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論文名稱 Title |
由三維切片式螢光成像決定態至態非彈性碰撞微分截面 Determination of state-to-state inelastic differential cross sections from three-dimensional sliced fluorescence images |
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系所名稱 Department |
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畢業學年期 Year, semester |
語文別 Language |
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學位類別 Degree |
頁數 Number of pages |
84 |
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研究生 Author |
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指導教授 Advisor |
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召集委員 Convenor |
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口試委員 Advisory Committee |
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口試日期 Date of Exam |
2011-07-27 |
繳交日期 Date of Submission |
2011-08-08 |
關鍵字 Keywords |
態至態非彈性碰撞、微分截面、螢光成像 differential cross section (DCS), fluorescence imaging, state-to-state inelastic collision |
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統計 Statistics |
本論文已被瀏覽 5697 次,被下載 320 次 The thesis/dissertation has been browsed 5697 times, has been downloaded 320 times. |
中文摘要 |
本論文報告一套自行發展的數值分析方法,可對三維切片式螢光成像方法所得到的實驗成像獲取動態資訊。這套方法建基在光啟動動態過程的螢光成像分析理論架構。確切來說,此套方法完成影像品質優化、雜訊降低和數值分析配適碼,以決定CN(A 2Π)和He態至態非彈性碰撞的微分截面。不論是在分子束或流動槽環境的光啟動碰撞實驗,這些指令碼在獲取實驗成像的態至態動態學資訊是不可或缺的。 |
Abstract |
A numerical analysis scheme has been developed to extract dynamic information from experimental images by the three-dimensional sliced fluorescence imaging method. The present scheme is based on a generalized framework in analyzing fluorescence images from the photo-initiated dynamic process. Specifically, image quality optimization, noise reduction and numerical fitting codes have been implemented in the present scheme to determine differential cross sections of the state-to-state inelastic collisions between CN(A 2Π) and He. These codes are indispensable in extracting state-to-state dynamic information from experimental images in any photo-initiated collision experiment, no matter it is executed in the beam or bulb environment. |
目次 Table of Contents |
Abstract ii Abstract (Chinese) iii Content iv List of figures vi List of tables x Chapter 1 Introduction 1 1-1 Backgrounds 1 1-2 Sliced fluorescence imaging 4 1-3 Three-dimensional sliced fluorescence imaging 6 Chapter 2 Experiment 10 Chapter 3 Image Smoothing 14 3-1 Noise reduction by a WinView/32 15 3-1-1 Background substraction 15 3-1-2 Reduction of background noises 18 3-2 Symmetrization 21 3-3 Noise reduction by the Microsoft Office Excel 24 3-3-1 Manual deletion of noisy pixels 24 3-3-2 Elimination of noisy pixels from the intensity 25 distributions along the x and y axes Chapter 4 DCS Determination 30 4-1 Evaluation of the one-dimensional G(r; R1, R2) 32 4-2 Determining the expansion coefficients of the DCS 38 4-3 Determination of the differential cross section 47 4-4 Fine-tuning the R1 and R2 magnitudes 59 4-5 Variation of DCS by selecting various origins 67 Chapter 5 Conclusions 70 References 72 |
參考文獻 References |
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