5 results about "Solar flare" patented technology

This invention relates to the field of image processing technology, providing a method for removing nighttime flares based on the law of illumination and dynamic masking. The method includes: using a pre-trained depth estimation model to process a background image and a flare image based on the law of illumination to obtain a baseline image for the deep learning model; processing the baseline image of the deep learning model through a dynamic masking module to obtain an input image for the deep learning model; inputting the input image of the deep learning model into a neural network model; concatenating the output of the neural network model with the baseline image of the deep learning model; and finally, passing the convolutional layer to obtain an image with the flares removed. This invention constrains the strength relationships between multiple flares through the law of illumination and depth estimation, enabling the synthesis of a flare dataset that better conforms to the physical laws of the real world. Furthermore, the dynamic masking module allows the model to focus more on processing the flare region, achieving excellent image restoration results.

The application discloses a kind of solar flare X-ray full-link simulation method and system based on Geant4, belong to space satellite detection and numerical simulation technical field.The method includes: build high-performance hybrid parallel computing platform based on Geant4;Based on the platform, construct layered magnetized solar atmosphere model, configure physical process list and generate high-energy electron particle source;Through light tracing algorithm and self-defined step action module, the transmission, scattering and polarization evolution of X-ray in layered magnetized solar atmosphere are tracked and simulated;Through pixelated imaging and data output module, photon information is mapped to multiple virtual detector imaging planes, and X-ray imaging, energy spectrum and polarization degree data of different observation angles are output.The application solves the problems of existing model and multi-satellite stereoscopic observation data mismatch, Compton scattering details missing, polarization information deficiency and low computing efficiency, and provides an effective tool for analysis and simulation of multi-satellite joint observation data.

The invention discloses a Geant4-based solar flare X-ray full-link simulation method and system, and belongs to the technical field of space satellite detection and numerical simulation. The method comprises the following steps: building a Geant4-based high-performance hybrid parallel computing platform; a layered magnetization solar atmosphere model is constructed based on the platform, a physical process list is configured, and a high-energy electron particle source is generated; through a ray tracing algorithm and a user-defined stepping action module, tracking simulation is carried out on transmission, scattering and polarization evolution of X-rays in the layered magnetized solar atmosphere; and through a pixelated imaging and data output module, the photon information is mapped to imaging planes of a plurality of virtual detectors, and X-ray imaging pictures, energy spectrums and polarization degree data of different observation visual angles are output. The problems that an existing model is not matched with multi-satellite stereoscopic observation data, Compton scattering details are missing, polarization information is insufficient and calculation efficiency is low are solved, and an effective tool is provided for analysis and simulation of multi-satellite combined observation data.

The application discloses a kind of X-ray solar flare automatic detection method and system based on dual-mode trigger and nested interruption, which comprises: obtaining satellite X-ray flux data, and pre-processing to obtain standard flux sequence;Standard flux sequence is simultaneously monitored by dynamic parallel dual-mode trigger of ultrafast mode and conventional mode;When any mode meets trigger criterion, parallel double end determination mechanism of conventional attenuation determination and nested interruption truncation is used, event end time is obtained, and flare event closed loop interval is determined;For each flare event closed loop interval, the maximum flux value and the corresponding peak time are extracted, the peak time is reversed backtracking, the start time is corrected, and the flare event and the corresponding start and end time are output.The present application greatly improves the detection rate of strong flare, effectively controls the error of time parameter determination, and eliminates the uncertainty of subjective research and judgment;Lightweight algorithm and high physical interpretability are suitable for engineering low-power deployment.

The application discloses a kind of solar flare prediction methods based on multi-feature fusion, comprising the following steps: S1: obtaining solar observation data within a certain time, and extracting prediction factor and flare burst data from it, different prediction factors are marked with a, b, c……, different flare burst data are marked with alpha, beta, gamma……;S2: different prediction factors and flare burst data are used to construct data set, and each prediction factor needs to be correspondingly constructed with each flare burst data, different data sets are marked with (a, alpha), (a, beta), (a, gamma)……, then each data set is divided into training set and test set.The application predicts the occurrence of solar flare by multiple prediction factors and calculation model, and summarizes and corrects the result set obtained by the calculation model through the result model, so as to obtain a result with higher confidence, effectively improving the accuracy of the model in predicting solar flare.