@article{weinberger_arepo_2019,
	title = {The {Arepo} public code release},
	volume = {1909},
	url = {http://adsabs.harvard.edu/abs/2019arXiv190904667W},
	abstract = {We introduce the public version of the cosmological 
magnetohydrodynamical moving-mesh simulation code Arepo. This version contains a finite-volume magnetohydrodynamics algorithm on an
unstructured, dynamic Voronoi tessellation coupled to a
tree-particle-mesh algorithm for the Poisson equation either on a Newtonian or cosmologically expanding spacetime. Time-integration is performed adopting local timestep constraints for each cell
individually, solving the fluxes only across active interfaces, and calculating gravitational forces only between active particles, using an operator-splitting approach. This allows simulations with high dynamic range to be performed efficiently. Arepo is a massively
distributed-memory parallel code, using the Message Passing Interface (MPI) communication standard and employing a dynamical work-load and memory balancing scheme to allow optimal use of multi-node parallel computers. The employed parallelization algorithms of Arepo are
deterministic and produce binary-identical results when re-run on the same machine and with the same number of MPI ranks. A simple primordial cooling and star formation model is included as an example of
sub-resolution models commonly used in simulations of galaxy formation. Arepo also contains a suite of computationally inexpensive test
problems, ranging from idealized tests for automated code verification to scaled-down versions of cosmological galaxy formation simulations, and is extensively documented in order to assist adoption of the code by new scientific users.},
	urldate = {2019-09-12},
	journal = {arXiv e-prints},
	author = {Weinberger, Rainer and Springel, Volker and Pakmor, Rüdiger},
	month = sep,
	year = {2019},
	keywords = {Astrophysics - Astrophysics of Galaxies, Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics - Instrumentation and Methods for Astrophysics, Physics - Computational Physics},
	pages = {arXiv:1909.04667},
}

{"_id":"4EJhEZEMrgYE6Z2dG","bibbaseid":"weinberger-springel-pakmor-thearepopubliccoderelease-2019","author_short":["Weinberger, R.","Springel, V.","Pakmor, R."],"bibdata":{"bibtype":"article","type":"article","title":"The Arepo public code release","volume":"1909","url":"http://adsabs.harvard.edu/abs/2019arXiv190904667W","abstract":"We introduce the public version of the cosmological magnetohydrodynamical moving-mesh simulation code Arepo. This version contains a finite-volume magnetohydrodynamics algorithm on an unstructured, dynamic Voronoi tessellation coupled to a tree-particle-mesh algorithm for the Poisson equation either on a Newtonian or cosmologically expanding spacetime. Time-integration is performed adopting local timestep constraints for each cell individually, solving the fluxes only across active interfaces, and calculating gravitational forces only between active particles, using an operator-splitting approach. This allows simulations with high dynamic range to be performed efficiently. Arepo is a massively distributed-memory parallel code, using the Message Passing Interface (MPI) communication standard and employing a dynamical work-load and memory balancing scheme to allow optimal use of multi-node parallel computers. The employed parallelization algorithms of Arepo are deterministic and produce binary-identical results when re-run on the same machine and with the same number of MPI ranks. A simple primordial cooling and star formation model is included as an example of sub-resolution models commonly used in simulations of galaxy formation. Arepo also contains a suite of computationally inexpensive test problems, ranging from idealized tests for automated code verification to scaled-down versions of cosmological galaxy formation simulations, and is extensively documented in order to assist adoption of the code by new scientific users.","urldate":"2019-09-12","journal":"arXiv e-prints","author":[{"propositions":[],"lastnames":["Weinberger"],"firstnames":["Rainer"],"suffixes":[]},{"propositions":[],"lastnames":["Springel"],"firstnames":["Volker"],"suffixes":[]},{"propositions":[],"lastnames":["Pakmor"],"firstnames":["Rüdiger"],"suffixes":[]}],"month":"September","year":"2019","keywords":"Astrophysics - Astrophysics of Galaxies, Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics - Instrumentation and Methods for Astrophysics, Physics - Computational Physics","pages":"arXiv:1909.04667","bibtex":"@article{weinberger_arepo_2019,\n\ttitle = {The {Arepo} public code release},\n\tvolume = {1909},\n\turl = {http://adsabs.harvard.edu/abs/2019arXiv190904667W},\n\tabstract = {We introduce the public version of the cosmological \nmagnetohydrodynamical moving-mesh simulation code Arepo. This version contains a finite-volume magnetohydrodynamics algorithm on an\nunstructured, dynamic Voronoi tessellation coupled to a\ntree-particle-mesh algorithm for the Poisson equation either on a Newtonian or cosmologically expanding spacetime. Time-integration is performed adopting local timestep constraints for each cell\nindividually, solving the fluxes only across active interfaces, and calculating gravitational forces only between active particles, using an operator-splitting approach. This allows simulations with high dynamic range to be performed efficiently. Arepo is a massively\ndistributed-memory parallel code, using the Message Passing Interface (MPI) communication standard and employing a dynamical work-load and memory balancing scheme to allow optimal use of multi-node parallel computers. The employed parallelization algorithms of Arepo are\ndeterministic and produce binary-identical results when re-run on the same machine and with the same number of MPI ranks. A simple primordial cooling and star formation model is included as an example of\nsub-resolution models commonly used in simulations of galaxy formation. Arepo also contains a suite of computationally inexpensive test\nproblems, ranging from idealized tests for automated code verification to scaled-down versions of cosmological galaxy formation simulations, and is extensively documented in order to assist adoption of the code by new scientific users.},\n\turldate = {2019-09-12},\n\tjournal = {arXiv e-prints},\n\tauthor = {Weinberger, Rainer and Springel, Volker and Pakmor, Rüdiger},\n\tmonth = sep,\n\tyear = {2019},\n\tkeywords = {Astrophysics - Astrophysics of Galaxies, Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics - Instrumentation and Methods for Astrophysics, Physics - Computational Physics},\n\tpages = {arXiv:1909.04667},\n}\n\n","author_short":["Weinberger, R.","Springel, V.","Pakmor, R."],"key":"weinberger_arepo_2019","id":"weinberger_arepo_2019","bibbaseid":"weinberger-springel-pakmor-thearepopubliccoderelease-2019","role":"author","urls":{"Paper":"http://adsabs.harvard.edu/abs/2019arXiv190904667W"},"keyword":["Astrophysics - Astrophysics of Galaxies","Astrophysics - Cosmology and Nongalactic Astrophysics","Astrophysics - Instrumentation and Methods for Astrophysics","Physics - Computational Physics"],"metadata":{"authorlinks":{}}},"bibtype":"article","biburl":"https://bibbase.org/zotero/polyphant","dataSources":["7gvjSdWrEu7z5vjjj"],"keywords":["astrophysics - astrophysics of galaxies","astrophysics - cosmology and nongalactic astrophysics","astrophysics - instrumentation and methods for astrophysics","physics - computational physics"],"search_terms":["arepo","public","code","release","weinberger","springel","pakmor"],"title":"The Arepo public code release","year":2019}