本文選題：LAMOST　切入點(diǎn)：光纖光譜　出處：《中國(guó)科學(xué)技術(shù)大學(xué)》2010年博士論文　論文類型：學(xué)位論文

【摘要】： LAMOST是中科院國(guó)家天文臺(tái)主導(dǎo)研制的具有世界領(lǐng)先水平的大型天文望遠(yuǎn)鏡,與其他同類望遠(yuǎn)鏡相比,它兼具大口徑和大視場(chǎng)兩個(gè)優(yōu)點(diǎn),同時(shí)它配備了更多數(shù)目的光纖和先進(jìn)的光譜儀,這些技術(shù)上的優(yōu)勢(shì)將使LAMOST的觀測(cè)效率和觀測(cè)深度遠(yuǎn)遠(yuǎn)超出其他同類望遠(yuǎn)鏡。 二維光纖光譜數(shù)據(jù)處理系統(tǒng)是LAMOST望遠(yuǎn)鏡的重要組成部分,它對(duì)望遠(yuǎn)鏡觀測(cè)的原始光譜進(jìn)行處理,獲取有科學(xué)價(jià)值的一維目標(biāo)天體光譜,供后續(xù)天文學(xué)者的研究。LAMOST觀測(cè)的光譜數(shù)據(jù)量巨大,并且系統(tǒng)的規(guī)模和復(fù)雜度大大超出同類的望遠(yuǎn)鏡,因此對(duì)二維數(shù)據(jù)處理系統(tǒng)提出了更高的要求。 本論文選取LAMOST二維數(shù)據(jù)處理系統(tǒng)作為研究課題,簡(jiǎn)要介紹了項(xiàng)目的背景和整體情況,重點(diǎn)分析了二維數(shù)據(jù)處理的各個(gè)流程,著重分析每個(gè)處理流程對(duì)后續(xù)處理的影響。在此基礎(chǔ)上,確定了光譜抽取和波長(zhǎng)定標(biāo)兩個(gè)處理流程作為本論文研究的重點(diǎn)內(nèi)容；同時(shí),結(jié)合作者本人參與LAMOST項(xiàng)目期間所作的具體工作,將實(shí)測(cè)數(shù)據(jù)的處理作為另一個(gè)研究的重點(diǎn)。本論文的主要研究工作和創(chuàng)新之處有以下幾點(diǎn)： 研究了基于雙高斯徑向基函數(shù)的光譜抽取算法。首先,介紹了已有的多目標(biāo)光纖光譜抽譜算法,并分析了這些方法應(yīng)用于LAMOST光譜抽取存在的不足；隨后,根據(jù)LAMOST光纖光譜的成像模型,提出了基于徑向基函數(shù)網(wǎng)絡(luò)的光譜抽取算法。為了驗(yàn)證該算法的可行性,先是選取簡(jiǎn)單的單高斯函數(shù)作為基函數(shù)進(jìn)行實(shí)驗(yàn)。為了更好的滿足LAMOST光譜抽取的要求,針對(duì)其光纖光譜輪廓本身的特點(diǎn),提出了雙高斯基函數(shù)模型,并研究了適當(dāng)?shù)牡平惴�。最�?利用LAMOST和SDSS的實(shí)測(cè)數(shù)據(jù),以及針對(duì)性的模擬數(shù)據(jù),對(duì)算法進(jìn)行了驗(yàn)證。實(shí)驗(yàn)結(jié)果表明,所研究的新算法,在抽譜信噪比、抽譜精度、對(duì)交叉污染的抑制以及對(duì)輪廓非對(duì)稱性修正等方面都可以滿足LAMOST光譜抽取的要求。 研究了無(wú)需人工干預(yù)和先驗(yàn)知識(shí)的自動(dòng)波長(zhǎng)定標(biāo)算法。首先,介紹了多目標(biāo)光纖光譜波長(zhǎng)定標(biāo)的任務(wù)要求和意義；并結(jié)合LAMOST光纖光譜本身的特點(diǎn),分析了現(xiàn)有方法用于LAMOST波長(zhǎng)定標(biāo)的不足之處；然后,根據(jù)LAMOST波長(zhǎng)定標(biāo)燈譜局部線性的特點(diǎn),設(shè)計(jì)了自動(dòng)的波長(zhǎng)定標(biāo)算法,詳細(xì)介紹了該算法的處理步驟。最后,利用LAMOST的實(shí)測(cè)數(shù)據(jù)和模擬數(shù)據(jù),對(duì)自動(dòng)波長(zhǎng)定標(biāo)算法進(jìn)行了驗(yàn)證。實(shí)驗(yàn)結(jié)果表明：自動(dòng)波長(zhǎng)定標(biāo)算法的精度滿足LAMOST二維數(shù)據(jù)處理的要求；算法的運(yùn)行時(shí)間遠(yuǎn)遠(yuǎn)小于人工干預(yù)和基于先驗(yàn)知識(shí)的波長(zhǎng)定標(biāo)方法；算法能很好地抑制定標(biāo)燈譜中噪聲的影響,具有良好的穩(wěn)健性。 利用實(shí)測(cè)數(shù)據(jù)對(duì)LAMOST二維光纖光譜數(shù)據(jù)處理軟件的性能進(jìn)行了檢驗(yàn),并針對(duì)實(shí)際處理中出現(xiàn)的問(wèn)題,對(duì)二維數(shù)據(jù)處理軟件進(jìn)行了必要的改進(jìn)和完善。實(shí)驗(yàn)選取了光譜儀調(diào)試期間、LAMOST小系統(tǒng)聯(lián)調(diào)期間和LAMOST試觀測(cè)期間這三個(gè)關(guān)鍵節(jié)點(diǎn)的實(shí)測(cè)數(shù)據(jù)。對(duì)光譜儀調(diào)試期間實(shí)測(cè)數(shù)據(jù)的處理,測(cè)試了其主要性能指標(biāo),同時(shí)根據(jù)數(shù)據(jù)處理結(jié)果為光譜儀調(diào)試和驗(yàn)收工作提供了積極的建議。對(duì)LAMOST小系統(tǒng)聯(lián)調(diào)期間實(shí)測(cè)數(shù)據(jù)的處理,檢驗(yàn)了二維數(shù)據(jù)處理的大部分流程,并針對(duì)小系統(tǒng)自身的特點(diǎn),對(duì)二維數(shù)據(jù)處理軟件進(jìn)行了必要的改進(jìn)和完善；同時(shí)也為各個(gè)子系統(tǒng)的聯(lián)調(diào)工作提供了有益的參考。對(duì)LAMOST試觀測(cè)期間實(shí)測(cè)數(shù)據(jù)的處理,檢驗(yàn)了二維數(shù)據(jù)處理軟件的所有流程,并根據(jù)數(shù)據(jù)處理中出現(xiàn)的問(wèn)題,對(duì)二維數(shù)據(jù)處理軟件進(jìn)行了全面的改進(jìn)和完善；同時(shí)也獲得了一批有科學(xué)價(jià)值的目標(biāo)天體的紅藍(lán)端全波段完整光譜,有利于天文學(xué)家通過(guò)LAMOST系統(tǒng)開(kāi)展天文課題的研究。
[Abstract]:LAMOST is a leading national astronomical observatory of Chinese Academy of Sciences has developed the world's leading large astronomical telescope, compared with other similar telescope, it has two large diameter and large field strengths, at the same time it is equipped with a greater number of fibers and advanced spectrometer, these technical advantages make LAMOST observation efficiency and observation depth far beyond other the same telescope.
Spectral data processing system is an important part of the LAMOST telescope, its original spectra of the telescope were processed to obtain one-dimensional object spectra with scientific value of the spectral data of.LAMOST measurements on the amount for subsequent astronomers is huge, and the system size and complexity are far beyond the similar telescope, therefore higher requirements for data processing system.
This paper selects the LAMOST data processing system as a research topic, briefly introduces the background and general situation of the project, analyzed the various processes of two-dimensional data processing, analyzing the influence of each process on the subsequent treatment. On this basis, the spectra extraction and wavelength calibration of two processes as the key content of this paper Study on the practical work done; at the same time, the author participated in the LAMOST project during the processing of measured data as another important research. The main research work and innovation are as follows:
Study on the double Gauss spectra extraction algorithm based on radial basis function. Firstly, introduces the existing multi object Fiber Spectroscopic extraction spectrum methods, and analyzes the shortcomings of these methods are applied to LAMOST spectra extraction there; then, according to the imaging model of LAMOST Fiber Spectroscopic, the spectra extraction algorithm based on RBF network in order to. Verify the feasibility of the algorithm, the first is to select single simple Gauss function as the basis function of experiment. In order to meet the requirements of LAMOST spectra extraction better, according to the characteristics of the spectral profile of the proposed double Gauss function model, and an appropriate iterative approximation algorithm. Finally, using the measured data of LAMOST and SDSS according to the simulation data, and the algorithm was validated. The experimental results show that the new algorithm, the spectral signal-to-noise ratio of pumping, pumping spectral accuracy of cross contamination The requirements of LAMOST spectral extraction can be met in the aspects of suppression and asymmetric profile correction.
Study on the non automatic wavelength without manual intervention and prior knowledge of the calibration algorithm. Firstly, introduces the tasks and meaning of multi object Fiber Spectroscopic wavelength calibration; combined with the characteristics of LAMOST optical fiber itself, analyzes the existing shortcomings of LAMOST method for wavelength calibration; then, according to the characteristics of LAMOST wavelength light spectrum local linear, design the automatic wavelength calibration algorithm, introduces the processing steps of the algorithm. Finally, using the measured LAMOST data and simulated data, the automatic wavelength calibration algorithm was verified. The experimental results show that the automatic wavelength calibration algorithm of LAMOST precision can meet the requirements of two-dimensional data processing; running time the algorithm is far less than the artificial intervention and prior knowledge of the wavelength calibration method based on influence; algorithm can effectively inhibit the noise in the light spectrum, and has good robustness.
The LAMOST spectra of the data processing software performance is tested by using the measured data, and according to the actual process problem of two-dimensional data processing software was improved and perfected. The experiment selected spectrometer during commissioning, LAMOST system debugging and LAMOST data during the three key node test observation during the debugging of the spectrometer. The measured data, the main performance index of the test, at the same time, according to the results of data processing for the commissioning and acceptance of the spectrometer provides positive suggestions. For LAMOST small system alignment during processing of the measured data, the test processes most of two-dimensional data, and according to the characteristics of small system itself. The two-dimensional data processing software was improved and perfected; at the same time also provides a useful reference for the adjustment of other subsystems of LAMOS. The measured data observed during T test, tested all the process of two-dimensional data processing software, and according to the problems in the data processing of the two-dimensional data processing software to conduct a comprehensive improvement; at the same time also received a number of valuable objects of the red and blue side band full spectrum, is conducive to astronomers through the LAMOST system to carry out astronomical research topic.

【學(xué)位授予單位】：中國(guó)科學(xué)技術(shù)大學(xué)
【學(xué)位級(jí)別】：博士
【學(xué)位授予年份】：2010
【分類號(hào)】：TH751

【參考文獻(xiàn)】

相關(guān)期刊論文 前2條

1 武旭華,朱永田,王磊;高分辨率階梯光柵光譜儀的光學(xué)設(shè)計(jì)[J];光學(xué)精密工程;2003年05期

2 胡紅專,邢曉正,俞巧云,李為民,鄧偉平;LAMOST高精度光纖定位單元關(guān)鍵技術(shù)研究[J];儀器儀表學(xué)報(bào);2002年S1期

相關(guān)博士學(xué)位論文 前1條

1 張壘;LAMOST二維光譜數(shù)據(jù)處理方法研究與軟件開(kāi)發(fā)[D];中國(guó)科學(xué)技術(shù)大學(xué);2007年

，

本文編號(hào)：1591723