14-01-2021 дата публикации
Номер: US20210011886A1
Принадлежит:
The present disclosure provides a method and apparatus for processing astronomical survey data. The method comprises: a data distribution step: delivering a spectral data file to be processed to a distributed file system, dividing the spectral data file into a plurality of data blocks, and distributing the data blocks to computing nodes; a data computing step: performing a spectral classification of spectra to be measured in the data blocks, with a template matching method; the data computing step comprises: reading template spectra, and extracting template universal operators; reading the spectra to be measured; performing spectral matching, and computing Chi-square error values for flow rate values of the template spectra multiplied by the polynomial and flow rate values of the spectra to be measured; and finding corresponding minimum Chi-square error and corresponding redshift for each of the template spectra, so as to determine classifications of the spectra to be measured. 113-. (canceled)14. A method for processing astronomical survey data , comprising:a data distribution step: delivering a spectral data file to be processed to a distributed file system, dividing the spectral data file to be processed into a plurality of data blocks, and distributing the plurality of data blocks to a plurality of computing nodes;a data computing step: using a distributed computing framework to perform a spectral classification of spectra to be measured in the data blocks at each of the computing nodes, with a template matching method in which template spectra are superposed with a polynomial and then matched with the spectra to be measured, and storing a spectral classification result;the template matching method satisfies the following formula:{'sub': m', 'i=0', 'i', 'o, 'sup': n', 'i, 'claim-text': {'br': None, 'i': 'X×B=f', 'sub': 'o', ';'}, 'f×ΣβW=f, which is expressed with the following matrix{'sub': o', 'm', 'i=0', 'i', 'i', 'm', 'i, 'sup': n', 'i', 'i', 'i, 'Wherein ...
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