CATA's scientific areas:
This area uses a combination of state-of-the-art cosmological simulations of galaxy formation and galaxy surveys and observations of the cosmic background radiation for a better understanding of dark matter, dark energy and galaxy formation.
A fascinating area of astrophysics is the theoretical and observational study of the formation of the first seeds of black holes in the early universe and their subsequent growth and interactions with their host galaxies and sources of high-energy emission.
Those agglomerations of gas and dust that have fascinated some of the most brilliant minds in the world are also part of CATA's study units. In this area our scientists conduct observational studies of formation and evolution of galaxies, focusing on the role of the activity and environment of Active Galactic Nuclei. In addition, large-scale mapping will be key, along with extensive access to world-class observatories.
This area will use state-of-the-art telescopes to investigate the stellar populations of our galaxy and those of its neighboring systems (~20 Mpc) in order to compare, link and discuss observations and cosmological models.
For many, the search for planets is one of the most visionary areas of astronomy. In this research topic, our astrophysicists will study star-forming systems in the Milky Way and nearby galaxies and their components. On small scales, they will analyze young stars, shedding light on the physics that regulates the formation of planetary systems.
CATA wanted to take a new leap in its ongoing quest to understand the universe. This area will be devoted to the hunt for exoplanets orbiting nearby stars, especially in the so-called habitable zone, where evidence suggests that the potential presence of liquid water may increase the chances of finding some evidence for life. Another objective of this line of research is to understand planet formation, their evolution and the conditions for life, both inside and outside the Solar System.
The use of state-of-the-art simulations and machine learning techniques is critical to complement the observational work done by the other areas. In this theoretical area of research, our scientists will explore the formation of stars and the evolution of supermassive black holes.