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Monte Carlo simulations of star clusters — I. First Results
Author(s) -
Giersz Mirek
Publication year - 1998
Publication title -
monthly notices of the royal astronomical society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.058
H-Index - 383
eISSN - 1365-2966
pISSN - 0035-8711
DOI - 10.1046/j.1365-8711.1998.01734.x
Subject(s) - physics , monte carlo method , statistical physics , star cluster , stellar evolution , astrophysics , monte carlo molecular modeling , quantum monte carlo , dynamic monte carlo method , computational physics , stars , markov chain monte carlo , statistics , mathematics
A revision of Stodoíkiewicz's Monte Carlo code is used to simulate evolution of star clusters. The new method treats each superstar as a single star and follows the evolution and motion of all individual stellar objects. The first calculations for isolated, equal‐mass N ‐body systems with three‐body energy generation according to Spitzer's formulae show good agreement with direct N ‐body calculations for N  = 2000, 4096 and 10 000 particles. The density, velocity, mass distributions, energy generation, number of binaries, etc., follow the N ‐body results. Only the number of escapers is slightly too high compared with N ‐body results, and there is no level‐off anisotropy for advanced post‐collapse evolution of Monte Carlo models as is seen in N ‐body simulations for N  ≤ 2000. For simulations with N  > 10 000 gravothermal oscillations are clearly visible. The calculations of N   2000, 4096, 10 000, 32 000 and 100 000 models take about 2, 6, 20, 130 and 2500 h, respectively. The Monte Carlo code is at least 10 5 times faster than the N ‐body one for N  = 32 768 with special‐purpose hardware. Thus it becomes possible to run several different models to improve statistical quality of the data and run individual models with N as large as 100 000. The Monte Carlo scheme can be regarded as a method which lies in the middle between direct N ‐body and Fokker–Planck models and combines most advantages of both methods.

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