4 papers
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…
Estimating Flux Densities of Diffuse Cosmological Radio Sources Exploiting Vision Transformers
Nicoletta Sanvitale, Claudio Gheller, Franco Vazza +3
We present TUNA, a Vision-Transformer based network adapted from segmentation to flux regression for faint, diffuse radio emission. Trained on LOFAR-like mock observations derived…
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…
Green computing toward SKA era with RICK
Giovanni Lacopo, Claudio Gheller, Emanuele De Rubeis +5
Square Kilometer Array is expected to generate hundreds of petabytes of data per year, two orders of magnitude more than current radio interferometers. Data processing at this scal…