Title:
Data Crisis in Astronomy - Machine Learning Techniques to Galaxy Studies
Data Crisis in Astronomy - Machine Learning Techniques to Galaxy Studies
Time:
11/20 (Sat.) 5 pm PST, 6 pm MST, 7 pm CST, 8 pm EST
11/21 (Sun.) 2 am CET, 9 am Taiwan
Time zone conversion tool
11/20 (Sat.) 5 pm PST, 6 pm MST, 7 pm CST, 8 pm EST
11/21 (Sun.) 2 am CET, 9 am Taiwan
Time zone conversion tool
Keywords:
physics, astrophysics, machine learning, data analysis, galaxies
physics, astrophysics, machine learning, data analysis, galaxies
Abstract:
Nowadays, with current and future astronomical facilities and large-scale sky surveys, the size of astronomical data can exceed terabyte (TB) scale per observation night. Conventional analysis in Astrophysics becomes challenging, even impossible to apply to analyse numerous datasets generated in the coming era. Hence, machine learning techniques are introduced to astronomical studies. In this talk, I will introduce how machine learning techniques assist astrophysicists to our data crisis. In addition to the improvement in efficiency and accuracy of astronomical analysis, I will raise an attention to how a machine learning technique may help us to revolutionise current astronomical studies.
Nowadays, with current and future astronomical facilities and large-scale sky surveys, the size of astronomical data can exceed terabyte (TB) scale per observation night. Conventional analysis in Astrophysics becomes challenging, even impossible to apply to analyse numerous datasets generated in the coming era. Hence, machine learning techniques are introduced to astronomical studies. In this talk, I will introduce how machine learning techniques assist astrophysicists to our data crisis. In addition to the improvement in efficiency and accuracy of astronomical analysis, I will raise an attention to how a machine learning technique may help us to revolutionise current astronomical studies.
No comments:
Post a Comment