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The Role of Machine Learning in the Next Decade of Cosmology
Michelle Ntampaka, Camille Avestruz, Steven Boada +27
In recent years, machine learning (ML) methods have remarkably improved how cosmologists can interpret data. The next decade will bring new opportunities for data-driven cosmologic…
Reducing noise in moving-grid codes with strongly-centroidal Lloyd mesh regularization
Philip Mocz, Mark Vogelsberger, Rudiger Pakmor +3
A method for improving the accuracy of hydrodynamical codes that use a moving Voronoi mesh is described. Our scheme is based on a new regularization scheme that constrains the mesh…
Following the flow: tracer particles in astrophysical fluid simulations
Shy Genel, Mark Vogelsberger, Dylan Nelson +3
We present two numerical schemes for passive tracer particles in the hydrodynamical moving-mesh code AREPO, and compare their performance for various problems, from simple setups t…