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Astronomical spectrum automatic sorting and red shift measuring method based on similarity measure

A technology of similarity measurement and automatic classification, applied in spectrum generation, spectrum investigation, etc., can solve problems such as difficult identification of spectral lines, unsuitable for low signal-to-noise ratio, etc.

Inactive Publication Date: 2006-11-29
INST OF AUTOMATION CHINESE ACAD OF SCI
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AI Technical Summary

Problems solved by technology

When the spectrum is seriously polluted by noise, it is more difficult to identify the spectral lines
However, due to the limitation of the observable band, the traditional cross-correlation method can only measure the spectrum with low red shift, and it is also not suitable for the spectrum with low signal-to-noise ratio.

Method used

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  • Astronomical spectrum automatic sorting and red shift measuring method based on similarity measure
  • Astronomical spectrum automatic sorting and red shift measuring method based on similarity measure

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Embodiment Construction

[0007] as attached figure 2 As shown, the spectral classification and redshift measurement method based on the similarity measure includes three major steps: the first step S1 is to preprocess the spectrum; the second step S2 is to extract spectral lines; the third step S3 is to classify the spectra and redshift measurements. The specific description of each step is as follows:

[0008] Preprocessing of S1 spectra

[0009] First, median filtering is performed around a fixed wavelength where there may be skylines on the spectrum to remove skylines;

[0010] Then, the random noise was removed by wavelet soft thresholding; finally, the continuum was fitted by a median filter with a bandwidth of 30nm, and the denoised spectrum was divided by the continuum and the generated spectrum was subtracted by one.

[0011] S2 spectral line extraction

[0012] Perform a point-by-point search on the preprocessed spectrum and identify spectral lines with feature constraints. Use feature ...

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Abstract

The invention relates to the technical field of processing celestial body spectra, concretely a celestial body spectrum automatic classifying and red shift measuring method based on similarity measurement, dividing celestial body spectra into spectra of stars, galaxies and quasars and making red shift measurement on galaxies and quasars. And the method comprises three steps of: firstly preprocessing the spectrum; then extracting spectral lines; and finally determining red shift candidate by the extracted spectral lines and across verifying the red shift candidate by measuring similarity between object spectrum and template spectrum to determine red shift value and kind of celestial body. And the invention can implement both spectrum classification and red shift measurement. And the invention has classification correctness ratios of stars, galaxies and quasars up to 92%, 97.9% and 98.8%, respectively; and has red shift measurement correctness ratios of galaxies and quasars up to 97.8% and 94%. And the invention can be used to automatically analyze sea of celestial body spectra.

Description

technical field [0001] The invention relates to the technical field of celestial body spectrum processing, in particular to a method for automatic classification and redshift measurement of celestial body spectrum based on similarity measurement. Background technique [0002] Automatic classification of celestial spectra and redshift measurement are of great significance to large-scale redshift sky survey projects. At present, many spectral classifications in the world are based on the premise that the redshift value is known, and then the spectrum is shifted back to the stationary wavelength before classification. Redshift measurements are basically carried out in two ways: one is spectral line identification, and the other is cross-correlation. When the spectrum is seriously polluted by noise, it is more difficult to identify the spectral lines. However, the traditional cross-correlation method can only measure low-redshift spectra due to the limitation of the observable...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01J3/28G01J3/12
Inventor 段福庆吴福朝赵永恒
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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