SUNDIAL (SUrvey Network for Deep Imaging Analysis & Learning) is an ambitious interdisciplinary network of nine research groups in The Netherlands, Germany, Finland, France, the United Kingdom, Spain, Belgium and Italy. The aim of the network is to develop novel algorithms to study the very large databases coming from current-day telescopes to

Black-holes and neutron stars are extremely important astrophysical objects, which become unique laboratories of extreme physics when found within X-ray binaries. Their study provides high-impact results, which are relevant for many astrophysics and fundamental physics areas. Our project target fundamental properties of both the accretion process

We propose to investigate fundamental questions concerning the formation and evolution of galaxies, from the smallest galactic scales to those of large spiral galaxies, by adopting the approach of galactic archaeology. By determining the ages, metallicities and kinematics of individual stars, in particular low-mass stars, whose life-times are

The goal is to investigate dark energy and the accelerated expansion of the Universe, as well as the clustering properties of dark matter from large-scale structure data. To this end, we want to apply novel analysis techniques, which combine data modeling, data simulation, and data analysis. The first step requires modeling and simulating the

Ramón y Cajal Contract to develop his research work in the specific research project "The Physics and Observational Properties of Accreting Black Holes and Neutron Stars"

Numerical simulations have established themselves as a third pillar of science, complementing theoretical modelling and laboratory experiments. Especially in areas of science such as cosmology and astrophysics, computer simulations of the formation and evolution of galaxies and larger structures in the Universe are the only experiment to verify