2 papers
cs.DC2026
Bringing computation to the data: A MOEA-driven approach for optimising data processing in the context of the SKA and SRCNet
Manuel Parra-Royón, Ãlvaro RodrÃguez-Gallardo, Susana Sánchez-Expósito +6
The Square Kilometre Array (SKA) will generate unprecedented data volumes, making efficient data processing a critical challenge. Within this context, the SKA Regional Centres Netw…
astro-ph.GA2025
Classification of HI Galaxy Profiles Using Unsupervised Learning and Convolutional Neural Networks: A Comparative Analysis and Methodological Cases of Studies
Gabriel Jaimes-Illanes, Manuel Parra-Royon, Laura Darriba-Pol +5
Hydrogen, the most abundant element in the universe, is crucial for understanding galaxy formation and evolution. The 21 cm neutral atomic hydrogen - HI spectral line maps the gas…