2013
DOI: 10.1051/0004-6361/201321252
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The Astrophysical Multipurpose Software Environment

Abstract: We present the open source Astrophysical Multi-purpose Software Environment (AMUSE), a component library for performing astrophysical simulations involving different physical domains and scales. It couples existing codes within a Python framework based on a communication layer using MPI. The interfaces are standardized for each domain and their implementation based on MPI guarantees that the whole framework is well-suited for distributed computation. It includes facilities for unit handling and data storage. C… Show more

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Cited by 209 publications
(225 citation statements)
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“…Here, we used the updated code SecularMultiple (Hamers & Portegies Zwart 2016) interfaced in the AMUSE framework (Portegies Zwart et al 2013;Pelupessy et al 2013). The SecularMultiple code applies to arbitrary hierarchies and numbers of bodies; evidently, its underlying algorithm reduces to the same equations for four bodies.…”
Section: Secular Dynamicsmentioning
confidence: 99%
“…Here, we used the updated code SecularMultiple (Hamers & Portegies Zwart 2016) interfaced in the AMUSE framework (Portegies Zwart et al 2013;Pelupessy et al 2013). The SecularMultiple code applies to arbitrary hierarchies and numbers of bodies; evidently, its underlying algorithm reduces to the same equations for four bodies.…”
Section: Secular Dynamicsmentioning
confidence: 99%
“…In order to couple the gravitational N-body code to the gas particles we use the AMUSE bridge. The bridge module provides a selfconsistent coupling between different components of a selfgravitating system using operator splitting (see Fujii et al 2007;Pelupessy & Portegies Zwart 2012;Pelupessy et al 2013). In short, with bridge the gas and stars are integrated in each other's mutual gravitational field.…”
Section: Gravitational Integrationmentioning
confidence: 99%
“…2. For details about how to use AMUSE we refer the reader to Portegies Zwart et al (2013) and Pelupessy et al (2013). More information can be also found at http://amusecode.org.…”
Section: The Amuse Frameworkmentioning
confidence: 99%