| DC 欄位 |
值 |
語言 |
| DC.contributor | 天文研究所 | zh_TW |
| DC.creator | 繆皓宇 | zh_TW |
| DC.creator | Hao-Yu Miao | en_US |
| dc.date.accessioned | 2022-9-23T07:39:07Z | |
| dc.date.available | 2022-9-23T07:39:07Z | |
| dc.date.issued | 2022 | |
| dc.identifier.uri | http://ir.lib.ncu.edu.tw:444/thesis/view_etd.asp?URN=109229006 | |
| dc.contributor.department | 天文研究所 | zh_TW |
| DC.description | 國立中央大學 | zh_TW |
| DC.description | National Central University | en_US |
| dc.description.abstract | 為了約束天體物理範疇中的瞬變天體在爆發早期之性質，諸如爆發機制以及前驅系統的細節，及早觀測至關重要。我們近期運用鹿林一米望遠鏡 (Lulin One-meter Telescope, LOT) 作瞬變天體之跟近觀測，並參與了數個針對瞬變天體的巡天合作項目，比如年輕超新星實驗 (Young Supernova Experiment, YSE)，以及茲威基瞬變天體設施 (Zwicky Transient Facility, ZTF)。為此，我們建構了一套自動資料處理流水線，以確保在無人介入操作的情況下，能快速並精準地處理觀測資料，達成資料管理、影像校正、測光以及數據繪圖等功能。該流水線不只能應用於處理從鹿林一米望遠鏡所取得的觀測資料，亦能處理如取自我們未來位於墨西哥的兩米望遠鏡，或其他望遠鏡之觀測資料。 | zh_TW |
| dc.description.abstract | Observation of astrophysical transients requires a rapid response to constrain their properties at early times. The early-time observations are critical as they inform the details of the progenitor systems and explosion mechanisms. Recently, we are collaborating with several transient surveys, such as Young Supernova Experiment (YSE) and Zwicky Transient Facility (ZTF), by utilizing the Lulin One-meter Telescope (LOT) for transient follow-up. To ensure a fast and precise data reduction, we construct an automatic data processing pipeline to perform data processing without the need of human intervention. The processing include data management, image calibration, photometry, and data visualization. The pipeline will be applicable not only to the data taken from LOT, but also other telescopes such as our future 2-meter telescope in México. | en_US |
| DC.subject | 瞬變天體 | zh_TW |
| DC.subject | 跟進觀測 | zh_TW |
| DC.subject | 自動流水線 | zh_TW |
| DC.subject | Transients | en_US |
| DC.subject | Follow-up | en_US |
| DC.subject | automatic pipeline | en_US |
| DC.title | LSST時代的資料處理──自動化的瞬變天體數據處理流水線 | zh_TW |
| dc.language.iso | zh-TW | zh-TW |
| DC.title | Building a Data Processing Pipeline for Fast-turnaround Transient Follow-up in the Era of LSST | en_US |
| DC.type | 博碩士論文 | zh_TW |
| DC.type | thesis | en_US |
| DC.publisher | National Central University | en_US |