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研究生： 鄭文淇
Cheng, Wen-Chi
論文名稱： 以凌星系外行星巡天衛星資料尋找可能的系外月球
Searching Possible Exomoons from Data of Transiting Exoplanet Survey Satellite
指導教授： 江瑛貴
Jiang, Ing-Guey
口試委員: 葉麗琴
Yeh, Li-Chin
陳林文
Chen, Lin-Wen
學位類別： 碩士
Master
系所名稱： 理學院 - 天文研究所
Institute of Astronomy
論文出版年： 2024
畢業學年度： 112
語文別： 英文
論文頁數： 60
中文關鍵詞： 系外行星 、系外衛星 、凌星系外行星巡天衛星 、光度曲線
外文關鍵詞： Exoplanet, Exomoon, Transiting Exoplanet Survey Satellite, Light Curves
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    • 截至今日，已經有超過五千個系外行星被發現，然而卻沒有任何一個系外衛星（系外行星的衛星）被確認。為了找出可能的系外衛星候選，我們使用凌星系外行星巡天衛星的資料進行了調查。在這個研究裡，我們藉由軌道參數製造出星體的軌道，基於格林公式計算恆星亮度進而畫出光度曲線，用這些曲線和凌日系外行星巡天衛星的觀測資料進行擬合，執行馬可夫鍊蒙地卡羅取樣，最終選出七個含有系外衛星候選的系外行星系統。這些結果將有利於尋找可能的系外衛星以及未來的系外衛星相關研究。

    As of now, the number of discovered exoplanets has exceeded 5000, yet the existence of exomoons, which are satellites orbiting exoplanets, remains unconfirmed. To identify potential exomoon candidates, we conducted a survey on the observational data of the Transiting Exoplanet Survey Satellite (TESS). This research involved the generation of planetary and lunar orbits utilizing orbital elements, the computation of flux based on Green's theorem, fitting the modeling light curves to TESS data, performing Markov Chain Monte Carlo (MCMC) sampling, and ultimately selecting seven systems believed to harbor exomoon candidates. These findings are valuable for exomoon discoveries and related researches in the near future.

    Contents . . . ii List of Tables . . . iii List of Figures . . . v 1 Introduction . . . 1 1.1 The Review of Exomoon Research . . . 1 1.2 The Motivation . . . 3 2 Data and Method . . . 5 2.1 TESS Data . . . 5 2.2 The Photometric Noise Ratio (PNR) . . . 8 2.3 Modeling Methods . . . 9 2.3.1 Orbital Elements . . . 9 2.3.2 Flux Calculations . . . 15 2.3.3 The MCMC process . . . 17 3 The Tests . . . 18 3.1 The Box-Fitting Models . . . 18 3.1.1 The One-Box Model . . . 18 3.1.2 The Two-Box Model . . . 20 3.1.3 The Results of Box Models . . . 21 3.2 Comparisons with Published Works . . . 22 3.2.1 Pál (2012) . . . 22 3.2.2 Teachey & Kipping (2018) . . . 25 3.2.3 Kipping et al. (2022) . . . 26 4 Results . . . 28 4.1 The Flow Chart . . . 28 4.2 The Filtering Process . . . 29 4.3 The MCMC Sampling . . . 32 4.3.1 The Input Parameters Setup . . . 33 4.3.2 The Output . . . 36 4.4 The Selected Targets . . . 36 5 Conclusions . . . 49 6 Discussions & Future Works . . . 51

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