20 results about "Cosmic ray" patented technology

The present disclosure describes a method for conditioning and preprocessing raw cosmic ray data to extract features and generate a binary string representing the inherent randomness in the data. Measurable characteristics of cosmic ray particles, such as arrival times and amplitudes, are processed to create random binary sequences. These binary strings are then used to train a generative adversarial network (GAN) framework. In the GAN framework, the generator creates random sequences resembling the target distribution, which matches the entropy of the conditioned cosmic data. The discriminator evaluates the generated sequences by comparing them to the conditioned cosmic data and assigns a randomness score that characterizes the quality of the generated sequences. This adversarial process ensures the generation of high-quality random sequences that are statistically indistinguishable from the conditioned input data.

The invention belongs to the technical field of laser Raman gas analysis and detection, and particularly relates to a zero drift suppression and ray interference resistance method for laser Raman gas detection. According to the method, the interference of noise and cosmic rays in the laser Raman gas quantitative detection process can be reduced, so that the precision of a laser Raman gas quantitative detection result is relatively high, a data abnormal phenomenon hardly exists, and the probability of zero drift can be reduced. According to the method, the influence caused by noise and cosmic rays can be eliminated in a large probability.

The utility model relates to a high-sensitivity radioactive gas activity measuring device which comprises a set of double-beta plastic scintillator detector, two sets of gamma detectors, an anti-cosmic ray detector group and a digital coincidence circuit. The double-beta plastic scintillator detector and the gamma detectors are arranged in the lead shielding chamber, the double-beta plastic scintillator detector is arranged between the two gamma detectors, and mutual interference among radioactive gases in the double-beta plastic scintillator detector can be eliminated through coincidence and anticoincidence among four paths of signals; and the anti-cosmic ray detector group is used for shielding coincidence signals generated by cosmic rays in the double-beta plastic scintillator detector and the gamma detector. According to the utility model, a gamma detector original spectrum, an anti-cosmic ray gamma spectrum, a beta-gamma coincidence spectrum and an anti-cosmic ray beta-gamma coincidence spectrum, wherein the beta-gamma coincidence spectrum and the anti-cosmic ray beta-gamma coincidence spectrum are used for eliminating mutual influence among different radioactive gases. According to the utility model, synchronous measurement of different radioactive gases can be realized, and the detection sensitivity of the radioactive gases can be greatly improved.

The present disclosure describes a method for conditioning and preprocessing raw cosmic ray data to extract features and generate a binary string representing the inherent randomness in the data. Measurable characteristics of cosmic ray particles, such as arrival times and amplitudes, are processed to create random binary sequences. These binary strings are then used to train a generative adversarial network (GAN) framework. In the GAN framework, the generator creates random sequences resembling the target distribution, which matches the entropy of the conditioned cosmic data. The discriminator evaluates the generated sequences by comparing them to the conditioned cosmic data and assigns a randomness score that characterizes the quality of the generated sequences. This adversarial process ensures the generation of high-quality random sequences that are statistically indistinguishable from the conditioned input data.

The application discloses a muon incident position prediction method and system, and belongs to the technical field of muon detection. The application sets up a multi-layer muon detection array in a to-be-detected area, and establishes a reverse propagation correction track based on muon events obtained by each detection unit. After voxelization of the to-be-detected area, track response, energy response, scattering response and propagation uncertainty response are generated according to the distance between voxels and the reverse propagation correction track, and voxel fingerprint features are spliced. Variance is taken for the track, energy and scattering response at each time, and reverse mapping is performed to obtain stable evolution features. The fingerprint features and the stable evolution features are fused to construct a stability-gated correction-type enhanced adjacency matrix, and a graph convolution classification network is used for position prediction. The application significantly improves the prediction accuracy of the muon incident position through multi-dimensional response fusion and stability enhancement mechanism, and can be widely applied to muon transmission imaging and cosmic ray monitoring scenes.

1. The name of the design product: cosmic ray particle observation device. 2. The use of the design product: for cosmic ray particle observation. 3. The design points of the design product: in shape. 4. The picture or photo that best shows the design points: perspective view. 5. Other circumstances that need to be explained: the front view and part A of the perspective view show transparent material; the rear view and part B of the perspective view show transparent material; the left view and part C of the perspective view show transparent material; the right view and part D of the perspective view show transparent material; the top view and part E of the perspective view show transparent material.

This invention discloses a spectral analysis method, apparatus, device, and storage medium. It includes: acquiring raw spectral data to be analyzed; preprocessing the raw spectral data to obtain preprocessed spectral data; performing multi-peak fitting on the preprocessed spectral data using an iterative residual peak-finding fitting algorithm to obtain a final fitted spectrum and a final residual spectrum; and generating spectral analysis results based on the final fitted spectrum and the final residual spectrum. Preprocessing the raw spectral data effectively eliminates background interference, cosmic ray pseudo-signals, and random noise, improving the signal-to-noise ratio of the spectral data. Using the iterative residual peak-finding fitting algorithm for multi-peak fitting accurately identifies and fits all significant spectral peaks, avoiding underfitting and overfitting problems, and improving the accuracy of multi-peak fitting. The generated spectral analysis results can accurately extract core feature indicators, and the fitting quality can be verified through residual spectroscopy, ensuring that the analysis results are accurate and reliable, truly reflecting the structural characteristics of the material.

The invention relates to a method and a device for deducting cosmic rays in real time in environmental radiation monitoring. The method comprises the following steps: constructing a first linear equation of a background dose equivalent rate about an environmental dose equivalent rate and a cosmic ray dose equivalent rate; acquiring a plurality of radiation dose rates in the environment measured by the plurality of detectors at the current moment; constructing a plurality of second linear equations of radiation dose rates with respect to cosmic ray dose equivalent rates; determining a background dose equivalent rate based on simultaneous equation and equation set; simultaneous operation is carried out on the second linear equation set, and the cosmic ray dose equivalent rate is determined; and deducting the cosmic ray dose equivalent rate at the current moment based on the first linear equation and the background dose equivalent rate, and determining the environmental dose equivalent rate. According to the invention, the dose equivalent rate generated by the cosmic rays in real time is calculated, and the dose equivalent rate of the cosmic rays is deducted in real time, so that the technical effects of improving an original constant value into the dose equivalent rate of the cosmic rays generated in real time and reducing the deviation of the environmental dose rate equivalent are achieved.

The application discloses a small celestial body density detection device and method based on cosmic rays. The small celestial body density detection device comprises a time flyer, the time flyer comprises a first time flyer and a second time flyer arranged along a first direction, and a mounting cavity is arranged between the time flyer and the second time flyer; a lead absorbing body is arranged for absorbing part of background particles; a radiation body is arranged for absorbing muons and radiating Cherenkov photons; a detection layer comprises a first detection layer and a second detection layer, and the first detection layer and the second detection layer are respectively arranged at two opposite side ends of the radiation body along the first direction; the Cherenkov photons projected on the detection layer form a Cherenkov light ring, and the detection layer is used for converting optical signals into electrical signals; and a collection and processing module is arranged for collecting the number of electrical signals and inverting the attenuation flux of muons.

The application provides a MCP life test method and system for high-energy cosmic rays, and aims to solve the technical problem that the current method of evaluating MCP life by marking the output brightness gain change of an image intensifier is prone to system error. The test method comprises the following steps: sequentially placing an electron cathode, a to-be-tested MCP sample and an anode plate in a high-vacuum tube, sequentially arranging an adjustable diaphragm and the high-vacuum tube on a high-energy light source incident light path; closing the adjustable diaphragm, turning on the high-energy light source and calibrating the high-energy light source; sequentially applying a high-voltage electric field to the anode plate, the to-be-tested MCP sample and the electron cathode; adjusting the position and aperture size of the adjustable diaphragm; after electrons sequentially undergo electron multiplication and electron collection through the to-be-tested MCP sample and the anode plate, the anode plate outputs current; detecting the output current of the anode plate, taking the maximum laser intensity as a reference, and performing normalization processing on the laser intensity in the measurement interval; and obtaining the life of the to-be-tested MCP sample.

The application provides a Raman spectrum cosmic ray peak identification method based on multi-feature fusion, which can accurately identify typical high and narrow cosmic ray peaks and narrow but low, high but wide and overlapping variant peaks. The identification steps comprise: 1) performing first-order differential processing on the original Raman spectrum to obtain a differential spectrum, and then performing threshold screening on the positive and negative differential vertexes in the differential spectrum to obtain a candidate peak set; 2) taking the positive and negative differential vertexes of the candidate peak as starting points, performing percentile threshold detection on the differential spectrum to preliminarily locate the peak boundary, and then performing percentile threshold detection on the original Raman spectrum to accurately locate the left and right boundary points of the peak; 3) calculating the left edge pixel width, right edge pixel width, boundary point pixel width, half-peak height pixel width and differential vertex pixel width of the candidate peak, then performing weighted fusion calculation on the pixel width to obtain a score value, and finally identifying the cosmic ray peak according to the score threshold.

This application provides a cosmic ray identification method, electronic device, and storage medium. The method includes: acquiring a Raman spectrum set of a sample to be tested; determining the column-oriented robust Z-score of each wavenumber point in the Raman spectrum set under each wavenumber series, and determining a column threshold based on the Raman spectrum set and the column-oriented robust Z-score of each wavenumber point under each wavenumber series; determining the row-oriented locally robust Z-score of each wavenumber point in the Raman spectrum set under each spectral row, and determining a row threshold for each spectral row based on the row-oriented locally robust Z-score of each wavenumber point under each spectral row; identifying each cosmic ray point in the Raman spectrum set based on the column-oriented robust Z-score of each wavenumber point under each wavenumber series, the column threshold, the row-oriented locally robust Z-score of each wavenumber point under each spectral row, and the row threshold for each spectral row, and restoring the light intensity at each cosmic ray point to obtain the target Raman spectrum set of the sample to be tested, thereby improving the accuracy of cosmic ray identification.

The invention discloses a cache data integrity verification method oriented to a deep space NDN network, relates to the technical field of network communication and information security, and solves the problems that in the prior art, deep space NDN cache data is prone to damage due to radiation, retransmission delay is high, and an active verification mechanism suitable for on-satellite resource-limited nodes is lacked. According to the method, four entities including a producer, a consumer, a content storage cache module and an auditor complete verification through an initialization stage, a data uploading stage, an auditing tree construction stage, an auditing stage and damage processing. According to the method, the integrity and authenticity of the cached data and signature of the NDN node under the influence of a large number of cosmic rays in the deep space are efficiently verified and ensured, so that remote data retransmission caused by data damage is reduced to the maximum extent, the overall end-to-end transmission delay is remarkably reduced, and the real-time performance and efficiency of deep space communication are improved.

The application provides a star image screening method and system for spatial telescope astronomical image evaluation, and relates to the technical field of optical astronomical image processing. The application obtains astronomical original image data observed by a spatial telescope and performs binaryzation processing, then performs connected domain analysis on a bright region included in the binaryzation image to obtain a connected domain list; performs two-dimensional Gaussian fitting calculation on each connected domain included in the connected domain list to obtain parameter information corresponding to each connected domain; and performs multi-round elimination screening according to the parameter information corresponding to each connected domain based on a preset screening condition to obtain a star image screening result. The application can quickly extract and screen out isolated high signal-to-noise ratio star images from a spatial telescope astronomical image, effectively eliminates cosmic rays, saturated star images, star clusters, overlapping star images and edge star images, and improves the accuracy and timeliness of the evaluation of the image quality, focusing and pointing of the astronomical image in the operation control field of the astronomical telescope.

This radio communication system (1) comprises: an acquisition unit (31) that acquires cosmic ray information including at least one of information indicating a state of a source of generation of cosmic rays and an observation result of the cosmic rays; an estimation unit (32) that estimates a generation trend of the cosmic rays on the basis of the cosmic ray information acquired by the acquisition unit (31); and a distribution unit (33) that distributes processing of a base station to a plurality of physical resources on the basis of a result of the estimation.

The application discloses a cosmic ray removing method in multi-exposure image superposition, and the method is characterized by using a sub-sample including reduced cosmic rays to perform statistics, so that more accurate mean and standard deviation can be obtained, and a voting method is used to avoid mis-removing of cosmic rays in some regions. Compared with the prior art, the method has the following advantages: 1) the unreasonable use of the median instead of the mean in the Drizzle method is avoided, and the rough method of directly using the whole sample to obtain the mean is avoided, the pollution of the cosmic rays in the high flow end of the whole sample to the statistical result is reduced, and more accurate mean and standard deviation of the aligned pixel flow can be obtained; and 2) the voting mechanism is used to avoid misjudgment of the cosmic rays as much as possible. Compared with the prior art which is widely used, the cosmic ray removing method can effectively reduce the error rate, and can control the missing rate and the mis-removing rate of the cosmic rays to a more ideal level.

Methods and systems for cosmic ray sensing soil moisture management included at least one cosmic ray sensor (CRS) positioned within an environment. The CRS detects a plurality of cosmogenic neutrons from a portion of the environment. A computing platform is in communication with the at least one CRS. Data corresponding to the detected plurality of cosmogenic neutrons is communicated to the computing platform. A processing system is within the computing platform. The processing system determines a moisture level within the portion of the environment based on the detected plurality of cosmogenic neutrons. The processing system is configured to activate an irrigation controller which controls an irrigation network positioned at least partially within the portion of the environment based on the determined moisture level. The methods and systems may be used to manage moisture levels within agricultural crops and turf grass, such as on golf courses.

The present disclosure describes a method for conditioning and preprocessing raw cosmic ray data to extract features and generate a binary string representing the inherent randomness in the data. Measurable characteristics of cosmic ray particles, such as arrival times and amplitudes, are processed to create random binary sequences. These binary strings are then used to train a generative adversarial network (GAN) framework. In the GAN framework, the generator creates random sequences resembling the target distribution, which matches the entropy of the conditioned cosmic data. The discriminator evaluates the generated sequences by comparing them to the conditioned cosmic data and assigns a randomness score that characterizes the quality of the generated sequences. This adversarial process ensures the generation of high-quality random sequences that are statistically indistinguishable from the conditioned input data.