Nyx

Nyx: a massively parallel AMR code for computational cosmology. We present a new N-body and gas dynamics code, called Nyx, for large-scale cosmological simulations. Nyx follows the temporal evolution of a system of discrete dark matter particles gravitationally coupled to an inviscid ideal fluid in an expanding universe. The gas is advanced in an Eulerian framework with block-structured adaptive mesh refinement; a particle-mesh scheme using the same grid hierarchy is used to solve for self-gravity and advance the particles. Computational results demonstrating the validation of Nyx on standard cosmological test problems, and the scaling behavior of Nyx to 50,000 cores, are presented

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References in zbMATH (referenced in 6 articles , 1 standard article )

Showing results 1 to 6 of 6.
Sorted by year (citations)

  1. Jean Sexton, Zarija Lukic, Ann Almgren, Chris Daley, Brian Friesen, Andrew Myers, Weiqun Zhang: Nyx: A Massively Parallel AMR Code for Computational Cosmology (2021) not zbMATH
  2. Faber Edwards, Emily Kendall, Shaun Hotchkiss, Richard Easther: PyUltraLight: A Pseudo-Spectral Solver for Ultralight Dark Matter Dynamics (2018) arXiv
  3. Anshu Dubey, Ann Almgren, John Bell, Martin Berzins, Steve Brandt, Greg Bryan, Phillip Colella, Daniel Graves, Michael Lijewski, Frank Loffler, Brian O’Shea, Erik Schnetter, Brian Van Straalen, Klaus Weide: A Survey of High Level Frameworks in Block-Structured Adaptive Mesh Refinement Packages (2016) arXiv
  4. Peterka, Tom; Croubois, Hadrien; Li, Nan; Rangel, Esteban; Cappello, Franck: Self-adaptive density estimation of particle data (2016)
  5. Zhang, Weiqun; Almgren, Ann; Day, Marcus; Nguyen, Tan; Shalf, John; Unat, Didem: BoxLib with tiling: an adaptive mesh refinement software framework (2016) ioport
  6. Powell, Devon; Abel, Tom: An exact general remeshing scheme applied to physically conservative voxelization (2015)


Further publications can be found at: https://amrex-astro.github.io/Nyx/#Pubs