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The Design And Implementation Of LAMOST Low-quality Spectra Interactive Analysis Platform

Posted on:2017-04-17Degree:MasterType:Thesis
Country:ChinaCandidate:L P BiFull Text:PDF
GTID:2272330485479190Subject:Computer Science and Technology
Abstract/Summary:PDF Full Text Request
With the substantial increase in observation instrument and data collection ability, optical astronomy obtained remarkable development, and massive sky survey data were generated by the LAMOST large-scale survey project. However, the low-quality spectra still accounted for about half of total LAMOST observed data at present. These spectra exhibit obvious quality defects, such as strong noise, unobvious spectrum characteristic, low local SNR, abnormal continuum, abnormal connection of two bands, sky subtraction abnormality, etc. Treatment and study of these low quality spectra has important significance for improving the rate of scientific output, discovery of special and rare celestial bodies. Thus, the interactive analysis platform is designed for the LAMOST low-quality spectrum, the main research work includes:1. Setting up a spectra data interactive analysis platform to visualize spectra analysis. In view of the FITS file format of LAMOST data storage, conducting data visualization research, reading wavelength and flux information, drawing spectra, displaying the associated absorption lines and emission lines.2. Extracting the spectral feature with visualize methods to achieve better spectra classification. Calculating and displaying the Lick indices to find the characteristics of spectral absorption lines. Extracting the continuous spectra to research spectra trend. Searching for the most similar spectra from the template spectra with the form of template matching in order to achieve better classification.3. Discovering or verifying the special and rare stellar spectra through interactive method. For example, finding emission-line stars by the method of spectra normalization and characteristic spectral lines detection. Classifying the reasons of low-quality spectra to further improve the quality of spectra.
Keywords/Search Tags:LAMOST, low-quality spectra, template matching, spectra classification
PDF Full Text Request
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