Big Data and Planets

 

May 1, 2019 – July 31, 2019

 

Initiator:

Tsevi Mazeh, Tel Aviv University

 

 

Astronomy is in the midst of a transformation brought on by exponentially progressing technological advances in the information age. New detector capabilities and faster computation have created a new era in which the use of advanced data mining and inference methods could bring new answers to long-standing scientific questions. The proposed research group, which includes leading figures in data analysis of exo-planets will 

 

• prepare algorithms for analysis of data from the forthcoming TESS space mission, 

• apply Gaussian Processes and machine learning algorithms to model stellar variability in transit and radial-velocity studies of exo-planets, and 

• study exo-planetary system architectures by developing population models and confront them with the accumulating data, using new statistical tools. 

 

We expect the research group to provide a better understanding of the exo-planetary population via advanced statistical tools — a giant leap in one of the most exciting fields of present science. 

 

 

 

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