The Particle and Astrophysical Science Computing Center on the AI era

CVC Seminar


The Particle and Astrophysical Science Computing Center (PIC) is a multifaceted data centre located adjacent to the Computer Vision Center (CVC). In this presentation, we outline various projects within PIC, including its role as a high-throughput facility supporting experiments such as the Euclid satellite, Large Hadron Collider (LHC) experiments, magic telescopes, and the Cherenkov Telescope Array (CTA). PIC contributes to diverse fields including neutrino physics, gravitational waves, microbial ecology, galaxy evolution, genomics, material science (ALBA), microscopy (IFCO), and quantum computing. Our services encompass storage, computation, data transfers and analysis platforms, catering to a wide range of research groups with diverse needs. Notably, we focus on data analysis and artificial intelligence, areas to which we are deeply committed.

Short bio:

Martin Eriksen is a researcher at IFAE-PIC and group leader of the "Applied AI" research group. In 2009, Martin Eriksen graduated with a degree in theoretical physics from the Norwegian University of Science and Technology (NTNU). Following that, he pursued his PhD in observational cosmology at Universitat Autònoma de Barcelona (UAB). From 2013 to 2016, he worked as a postdoctoral researcher at Leiden Sterrewacht in the Netherlands. Afterwards, he returned to Barcelona, joining the Institut de Física d'Altes Energies (IFAE) and contributing to the Port d’Informació Científica (PIC) data centre.

His research focuses on observational cosmology, with a particular emphasis on understanding dark energy and the accelerated expansion of the universe. His work spans theoretical calculations, data analysis, and the application of machine learning and artificial intelligence (AI). Eriksen has made significant contributions to projects like the Physics of the Accelerated Universe Survey (PAUS) and the Euclid survey. Beyond astronomy, the “Applied AI” groups investigations extend to interdisciplinary collaborations, engaging in quantum computing and material science through initiatives like Quantum Spain and In-CAEM. Furthermore, he is involved in bioimage analysis from a joint project with the Institute of Photonic Science (ICFO) and Vall d’Hebron Research Center (VHIR).