School on Numerical Galaxy Formation

BiD4BESt’s network wide training event hosted by LMU launched online starting with Gabriella de Lucia from the Osservatorio Astronomico di Trieste giving the first lecture on Semi-Analytical Models.

During the course of this week (7 – 11 June), esteemed lecturers from Europe and South America will be sharing their knowledge with our 13 ESRs on a wide range of topics including N-body Simulations, Cosmic Rays and Magneto-Hydrodynamics.

The School on Numerical Galaxy Formation has:

Gabriella de Lucia (Osservatorio Astronomico di Trieste) reviewing the basics and goals of Semi-Analytical Models of galaxy formation and evolution, followed by a second lecture on the modelling of black hole accretion and feedback from AGN.

Alessia Gualandris (University of Surrey) describing the fundamental methods of N-body Simulations of astrophysical stellar systems both in the collisional and collision less regime. Her second lecture will cover Post-Newtonian two-body formalism.

Elisabete Maria de Gouveia Dal Pino (University of São Paulo) asking the question; why plasmas in astrophysics? Her two lectures will cover topics such as Magnetohydrodynamical (MHD) Equations; Magnetic Force; Ideal MHD & Magnetic Flux Freezing.

Ricarda Beckman (University of Cambridge) explaining how simulations are a powerful tool to study the coevolution of galaxies and their supermassive black holes, and the impact of Active Galactic Nuclei feedback.

Philipp Girichidis (University of Heidelberg) introducing Cosmic Rays, their numerical treatment in astrophysical simulations as well the application of cosmic rays physics in different environments.

Benjamin Moster (Ludwig-Maximilians Universitat) introducing the history, main aspects and common techniques of Empirical Models of galaxy formation, as well as discussing the latest developments and recent approaches applying machine learning methods..

An interactive session with Annalisa Pillepich (Max Planck Institute for Astronomy in Heidelberg) tackling standard analyses of cosmological simulations such as Illustris, IllustrisTNG and Eagle.

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