Radio Cosmology

The interdisciplinary LASTRO/SCITAS radioastronomy group bridges high-performance computing, data science, astrophysics, and fundamental research in the context of the Square Kilometer Array (SKA) project.

Several of our current and previous projects are listed below.

High Performance Computing

Our team is working on a wide range of HPC topics in radio astronomy, from energy benchmarking to quantum computing. We are also involved in the hardware/software co-design of the SKA science data processor and the HPC development of pulsar search pipelines for the MWA telescope.

Deep Waves

The SNSF project Deep Waves aims to accelerate Wave Dark Matter simulations with physics-informed deep learning and constrain the nature of DM with radio observations.

Radio Clusters

The SNSF project Radio Clusters will develop and incorporate novel machine learning techniques to analyse the environment of galaxy clusters, a key science area for the SKA.

AI & 21cm cosmology

Our team has worked on AI for foreground removal in 21cm cosmology for low-redshift HI intensity mapping and high-redshift epoch of reionization experiments. We have also worked on radiative transfer simulations with physics-informed neural networks.

SKA Regional Center Network

Our team is developing the Swiss SKA regional center in collaboration with the Institute for Data Science at FHNW. This platform will be deployed on the Alps infrastructure at CSCS.

RFI mitigation

Our current PASC-funded project will focus on developing HPC software for the removal of satellite-based radio frequency interference.

RADIOBLOCKS

We are developing modular and open-source analysis toolkit components for associated workflows to enable rapid, reproducible and scalable analysis of the large-volume and complex data products created by current and future radio astronomical research infrastructures. For more information see our press release.

ODISSEE

ODISSEE aims to develop innovative technologies and methodologies to process the unprecedented volume of scientific data produced by research infrastructures such as CERN’s HL-LHC and SKAO. For more information see our press release.

Next-Generation Radio Interferometry

The PASC project Next-Generation Radio Interferometry brings together LASTRO, SCITAS, the EPFL Imaging Center, and CSCS to develop novel HPC approaches to image synthesis, leveraging fPCA to decompose the sky image into distinct energy eigenimages. Check out the paper here.