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Stellar parameter measurement method for large survey telescope based on self-observation spectral library

A technology of parameter measurement and spectral library, which is applied in the field of stellar parameter measurement of large-scale survey telescopes, can solve problems such as undesigned data flow-based operation mode, complex astronomical problems, etc., and achieve the effect of improving data processing efficiency and good scalability

Active Publication Date: 2022-07-19
NAT ASTRONOMICAL OBSERVATORIES CHINESE ACAD OF SCI
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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

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  • Stellar parameter measurement method for large survey telescope based on self-observation spectral library
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  • Stellar parameter measurement method for large survey telescope based on self-observation spectral library

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Embodiment Construction

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

[0031] (1) The problem of missing standard datasets when the theoretical model is incomplete

[0032] Due to the incomplete theoretical model, the parameter space that astronomers can obtain is very limited. For example, SDSS and LAMOST only publish FGK-type stellar parameters. With the development of the theoretical model of cold stars, LAMOST only started 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, and 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 theoretica...

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Abstract

The invention provides a stellar parameter measurement method for a large-scale sky survey telescope based on a self-observation spectral library, comprising the following steps: using a theoretical spectral library and other star catalogues to construct a measured spectral library by using a parameter label transfer method; The chi-square minimum linear interpolation method realizes the parameter measurement of the observed spectrum. The method for constructing a standard data set in the present invention has good expansibility, and the constructed spectral library has important value in the field of astronomy. The standard dataset will play an important role in the determination of physical parameters of the spectrum, the classification of the spectrum, the synthesis of the star population, and the teaching of the spectrum.

Description

technical field [0001] The invention relates to the technical field of astronomical optical telescopes, in particular to a method for measuring stellar parameters of a large-scale sky survey telescope based on a self-observation spectral library. Background technique [0002] Atmospheric physical parameters of stars, mainly including effective temperature (Teff), surface gravity (log g) and metal abundance ([Fe / H]), etc. 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 came into being. [0003] There are many algorithms for estimating the physical parameters of the stellar atmosphere through spectra, which are mainly divided into the following three categories: [0004] (1) Nearest neighbor matching: The nearest neighbor matching is performed between the spectrum to be measured and the theoreti...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N21/25G01N21/01
CPCG01N21/25G01N21/01
Inventor 杜冰罗阿理
Owner NAT ASTRONOMICAL OBSERVATORIES CHINESE ACAD OF SCI
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