Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Automatic fixed-star and galaxy galaxy distinguishing method based on optical spectrum

A technology for automatic identification and galaxies, applied in complex mathematical operations, program control devices, etc.

Inactive Publication Date: 2004-09-08
INST OF AUTOMATION CHINESE ACAD OF SCI
View PDF0 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Most of the automatic identification technologies involving galaxy spectra in the world are researched on the premise that the redshift value is known, so it is not suitable for the situation where the redshift value is unknown

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Automatic fixed-star and galaxy galaxy distinguishing method based on optical spectrum
  • Automatic fixed-star and galaxy galaxy distinguishing method based on optical spectrum
  • Automatic fixed-star and galaxy galaxy distinguishing method based on optical spectrum

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0012] The invention consists of static spectrum templates of stars, normal galaxies and active galaxies, a computer and related software. The standard stellar template includes seven spectral types: the spectra of O, B, A, F, G, K, and M; the static template of normal galaxies should include E, S0, Sa, and Sb; the static template of active galaxies should include : Starburst galaxies SB1, SB2, SB3, SB4, SB5, SB6, Sc. The automatic identification technology of stars and galaxies (including normal galaxies and active galaxies) based on spectra includes two steps, as figure 1 shown. first step completed figure 1 The automatic identification of the first layer in the system, that is, the identification between inactive and active celestial bodies (such as figure 2 shown), inactive celestial bodies include stars and normal galaxies, and active celestial bodies include active galaxies; the second step is to complete the automatic identification of the left part of the second la...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The system for automatic distinction between fixed star and galaxy based on optical spectrum consists of static spectrum template of fixed stars, normal galaxies and active galaxies, computer and relevant software. The automatic distinction process includes the following steps: automatically distinguishing non-active celestial bodies including fixed stars and normal galaxies from active celestial bodies including active galaxies; and automatically distinguishing fixed star from normal galaxies. The automatic spectral celestial body distinguishing technology of the present invention has correct rate up to 96% for fixed stars and 94%for normal galaxies.

Description

technical field [0001] The invention relates to a computer-aided celestial body identification method. Background technique [0002] The automatic identification of stars and galaxies is of great significance for large-scale telescopic sky survey projects. At present, the automatic identification of stars and galaxies in the world is accomplished through PSF (Point Spread Function) detection of photographic data. The automatic identification technology of stars and galaxies based on spectrum can make large-scale telescope spectral survey projects do not need to carry out photographic observation of the target, so it is of great significance. In the research of automatic spectral identification technology, since the scientific targets of the sky survey plan are usually very dark unknown celestial bodies, the obtained spectral signal-to-noise ratio is low and the redshift parameters are unknown, so the spectral redshift is unknown and the signal-to-noise ratio is low. The au...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06F9/44G06F17/16
Inventor 覃冬梅胡占义赵永恒
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products