Martín Federico Mestre Citrinovitz

Descripción

My research focuses on Galactic Dynamics, Stellar Streams, and the Dark Matter Halo of the Milky Way, combining analytical and numerical approaches to investigate the structure, evolution, and dynamical properties of our Galaxy. My main research interests include: (i) Galactic Dynamics and Stellar Streams: Modeling stellar streams to study the Milky Way's dark matter halo and its system of satellite galaxies, within the framework of Galactic Archaeology; (ii) Dark Matter: Exploring fermionic dark matter models based on the Maximum Entropy Principle; (iii) Stellar Stream Detection and Characterization: Searching for new stellar streams, characterizing known structures, and analyzing the detectability of simulated stellar streams; (iv) Chaos in Galactic Dynamics: Applying chaos indicators to investigate the dynamical evolution of stellar streams in the Milky Way; (v) Computational Astrophysics and Numerical Methods: Developing and applying N-body simulations, orbital dynamics, and optimization techniques. Past experience in: (i) Hamiltonian Systems and Nonlinear Dynamics: Studying chaotic diffusion in nearly integrable Hamiltonian systems, resonant structures, and the transition between regular and chaotic motion; and (ii) Stochastic Processes: Applying stochastic systems theory to the study and characterization of chaotic dynamical systems. Programming languages: Julia, Python, Fortran, and C.