From the 1 of 10 linked papers with an AI index.
14 citations · 15 across the 5 of their papers we have counts for
3 papers · 1 filter
Accelerating radio astronomy imaging with RICK: a step towards SKA-Mid and SKA-Low
Giovanni Lacopo, Emanuele De Rubeis, Claudio Gheller +2
The data volumes generated by modern radio interferometers, such as the SKA precursors, present significant computational challenges for imaging pipelines. Addressing the need for…
Mapping Diffuse Radio Sources Using TUNA: A Transformer-Based Deep Learning Approach
Nicoletta Sanvitale, Claudio Gheller, Franco Vazza +6
Vision Transformers are used via a customized TransUNet architecture, which is a hybrid model combining Transformers into a U-Net backbone, to achieve precise, automated, and fast…
Accelerating radio astronomy imaging with RICK
Emanuele De Rubeis, Giovanni Lacopo, Claudio Gheller +2
This paper presents an implementation of radio astronomy imaging algorithms on modern High Performance Computing (HPC) infrastructures, exploiting distributed memory parallelism an…