View Proposal

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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. 000+ 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 previous MSc projects done under my supervision over the years.

Resources

Background

Url

Difficulty Level

Challenging

Ethical Approval

None

Number Of Students

2

Supervisor

Hani Ragab

Keywords

Degrees

Master of Science in Artificial Intelligence
Master of Science in Data Science
Postgraduate Diploma in Artificial Intelligence
Bachelor of Science in Statistical Data Science
BSc Data Sciences