284 results about "Spectral line" patented technology

The invention discloses an Ia type super-novelty star spectral parameter rapid inversion method based on a KAN network, and the method comprises the following steps: S1, carrying out data preprocessing, generating simulation spectral data, including spectral lines and parameters, and carrying out the normalization; s2, building a KAN (Kernel Area Network) network model by using a python framework and a pytorch framework; s3, designing a loss function; s4, training the model, and testing the error of each parameter in the stage; s5, performing learning rate adjustment by using an Adam optimizer and a StepLR scheduler in the training process, and optimizing the model; s6, performing Gaussian sampling on an actually measured spectrum, and inputting the actually measured spectrum into the trained KAN model for prediction; s7, analyzing the result, and calculating the standard deviation of the output parameter data; by using the deep learning technology of the KAN network, key physical and chemical parameters are efficiently predicted from the celestial body spectrum, the problems that in the prior art, the calculation amount is too large, and an accurate calculation result cannot be efficiently obtained are solved, and the method has remarkable advantages in the aspects of improving the calculation efficiency and the processing capacity and is suitable for spectrum data analysis in the field of astronomical observation.

The invention relates to a multi-target line spectrum characteristic distinguishing method based on DBSCAN clustering, and the method comprises the following steps: 1, receiving space low-resolution sonar platform time domain data, and carrying out the short-time frequency modulation Fourier transform of the space low-resolution sonar platform time domain data, so as to obtain a frequency modulation Fourier transform spectrum; 2, corresponding fi of peak values is extracted from the frequency modulation Fourier transform result of each time period at each frequency, so that an instantaneous frequency matrix F of different frequencies and different times is obtained, F = [f1 (tau), f2 (tau),..., fi (tau)], and i represents a corresponding spectral line frequency; and step 3, respectively removing outliers caused by noise or interference in the fi (tau). According to the method, dense data points can be found from the sparse region, and the data points in the sparse region are marked as noise, so that the interference of noise points can be better eliminated.

The invention provides a method for rapidly detecting wastewater pollutants by atomic fluorescence spectrometry, and belongs to the technical field of wastewater treatment.The method comprises the steps that atomic fluorescence spectrum data of a wastewater sample are collected to establish a spectrum interference matrix to characterize the spectral line overlapping condition between elements; abnormal values are recognized through statistical analysis, a spectrum outlier matrix is built, abnormal fluorescence intensity distribution is recorded, sample matrix non-characteristic fluorescence signals are measured, a background fluorescence interference matrix is built, background interference intensity is quantized, system signal change rules are continuously monitored and detected, and a signal drift tendency matrix is built to predict the signal drift tendency. A spectrum interference matrix and a background fluorescence interference matrix are processed through a spectrum analytic function, compensation factors are calculated, spectrum overlapping and background interference influences are corrected, system drift is corrected in real time, and a final wastewater pollutant concentration detection result is output, so that the technical problem of unstable detection precision caused by coupling of multiple interference factors is solved.

The invention discloses a full-locking integrated microcavity optical comb based on coherent population trapping spectral lines, and belongs to the technical field of integrated microcavity optical combs. The full-locking integrated micro-cavity optical comb comprises a laser generation module, a frequency reference subsystem and a micro-cavity optical comb system. The laser generation module is used for generating two paths of laser, the frequency reference subsystem modulates one path of laser, a modulated optical signal is emitted into the atomic gas chamber system, and after transmission light is demodulated and subjected to phase-locked amplification processing, an optical frequency signal and a microwave signal which are locked to an atomic spectral line are obtained; and the optical frequency signal is fed back to the laser generating module to realize optical frequency locking. And the microcavity optical comb system adopts a microwave signal generated by the frequency reference subsystem as a frequency reference, and modulates the other path of laser to serve as pump light to enter the optical microcavity, so that optical comb output of a soliton state in the optical microcavity is realized. According to the invention, a single quantum system is taken as a reference, the problem of full locking of the micro-cavity optical frequency comb is effectively solved, and the system integration degree is relatively high.

The invention discloses an improved integrated learning rock debris element content analysis system and method based on laser spectrum information. The method comprises the following steps: step 1, collecting a rock debris element LIBS spectrum data set; 2, dividing the rock debris element LIBS spectral data set into a training set and a test set, and carrying out noise reduction processing on original spectral data; 3, selecting characteristic spectral lines of the rock debris analysis elements according to the correlation coefficients, then selecting correlation interference spectral lines of the analysis elements, respectively combining the characteristic spectral lines with different correlation interference spectral lines to obtain more than one spectral line combination, and taking the spectral line combination as input of an integrated learning device; 4, constructing an ant colony optimization algorithm to optimize and improve the least square support vector machine ensemble learning base learner as an ensemble learner; and 5, designing a weighted distribution integration strategy of the base learners, and completing the optimal combination of the base learners. According to the method provided by the invention, a strong learner is constructed by combining a plurality of base learners, so that the accuracy and robustness of prediction are improved.

The invention discloses a correction method for saturation spectral line intensity in a laser spectrum, and relates to the technical field of spectral data analysis, the method comprises the following steps: identifying saturation characteristics in the spectrum, determining a saturation point based on an intensity threshold, and recording the original intensity of the saturation point; determining a target spectrum peak wavelength range containing a saturation point; eliminating saturation points from the wavelength range of the target spectrum peak, and retaining unsaturation points; fitting the unsaturated point through a nonlinear function to obtain the maximum fitting strength; if the maximum fitting strength is lower than the original strength, performing strength correction by adopting a linear extension mode by taking an unsaturated point as a reference, and otherwise, performing strength correction directly based on a fitting model; and outputting the corrected spectral intensity data, and calculating the maximum intensity of the spectral peak and the integral area of the spectral peak. According to the method, the accuracy of saturation judgment and the reliability of a correction result are improved, and a direct intensity data basis and core derivative parameters are provided for quantitative analysis.

The invention belongs to the field of optical coherence layer imaging, and particularly discloses a spectrum calibration method for a linear field spectral domain OCT (optical coherence tomography) system, which comprises the following steps: acquiring interference signal instantaneous phases corresponding to two optical path differences by adjusting a lifting platform at a sample mirror in the linear field spectral domain OCT system, and subtracting the interference signal instantaneous phases to obtain an instantaneous phase difference; based on the calibration light source, discrete spectral lines are generated on a detector through a sample arm in the shielding line view field spectral domain OCT system, and spectral intensity distribution corresponding to the calibration light source is obtained; calculating the sub-pixel position of the peak value of each spectral line and the instantaneous phase difference corresponding to the sub-pixel position based on the instantaneous phase difference and the spectral intensity distribution corresponding to the calibration light source; and based on the wave number and the instantaneous phase difference corresponding to each spectral line, determining a linear relationship between the instantaneous phase difference and the wave number through linear fitting, and calibrating the corresponding wave number based on the linear relationship. According to the method and the device, the linear field OCT spectrum calibration result with higher precision can be realized.

The invention discloses a quantum magnetometer device based on a diamond nitrogen-vacancy color center. The quantum magnetometer device comprises a laser emission unit used for generating a 532nm laser beam based on a laser trigger signal; the beam shaping unit is used for focusing the laser beam to the diamond sample; the diamond sample comprises an NV color center array with specific depth on the surface or in the diamond sample, and electrons in NV color centers are excited based on laser beams to transition and generate fluorescence; the fluorescence collection unit is used for separating exciting light from 650-800nm fluorescence signals and converting the fluorescence signals into multi-channel electric signals; the microwave radiation unit is distributed around a diamond sample space and emits three independently regulated microwave frequencies at the same time; and the control and processing unit is used for receiving and processing the multi-channel electric signals in real time and analyzing magnetic field parameters based on the optical detection magnetic resonance spectral line. Synchronous measurement of a three-dimensional magnetic field is realized, and the limitation of single-axis measurement of a traditional NV magnetometer is broken through.

The invention discloses a feature extraction method and system based on heterogeneous multi-modal information fusion, and the method comprises the steps: constructing a spectrum reference system through synchronously collecting the data of an image sensor, a laser radar and an infrared spectrometer carried by an unmanned plane, achieving the unified calibration of image data, and generating a unified image reference through employing a feature field fusion technology; extracting multi-modal characteristic spectral lines, performing complementary analysis to confirm fusion characteristics, and establishing a dynamic weight table by matching working frequency bands; a separation factor is generated based on correlation analysis of a point cloud density field and a modal characteristic spectral line, a correction coefficient is generated in combination with characteristic fluctuation analysis, and a pure visual characteristic signal is identified; a mapping transformation kernel is constructed to realize standardized conversion of feature data, a migration coefficient is generated through spatial positioning analysis and feature intensity analysis, a regulation and control instruction is generated through multi-level feature processing, a weight table is adjusted based on the regulation and control instruction to form closed-loop optimization, a hierarchical feature extraction signal is generated, and deep fusion and intelligent extraction of features are realized.

The invention discloses a non-natural earthquake phase identification method based on image processing, and relates to the technical field of image processing, and the method comprises the following steps: capturing a continuous signal with the amplitude changing with time in a seismic wave propagation process in real time based on a sensor distributed by an earthquake monitoring station network, forming an original amplitude sequence, and carrying out the calculation of the original amplitude sequence; collected continuous signals are converted into three-channel images, and the image brightness is automatically adjusted according to the seismic wave data dynamic range. According to the method, a seismic wave multi-dimensional analysis system is constructed through a three-channel construction strategy, the first channel clearly shows the time domain difference between natural seismic progressive fluctuation and non-natural seismic pulse type sudden change, and the second channel accurately captures microsecond-level sudden change which is easy to neglect in traditional time domain analysis; the third channel clearly distinguishes natural earthquake low-frequency energy concentration and non-natural earthquake intermediate-frequency characteristic spectral lines, and the adaptive brightness adjustment technology aims at the intensity difference of multi-source earthquake signals, improves the distinguishing degree of non-natural and natural earthquake edges, and builds a recognition foundation firmly.

The invention discloses a spectral analysis method and device for an arc discharge decomposer of a mixed environment-friendly gas, and the method comprises the steps: injecting the mixed environment-friendly gas into an arc discharge device, and setting discharge parameters; the mixed environment-friendly gas comprises perfluoroisobutyronitrile and carbon dioxide; the discharge parameters at least comprise discharge current and discharge voltage; controlling the arc discharge device to perform arc discharge so as to decompose the mixed environment-friendly gas to generate a decomposer; collecting decomposed products through a gas collecting device, and pretreating the decomposed products; analyzing the preprocessed decomposer through a spectrum instrument to obtain spectrum data; the spectral data at least comprises wavelength, intensity and peak value; acquiring a characteristic spectral line of the decomposer according to the spectral data; determining the type and the measurement concentration of the decomposer according to the standard database and the characteristic spectral line; and checking and correcting the measured concentration of the decomposer. According to the technical scheme provided by the invention, the reliability and the accuracy of decomposition product detection are improved.

The invention relates to the field of mining laser gas detection, in particular to a modulation and demodulation method and system for carrier noise suppression, and the modulation and demodulation method comprises the following steps: S1, generating a driving current sequence through a laser gas sensor; s2, collecting a light intensity sequence to carry out data reconstruction; s3, extracting a harmonic signal, sending the reconstructed sequence into a lock-in amplifier, and respectively extracting a second harmonic signal and a first harmonic signal; and S4, detecting the gas concentration through the ratio by using the mapping relation between the gas concentration and the ratio of the second harmonic signal to the first harmonic signal. According to the method, a continuous data discrete reconstruction technology is introduced into a modulation and demodulation process, and a reference time sequence is generated by utilizing the characteristics of a laser output signal, so that self-matching and dynamic adjustment of modulation frequency are realized, external signal interference is effectively avoided, and the harmonic extraction stability is improved; meanwhile, the hardware structure is simplified, and the adaptability of the system to different gas absorption spectral lines is enhanced.

The invention discloses an automatic frequency stabilization system based on dual-core correlation matching intelligent peak searching. The automatic frequency stabilization system comprises the following steps that S1, a saturated absorption spectrum light path and a circuit are built, debugged and optimized; s2, constructing a double-matching template; s3, triangular wave voltage scanning and clock timing are started, and signals are collected and transmitted; s4, starting a KCF algorithm, applying a template to track model matching, judging a result obtained by matching, finding a peak point and solving a corresponding scanning voltage; and S5, recording a peak point scanning voltage, closing a scanning signal, starting sinusoidal signal modulation, and giving a triangular wave scanning voltage corresponding to a peak value to the sinusoidal signal as an offset. The spectrum line peak value suspected area can be effectively positioned, the double-branch and correlation filtering tracking method can perform precise secondary searching in the suspected area, the locking precision is greatly improved, the long-term stability of 10-12 orders of magnitude is ensured, and meanwhile the good vibration interference resistance can be achieved when a vibration signal occurs.

The invention relates to the technical field of ore raw material analysis, and discloses an intermediate fusion strategy ore sample classification method based on random model combined data, and the method comprises the following steps: S1, collecting LIBS spectrum and Raman spectrum data of a manganese ore sample; s2, preprocessing the spectral data; s3, performing dimensionality reduction on the preprocessed LIBS and Raman data by adopting principal component analysis; s4, splicing the feature matrixes after dimension reduction to construct an intermediate fusion data set; s5, training a random forest classification model based on the intermediate fusion data set; and S6, carrying out classification and identification on the manganese ore samples by utilizing the trained model. According to the method, metal element characteristic spectral lines captured by the LIBS spectrum and molecular vibration characteristics identified by the Raman spectrum are organically integrated through an intermediate fusion strategy, two-dimensional identification is achieved, redundant information is effectively eliminated while main characteristics of the spectrum are reserved, and the accuracy and reliability of manganese ore sample classification are remarkably improved.

The invention relates to the technical field of spectrograph temperature drift calibration, in particular to a crop spectrograph temperature drift calibration method based on dynamic temperature drift compensation, which comprises the following steps of: acquiring an actual wavelength drift deviation value of each temperature measurement point and each characteristic spectral line; obtaining a predicted wavelength drift deviation value of each temperature measurement point and each characteristic spectral line; carrying out calibration processing on the crop spectrometer according to the deviation; and obtaining the corrected wavelength. According to the method, original data under different temperature points and different characteristic spectral lines are collected, and the nonlinear relation between the temperature and the wavelength drift distance is captured, so that the wavelength drift distance is expanded to the full wave band, compared with a temperature drift calibration mode of an existing crop spectrometer, the wavelength drift distance in a full temperature range can be obtained in the mode, and the accuracy of temperature drift calibration of the crop spectrometer is improved. And the nonlinear relationship between the temperature and the wavelength drift distance is considered, so that the accuracy and the stability of temperature drift calibration of the spectrometer are improved.

The invention discloses a multi-frequency sine coherent undersampling method and device, and the method comprises the steps: judging pqh < lt > for different harmonic frequencies h; judging whether N / 2 is true or not, and if yes, taking the value of the recovery spectral line Rh of the h-th harmonic as pqh; otherwise, performing pqh% Nlt; when N / 2 is established, the value of the recovery spectral line Rh of the hth harmonic wave is pqh% N, pqh% Nlt; when N / 2 is not satisfied, the value of the recovery spectral line Rh of the hth harmonic wave is N-pqh% N; n values which do not cause spectral line superposition are screened out one by one through accumulation of the sampling point number N, a corresponding spectral line mapping relation is obtained, and the spectral line position of the multi-frequency sinusoidal signal under the normal sampling condition is recovered and obtained. According to the method, all possible under-sampling frequencies of any given frequency spectrum distribution multi-frequency sinusoidal signals and the positions of frequency spectrum aliasing frequency points after under-sampling are rapidly solved, and the original frequency spectrum of the multi-frequency sinusoidal signals is recovered in a lossless mode.

The invention discloses an inversion method for obtaining an N2O gas volume mixing ratio profile based on a short-wave infrared laser occultation detection technology. The inversion method comprises the following steps: calculating a short-wave infrared atmospheric refractive index profile at the center position of an N2O gas absorption spectral line; calculating a collision parameter profile according to the short-wave infrared atmospheric refractive index profile, respectively calculating atmospheric transmittance profiles of an N2O gas absorption spectral line and a reference spectral line based on normalized energy data of infrared laser occultation detection, and executing Abel integral inverse transformation on a difference value between the atmospheric transmittance profiles to obtain an N2O gas absorption coefficient profile; converting the N2O gas absorption coefficient profile into an N2O gas initial volume mixing ratio profile; and by taking the N2O gas initial volume mixing ratio profile as an initial value, carrying out analog calculation on an atmospheric transmittance profile after N2O gas absorption, constructing a cost function, carrying out iterative optimization, outputting an N2O gas volume mixing ratio profile, and obtaining a final inversion result. According to the method, the inversion precision is improved.

The invention is applicable to the technical field of marine oil and gas resource exploration, and provides an intelligent monitoring system and method for carbon isotopes of wellbore gas, the system comprises an explosion-proof shell, and further comprises a gas pretreatment module for removing impurities affecting CH4 and C2H6 gas spectral lines and adjusting temperature and pressure of measured gas; the optical cavity detection module comprises a laser, a collimator, a detector and an MPC, and is used for completing the energy level excitation of the infrared light to the gas to be detected, the injection of a detection light source into the MPC from the laser, the multiple reflection of the detection light in the MPC, the built-in multi-beam laser light source, and the absorption detection of the multi-component gas through a single optical cavity; and the data processing module is used for collecting, processing, displaying and outputting the measured data in real time. The system is high in detection precision, high in environmental adaptability, high in response speed and miniaturized in equipment, and has a wide market prospect.

The invention discloses a method for determining and analyzing primary and secondary elements in dolomite and magnesite based on ICP-AES (Inductively Coupled Plasma-Atomic Emission Spectrometry), and relates to the technical field of determination and analysis of the primary and secondary elements, the method comprises the following steps: obtaining determination samples of the dolomite and the magnesite, pretreating the determination samples, obtaining spectral line interference conditions of each element based on the determination samples, and determining the spectral line interference conditions of the elements based on the spectral line interference conditions; the method comprises the following steps: pre-processing measured data, drawing a calibration curve of each element, obtaining the interference condition of the calibration curve of each element, and carrying out ICP-AES measurement on the pre-processed measured data to obtain a characteristic spectral line. According to the method, the source and the influence degree of the interference spectral line are determined by analyzing the spectral line interference condition, then targeted measures are adopted for correction, and meanwhile, concentration measurement deviation caused by chemical interference, physical interference, ionization interference and other factors is found by evaluating element concentration interference factors, so that the accuracy of the concentration measurement is improved. And correction is carried out by means of optimizing a sample pretreatment method, adjusting instrument working conditions and the like, so that the reliability and the stability of the analysis method are improved.

The invention provides a thermal injection gas temperature measurement method and system based on spectral absorption, and the method comprises the steps: obtaining absorption spectrum signals before and after ignition of thermal injection gas, and carrying out the baseline correction of the absorption spectrum signals after ignition based on the absorption spectrum signals before ignition; performing environmental absorption interference processing on the corrected post-ignition absorption spectrum signal to obtain a target absorption signal reflecting the self absorption characteristic of the thermal injection gas; based on the target absorption signal, total integral absorbance in the two different measurement frequency bands is determined, and according to the ratio of the total integral absorbance of the two different measurement frequency bands, the pre-established mapping relation between the total integral absorbance ratio and the temperature is combined, and the temperature of the thermal injection gas is obtained through inversion. The invention provides a thermal injection fuel gas temperature measurement method based on a combined absorption spectral line so as to solve the problems of alignment of absorption signal base lines, interference removal of absorption components outside fuel gas jet flow, temperature inversion based on the combined absorption spectral line and the like, and a high-temperature fuel gas jet flow temperature measurement result is obtained.

The invention discloses a resonant frequency tracking control method and system for a diamond nitrogen vacancy color center, and belongs to the technical field of quantum sensing. The method comprises the following steps: setting an initial center frequency output by a microwave source; in the tracking control process, fluorescence signal changes generated by the diamond nitrogen vacancy color center under the microwave frequency modulation effect are recorded, a full-amplitude demodulation amplitude value R is obtained through demodulation, and whether the full-amplitude demodulation amplitude value R is smaller than a dead zone threshold value or not is judged; if yes, the center frequency output by the microwave source is not changed; if not, calculating the microwave frequency regulation quantity delta f according to the full-amplitude demodulation amplitude R; determining the adjusting direction of the center frequency f0 of the microwave source according to the phase-frequency characteristic and the real-time demodulation phase difference delta phi in the current frequency tracking control process; according to the microwave frequency adjusting quantity delta f and the adjusting direction, the center frequency of the microwave source is adjusted for resonant frequency tracking; wherein the phase-frequency characteristic is the characteristic of the demodulation spectral line on the two sides of the resonant frequency. The robustness and the accuracy of the resonance frequency tracking method are enhanced.

The invention provides a method for remote sensing detection of a Jinstar intermediate layer atmosphere horizontal wind field profile by using a microwave limb radiometer, and the method comprises the steps: designing a detection channel of the Jinstar intermediate layer atmosphere horizontal wind field profile based on the characteristics of a Jinstar gas spectral line, obtaining radiation brightness temperature observation values of the detection channel at different tangent heights in two orthogonal directions through a microwave limb radiometer carried by a star orbiter; the characteristics of the golden star gas spectral lines are as follows: in a microwave frequency band, the golden star atmospheric trace gas spectral lines are rich and have obvious absorption peaks, and the high-speed atmospheric motion of the middle layer enables the gas absorption spectral lines to generate obvious Doppler frequency shift; and through physical iteration inversion, inversion is carried out based on the radiation brightness temperature observation value to obtain a golden star intermediate layer atmosphere horizontal wind field profile. The method has the advantages that back scattering and other intermediate processes are not needed, the method is basically not affected by ground surface high-temperature radiation, and continuous, stable, high-temporal-spatial-resolution and high-precision star intermediate layer atmosphere horizontal wind field profile information can be obtained all day long.

The invention discloses a system and a method for detecting furfural in transformer oil based on a photo-thermal lens spectrum. A quantum cascade laser is used as pumping laser, and a helium-neon laser is used as detection laser; a visible light-infrared light dichroscope, a chopper, a reflector, an attenuator, a plano-convex lens, a fixed optical path liquid pool, an iris diaphragm, a photoelectric detector, a lock-in amplifier, an upper computer and the like are arranged, so that in-situ rapid, accurate and high-sensitivity quantitative detection of trace furfural in the transformer oil is realized; through the pumping laser covering the infrared characteristic absorption spectral line in furfural, trace furfural molecules in the transformer oil absorb the pumping laser with the average power exceeding 100 mW to excite a strong thermal lens effect, and the detection performance is remarkably improved; in-situ and rapid detection of furfural in the transformer oil is realized by utilizing a thermal lens effect generated by absorption of furfural in the transformer oil on mid-infrared light.

The invention relates to a burst communication adaptive carrier synchronization method based on FFT. The method comprises the following steps: carrying out a first round of nonlinear transformation on a captured first sequence, then sequentially carrying out Fourier transformation, selecting even number spectrums from a plurality of amplitude spectrums, screening position indexes of spectral lines corresponding to a first peak value and a second peak value of each spectrum in the even number spectrums, and forming a position index set; solving an intersection of all position index sets of the even number spectrum, selecting a position index element with the highest overlapping degree, and determining a frequency offset coarse estimation value according to the position index element; obtaining a first peak value, a second peak value and a third peak value corresponding to the position index element from the plurality of amplitude spectrums, and then carrying out weighted averaging to obtain a final position index element; according to the final position index element, calculating to obtain a frequency offset precise estimation value; summing the coarse frequency offset estimation value and the fine frequency offset estimation value to obtain a frequency offset estimation overall value; and realizing carrier synchronization according to the frequency offset estimation overall value of the current round.

The invention discloses a mode locking system and a mode locking method suitable for microcavity ultrasonic detection. The system comprises a control module, a laser output module and a detection module, the laser output module comprises a single-frequency laser, a temperature adjusting unit, a temperature detection unit and a heat transfer unit, and the detection module is used for detecting a transmission spectral line of the microcavity ultrasonic probe and transmitting the transmission spectral line to the control module; the control module is used for controlling the temperature in the cavity of the single-frequency laser through the linear interpolation data, realizing linear regulation and scanning of the wavelength entering the cavity, and screening and locking the microcavity mode of the microcavity ultrasonic probe; the device is also used for detecting a locking site of a microcavity mode by adopting a temperature detection and light intensity voltage feedback design, and automatically adjusting the temperature in a mode drift process to adjust the wavelength so as to correct the mode drift of the microcavity. The functions of mode scanning, active mode selection and mode locking of the microcavity ultrasonic probe can be autonomously completed, and a stable, reliable, low-cost and high-sensitivity new scheme is provided for ultrasonic detection.

The invention is suitable for the technical field of gamma energy spectrum correction, and provides a lanthanum bromide detector gamma energy spectrum correction method based on LSTM, and the method comprises the following steps: carrying out the data preparation and pretreatment of a lanthanum bromide detector gamma energy spectrometer; constructing an LSTM network model, and training and testing the LSTM network model; and importing unknown actually measured original energy spectrum data of the lanthanum bromide detector gamma spectrometer into the trained LSTM network model, and predicting corresponding nuclide energy spectrum data. The problems of energy spectrum background, spectral line drifting, noise and the like existing in data collected by the lanthanum bromide detector gamma spectrometer are effectively solved. According to the invention, the method achieves the quick and stable correction of the gamma energy spectrum through the memory and processing capability of the LSTM network, can quickly obtain the nuclide spectral line used for determining the characteristic peak and peak area of the radionuclide, remarkably reduces the interference of human factors in the processing of energy spectrum data, and improves the accuracy and efficiency of data processing.

The invention relates to a final state detection device for an atom interferometer and a detection method thereof. The device comprises a detection laser collimator, a first coupling lens, a resonant cavity, a second coupling lens, a photoelectric detector and a computing terminal, the resonant cavity comprises a first cavity mirror and a second cavity mirror which are located on the two sides of a vacuum cavity of the atom interferometer and are oppositely arranged. To-be-tested atomic groups in different test states are arranged in the vacuum cavity; in each test state, the detection laser collimator is used for outputting detection laser and enabling the detection laser to enter the vacuum cavity through the first coupling lens and the first cavity mirror, and the detection laser passes through an atomic group to be tested for many times and is coupled to the photoelectric detector through the second cavity mirror and the second coupling lens. Enabling a computing terminal to obtain the transmission light power of the detection laser in each test state through a photoelectric detector, so as to determine the atomic final state population information after the atomic interference; and the detection laser resonates with the transition spectral line of the atomic group to be detected. According to the invention, the measurement precision of the final-state atomic population information can be improved.

The invention provides a spectral measurement method of a two-dimensional spectrometer, which comprises the following steps of: forming a two-dimensional spectrogram by adopting a cross dispersion mode, and calculating the spectrogram to obtain spectral information of a measured light source; the method comprises the following steps: S1, calculating an ideal spectrogram model: obtaining a corresponding relation between a dispersion wavelength and a spatial position of incident light under an ideal condition by utilizing a dispersion equation of a cross dispersion element and structural parameters of an optical system; s2, obtaining a corrected spectrogram model: measuring a light source with known characteristic spectral lines to obtain a two-dimensional spectrogram, and performing parameter inversion on the structural parameters of the optical system involved in the step S1 to obtain the corrected spectrogram model; s3, establishing wavelength-pixel mapping: performing coordinate value fitting on wavelength data in the corrected spectrogram model to complete mapping from the corrected spectrogram model to actual pixel coordinates; and S4, measuring the spectral information of the measured light source: obtaining the spectral information of the measured light source by using the wavelength-pixel mapping relationship established in S3, thereby effectively improving the accuracy, stability and efficiency of the spectral measurement of the two-dimensional spectrometer.

The invention discloses a time-resolved LIBS (laser-induced breakdown spectroscopy) system and a sample component analysis method and product thereof, and relates to the field of laser-induced breakdown spectroscopy. After the sample is irradiated by the ablation laser, plasma is generated; in the plasma expansion and cooling process, excited state atoms and ions are subjected to energy level transition, and a characteristic radiation spectrum is released; the delay control module sets different delay time so as to control the working time interval of the laser generator and the spectrograph; the spectrograph receives the characteristic radiation spectrums at different delay times by using an optical fiber probe, stimulates the characteristic radiation spectrums at the integration time, and determines characteristic radiation spectral lines of different elements; and the computer analyzes the characteristic radiation spectral lines, determines spectral line intensities of different elements, and determines a component result of the sample in combination with the calibrated spectral line intensities and the element content function curve so as to improve the accuracy of the component result of the sample.

The invention relates to the technical field of spectrograph calibration, in particular to a spectrograph spectrum calibration and radiometric calibration method. According to the technical scheme, the method comprises spectrum calibration and radiometric calibration, the spectrum calibration comprises the steps that firstly, a standard light source is adopted for conducting initial spectrum calibration on an uncalibrated spectrometer to obtain an initial spectrum calibration equation, and then optical differential thickness data is obtained through a sample gas measurement experiment and combined with standard gas absorption cross section data; and calculating a wavelength difference value to correct the initial spectrum calibration equation to obtain a final spectrum calibration equation. The wavelength absolute error precision after spectrum calibration is improved by nearly one order of magnitude, the radiometric calibration error is greatly reduced, the stability and accuracy of radiometric calibration are remarkably improved, the problems that a traditional calibration method is limited in spectral line, poor in light source stability and large in extrapolation error are effectively solved, and the method is suitable for popularization and application. And a solid guarantee is provided for high-precision application of the spectrograph in the fields of environmental monitoring, material science, remote sensing technology and the like.