EIT-AT spectral feature recognition and electric field calculation device based on LabVIEW

Abstract

The invention relates to the technical field of electric field precision measurement, and discloses a LabVIEW-based EIT-AT spectral feature recognition and electric field calculation device, and the device comprises a signal collection module which is used for detecting a detection light signal, and carrying out the signal amplification and analog-to-digital conversion processing of the detection light signal, and obtaining a detection light digital signal; the data processing module is used for receiving the detection light digital signal and the Rydberg state parameter, calculating a frequency scale, and performing filtering conversion and peak identification on the detection light digital signal to obtain the set peak number of the noise-removed detection light digital signal and the coordinate of the set peak number; the coordinates of the set wave crest number are sorted from large to small, then a frequency scale is introduced, and the frequency spacing is calculated; the quantum parameter and electric field calculation module is used for receiving the frequency spacing and the Rydberg state parameter, calculating a transition dipole moment and calculating the electric field intensity according to the transition dipole moment and the frequency spacing; according to the invention, the measurement process is simplified, and the automation level, accuracy and efficiency of measurement are greatly improved.

Description

Technical Field

[0001] The invention relates to the technical field of electric field precision measurement, and in particular to an EIT-AT spectrum feature recognition and electric field calculation device based on LabVIEW. Background Art

[0002] In recent years, with the rapid development of electronics technology, laser technology, atomic physics and other disciplines, quantum precision measurement technology has gradually become a new direction to break through the limits of traditional measurement. Among them, microwave electric field measurement technology based on Rydberg atoms has shown great potential. Rydberg atoms are atoms in an excited state with a high principal quantum number. They have unique properties such as rich energy level structure, huge transition dipole moment and long coherence time, which make them extremely sensitive to changes in microwave electric fields. Using atomic gas chamber processing technology and quantum state optical reading technology, people can efficiently prepare and detect Rydberg atoms, thereby building a radio wave measurement platform based on Rydberg atoms.

[0003] Among them, the realization of microwave electric field measurement based on Rydberg atoms usually requires key steps such as Rydberg atom preparation, microwave interaction with Rydberg atoms, Rydberg atomic state detection, signal decoding and data processing. However, in the signal decoding and data processing links, the existing technology has some shortcomings. At present, an oscilloscope is often used to receive photoelectric signals in the process of signal decoding and data processing. However, the horizontal axis of the oscilloscope is displayed as laser scanning time, and the frequency shift of the EIT spectrum cannot be directly analyzed. The time quantity needs to be converted into the frequency shift quantity, and the calculation of the frequency shift quantity requires the determination of the Rydberg state and calibration, or the connection of additional frequency scale equipment, which is cumbersome to operate. In addition, the existing oscilloscope equipment cannot well identify the frequency interval of the EIT-AT splitting peak, and naked eye observation will bring large measurement errors. In addition, the various links of the entire measurement process are often separated, resulting in a lengthy measurement process and low measurement accuracy and efficiency. Summary of the invention

[0004] In view of the above-mentioned deficiencies in the prior art, the present invention provides an EIT-AT spectral feature recognition and electric field calculation device based on LabVIEW, which is used to solve the problems of cumbersome measurement and calculation steps, large measurement errors and low precision in the prior art.

[0005] In order to achieve the above-mentioned object of the invention, the technical solution adopted by the present invention is:

[0006] An EIT-AT spectrum feature recognition and electric field calculation device based on LabVIEW, comprising:

[0007] The signal acquisition module is used to detect the detection light signal sent by the Rydberg atomic microwave measurement system, and to perform signal amplification and analog-to-digital conversion on the detection light signal to obtain a detection light digital signal;

[0008] The data processing module is used to receive the detection light digital signal transmitted by the signal acquisition module and the Rydberg state parameters input by the user, calculate the frequency scale using the Rydberg state parameters, and perform filtering conversion and peak recognition on the detection light digital signal to obtain the set number of peaks of the detection light digital signal with noise removed and the coordinates of the set number of peaks, sort the coordinates of the set number of peaks in descending order, introduce the frequency scale, and calculate the frequency spacing;

[0009] The quantum parameter and electric field calculation module is used to receive the frequency spacing transmitted by the data processing module and the Rydberg state parameters input by the user, calculate the transition dipole moment using the Rydberg state parameters, and calculate the electric field strength based on the transition dipole moment and the frequency spacing.

[0010] Further, the signal acquisition module includes a photoelectric detector, a power amplifier and a data acquisition card;

[0011] A photodetector for detecting the detection light signal sent by the Rydberg atomic microwave measurement system;

[0012] A power amplifier, used for receiving a detection light signal transmitted by the photodetector, and amplifying the detection light signal to obtain an amplified detection light signal;

[0013] The data acquisition card is used to receive the amplified detection light signal transmitted by the power amplifier, and perform analog-to-digital conversion on the amplified detection light signal to obtain a detection light digital signal.

[0014] Further, the data processing module includes a filtering module, a peak identification module, a frequency scale module and an EIT-AT spacing module;

[0015] A filtering module is used to receive the detection light digital signal and perform filtering conversion on the detection light digital signal to obtain the detection light digital signal with noise removed;

[0016] A peak recognition module is used to receive the detection light digital signal after noise removal, and perform peak recognition on the detection light digital signal after noise removal to obtain a set number of peaks of the detection light digital signal after noise removal and coordinates of the set number of peaks;

[0017] A frequency scale module, used for receiving Rydberg state parameters input by a user and calculating a frequency scale according to the Rydberg state parameters;

[0018] The EIT-AT spacing module is used to receive the coordinates of the set number of peaks and the frequency scale, sort the coordinates of the set number of peaks from large to small, and use the frequency scale to convert the sorted coordinates of the set number of peaks from the time axis to the frequency axis to calculate the frequency spacing.

[0019] Furthermore, the frequency spacing is calculated as:

[0020]

[0021] Wherein, Δf represents the frequency spacing, A, B, and C represent the horizontal coordinates of the set number of peaks sorted from large to small, and R represents the frequency scale.

[0022] Further, the quantum parameter and electric field calculation module includes a transition dipole moment module and an electric field calculation module;

[0023] The transition dipole moment module is used to calculate the transition dipole moment based on the Rydberg state parameters input by the user;

[0024] The electric field calculation module is used to receive the transition dipole moment and the frequency spacing, and calculate the electric field strength according to the transition dipole moment and the frequency spacing.

[0025] Furthermore, the calculation formula of the electric field strength is:

[0026]

[0027] Where E represents the electric field strength, represents the reduced Planck constant, and μ represents the transition dipole moment.

[0028] The present invention has the following beneficial effects:

[0029] 1. The EIT-AT spectrum feature recognition and electric field calculation device based on LabVIEW proposed in the present invention simplifies the measurement process and greatly improves the automation level, accuracy and efficiency of the measurement; and seamlessly integrates the steps of data acquisition, filtering, frequency calibration, peak recognition, quantum parameter acquisition, electric field calculation, etc., realizes one-key measurement, and avoids the low efficiency problem of manual step-by-step operation in the traditional method;

[0030] 2. It can automatically identify the frequency interval of the EIT-AT split peak, avoiding the error caused by naked eye observation, thereby improving the measurement accuracy; the traditional method cannot well identify the EIT-AT split peak interval, and requires manual naked eye observation, which is prone to large errors;

[0031] 3. By integrating various measurement links, the fragmentation is avoided and the fluency and consistency of measurement are improved;

[0032] 4. The design is intuitive and the operation is simple, which improves the user experience and clearly displays all functional modules, realizes parameter input, data display, one-key operation and other designs, greatly simplifies user operation, improves the repeatability and traceability of measurement; and reduces the impact of human operation differences on the results, which is conducive to the recording and management of experimental data; in addition, it lowers the threshold for use and reduces the need for complex equipment. Such an integrated design reduces dependence on other discrete instruments and equipment, and reduces the cost and difficulty of use. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 This is a schematic diagram of the structure of a LabVIEW-based EIT-AT spectrum feature recognition and electric field calculation device proposed in the present invention;

[0034] Figure 2 This is a schematic diagram of the principle of the EIT-AT spectrum feature recognition and electric field calculation device based on LabVIEW;

[0035] Figure 3 This is a schematic diagram of the front panel of the EIT-AT spectrum feature recognition and electric field calculation device based on LabVIEW. DETAILED DESCRIPTION

[0036] The specific implementation modes of the present invention are described below so that those skilled in the art can understand the present invention. However, it should be clear that the present invention is not limited to the scope of the specific implementation modes. For those of ordinary skill in the art, as long as various changes are within the spirit and scope of the present invention as defined and determined by the attached claims, these changes are obvious, and all inventions and creations utilizing the concept of the present invention are protected.

[0037] like Figure 1 As shown, a LabVIEW-based EIT-AT spectrum feature recognition and electric field calculation device includes:

[0038] The signal acquisition module is used to detect the detection light signal sent by the Rydberg atomic microwave measurement system, and to perform signal amplification and analog-to-digital conversion on the detection light signal to obtain a detection light digital signal.

[0039] The data processing module is used to receive the detection light digital signal transmitted by the signal acquisition module and the Rydberg state parameters input by the user, calculate the frequency scale using the Rydberg state parameters, and perform filtering conversion and peak recognition on the detection light digital signal to obtain the set number of peaks of the detection light digital signal with noise removed and the coordinates of the set number of peaks, sort the coordinates of the set number of peaks in descending order, introduce the frequency scale, and calculate the frequency spacing.

[0040] The quantum parameter and electric field calculation module is used to receive the frequency spacing transmitted by the data processing module and the Rydberg state parameters input by the user, calculate the transition dipole moment using the Rydberg state parameters, and calculate the electric field strength based on the transition dipole moment and the frequency spacing.

[0041] In this embodiment, Figure 1 It includes a signal acquisition module, a data processing module, and a quantum parameter and electric field calculation module, and also includes a Rydberg atomic microwave measurement system, wherein the signal acquisition module is connected to the data processing module, and the data processing module is connected to the quantum parameter and electric field calculation module; the signal acquisition module constitutes a lower computer, and the signal acquisition module includes a photoelectric detector, a power amplifier, and a data acquisition card, which is responsible for detecting the detection light signal transmitted by the Rydberg atomic microwave measurement system, and performing analog-to-digital conversion (A / D conversion) to convert the analog signal into a digital signal; the data processing module and the quantum parameter and electric field calculation module constitute an upper computer, and its principle is as follows Figure 2 As shown: Figure 2The upper computer includes LabVIEW platform, Python script and computer. LabVIEW platform is used for data processing, display and analysis, connects to the lower computer, receives and processes the digital signal transmitted from the lower computer; Python script interacts with LabVIEW platform to perform further data processing or analysis tasks, obtains data from LabVIEW platform and returns the processing results to LabVIEW platform; the computer provides a graphical user interface for users to monitor and control the entire system, interacts with LabVIEW platform for data, displays processed data, and allows users to input control commands. Therefore, the data processing module is implemented by the LabVIEW platform of the host computer. The data processing module includes a filtering module, a peak recognition module, a frequency scale module and an EIT-AT spacing module, which is used to receive the detection light digital signal transmitted by the signal acquisition module and the Rydberg state parameter input by the user, calculate the frequency scale using the Rydberg state parameter, and perform filtering conversion and peak recognition on the detection light digital signal to obtain the set number of peaks of the detection light digital signal with noise removed and the coordinates of the set number of peaks. The coordinates of the set number of peaks are sorted from large to small and then introduced into the frequency scale to calculate the frequency spacing; wherein, EIT refers to the electromagnetic induced transparency effect, which is a phenomenon that the medium is transparent to the detection light through the interaction between coherent light and matter; AT refers to the Autler-Townes effect, which is a phenomenon that causes energy level splitting under the action of a strong coupling field; therefore, the frequency interval can be split by detecting EIT-AT, thereby calculating the electric field strength of the microwave field to be measured; since the interval initially calculated is the scanning time of receiving the photoelectric signal, the frequency interval cannot be directly obtained, so it is necessary to convert the time into frequency through the frequency scale. The quantum parameter and electric field calculation module is implemented by the Python script of the host computer using the ARC (Alkaline Rydberg Calculator) library, which is used to receive the frequency spacing transmitted by the data processing module and the Rydberg state parameters input by the user, and calculate the transition dipole moment using the Rydberg state parameters. At the same time, the electric field strength is calculated based on the transition dipole moment and the frequency spacing. Therefore, based on all the processing and calculation results, the EIT-AT spectrum feature recognition and electric field calculation device based on LabVIEW can accurately perform Rydberg atomic microwave measurements.

[0042] Among them, the specific method flow of calculating the electric field intensity by the EIT-AT spectrum feature recognition and electric field calculation device based on LabVIEW is as follows: first, the program is started and the initial parameters are set and initialized; then, the Rydberg state prepared by the Rydberg atomic microwave measurement system is input, and the frequency scale R and the transition dipole moment μ are calculated using the ARC library to prepare for subsequent calculations; secondly, the user sets the signal acquisition channel and related acquisition parameters, and the EIT-AT spectrum feature recognition and electric field calculation device based on LabVIEW checks whether the acquisition parameters are set. If not, continue to set them. After completion, the acquisition indicator light is on, indicating that the signal can be collected. By filtering the collected signal, the noise is eliminated and the valid signal is retained; after the user sets the peak search threshold, the peak search operation is started, the peaks in the signal are identified and recorded, and the number of peaks found n is calculated and recorded. If n is not equal to 3, the peak search threshold is increased and the peak search operation is re-executed. If n is equal to 3, the next step is entered; the coordinates of the peaks are obtained, and these peaks are sorted from large to small, and the horizontal coordinate values ​​A, B, and C after index sorting are indexed for subsequent calculations, that is, according to the formula Calculate the frequency spacing; then, calculate the electric field strength E based on the frequency spacing and transition dipole moment μ, that is: The calculation result data is saved to ensure that all processing results are recorded; finally, the device checks whether it needs to exit the current operation. If not, it returns to continue a new round of signal acquisition cycle; if it needs to exit, it closes the signal acquisition and ends the entire program operation.

[0043] In addition, the front panel of the EIT-AT spectrum feature recognition and electric field calculation device based on LabVIEW is as follows Figure 3 As shown in the figure, the interface integrates all the core functional modules required for Rydberg atomic microwave measurement. When using it, you first need to input the Rydberg state principal quantum number n1, orbital angular momentum l and magnetic quantum number m prepared by the device in the Rydberg state area on the left as basic parameters, and then set the data acquisition parameters such as sampling rate, number of sampling points and sampling time. After the data acquisition indicator light is on, you can start collecting signal data of the microwave measurement system. The middle graphic area will display the collected spectral data in real time. By setting a suitable peak-seeking threshold, the program will automatically identify the position and interval of the electromagnetic induced transparency (EIT) and AT peaks. According to the analyzed spectral characteristics, the microwave electric field intensity result calculated by the formula will be displayed in the graphic area on the right. Finally, just click the "Start / Stop" button at the bottom to automatically complete the entire spectral analysis and electric field calculation process, which greatly simplifies the workflow and improves measurement efficiency.

[0044] Specifically, the signal acquisition module includes a photodetector, a power amplifier and a data acquisition card; the photodetector is used to detect the detection light signal sent by the Rydberg atomic microwave measurement system; the power amplifier is used to receive the detection light signal transmitted by the photodetector and amplify the detection light signal to obtain the amplified detection light signal; the data acquisition card is used to receive the amplified detection light signal transmitted by the power amplifier and perform analog-to-digital conversion on the amplified detection light signal to obtain the detection light digital signal.

[0045] Specifically, the data processing module includes a filtering module, a peak recognition module, a frequency scale module and an EIT-AT spacing module; the filtering module is used to receive the detection light digital signal, and filter and convert the detection light digital signal to obtain the detection light digital signal with noise removed; the peak recognition module is used to receive the detection light digital signal with noise removed, and perform peak recognition on the detection light digital signal with noise removed to obtain the set number of peaks of the detection light digital signal with noise removed and the coordinates of the set number of peaks; the frequency scale module is used to receive the Rydberg state parameters input by the user, and calculate the frequency scale according to the Rydberg state parameters; the EIT-AT spacing module is used to receive the coordinates of the set number of peaks and the frequency scale, sort the coordinates of the set number of peaks in descending order, and use the frequency scale to convert the sorted coordinates of the set number of peaks from the time axis to the frequency axis to calculate the frequency spacing.

[0046] Specifically, the frequency spacing is calculated as:

[0047]

[0048] Wherein, Δf represents the frequency spacing, A, B, and C represent the horizontal coordinates of the set number of peaks sorted from large to small, and R represents the frequency scale.

[0049] Specifically, the quantum parameter and electric field calculation module includes a transition dipole moment module and an electric field calculation module; the transition dipole moment module is used to calculate the transition dipole moment according to the Rydberg state parameters input by the user; the electric field calculation module is used to receive the transition dipole moment and the frequency spacing, and calculate the electric field strength according to the transition dipole moment and the frequency spacing.

[0050] Specifically, the calculation formula of the electric field strength is:

[0051]

[0052] Where E represents the electric field strength, represents the reduced Planck constant, and μ represents the transition dipole moment.

[0053] In summary, the EIT-AT spectrum feature recognition and electric field calculation device based on LabVIEW proposed in the present invention simplifies the measurement process and greatly improves the automation level, accuracy and efficiency of the measurement; by seamlessly integrating the steps of data acquisition, filtering, frequency calibration, peak recognition, quantum parameter acquisition, electric field calculation, etc., one-key measurement is realized, avoiding the low efficiency problem of manual step-by-step operation in the traditional method; at the same time, the frequency interval of the EIT-AT split peak can be automatically identified to avoid the error caused by naked eye observation; while the traditional method cannot well identify the EIT-AT split peak interval, and requires manual naked eye observation, which is prone to large errors; therefore, the EIT-AT spectrum feature recognition and electric field calculation device based on LabVIEW proposed in the present invention can realize automatic peak recognition through programming, thereby improving the measurement accuracy. In addition, by integrating each measurement link to avoid fragmentation, the fluency and consistency of the measurement are improved; while the traditional method is often fragmented. Finally, the design is intuitive and easy to operate, which improves the user experience and clearly displays all functional modules, realizing parameter input, data display, one-button operation and other designs, greatly simplifying user operation and improving the repeatability and traceability of measurements; therefore, the automated process provided by the EIT-AT spectral feature recognition and electric field calculation device based on LabVIEW standardizes the measurement steps, reduces the impact of human operation differences on the results, and is conducive to the recording and management of experimental data; in addition, it lowers the threshold for use and reduces the need for complex equipment. Such an integrated design reduces dependence on other discrete instruments and equipment, and reduces the cost and difficulty of use.

[0054] The present invention uses specific embodiments to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea. At the same time, for those skilled in the art, according to the idea of ​​the present invention, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as a limitation on the present invention.

[0055] Those skilled in the art will appreciate that the embodiments described herein are intended to help readers understand the principles of the present invention, and should be understood that the protection scope of the present invention is not limited to such specific statements and embodiments. Those skilled in the art can make various other specific variations and combinations that do not deviate from the essence of the present invention based on the technical revelations disclosed by the present invention, and these variations and combinations are still within the protection scope of the present invention.

Claims

1. A LabVIEW-based EIT-AT spectrum feature recognition and electric field calculation device, characterized in that: include: The signal acquisition module is used to detect the detection light signal sent by the Rydberg atomic microwave measurement system, and to perform signal amplification and analog-to-digital conversion on the detection light signal to obtain a detection light digital signal; The data processing module is used to receive the detection light digital signal transmitted by the signal acquisition module and the Rydberg state parameters input by the user, calculate the frequency scale using the Rydberg state parameters, and perform filtering conversion and peak recognition on the detection light digital signal to obtain the set number of peaks of the detection light digital signal with noise removed and the coordinates of the set number of peaks, sort the coordinates of the set number of peaks in descending order, introduce the frequency scale, and calculate the frequency spacing; The quantum parameter and electric field calculation module is used to receive the frequency spacing transmitted by the data processing module and the Rydberg state parameters input by the user, calculate the transition dipole moment using the Rydberg state parameters, and calculate the electric field strength based on the transition dipole moment and the frequency spacing.

2. The EIT-AT spectrum feature recognition and electric field calculation device based on LabVIEW according to claim 1, characterized in that: The signal acquisition module includes a photoelectric detector, a power amplifier and a data acquisition card; A photodetector for detecting the detection light signal sent by the Rydberg atomic microwave measurement system; A power amplifier, used for receiving a detection light signal transmitted by the photodetector, and amplifying the detection light signal to obtain an amplified detection light signal; The data acquisition card is used to receive the amplified detection light signal transmitted by the power amplifier, and perform analog-to-digital conversion on the amplified detection light signal to obtain a detection light digital signal.

3. The EIT-AT spectrum feature recognition and electric field calculation device based on LabVIEW according to claim 2 is characterized in that: The data processing module includes a filtering module, a peak recognition module, a frequency scale module, and an EIT-AT spacing module; A filtering module is used to receive the detection light digital signal and perform filtering conversion on the detection light digital signal to obtain the detection light digital signal with noise removed; A peak recognition module is used to receive the detection light digital signal after noise removal, and perform peak recognition on the detection light digital signal after noise removal to obtain a set number of peaks of the detection light digital signal after noise removal and coordinates of the set number of peaks; A frequency scale module, used for receiving Rydberg state parameters input by a user and calculating a frequency scale according to the Rydberg state parameters; The EIT-AT spacing module is used to receive the coordinates of the set number of peaks and the frequency scale, sort the coordinates of the set number of peaks from large to small, and use the frequency scale to convert the sorted coordinates of the set number of peaks from the time axis to the frequency axis to calculate the frequency spacing.

4. The EIT-AT spectrum feature recognition and electric field calculation device based on LabVIEW according to claim 3 is characterized in that: The frequency spacing is calculated as: Wherein, Δf represents the frequency spacing, A, B, and C represent the horizontal coordinates of the set number of peaks sorted from large to small, and R represents the frequency scale.

5. The EIT-AT spectrum feature recognition and electric field calculation device based on LabVIEW according to claim 4 is characterized in that: The quantum parameter and electric field calculation module includes the transition dipole moment module and the electric field calculation module; The transition dipole moment module is used to calculate the transition dipole moment based on the Rydberg state parameters input by the user; The electric field calculation module is used to receive the transition dipole moment and the frequency spacing, and calculate the electric field strength according to the transition dipole moment and the frequency spacing.

6. The EIT-AT spectrum feature recognition and electric field calculation device based on LabVIEW according to claim 5, characterized in that: The calculation formula for electric field strength is: Where E represents the electric field strength, represents the reduced Planck constant, and μ represents the transition dipole moment.

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