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Neural networks to distinguish real and simulated galaxies
Can neural networks distinguish computer simulated galaxy images from observed galaxies? This is the question that has been addressed in this work. For years...
Formation & Evolution of Galaxies (FYEG)
Galaxies are formed progressively through a complex combination of gas accretion, star formation and merger processes with other galaxies. The aim of the Galaxy Formation & Evolution research line is to unveil the physical mechanisms responsible for the most significant transformations in these objects. The research team that makes up the research line is strongly involved in the development of forefront instrumentation (EMIR, FRIDA, GTCAO, HARMONI, OSIRIS, WEAVE) and has an important role in the scientific exploitation and development of international projects (SDSS, EUCLID, LSST) for the study of the formation and evolution of galaxies.
The line stands out for studies on the three-dimensional structure of the Milky Way (including its system of globular clusters and satellite galaxies), the characterisation of stellar populations and dynamics of nearby galaxies, the cycle of activity of supermassive black holes at the centres of galaxies, the conditions of the interstellar medium in the first galaxies, and the role of dark matter in their evolution. Besides, thanks to the recently created simulations group, we also aim to relate observations with theory by means of numerical models over cosmological volumes and thus obtain predictions for future observations.