Other
Scientific paper
May 2011
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2011aas...21813310w&link_type=abstract
American Astronomical Society, AAS Meeting #218, #133.10; Bulletin of the American Astronomical Society, Vol. 43, 2011
Other
Scientific paper
Star clusters are typically modelled by computer simulation using N-Body gravitational dynamics and stellar evolution "recipes", which are derived from detailed stellar models. These recipes range from simple curve fits to data tables, through interpolation between precisely solved stellar structure models, all the way to fully-fledged "live" stellar physics simulations. A set of initial conditions is created using one of a common set of theoretical models, such as the Plummer or King models. These models typically describe a star cluster using continuum properties, such as density. A set of stars is generated which closely follows this distribution using a random number generator. In this work we examine the impact of the choice of stellar evolution recipe on the lifetime and evolution of a cluster. Additionally, we investigate the noise introduced into the simulation by using a randomly generated discrete realization of a continuous initial condition model. These simulations are conducted using a new community-based simulation framework called AMUSE (the Astrophysical Multipurpose Software Environment). Switching between the most commonly used models of stellar evolution, with no other changes to the simulation, can change the cluster lifetime by as much as 25 percent.
McMillan Stephen L. W.
Portegies Zwart Simon
Vesperini Enrico
Whitehead Alfred J.
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