9 results about "Redshift" patented technology

The embodiment of the invention provides a spectrum red shift measurement method, device and equipment and a medium, which can be applied to the fields of astronomical information technology and high-performance computing technology, and the method comprises the following steps: receiving N observation spectrum data to be measured; determining a processing mode of the observed spectrum data; in response to the processing mode being a first processing mode, processing the observation spectral data through a first calculation path, the first calculation path performing red shift measurement calculation based on a first numerical calculation library by matching the observation spectral data with a set of template spectral data to obtain a calculation result, the calculation result of the first numerical calculation library is consistent with the calculation result of a reference algorithm within a preset precision range; in response to the processing mode being a second processing mode, the observed spectral data is processed through a second computational path that reconstructs the redshift measurement calculations into a tensor parallel model based on a second library of numerical calculations and performs on parallel computing hardware, the second library of numerical calculations supporting tensor calculations.

The invention provides a wide-area tomography calculation astronomical imaging system and device, and the system comprises a snapshot spectral imaging module which is used for capturing full-view three-dimensional hyperspectral data of an observation view field; the red shift resolving module is used for processing the three-dimensional hyperspectral data through a hybrid algorithm based on the three-dimensional hyperspectral data, and inverting a target red shift value, three-dimensional space coordinates and physical parameters of the target celestial body; the chromatography data visualization module is used for generating a three-dimensional chromatography map through pseudo-color labeling and a three-dimensional modeling method based on the target red shift value, the three-dimensional space coordinates and the physical parameters; and the control module is used for configuring the snapshot spectral imaging module based on the observation target parameters. According to the method, high-precision cosmic chromatography of a wide-area sky area is realized, three-dimensional hyperspectral data is converted into a visual and reliable three-dimensional space distribution model and a physical parameter map, and reliable technical support is provided for frontier research of cosmic large-scale structures, galaxy evolution and dark matter distribution.

The invention discloses a method for ratio type colorimetric detection of perchlorate. The method comprises the following steps: performing specific surface modification on gold nanoparticles, constructing a methylene blue functionalized gold nanoparticle (MB (at) AuNPs) colorimetric probe, inducing a particle aggregation effect by utilizing specific interaction between perchlorate and MB (at) AuNPs, triggering red shift of a localized surface plasma resonance absorption peak of the probe, and detecting the concentration of the MB (at) AuNPs. And a 523 nm (dispersed state characteristic peak) and 660 nm (aggregation state characteristic peak) dual-wavelength absorption signal is formed. Ratio-type quantitative analysis is realized by calculating the ratio (A660 / A523) of the absorbance of the two wavelengths, and the defect that single-signal detection is easily influenced by environmental fluctuation and system condition change is effectively avoided. Based on the response characteristics, a dual quantitative relation between the ratio of the concentration of the perchlorate to the absorbance and the ratio of the color intensity of an image collected by the smart phone is further established, and an ultraviolet-visible spectrophotometry-smart phone image analysis dual-mode detection system is constructed. Wherein the detection limit of the spectrum detection mode is 2.77 [mu] M, and the detection limit of the smart phone auxiliary detection mode is 5.63 [mu] M. The method is simple and convenient to operate, does not need a large-scale analytical instrument or complex sample pretreatment, has the advantages of good sensitivity, stability and visual discrimination, can quickly realize on-site screening and accurate quantification of perchlorate in water and food samples, and is high in practicability and wide in popularization prospect.

This application relates to a method and apparatus for open-loop estimation of carrier Doppler frequency in low-Earth orbit (LEO) satellite navigation signals. The method includes: symbol stripping of the satellite navigation signal to obtain a single-tone signal; generating local signals at redshift and blueshift frequencies based on the single-tone signal and initial estimates of the carrier Doppler frequency of the satellite navigation signal; performing digital down-conversion and coherent integration accumulation on the single-tone signal in the redshift and blueshift branches respectively, to obtain a redshift correlator and a blueshift correlator; constructing a normalized carrier discriminator based on the redshift and blueshift correlators; and updating the initial estimate of the carrier Doppler frequency of the satellite navigation signal using the normalized carrier discriminator to obtain the open-loop estimate of the carrier Doppler frequency of the satellite navigation signal. This method can reduce the computational complexity caused by DFT or FFT operations.

The embodiment of the application provides a kind of spectral red shift measurement method, device, equipment and medium, it can be applied to astronomical information technology and high-performance computing field, the method comprises: receiving N observation spectral data to be measured;Determine the processing mode of observation spectral data;In response to the first processing mode of processing mode, the observation spectral data is processed by first computing path, the first numerical calculation library is based on first computing path, and the red shift measurement calculation is executed by matching observation spectral data with a group of template spectral data to obtain calculation result, and the calculation result of first numerical calculation library is consistent with the calculation result of a reference algorithm in predetermined accuracy range;In response to the second processing mode of processing mode, the observation spectral data is processed by second computing path, and the red shift measurement calculation is reconstructed into tensor parallel model and is executed on parallel computing hardware based on second numerical calculation library, and second numerical calculation library supports tensor operation.

This application discloses a low-power four-primary-color LED display method and apparatus based on spectral wavelength redshift. The method includes: acquiring the tristimulus values ​​of each pixel in a target image and calculating its color coordinates; determining the landing point result based on the color coordinates and the color gamut overlap topology; the color gamut overlap topology is constructed based on the color coordinates and dual color mixing modes, including non-overlapping regions and redundant overlapping regions; the dual color mixing modes include mode A composed of red, green, and blue, and mode B composed of red, green, and auxiliary primary colors; the auxiliary primary colors employ a spectral wavelength redshift strategy, with the dominant wavelength of the auxiliary primary color being greater than that of the blue primary color; selecting the corresponding color mixing mode based on the landing point result; when the color coordinates fall into the redundant overlapping region, using a differential evolution algorithm to solve for the optimal driving current combination; and driving the corresponding LED channel for display. This application achieves wide color gamut coverage and low-power operation of the LED display system while producing the same visual brightness.

The application relates to an unmanned aerial vehicle inspection method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: acquiring infrared thermal imaging data, discharge spectrum data and visible light imaging data of a target power device based on a carrying device of an unmanned aerial vehicle, determining the contour of a target area, locking the target power device based on the contour and a defocus detection assembly, and collecting high-resolution spectrum data; analyzing the high-resolution spectrum data, establishing a quantitative model between the energy level difference and the redshift wavelength offset, determining the correlation mapping relationship between the discharge defect type and the redshift spectrum, correcting the correlation mapping relationship, obtaining the final correlation mapping relationship, distributing a preset weight, fusing to obtain a fault image, carrying out noise reduction processing, and outputting the discharge defect detection result of the target power device and the processed fault image. The method can improve the accuracy of power equipment defect detection.

The invention discloses a galaxis red shift prediction method and system based on LSTM and multi-input attention fusion, and the method comprises the steps: inputting nine wave band spectrums of a galaxis into a sequence feature processing module, capturing the front-back dependency relationship of a spectrum sequence through a one-way long short-term memory network, obtaining a sequence feature vector, and carrying out the recognition of the sequence feature vector; applying an attention mechanism to the sequence feature vector, calculating attention weight of each sequence position, and obtaining optimized sequence feature representation; inputting the statistical features into a statistical feature processing module, and mapping the original statistical features to an implicit space consistent with the dimension of the sequence features through a full connection layer to obtain statistical feature representation; splicing the sequence feature representation and the statistical feature representation to obtain a fusion feature; inputting the fusion features into a multi-layer perceptron, introducing an MC Dropout mechanism to carry out uncertainty quantization, and finally outputting a red shift prediction value; compared with an existing red shift prediction model, the method has higher prediction precision and robustness.

The present disclosure provides a wide-area tomographic computational astronomical imaging system and device, a snapshot spectral imaging module for capturing full-view three-dimensional hyperspectral data of an observation field of view; a redshift solving module for processing the three-dimensional hyperspectral data through a hybrid algorithm based on the three-dimensional hyperspectral data to inversely derive a target redshift value, three-dimensional spatial coordinates and physical parameters of a target celestial body; a tomographic data visualization module for generating a three-dimensional tomographic atlas through pseudo-color labeling and three-dimensional modeling methods based on the target redshift value, three-dimensional spatial coordinates and physical parameters; and a control module for configuring the snapshot spectral imaging module based on observation target parameters. The present disclosure realizes high-precision cosmological tomography of a wide-area sky region, converts three-dimensional hyperspectral data into an intuitive and reliable three-dimensional spatial distribution model and physical parameter atlas, and provides reliable technical support for frontier research on large-scale cosmic structures, galaxy evolution and dark matter distribution.