12 results about "Energy interval" patented technology

The invention discloses a GEO and SSO cross-platform satellite high-energy proton data collaborative calibration method based on a solar proton event, and the method comprises the steps: obtaining high-energy proton observation data and space environment disturbance parameter data of GEO and SSO, and carrying out the preprocessing, and obtaining high-energy proton data, satellite space-time position data and environment parameters of a unified flux type; screening high-energy proton data during the event period according to the sun proton event definition to obtain a plurality of event data sets and grouping the event data sets; performing alignment processing on the screened high-energy proton data of the GEO and the SSO; based on the power law spectrum characteristics of the solar proton event, constructing the energy matching relation of each energy channel of GEO and SSO, and determining the effective energy and energy interval of each energy channel of SSO through point-by-point spectrum fitting and statistical inversion; and recalculating the differential flux of the GEO in a corresponding energy channel by using the calibrated effective energy, establishing a point-by-point scatter matrix of the two types of satellite data, and performing linear fitting and correlation analysis to realize calibration.

The invention provides a pixel-level spatial resolution multi-energy X-ray material identification method and system, which is combined with a graph neural network to realize pixel-level material identification, and comprises the following steps: acquiring multi-energy X-ray image data of a sample; selecting a pixel region as an analysis unit, and constructing an energy-space diagram, including defining each pixel point of each energy interval as a node of the energy-space diagram, and establishing a first class of edges connecting adjacent nodes on the space and a second class of edges connecting nodes of the same pixel point space coordinate but in different energy intervals; and inputting the energy-space graph into a pre-trained graph neural network model so as to generate feature representation capable of representing material attributes of the pixel region through multiple rounds of message passing and aggregation, and outputting material categories through a classifier. According to the method, the spatial information and the energy spectrum information are deeply fused, so that the accuracy, the robustness and the data utilization efficiency of classification of low-atomic-number and near-density materials are remarkably improved, and meanwhile, the dependence on an accurate physical model is reduced.

The application provides a method for analyzing a 4H-SiC femtosecond laser processing optimal energy interval, and belongs to the technical field of engineering optics based on computer data processing. First, the evolution of electron density, lattice temperature and electron temperature under irradiation is simulated by constructing a three-dimensional model and an electron density cumulative rate equation and a double-temperature model, so that the lattice modification threshold and the ablation threshold are determined. Then, a plurality of experimental data points are selected in the interval for single-pulse laser processing, the surface morphology, removal depth and removal radius of each data point are counted by using conventional characterization methods, and the accuracy and non-thermal removal threshold of the model are determined by observing the number of surface spatter particles and the flux calculation of the morphology edge. Further, the optimal structure modification energy interval, cold processing interval and hot ablation processing interval of 4H-SiC are determined. The application uses fewer sample damage test times, improves the sample utilization rate, shortens the research period, and accelerates the flux screening of the optimal laser processing.

This invention discloses a real-time energy response correction method, system, and terminal for a dose rate meter. The method involves acquiring the pulse amplitude spectrum of the detector under several different monoenergetic X / γ-ray conditions to obtain the detector's amplitude-energy response function and energy spectrum broadening function. The method also simulates the energy deposition spectra of the detector under several other monoenergetic X / γ-ray conditions and performs energy spectrum broadening to obtain their corresponding simulated energy spectra. The energy range is divided into a certain number of energy intervals, and a linear programming optimization algorithm is used to obtain the correction coefficients for each energy interval. In experiments at different dose rates, the measured pulse amplitude spectrum per unit time is converted into an energy spectrum using the amplitude-energy response function. The count rates of each energy interval are weighted and summed using the correction coefficients to obtain the weighted total count rate as the detector's response value. Finally, a conversion function from count rate to dose rate is fitted, and a program is written to realize the real-time calculation and conversion from pulse amplitude spectrum to dose rate.

The invention relates to the technical field of radioactive substance safety management, and particularly discloses a radioactive source safety tracking and management system, which is characterized in that an acquired radiation signal is converted into a digital pulse sequence containing accurate energy information, and the digital pulse sequence is deconstructed into multi-dimensional energy spectrum distribution data; in combination with a nuclide feature knowledge base and physical layout parameters, extracting a feature spectrum energy interval of each radioactive source through strict physical reachability verification, and establishing an intensity data stream; analyzing space-time correlation of the cross-monitoring-point intensity data according to the layout parameters, and identifying and separating a scattering interference energy interval through weighted cross-correlation operation; consistency comparison is carried out on the purified characteristic spectrum section intensity data flow and the motion state data of the corresponding radioactive source, and only when abnormal changes cannot be reasonably explained by normal operation and residual interference, the abnormal changes are judged as safety risks and early warning is generated; according to the invention, physical field interference can be stripped from a data source, and accurate monitoring of the abnormal state of the radioactive source in a complex radiation environment is realized.

The application relates to a material testing method based on an energy dispersion X-ray spectrometer, and an electronic device, the testing method sets different fitting calculation peak strengths and peak positions for single-peak, overlapping-peak and light-element-dominant peaks, and cooperates with a quantitative calculation method of a peak area-sensitivity factor method, so that the success rate of material analysis and the analysis result accuracy can be effectively improved; by extracting EDX energy spectrum diagrams to perform characteristic analysis on peak fitting degrees, signal-to-noise ratios, energy intervals and total peak numbers, a random forest classifier is used to perform classification analysis on input characteristics to output energy spectrum type labels, and then corresponding algorithms in an algorithm library are automatically matched, the reproducibility of material analysis results is improved, batch processing is supported, 1000+ samples per day can be analyzed, and the testing results are reliable, accurate, and have good reproducibility.

The invention provides a method for analyzing the optimal energy interval of 4H-SiC femtosecond laser processing, and belongs to the technical field of engineering optics based on computer data processing. The method comprises the following steps: firstly, respectively simulating evolution of electron density, lattice temperature and electron temperature under irradiation by constructing a rate equation of a three-dimensional model and electron density accumulation and a double-temperature model, and determining a lattice modification threshold value and an ablation threshold value; then, a plurality of experimental data points are selected in the interval for single-pulse laser processing, a conventional characterization means is used for counting the surface appearance, the removal depth and the removal radius of each data point, and the accuracy and the non-thermal removal threshold value of the model are calculated and determined by observing the number of splashing particles on the surface and the appearance edge flux. And further determining an optimal structure modification energy interval, a cold processing interval and a thermal ablation processing interval of the 4H-SiC. According to the method, less sample damage test times are used, the sample utilization rate is increased, the research period is shortened, and flux screening of optimal laser processing is accelerated.

The invention discloses a source-side key time sequence interval forecasting and credibility evaluation method for a wind-light-water multi-energy hybrid system. The method comprises the following steps: acquiring a multi-dimensional time sequence input sample set; constructing a causal structure model to decouple the exogenous natural output and the scheduling control effect to obtain exogenous uncertainty to-be-calibrated data and control effect to-be-evaluated data; executing multi-time scale conformal calibration only for the exogenous uncertainty to-be-calibrated data to obtain an exogenous uncertainty calibration result; and finally, generating a physically feasible and decision-related multi-energy interval forecasting result by integrating the exogenous uncertainty calibration result, the control effect to-be-evaluated data, a pre-stored physical constraint and operation boundary model and a scheduling decision demand. According to the method, the problems of error source confusion and statistics and physics disjunction in traditional prediction are solved, and the robustness and availability of interval prediction under the condition of scheduling strategy change are improved.

The application discloses a photon counting detector correction method and device. The method comprises the following steps: determining the count rate of each energy interval of photon counting data according to the photon counting data output by a photon counting detector; determining the corresponding theoretical count rate according to the pulse pile-up model of the photon counting detector and the count rate sum of each energy interval; the pulse pile-up model represents a first corresponding relationship between the actual count rate and the theoretical count rate; determining the first pile-up compensation amount of each energy interval according to the count rate of each energy interval and the theoretical count rate; and correcting the count rate of the corresponding energy interval by using the first pile-up compensation amount of each energy interval. The application calculates the pile-up compensation amount based on the pulse pile-up model representing the first corresponding relationship between the actual count rate and the theoretical count rate, and corrects the count rate, so that the actual operation is simple, the calculation amount is small, the correction is more accurate, and the correction effect can meet the clinical use requirements.

The application discloses a kind of gamma contamination monitor and monitoring method suitable for large volume article monitoring, including inside hollow shell, controller, large area plastic scintillator gamma detector and multichannel energy spectrum data acquisition module;Multichannel energy spectrum data acquisition module receives nuclear pulse signal detected by gamma detector and converts it into energy spectrum data;Controller according to the size of all energy spectrum data divides all energy spectrum data to 3 energy intervals, and respectively to the energy spectrum data in 3 energy intervals is fused, to obtain the nuclide distribution of 3 energy intervals;According to nuclide distribution and preset interval reference nuclide, activity conversion is carried out, and activity and specific activity are obtained.The purpose of the present application is to provide a kind of gamma contamination monitor and monitoring method suitable for large volume article, using relatively cheap large area plastic scintillator and multichannel energy spectrum data acquisition module, form has the ability to measure more than 300L large package and article.

The application discloses a kind of wind light water multi-energy hybrid system source side key time sequence interval prediction and credibility evaluation method, comprising: obtaining multidimensional time sequence input sample set;Causal structure model is constructed to decouple exogenous natural output and scheduling control effect, obtain exogenous uncertainty to be calibrated data and control effect to be evaluated data;Only for the exogenous uncertainty to be calibrated data, multi-time scale conforming calibration is carried out, and exogenous uncertainty calibration result is obtained;Finally, the exogenous uncertainty calibration result, the control effect to be evaluated data, the pre-stored physical constraint and operation boundary model, and the scheduling decision demand are comprehensively generated, and the multi-energy interval prediction result that is physically feasible and decision-related is generated.The application solves the problem of error source confusion and statistical and physical disconnection in traditional prediction, and improves the robustness and availability of interval prediction under the change of scheduling strategy.

The present application relates to a kind of neutron energy spectrum measurement method and measurement system, wherein the measurement method includes: obtaining the neutron signal obtained by detecting incident neutron beam with detector, detector includes multiple;After processing, neutron signal obtains processing signal;Based on processing signal, the neutron counting rate of each detector is obtained;Set the initial neutron counting rate of the jth energy interval in incident neutron beam as the initial neutron counting rate is substituted into formula and iteratively calculated, when the absolute value of the difference of with is less than the first threshold value of pre-set, it is the neutron counting rate of the jth energy interval in incident neutron beam;The neutron counting rate corresponding to the n energy intervals corresponding to the incident neutron beam of each detector is calculated in turn, and the neutron energy spectrum of incident neutron beam is obtained.The measurement method of the present application is simple in measurement process, and high in accuracy.