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

Self-observation spectrum library-based fixed star parameter measurement method for large-scale patrol telescope

A technology of parameter measurement and spectral library, which is applied in the field of stellar parameter measurement of large-scale sky survey telescopes, can solve complex astronomical problems, and does not design a data flow-based operation mode, etc., to achieve the effect of improving data processing efficiency and good scalability

Active Publication Date: 2021-08-17
NAT ASTRONOMICAL OBSERVATORIES CHINESE ACAD OF SCI
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] (1) Disadvantages of nearest neighbor matching: the nearest neighbor matching algorithm itself is the most commonly used algorithm for stellar parameter measurement, and has good robustness
[0009] (2) Disadvantages of the nonlinear regression method: First, establishing an interpolation model requires sufficient parameter space sampling, which itself is an extremely complex astronomical problem
[0010] (3) Disadvantages of machine learning: machine learning algorithms still rely on a set of data sets with marked parameters, and their own problems are still the problems of standard data sets
The measurement of stellar spectral parameters in SDSS is still on the order of hundreds of thousands, so SSPP does not design an operation mode based on data flow

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
  • Self-observation spectrum library-based fixed star parameter measurement method for large-scale patrol telescope
  • Self-observation spectrum library-based fixed star parameter measurement method for large-scale patrol telescope
  • Self-observation spectrum library-based fixed star parameter measurement method for large-scale patrol telescope

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0030] Based on the existing problems of the prior art, the technical problems to be solved in the present invention are as follows:

[0031] (1) The lack of standard data sets in the case of incomplete theoretical models

[0032] Due to the incompleteness of the theoretical model, the parameter space that astronomers can obtain is very limited. For example, SDSS and LAMOST only released the parameters of stars of FGK type. With the development of the theoretical model of cold stars, LAMOST only began to release some parameters of cold stars this year. In the absence of standard data sets, it is very difficult to construct a set of standard data sets. It is necessary to combine the data resources of all astronomical telescopes in the world to determine the parameters of a star by analyzing the information of multiple bands of a star. mark. Parameter marker transfer opens a window to address missing standard datasets. In the parameter space where the difference between the ...

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 invention provides a self-observation spectrum library-based fixed star parameter measurement method for a large-scale patrol telescope. The fixed star parameter measurement method comprises the following steps: constructing an actual measurement spectrum library by using a theoretical spectrum library and other star catalogues and adopting a parameter mark transfer method; and realizing parameter measurement of the observation spectrum by using the actually measured spectrum library and adopting a chi-square minimum linear interpolation method. The method for constructing the standard data set has good expansibility, and the constructed spectrum library has important value in the astronomical field. The standard data set plays an important role in the fields of spectrum physical parameter determination, spectrum classification, star synthesis, spectrum teaching and the like.

Description

technical field [0001] The invention relates to the technical field of astronomical optical telescopes, in particular to a method for measuring star parameters of a large-scale sky survey telescope based on a self-observation spectrum library. Background technique [0002] Atmospheric physical parameters of stars, mainly including parameters such as effective temperature (Teff), surface gravity (log g) and metal abundance ([Fe / H]), are used by astronomers to study the structure, kinematics, and chemical evolution of the Milky Way. basis of research. With the development of large-scale sky survey projects, such as the Sloan Telescope (SDSS) in the United States and the Guo Shoujing Telescope (LAMOST) in China, automated stellar parameter measurement software has emerged as the times require. [0003] There are many algorithms for estimating the physical parameters of stellar atmospheres through spectra, which are mainly divided into the following three categories: [0004] ...

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): G01N21/25G01N21/01
CPCG01N21/25G01N21/01
Inventor 杜冰罗阿理
Owner NAT ASTRONOMICAL OBSERVATORIES 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