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TAG Meeting- 光譜大數據與深度學習並用繪測銀河系

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發表於 2019-5-13 18:55:28 | 顯示全部樓層 |閱讀模式
本帖最後由 iheby 於 2019-5-13 19:25 編輯

使用人工神經網絡的深度學習在天文學越來越受到關注,因為它具有潛力應用在現有的大型巡天及天文觀測的大數據。講者將介紹人工神經網絡的基本,並介紹Gaia和APOGEE等大型巡天。他將談及其研究如何應用深度學習繪測蓋亞觀測範圍以外銀河系的邊緣及銀河中心,人工神經網絡的資訊有助我們了解星系形成歷史。

時間:2019.05.14(二) 19:00~20:15
地點:香港理工大學 QR611室
講者:梁瑋軒 Henry Leung(加拿大多倫多大學天文系;理論組年青組員)
語言:粵語

Mapping the Milky Way Galaxy with Deep Learning using Big Spectroscopic Data

Deep learning with artificial neural networks is increasingly gaining attention, because of its potential for data-driven astronomy characterized by large surveys and big data sets. The speaker will introduce the basic methodology of artificial neural network and introduce large scale big data surveys like Gaia and APOGEE. He will talk about his research on how deep learning helps us to map our Milky Way beyond Gaia to the edge of the galaxy and the galactic center. The information we get from our neural network models will help to constraint our galaxy formation history.

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