http://asgard-ari.github.io/tag/numerics/ Numerics Hugo Blox Builder (https://hugoblox.com)en-us http://asgard-ari.github.io/media/icon_hu_be15dbaf67d618b8.png http://asgard-ari.github.io/tag/numerics/ http://asgard-ari.github.io/project/winds-code-comparison/ Mon, 01 Jan 0001 00:00:00 +0000 http://asgard-ari.github.io/project/winds-code-comparison/ <p>Galactic winds are highly multiphase, turbulent, and numerically challenging. Their predicted properties can depend not only on the physical model, but also on the hydrodynamical method used to simulate them. Mesh-free finite-mass methods, Voronoi moving meshes, fixed grids, and adaptive mesh refinement each treat advection, mixing, shocks, and small-scale structure differently, which may affect how winds fragment, cool, and escape from galaxies.</p> <p>In this project you will compare idealized or existing galactic wind simulations performed with different numerical methods. The goal is to quantify how robust key wind properties are across codes, including mass loading, energy loading, temperature and density distributions, phase structure, turbulent mixing, and observable emission or absorption signatures.</p> http://asgard-ari.github.io/project/turbulence-amr/ Mon, 01 Jan 0001 00:00:00 +0000 http://asgard-ari.github.io/project/turbulence-amr/ <p>Turbulence plays a central role in many astrophysical systems, ranging from the interstellar medium and galaxy clusters to stellar atmospheres and accretion flows. Because fully resolving all relevant scales is computationally impossible, many simulations employ adaptive mesh refinement (AMR), which dynamically increases the resolution only where it is deemed necessary. While this approach greatly reduces computational cost, it may also influence the turbulent cascade and the resulting gas structure.</p> <p>In this project you will perform and analyze turbulence simulations using different refinement strategies. By comparing quantities such as velocity power spectra, density distributions, turbulent dissipation rates, and mixing efficiencies, you will investigate how adaptive meshes affect the statistical properties of turbulence and identify potential biases introduced by commonly used refinement criteria.</p>