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Proposer
Hani Ragab
Title
Exoplanet detection using machine learning
Goal
To find our next planet !
Description
Exoplanets are planets that orbit other stars. 3000+ exoplanets have been detected so far, and there are more to come! The most successful exoplanet detection technique so far (with 2000+ detected planets) is transit shape detection. This technique looks for drops in light intensity of a star when its planet comes between the star and earth observers. The challenge here is that there are 150K+ stars being observed and this is too many to be processed by humans. Machine learning can be applied to efficiently detect such drop in stars brightness without human intervention. This project builds on a previous MSc project done under my supervision in 2016/17.
Resources
Background
Url
Difficulty Level
Challenging
Ethical Approval
None
Number Of Students
2
Supervisor
Hani Ragab
Keywords
Degrees