This project focuses on the task of lens finding in the currently available wide-field surveys (e.g., HSC-SSP). The expected number of strong lenses in the large surveys is significantly overpowered by the number of non-lensed objects, which leads to the high number of false positives in typical lens searches.
The goal of the project is to develop lens finding algorithms, apply them to the observational data, and assess the limitations of the algorithms (for example, analyse the properties of the identified lens population and examine the typical contaminants).
Total project length: 175/350 hours.
Intermediate/Advanced
Python, PyTorch, experience with machine learning, familiarity with astrophysics datasets.
Please use this link to access the test for this project.
Please DO NOT contact mentors directly by email. Questions should instead be directed to ml4-sci@cern.ch which is forwarded to mentors. To submit your proposal, CV, and test task solutions, please use this Google form.