Contributor
Pratham Shah

RFI Mitigation


Mentors
Claudia Comito, Hans
Organization
Forschungszentrum Jülich
Technologies
python, mpi, pytorch
Topics
data analytics, astrophysics, data-intensive science
This project explores the use of image analysis in a two-dimensional spectrum to detect RFI (Radio Frequency Interference) in large amounts of memory-distributed radioastronomical data. As a result, this project aims to supports and develops 1D and 2D memory-distributed convolution within the Heat domain decomposition (or data distribution) scheme.