Desarrollo de algoritmos para el análisis de señales de radiación gravitatoria
Reconstruction of gravitational collapse signals from the core of massive stars. Catalogues of signals by magneto-rotational, neutrino and acoustic mechanisms. Obtaining physical parameters. Comparison of Bayesian inference techniques and Split-Bregman algorithms.
Dynamic interpretation of dark matter and dark energy
Study of the relation between the self-gravitating N-particle issue in general relativity and the dark matter and dark energy phenomena on galactic and cosmological scales.
Vector-tensor theories of gravity, dark energy and cosmological models
Study of cosmological models based on vector-tensor theories of gravitation with acceptable PPN parameters. Use of numerical codes CMBFAST, CAMB and COSMOMC, adapted to the new cosmologies, in order to estimate cosmological parameters and their compatibility with observational data.
