperatures of the sample measured over the wide temperature range. This difference is recorded as the temperature change, reflecting the temperature change over the wide temperature range. C1 represents the set temperature change value obtained from the high-frequency test database. A greater temperature change alters the magnetic field uniformity, making it more likely to excite spin waves, leading to increased distortion of the ferromagnetic resonance signal and a higher interference coefficient for the ferromagnetic resonance signal.

[0045] It's important to note that the high-frequency test database stores three types of corrections corresponding to signal interference parameters: sample rod tilt angle correction, microwave frequency correction, and temperature variation correction. These corrections typically range from 0 to 1, and the sum of these three corrections is always 1. A pre-defined mapping exists between the signal interference parameters and the three corresponding corrections. This association can be either one-to-one or many-to-one. For example, in actual applications, real-time signal interference parameters can be substituted into this mapping to quickly retrieve the corresponding corrections.

[0046] At the same time, there is a correlation between the parameters involved in the ferromagnetic resonance signal interference coefficient, as follows: the higher the microwave frequency, the stronger the microwave absorption, which causes the sample's own temperature to rise, and the higher the temperature change; the higher the temperature change, the change in the sample's magnetic properties, which will directly lead to the ferromagnetic resonance peak position shift and the sample shape change, the larger the sample rod tilt angle; the larger the sample rod tilt angle, the higher the coupling efficiency, resulting in stronger microwave heating, and the higher the microwave frequency, the greater the temperature change.

[0047] In this embodiment, understanding the correlation between the sample rod tilt angle, microwave frequency and temperature change helps to monitor signal interference parameters in real time, avoid sample temperature drift caused by coupling, and construct a cross-domain control framework of mechanical posture-electromagnetic parameters-thermal effects; by understanding the positive and negative correlations between the sample rod tilt angle, microwave frequency and temperature change and the ferromagnetic resonance signal interference coefficient, it helps to build a "cause-effect-response" control link of ferromagnetic resonance signal interference, thereby improving the measurement accuracy of ferromagnetic resonance signals.

[0048] Furthermore, the specific judgment steps for determining whether to perform signal interference optimization are as follows: obtaining the ferromagnetic resonance signal interference setting value from the constructed high-frequency test database; if the ferromagnetic resonance signal interference coefficient is less than or equal to the ferromagnetic resonance signal interference setting value, signal interference optimization is not performed; if the ferromagnetic resonance signal interference coefficient is greater than the ferromagnetic resonance signal interference setting value, then judging whether to perform temperature drift compensation optimization based on the average temperature of the sample, if so, judging whether to perform coil current compensation optimization after performing temperature drift compensation optimization, otherwise directly judging whether to perform coil current compensation optimization; the average temperature of the sample represents the average value of the temperature of the sample at the test time point in the wide temperature range.

[0049] It should be noted that if Figure 6 As shown, it is a flow chart of temperature drift compensation optimization of a high-frequency test method with adaptive calibration provided by an embodiment of the present invention. The specific logic is: compare the average temperature of the sample with the preset maximum sample temperature. If the average temperature of the sample is greater than the preset maximum sample temperature, the harmonic average result of the signal interference correction amount and the temperature correction amount is subjected to temperature effective value processing to obtain the temperature compensation amount. Otherwise, it is determined whether the average temperature of the sample is within the preset sample temperature standard range. If the average temperature of the sample is within the preset sample temperature standard range, temperature drift compensation optimization is not performed. Otherwise, the harmonic average result of the signal interference correction amount and the temperature influence amount is subjected to temperature effective value processing to obtain the temperature correction amount.

[0050] As a further specific explanation, the specific steps for determining whether to perform temperature drift compensation optimization are as follows:

[0051] If the average sample temperature is greater than the preset maximum sample temperature, the signal interference correction amount and the temperature correction amount are harmonically averaged to avoid over-compensation or under-compensation caused by a single factor. The harmonic average result is subjected to temperature effective value processing to obtain a temperature compensation amount. The sample temperature is lowered based on the difference between the current sample temperature and the temperature compensation amount. The sample temperature adjustment and the stability of the ferromagnetic resonance signal are weighed so that the temperature compensation amount can both lower the temperature and suppress new interference caused by a sudden drop in temperature. The sample is cooled by a cooler, wherein the cooler is located near the sample and establishes a close heat exchange relationship with the sample through a specific sample holder and a conduit (such as for cooling gas).

[0052] It should also be noted that the signal interference correction amount represents the difference between the ferromagnetic resonance signal interference coefficient and the ferromagnetic resonance signal interference setting value, the temperature correction amount represents the difference between the average sample temperature and the preset maximum sample temperature, and the temperature effective value processing means that the harmonic average result is accurate to two decimal places to ensure that the sample temperature is adjustable. The main purpose of retaining two decimal places is to ensure the actual operability of the temperature compensation amount while ensuring the calculation accuracy.

[0053] If the average sample temperature is within the preset sample temperature standard range, it means that the sample temperature is considered to be in a stable and suitable state and can meet the requirements of the ferromagnetic resonance signal test. In this case, temperature drift compensation optimization is not performed to avoid unnecessary intervention. The preset sample temperature standard range represents a closed interval formed by the preset sample temperature minimum value and the preset sample temperature maximum value.

[0054] If the average sample temperature is less than the preset minimum sample temperature, the harmonic mean of the signal interference correction and the temperature effect is processed to obtain the effective temperature value. This temperature correction is then added to the current sample temperature to raise the sample temperature. This can eliminate the degradation of the sample's magnetic performance and the attenuation of the ferromagnetic resonance signal caused by low temperatures. The sample is heated by a heater to compensate for changes in the sample's physical properties (such as thermal expansion and contraction, and changes in electrical conductivity) caused by low temperatures, allowing the sample to quickly return to the standard temperature. This eliminates measurement errors caused by sample temperature interference at the data processing level. The temperature effect represents the difference between the preset minimum sample temperature and the average sample temperature.

[0055] In this embodiment, an adaptive temperature regulation system is constructed through a "dynamic quantization deviation - differentiated compensation - high-precision control" approach, significantly enhancing high-frequency testing stability, energy efficiency, and environmental adaptability. By adjusting the sample temperature to compensate for changes in the sample's physical properties (such as thermal expansion and contraction, and changes in electrical conductivity) caused by low temperatures, this system can drive temperature-control devices (such as heating elements and semiconductor coolers) to perform reverse regulation. Furthermore, at the data processing level, it can calibrate the raw sensor output signal, eliminating measurement errors caused by temperature interference.

[0056] It should be noted that if Figure 7As shown, it is a flowchart of the coil current compensation optimization of the high-frequency test method with adaptive calibration provided by an embodiment of the present invention. The specific logic is: the average magnetic induction intensity judgment is compared with the preset maximum magnetic induction intensity. If the average magnetic induction intensity judgment is greater than the preset maximum magnetic induction intensity, the harmonic average result of the signal interference judgment correction amount and the magnetic induction intensity deviation correction amount is processed on the coil current effective value to obtain the coil current compensation amount. Otherwise, it is judged whether the average magnetic induction intensity is within the preset magnetic induction intensity standard range. If so, the coil current compensation optimization is not performed. Otherwise, the harmonic average result of the signal interference judgment correction amount and the magnetic induction intensity deviation correction amount is processed on the coil current effective value to obtain the coil current correction amount.

[0057] As a further specific explanation, the specific steps for determining whether to perform coil current compensation optimization are as follows:

[0058] In step 1, if temperature drift compensation optimization has been performed, the ferromagnetic resonance signal interference coefficient obtained after optimization is recorded as the ferromagnetic resonance signal interference judgment value; otherwise, it is recorded as the ferromagnetic resonance signal interference judgment value. The purpose of re-acquiring the ferromagnetic resonance signal interference coefficient after temperature drift compensation optimization is to obtain real data based on the current and latest sample temperature state, reflecting the actual effect of temperature drift compensation optimization. The ferromagnetic resonance signal interference judgment value is the basis for subsequent accurate judgment and effective control of the system, ensuring that the entire adaptive calibration process can be dynamically adjusted according to actual conditions, ultimately achieving the goal of optimizing signal quality.

[0059] Step 2: Compare the ferromagnetic resonance signal interference judgment value with the ferromagnetic resonance signal interference setting value. If the ferromagnetic resonance signal interference judgment value is less than or equal to the ferromagnetic resonance signal interference setting value, the coil current compensation optimization is not performed, which means that the ferromagnetic resonance signal quality has been successfully optimized to an ideal state through the previous temperature drift compensation optimization. The coil current compensation optimization is not performed to avoid the risks and resource consumption that may be caused by unnecessary adjustments. Otherwise, execute step 3.

[0060] In step 3, if the average magnetic induction intensity is greater than the preset maximum magnetic induction intensity, the harmonic average of the signal interference determination correction amount and the magnetic induction intensity deviation correction amount is calculated and the result is accurate to one decimal place to determine the coil current compensation amount, avoiding overshoot or undershoot caused by a single factor. The purpose of accurate coil current compensation amount to one decimal place is to find a reasonable balance between control precision and test accuracy, ensuring that magnetic field regulation is both accurate and efficient, while avoiding problems caused by overshoot. Proportional-integral-differential control is used to reduce the coil current value based on the difference between the current coil current value and the coil current compensation amount, effectively suppressing ferromagnetic resonance signal distortion caused by unstable coil current. Real-time monitoring of magnetic induction intensity and dynamic adjustment of coil current can timely intervene and correct in the early stage of magnetic field intensity abnormality, preventing problems such as sample demagnetization caused by excessive magnetic field strength, and effectively avoiding test interruption or data failure. Otherwise, step 4 is executed. Wherein, the magnetic induction intensity deviation correction amount represents the difference between the average magnetic induction intensity and the preset maximum magnetic induction intensity, and the signal interference determination correction amount represents the difference between the ferromagnetic resonance signal interference determination value and the ferromagnetic resonance signal interference set value.

[0061] Step 4: If the average magnetic induction intensity is within the preset magnetic induction intensity standard range, the coil current compensation optimization is not performed, otherwise step 5 is executed. The preset magnetic induction intensity standard range represents a closed interval formed by the preset magnetic induction intensity minimum value and the preset magnetic induction intensity maximum value.

[0062] Step 5. If the average magnetic induction intensity is less than the preset minimum magnetic induction intensity, the harmonic average result of the signal interference judgment correction amount and the magnetic induction intensity deviation correction amount is calculated and accurate to one decimal place to determine the coil current compensation amount to avoid overshoot or undershoot caused by a single factor, and obtain the coil current correction amount. The coil current value is enhanced based on the result of adding the current coil current value and the coil current correction amount, and the magnetic field change is responded to in real time to reduce the lag effect. The measurement error caused by magnetic field drift can be reduced and the data accuracy can be improved. The magnetic induction intensity deviation correction amount represents the difference between the preset minimum magnetic induction intensity and the average magnetic induction intensity.

[0063] In this embodiment, a closed-loop control mechanism with different steps and conditions is used to achieve precise optimization of the coil current and dynamic stabilization of the magnetic field strength. This solution uses real-time monitoring and graded intervention to intervene and correct the abnormal magnetic field strength at the early stage, significantly improving the stability of ferromagnetic resonance signal measurement and the stability of equipment operation, reducing the risk of test interruption, and ensuring the continuity and efficiency of the experiment. By real-time monitoring, calculating deviations, and applying corresponding adjustments to compensate for the coil current, a complete control loop is formed that can actively respond to and correct deviations. In magnetic measurements, changes in sample temperature can affect its magnetic properties or signal output; in nuclear magnetic resonance, temperature can affect the relaxation time of the sample. Therefore, precise control of both the magnetic field and temperature is crucial to obtaining high-precision experimental results.

[0064] Furthermore, the uniformity influencing parameters specifically include the magnetic flux deviation and the ferromagnetic resonance peak position deviation; the specific steps for obtaining the magnetic field uniformity influencing coefficient are: obtaining the uniformity influencing setting value, the uniformity influencing correction value and the ferromagnetic resonance signal interference correction value from the constructed high-frequency test database, the uniformity influencing setting value specifically includes the magnetic flux deviation setting value and the ferromagnetic resonance peak position deviation setting value, the uniformity influencing correction value specifically includes the magnetic flux deviation correction value and the ferromagnetic resonance peak position deviation correction value; the uniformity influencing parameters and the proportion analysis results of the uniformity influencing setting value are corrected and coupled through the uniformity influencing correction value, and recorded as the first influencing indicator; if signal interference is performed If the ferromagnetic resonance signal interference coefficient is optimized, the ferromagnetic resonance signal interference coefficient obtained after optimization is recorded as the ferromagnetic resonance signal interference coefficient to be compared, otherwise the current ferromagnetic resonance signal interference coefficient is recorded as the ferromagnetic resonance signal interference coefficient to be compared; the ratio analysis result of the ferromagnetic resonance signal interference coefficient to be compared and the ferromagnetic resonance signal interference setting value is corrected by the ferromagnetic resonance signal interference correction amount, and recorded as the second influential index, wherein the ratio analysis result represents a division operation, and the first influential index and the second influential index are coupled to obtain the magnetic field uniformity influence coefficient. The larger the magnetic field uniformity influence coefficient is, the greater the influence of the magnetic field inhomogeneity on the ferromagnetic resonance signal measurement is, that is, the more inhomogeneous the magnetic field is.

[0065] It needs to be explained that no matter whether temperature drift compensation optimization or coil current compensation optimization is performed, these measures will change the factors affecting the ferromagnetic resonance signal (such as temperature change, etc.), and affect the final observed ferromagnetic resonance signal and its degree of interference. In order to ensure that the signal interference parameters used for subsequent comparison and decision-making can truly reflect the current system state, especially the state after signal interference optimization, the ferromagnetic resonance signal interference coefficient is re-obtained and recorded as the ferromagnetic resonance signal interference coefficient to be compared.

[0066] In this embodiment, the specific limiting expression of the first influential indicator is:

[0067] ;

[0068] Wherein, Y represents the first influential indicator. P1 represents the magnetic flux deviation correction amount obtained from the high-frequency test database, G represents the average magnetic flux obtained after averaging the magnetic flux of the sample in the magnetic field uniformity test measured in real time by the fluxmeter, and the deviation between the average magnetic flux and the preset magnetic flux target value is recorded as the magnetic flux deviation amount, and G1 represents the magnetic flux deviation setting value obtained from the high-frequency test database. The larger the magnetic flux deviation amount, the more drastic the magnetic field gradient or spatial variation, that is, the more non-uniform the magnetic field, and the greater the magnetic field uniformity influence coefficient. P2 represents the ferromagnetic resonance peak position deviation correction amount obtained from the high-frequency test database, F represents the average ferromagnetic resonance peak obtained after averaging the ferromagnetic resonance peak in the magnetic field uniformity test measured in real time by the ferromagnetic resonance spectrometer, and the average ferromagnetic resonance peak is compared with the preset ferromagnetic resonance peak standard value and recorded as the ferromagnetic resonance peak position deviation amount, and F1 represents the ferromagnetic resonance peak position deviation setting value obtained from the high-frequency test database. The greater the deviation of the ferromagnetic resonance peak position, the more significant the presence of different resonance magnetic field regions within the sample, which will inevitably lead to signal broadening and a greater influence coefficient of magnetic field uniformity.

[0069] The specific restriction expression of the second impact indicator is:

[0070] ;

[0071] Where W represents the second influential indicator. P3 represents the ferromagnetic resonance signal interference correction value obtained from the high-frequency test database, L represents the interference coefficient of the ferromagnetic resonance signal to be compared, and L1 represents the ferromagnetic resonance signal interference setting value obtained from the high-frequency test database. A larger interference coefficient of the ferromagnetic resonance signal to be compared indicates that the superposition of resonance signals from different magnetic moments broadens the originally sharp resonance peak, and the magnetic field uniformity influence coefficient increases.

[0072] The specific limiting expression of the magnetic field uniformity influence coefficient is obtained as follows:

[0073] ;

[0074] Where Q is the magnetic field uniformity influence coefficient.

[0075] It should be noted that the high-frequency test database stores three types of corrections corresponding to uniformity-affecting parameters: flux deviation correction, ferromagnetic resonance peak position deviation correction, and ferromagnetic resonance signal interference correction. These corrections typically range from 0 to 1, and the sum of these three types of corrections is always 1. Uniformity-affecting parameters are associated with these three corrections in a pre-defined mapping relationship, which can be either a one-to-one or many-to-one relationship. For example, in actual use, the real-time uniformity-affecting parameters can be substituted into this mapping relationship to quickly obtain the corresponding corrections.

[0076] At the same time, there is a correlation between the parameters involved in the magnetic field uniformity influence coefficient, as follows: the greater the magnetic flux deviation, that is, the more inhomogeneous the magnetic field, the greater the interference coefficient of the ferromagnetic resonance signal to be compared; the greater the magnetic flux deviation, the more serious signal distortion caused by the magnetic field inhomogeneity. For example, if a strong spin wave secondary peak appears, the position of the ferromagnetic resonance main peak detected by the instrument (such as a network analyzer) will shift due to the drag of the ferromagnetic resonance secondary peak or the signal superposition effect, and the greater the deviation of the ferromagnetic resonance peak position; the greater the interference coefficient of the ferromagnetic resonance signal to be compared, the more serious the signal distortion, the ferromagnetic resonance peak shape becomes very complex, and it is no longer a clear single peak, which means magnetic field inhomogeneity or high microwave power, and the greater the deviation of the ferromagnetic resonance peak position.

[0077] In summary, by understanding the correlation between the magnetic flux deviation, the ferromagnetic resonance peak position deviation and the interference coefficient of the ferromagnetic resonance signal to be compared, it is helpful to build a complete mapping link of "physical field distortion-signal distortion-characteristic offset" in ferromagnetic resonance testing, thereby improving the precise calibration of ferromagnetic resonance signal errors; by understanding the positive and negative correlation between the magnetic flux deviation, the ferromagnetic resonance peak position deviation and the magnetic field uniformity influence coefficient, it is helpful to build a complete mapping link of "physical quantity deviation-signal characteristic offset-uniformity influence coefficient quantification" in magnetic field uniformity optimization, thereby improving the adaptability of the sample to the magnetic flux distribution of the magnetic field.

[0078] Furthermore, the specific steps for determining whether to perform magnetic field uniformity optimization are as follows: obtaining a magnetic field uniformity influence setting value from a constructed high-frequency test database; if the magnetic field uniformity influence coefficient is less than or equal to the magnetic field uniformity influence setting value, then no magnetic field uniformity optimization is performed; if the magnetic field uniformity influence coefficient is greater than the magnetic field uniformity influence setting value, then first performing a magnetic field pre-setting to determine the direction of the magnetic field change, and after determining the direction of the magnetic field change, then determining whether to perform sample displacement optimization based on the magnetic field change gradient.

[0079] Specifically, the specific process of presetting the magnetic field is as follows:

[0080] S1, obtain the magnetic field strength of the current position of the sample during the magnetic field pre-setting process, and compare it with the magnetic field strength at the starting position of the sample, wherein the magnetic field strength at the current position and the magnetic field strength at the starting position of the sample are measured by a fluxgate magnetometer.

[0081] S2, if the magnetic field strength at the current position is greater than the magnetic field strength at the starting position, it is determined that the sample's movement direction during the magnetic field presetting process is correct, the magnetic field strength change trend is increasing, and it continues to move in the current direction.

[0082] S3: If the magnetic field strength at the current position is equal to the magnetic field strength at the starting position, it is determined that the sample has reached the local extreme point of the magnetic field. The movement needs to be paused and the following operations are performed: if the local extreme point is a maximum point, the sample position is recorded as the center point of the candidate magnetic field uniform area; if the local extreme point is a minimum point, the sample movement direction is adjusted to the opposite direction of the magnetic field gradient.

[0083] S4: If the magnetic field strength at the current position is less than the magnetic field strength at the starting position, the sample is judged to be moving in the wrong direction and the movement in the current direction is stopped. The trend of the magnetic field strength change is decreasing, and the movement in the current direction needs to be stopped immediately.

[0084] In addition, the magnetic field pre-setting also includes: judging whether there is any inconsistency with the judgment result based on the trend of the magnetic field intensity change. If so, an audible and visual warning prompt is sent and the coordinates of the abnormal position of the sample are displayed. Otherwise, the sample continues to be moved in the current direction.

[0085] What needs to be explained is that a known motor movement command (for example, a small movement along the positive X-axis) is used. After the movement, the magnetic field strength is measured again. The magnetic field strength at the new position is compared with the magnetic field strength at the previous position. If the magnetic field strength at the new position is greater than the magnetic field strength at the previous position, it indicates that the movement direction is correct and the magnetic field is increasing.

[0086] In this example, by real-time monitoring of the sample's position and changes in magnetic field intensity during the magnetic field presetting process, an intelligent, closed-loop dynamic control and anomaly warning mechanism was established. This multi-dimensional, multi-level control strategy not only significantly improves the efficiency and accuracy of magnetic field presetting, but also effectively reduces resource waste and experimental errors caused by misalignment or anomalies, laying a solid foundation for subsequent experiments or production processes that rely on a stable magnetic field environment.

[0087] Furthermore, the specific process for determining whether to optimize the sample displacement is as follows:

[0088] If the magnetic field change gradient is greater than the preset magnetic field change gradient maximum value, it means that there is still some distance from the current magnetic field maximum value, or it is in a gradient area with a high gradient. In order to cover the distance faster, reduce the number of steps required to reach the maximum value of the magnetic induction intensity, and improve the search efficiency, the harmonic average result of the magnetic field uniformity correction amount and the change gradient compensation amount is processed with the effective value of the movement amount to obtain the sample movement compensation amount. The result of adding the current row sample position and the sample movement compensation amount is used as the position of the sample after movement to increase the sample movement step length. The motor drives the sample to move in the direction of increasing magnetic field. The magnetic field uniformity correction amount represents the difference between the magnetic field uniformity influence coefficient and the magnetic field uniformity influence set value. The change gradient compensation amount represents the difference between the magnetic field change gradient and the preset magnetic field change gradient maximum value. The effective value processing of the movement amount means that the harmonic average result is accurate to one decimal place. This is to find a reasonable balance between the motor control capability and the high-frequency test accuracy to ensure that the sample can be moved to the position with optimal magnetic field uniformity with the sample movement compensation amount to ensure that the sample displacement is adjustable.

[0089] If the magnetic field gradient is within the preset magnetic field gradient standard range, it means that the magnetic field gradient within this range is considered appropriate or acceptable. Additional sample displacement optimization will result in the introduction of disturbances, because moving the sample will introduce unnecessary mechanical vibrations or change the relative position between the sample and the magnetic field source, which will have a negative impact on high-frequency testing. In this case, sample displacement optimization will not be performed. The preset magnetic field gradient standard range represents a closed interval formed by the preset magnetic field gradient minimum value and the preset magnetic field gradient maximum value.

[0090] If the magnetic field change gradient is less than the preset minimum magnetic field change gradient, it indicates that it may be close to the maximum magnetic induction intensity, or is in an area with a very small magnetic field change gradient. In order to more finely approximate the position of the magnetic field maximum value, improve the accuracy of the final positioning, and avoid ignoring the maximum magnetic induction intensity due to excessive step size, the harmonic average result of the magnetic field uniformity correction amount and the change gradient correction amount is processed with the effective value of the movement amount to obtain the sample movement correction amount. The result of subtracting the current row sample position from the sample movement correction amount is used as the position of the sample after movement, so as to reduce the sample movement step size. The sample is driven by the motor to move in the direction of increasing magnetic field. The change gradient correction amount represents the difference between the preset minimum magnetic field change gradient and the magnetic field change gradient.

[0091] like Figure 8Figure 1 shows a schematic diagram of installing a sample rod into a ColdTUBE low-temperature superconducting magnet system according to an embodiment of the present invention. When installing the sample rod into the low-temperature system, the following steps are required: First, install the sample onto the sample rod, and confirm that the magnetic field of the low-temperature superconducting magnet system is currently at zero and the temperature is at room temperature (295 K-300 K). Next, perform the cavity opening process, and the system will automatically inflate the cavity. Next, open the clamp and cover, and insert the FMR sample rod into the system cavity. Next, install the flange clamp to seal the cavity. Finally, perform the system purge process, and the sample rod installation is complete. Finally, connect the measurement cable to begin testing.

[0092] In this embodiment, this series of optimization and adjustment technologies ensures that the sample movement strategy can dynamically adapt under different magnetic field gradient conditions, taking into account both search efficiency and positioning accuracy, and realizing the intelligence and efficiency of the magnetic field optimization process.

[0093] like Figure 9 As shown, it is a structural diagram of a high-frequency test system with adaptive calibration provided by an embodiment of the present application. The high-frequency test system with adaptive calibration provided by an embodiment of the present application includes: a signal interference parameter quantification module, a signal interference optimization module, a uniformity influence parameter quantification module and a magnetic field uniformity optimization module: wherein, the signal interference parameter quantification module is used to use a three-dimensional magnetic Hall sensor to monitor the magnetic field strength of the moving slide and obtain the corresponding signal interference parameters before the high-frequency test. The three-dimensional magnetic Hall sensor is a cubic sensor provided with a plurality of Hall elements, which is configured to measure the three-dimensional air gap magnetic field and quantify the degree of interference of the ferromagnetic resonance signal according to the obtained signal interference parameters; the signal interference optimization module is used to determine whether to perform signal interference optimization based on the quantification result of the signal interference. If so, the magnetic field uniformity test is performed after the signal interference optimization is qualified. The signal interference optimization includes temperature drift compensation optimization to reduce the measurement error of ferromagnetic resonance signal caused by temperature interference, and coil current compensation optimization to reduce the measurement error of ferromagnetic resonance signal caused by coil current instability. The uniformity influencing parameter quantification module is used to combine the obtained uniformity influencing parameters to obtain the magnetic field uniformity influence coefficient to characterize the influence of magnetic field inhomogeneity on ferromagnetic resonance signal measurement. The magnetic field uniformity optimization module is used to determine whether to perform magnetic field uniformity optimization according to the magnetic field uniformity influence coefficient. If so, a high-frequency test is performed after the magnetic field uniformity optimization is qualified. Otherwise, a high-frequency test is performed directly. The magnetic field uniformity optimization means pre-setting the magnetic field to determine the direction of magnetic field change, and then optimizing the sample displacement to improve the adaptability of the sample to the magnetic field flux distribution.

[0094] It should be explained that when conducting FMR (Ferromagnetic Resonance) testing, the FMR test host is required to output, and the phase-locked amplifier collects the voltage signal output by the detector. The general measurement process is as follows: set the temperature to be tested; set the microwave frequency and power to be tested, set to FMR mode, and turn on the microwave output; set the start-end range and rate of the scanning magnetic field, and start the field change; during the field change process, periodically read the magnetic field and the readout voltage value of the phase-locked amplifier at fixed magnetic field step intervals. When the magnetic field reaches the end value, the measurement ends and the microwave output is turned off.

[0095] As an embodiment of the second aspect, Figure 10The figure below illustrates the principle of ferromagnetic resonance testing for an adaptively calibrated high-frequency testing method provided by an embodiment of the present invention. The DC field represents a direct current (DC) magnetic field. If a ferromagnetic sample is placed in a static magnetic field and its magnetic moment is misaligned with the direction of the external magnetic field, the magnetic moment will precess around the external field. Due to damping caused by magnetic anisotropy, defects, and other factors, the magnetic moment gradually approaches the direction of the external field during precession, eventually aligning with it. Generally speaking, the intrinsic resonance frequency of ferromagnetic materials is mostly in the GHz range. If a microwave magnetic field is applied to the outside of the ferromagnetic sample, when the frequency of this microwave field matches the intrinsic resonance frequency of the material, the precession amplitude of the magnetic moment reaches its maximum, and the material absorbs the microwave energy to the maximum, thus generating ferromagnetic resonance. Superconducting magnets develop residual magnetism over time, meaning that even when the power supply is not supplying power to the superconducting magnet coil, a significant magnetic field remains in the homogeneous magnetic field region. A microwave source injects microwaves at a fixed frequency and power into the coplanar waveguide. In addition to applying a static magnetic field around the coplanar waveguide, a small AC magnetic field in the same direction is also applied. The power supply applying the AC magnetic field synchronizes with the phase lock. The microwave output from the coplanar waveguide is connected to a detector, which converts the microwave power into a voltage signal. This voltage signal is then measured using a lock-in amplifier. The applied small AC magnetic field modulates the external magnetic field to increase test sensitivity. The resulting voltage signal, which changes with the magnetic field, represents the first-order differential of the absorption spectrum. AC modulated current involves applying a small AC current through a sample. This current is modulated to produce a specific frequency and amplitude, which is used to stimulate the sample's electromagnetic response. Microwave signals are used to stimulate and detect the sample's electromagnetic response at higher frequencies. The microwave input terminal transmits the microwave signal to the sample, and the microwave output terminal receives the microwave signal reflected from the sample. A coplanar waveguide is a special transmission line structure used to guide the microwave signal to the sample for signal transmission and processing. The ferromagnetic resonance test host is responsible for controlling the operation of the entire high-frequency test system, including generating the required DC field, AC modulated current, and microwave signal, as well as collecting and processing the response signal from the sample. A lock-in amplifier is a highly sensitive signal processing device used to detect weak AC signals and convert them into DC signals for subsequent data analysis and processing. A diode detector is used to convert high-frequency microwave signals into low-frequency signals. PC-based automated control and data acquisition is responsible for automated control of the entire high-frequency test process, including setting test parameters, starting and stopping tests, real-time monitoring of test progress, and collecting and processing test data. Synchronization signals are used to ensure the coordinated operation of various components in the system, especially when multiple signal sources and detectors are involved.

[0096] It should be noted that if Figure 11As shown, a diagram of the status bar interface and communication address setting interface of the test software for an adaptively calibrated high-frequency test method provided by an embodiment of the present invention, wherein the blank boxes next to "Kelvinion mini", "Probe-", "Motor-" and "Magnet-" in the figure correspond to the communication addresses. During the operation of the test software of the high-frequency test method, the status bar can set the communication addresses of devices such as the temperature controller, magnet controller, angle controller, and display and set the status of the entire test system, including the current temperature, magnetic field, angular position and the running position of the current Sequence. When the corresponding status window is clicked, the corresponding setting instruction window will pop up for setting the status parameters of the device in real time. For example, when the Temperature window is clicked, the SetTemp window will pop up to set the temperature. After the setting is completed, the system temperature will immediately begin to change according to the set parameters. The Magnet and Motor windows also have the same functions. Magnet refers to the magnet; Field refers to the magnetic field strength; VIT Temp refers to the temperature of the variable temperature inserter; Probe Temp refers to the temperature of the probe; Rate refers to the rate of change, such as the speed of change of the magnetic field or temperature; Temperature refers to the temperature; Target Temp refers to the target temperature setting; Motor refers to the motor; Position refers to the current position of the motor; Target Pos refers to the target position setting; Sequence Status refers to the sequence status; Line 3 indicates the status of the third instruction or step in the sequence.

[0097] It should be noted that if Figure 12The figure shows a high-temperature-temperature test diagram for an adaptively calibrated high-frequency testing method provided by an embodiment of the present invention, offering measurement capabilities over a wide temperature range (300mK-500K) and a wide frequency range (1-67GHz). The room-temperature testing series is comprehensive, consisting of an FMR test host, cryogenic and room-temperature test components, and common components. It can perform FMR measurements on thin films and bulk materials, as well as ST-FMR and spin-pumping effects on thin films and micro-nano devices. By combining the cryogenic test components with a magnet system, it can also perform measurements as low as 300mK. Rotational FMR / ST-FMR measurements can be conveniently performed using either a cryogenic magnet test system or room-temperature components. Waveguide configurations are diverse, the sample holder operates at a frequency of 67GHz, and wiring includes wire bonding. Optional non-magnetic piezoelectric motor pressure probes, optical channel laser access, and room-to-cryogenic end optical access for fluorescence Raman testing are also available. Probe motion is controlled by a piezoelectric motor adapted for ultra-low temperatures and ultra-high vacuum environments. The room temperature part of the system uses vacuum sealed joints to connect cables and external instruments, and the motor realizes the rotation angle; the support structure and signal transmission cables have rigid support and contain a variety of optional cables; the support part can be multiple-connected and connected by conversion joints; the low temperature part is the sample testing area, and the variable temperature magnetic field environment provides vacuum, temperature and magnetic field conditions. Figure 12 The temperature-time curve shows the temperature changes at different locations (frame center, bottom, top, etc.) during the test process, reflecting that the system can accurately control and monitor the temperature field, helping to conduct comprehensive and accurate ferromagnetic resonance-related testing and research on the magnetic properties of materials under conditions such as a wide temperature range. It is compatible with various commercial low-temperature superconducting magnet platforms and provides strong support for scientific research and material analysis.

[0098] It's important to note that the probe-based ST-FMR test system can perform continuous frequency variation testing and other FMR measurements in suitable low-temperature and magnetic field environments, leveraging an integrated signal source. The system consists of a cryogenic frame, equipped with multi-directional piezoelectric motors (in X, Y, and Z directions), to precisely control the movement of the micro- and nano-fabricated STFMR device, high-frequency probe, and stage. A rotary piezoelectric motor facilitates sample angle adjustment. Cryogenic high-frequency cables ensure signal transmission, while an observation window, cryogenic objective lens, and optical fiber facilitate the introduction of optical testing methods. It can conduct ferromagnetic resonance, spin-transfer torque ferromagnetic resonance, spin pumping and other effect tests on thin films, bulk materials and micro-nano devices in a wide temperature range (300mK-500K) and a wide frequency domain (1-67GHz). Through the coordination of multi-directional motors, it can achieve precise alignment of probe and sample and parameter control. Combined with the ability to continuously change the frequency of the signal source, it provides a high-precision and multi-functional testing platform for studying the magnetic properties of materials and exploring spin-related physical mechanisms, adapting to the needs of in-depth analysis of micro-nanoscale magnetic behavior in scientific research.

[0099] The above are merely specific embodiments of the present invention, but the scope of protection of the present invention is not limited thereto. Any modifications or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in the present invention should be included in the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be based on the scope of protection of the claims.

Claims

1. A high-frequency test method with adaptive calibration, characterized in that: The following steps are involved: Before the high-frequency test, a three-dimensional magnetic Hall sensor is used to monitor the magnetic field strength of the moving slide and obtain the corresponding signal interference parameters. At the same time, the degree of interference of the ferromagnetic resonance signal is quantified based on the obtained signal interference parameters. Determine whether to perform signal interference optimization based on the quantified result of the signal interference. If so, perform a magnetic field uniformity test after the signal interference optimization is qualified. Otherwise, directly perform a magnetic field uniformity test and obtain uniformity influencing parameters. The signal interference optimization means performing temperature drift compensation optimization to reduce the measurement error of the ferromagnetic resonance signal caused by temperature interference, and performing coil current compensation optimization to reduce the measurement error of the ferromagnetic resonance signal caused by coil current instability. The magnetic field uniformity influence coefficient is obtained by combining the obtained uniformity influence parameters to characterize the influence of magnetic field inhomogeneity on ferromagnetic resonance signal measurement. Whether to perform magnetic field uniformity optimization is determined based on the magnetic field uniformity influence coefficient. If so, high-frequency testing is performed after the magnetic field uniformity optimization is qualified. Otherwise, high-frequency testing is performed directly. The magnetic field uniformity optimization means pre-setting the magnetic field to determine the direction of magnetic field change, and then optimizing the sample displacement to improve the compatibility between the sample and the magnetic field flux distribution.

2. The high-frequency testing method of adaptive calibration according to claim 1, characterized in that: The signal interference parameters specifically include the sample rod tilt angle, microwave frequency and temperature variation; The method of quantifying the degree of interference of the ferromagnetic resonance signal according to the obtained signal interference parameter is specifically as follows: obtaining a signal interference setting value and a signal interference correction amount from a constructed high-frequency test database, and correcting the analysis result of the ratio of the signal interference parameter to the signal interference setting value by the signal interference correction amount to obtain a ferromagnetic resonance signal interference coefficient; The signal interference setting value specifically includes a sample rod tilt angle setting value, a microwave frequency setting value, and a temperature variation setting value, and the signal interference correction value specifically includes a sample rod tilt angle correction value, a microwave frequency correction value, and a temperature variation correction value; The ferromagnetic resonance signal interference coefficient represents data on the degree of interference of the ferromagnetic resonance signal, which is reflected by the signal interference parameter and the signal interference setting value.

3. The high-frequency testing method of adaptive calibration according to claim 1, characterized in that: The specific steps for determining whether to perform signal interference optimization are as follows: By obtaining the ferromagnetic resonance signal interference setting value from the constructed high-frequency test database; If the ferromagnetic resonance signal interference coefficient is less than or equal to the ferromagnetic resonance signal interference setting value, signal interference optimization is not performed; If the ferromagnetic resonance signal interference coefficient is greater than the ferromagnetic resonance signal interference setting value, it is determined whether to perform temperature drift compensation optimization based on the sample average temperature. If so, it is determined whether to perform coil current compensation optimization after performing temperature drift compensation optimization. Otherwise, it is directly determined whether to perform coil current compensation optimization. The average sample temperature refers to the average temperature of the sample at the test time points in the wide temperature range.

4. The high-frequency testing method with adaptive calibration according to claim 3, characterized in that: The specific steps of determining whether to perform temperature drift compensation optimization are as follows: If the sample average temperature is greater than the preset maximum sample temperature, the harmonic mean result of the signal interference correction amount and the temperature correction amount is subjected to temperature effective value processing to obtain a temperature compensation amount, and the sample temperature is lowered based on the difference result between the current sample temperature and the temperature compensation amount. The signal interference correction amount represents the degree of deviation between the ferromagnetic resonance signal interference coefficient and the ferromagnetic resonance signal interference set value, and the temperature correction amount represents the degree of deviation between the sample average temperature and the preset maximum sample temperature; If the sample average temperature is within a preset sample temperature standard interval, no temperature drift compensation optimization is performed, wherein the preset sample temperature standard interval represents a closed interval formed by a preset sample temperature minimum value and a preset sample temperature maximum value; If the average sample temperature is less than the preset minimum sample temperature, the harmonic average result of the signal interference correction amount and the temperature influence amount is processed with the temperature effective value to obtain the temperature correction amount, which is based on the addition result of the current sample temperature and the temperature compensation amount to increase the sample temperature. The temperature influence amount represents the degree of deviation between the preset minimum sample temperature and the average sample temperature.

5. The high-frequency testing method with adaptive calibration according to claim 3, characterized in that: The specific steps of determining whether to perform coil current compensation optimization are as follows: Step 1: If temperature drift compensation optimization is performed, the ferromagnetic resonance signal interference coefficient obtained after optimization is recorded as the ferromagnetic resonance signal interference judgment value; otherwise, the current ferromagnetic resonance signal interference coefficient is recorded as the ferromagnetic resonance signal interference judgment value; Step 2: Compare the ferromagnetic resonance signal interference judgment value with the ferromagnetic resonance signal interference setting value. If the ferromagnetic resonance signal interference judgment value is less than or equal to the ferromagnetic resonance signal interference setting value, then do not perform coil current compensation optimization, otherwise execute step 3; Step 3: If the average magnetic induction intensity is greater than the preset maximum magnetic induction intensity, the harmonic average result of the signal interference determination correction amount and the magnetic induction intensity deviation correction amount is processed into the effective value of the coil current to obtain the coil current compensation amount, and the coil current value is reduced based on the coil current compensation amount. Otherwise, step 4 is executed, where the magnetic induction intensity deviation correction amount represents the degree of deviation between the average magnetic induction intensity and the preset maximum magnetic induction intensity, and the signal interference determination correction amount represents the degree of deviation between the ferromagnetic resonance signal interference determination value and the ferromagnetic resonance signal interference set value; Step 4: If the average magnetic induction intensity is within a preset magnetic induction intensity standard interval, the coil current compensation optimization is not performed. Otherwise, step 5 is executed. The preset magnetic induction intensity standard interval represents a closed interval formed by a preset magnetic induction intensity minimum value and a preset magnetic induction intensity maximum value. Step 5: If the average magnetic induction intensity is less than the preset minimum magnetic induction intensity, the harmonic average result of the signal interference judgment correction amount and the magnetic induction intensity deviation correction amount is processed into the effective value of the coil current to obtain the coil current correction amount, and the coil current value is enhanced based on the coil current correction amount. The magnetic induction intensity deviation correction amount represents the degree of deviation between the preset minimum magnetic induction intensity and the average magnetic induction intensity.

6. The high-frequency testing method with adaptive calibration according to claim 1, characterized in that: The uniformity influencing parameters specifically include magnetic flux deviation and ferromagnetic resonance peak position deviation; The specific steps of obtaining the magnetic field uniformity influence coefficient are: Obtaining a uniformity impact setting value, a uniformity impact correction value, and a ferromagnetic resonance signal interference correction value from a constructed high-frequency test database, wherein the uniformity impact setting value specifically includes a magnetic flux deviation setting value and a ferromagnetic resonance peak position deviation setting value, and the uniformity impact correction value specifically includes a magnetic flux deviation correction value and a ferromagnetic resonance peak position deviation correction value; The uniformity impact parameter and the uniformity impact setting value ratio analysis result are corrected and coupled by the uniformity impact correction amount, and recorded as the first impact indicator; If signal interference optimization is performed, the ferromagnetic resonance signal interference coefficient obtained after signal interference optimization is recorded as the ferromagnetic resonance signal interference coefficient to be compared; otherwise, the current ferromagnetic resonance signal interference coefficient is recorded as the ferromagnetic resonance signal interference coefficient to be compared; The ratio analysis result of the ferromagnetic resonance signal interference coefficient to be compared and the ferromagnetic resonance signal interference setting value is corrected by the ferromagnetic resonance signal interference correction amount, which is recorded as the second influential index. The first influential index and the second influential index are coupled to obtain the magnetic field uniformity influence coefficient.

7. The high-frequency testing method with adaptive calibration according to claim 1, characterized in that: The specific steps of determining whether to optimize the magnetic field uniformity are as follows: By obtaining the magnetic field uniformity influence setting value from the constructed high frequency test database; If the magnetic field uniformity influence coefficient is less than or equal to the magnetic field uniformity influence setting value, the magnetic field uniformity optimization is not performed; If the magnetic field uniformity influence coefficient is greater than the magnetic field uniformity influence setting value, the magnetic field is pre-set to determine the direction of the magnetic field change, and then the determination of whether to optimize the sample displacement is made based on the magnetic field change gradient.

8. The high-frequency testing method with adaptive calibration according to claim 7, characterized in that: The specific process of presetting the magnetic field is as follows: S1, obtaining the magnetic field strength of the current position of the sample during the magnetic field presetting process, and comparing it with the magnetic field strength of the starting position of the sample; S2, if the magnetic field strength at the current position is greater than the magnetic field strength at the starting position, it is determined that the movement direction of the sample during the magnetic field presetting process is correct; S3, if the magnetic field strength at the current position is equal to the magnetic field strength at the starting position, it is determined that the sample has reached the local extreme point of the magnetic field; S4, if the magnetic field strength at the current position is less than the magnetic field strength at the starting position, it is determined that the sample is moving in the wrong direction and the movement in the current direction is stopped; The magnetic field presetting also includes: judging whether there is a situation inconsistent with the judgment result based on the trend of the magnetic field intensity change; if so, sending an audible and visual warning prompt and displaying the coordinates of the abnormal position of the sample; otherwise, continuing to move the sample in the current direction.

9. The high-frequency testing method with adaptive calibration according to claim 7, characterized in that: The specific process of determining whether to optimize the sample displacement is as follows: If the magnetic field change gradient is greater than the preset magnetic field change gradient maximum value, the harmonic average result of the magnetic field uniformity correction amount and the change gradient compensation amount is processed into the effective value of the movement amount to obtain the sample movement compensation amount, and the sample position movement adjustment is performed based on the sample movement compensation amount. The magnetic field uniformity correction amount represents the degree of deviation between the magnetic field uniformity influence coefficient and the magnetic field uniformity influence set value, and the change gradient compensation amount represents the degree of deviation between the magnetic field change gradient and the preset magnetic field change gradient maximum value; If the magnetic field gradient is within a preset magnetic field gradient standard interval, the sample displacement optimization is not performed, wherein the preset magnetic field gradient standard interval represents a closed interval formed by a preset magnetic field gradient minimum value and a preset magnetic field gradient maximum value; If the magnetic field change gradient is less than the preset minimum magnetic field change gradient value, the harmonic average result of the magnetic field uniformity correction amount and the change gradient correction amount is processed with the effective value of the movement amount to obtain the sample movement correction amount, and the sample position movement adjustment is performed based on the sample movement correction amount. The change gradient correction amount represents the degree of deviation from the preset minimum magnetic field change gradient value and the magnetic field change gradient.

10. An adaptively calibrated high-frequency testing system, wherein the adaptively calibrated high-frequency testing system is used to implement the high-frequency testing method according to any one of claims 1 to 9, characterized in that: It includes signal interference parameter quantification module, signal interference optimization module, uniformity impact parameter quantification module and magnetic field uniformity optimization module: The signal interference parameter quantification module is used to monitor the magnetic field strength of the movable slide using a three-dimensional magnetic Hall sensor and obtain the corresponding signal interference parameters before the high-frequency test; The signal interference optimization module is used to determine whether to perform signal interference optimization based on the quantified result of signal interference. If so, a magnetic field uniformity test is performed after the signal interference optimization is qualified. Otherwise, a magnetic field uniformity test is directly performed to obtain uniformity influencing parameters. The uniformity influence parameter quantification module is used to obtain a magnetic field uniformity influence coefficient by combining the obtained uniformity influence parameters to characterize the influence degree of magnetic field inhomogeneity on ferromagnetic resonance signal measurement; The magnetic field uniformity optimization module is used to determine whether to perform magnetic field uniformity optimization according to the magnetic field uniformity influence coefficient. If so, a high-frequency test is performed after the magnetic field uniformity optimization is qualified; otherwise, a high-frequency test is performed directly.

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