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Statistical Error in Particle Simulations of Low Mach Number Flows.


DE200415006287

Publication Date 2000
Personal Author Hadjiconstantinou, N. G.; Garcia, A. L.
Page Count 14
Abstract We present predictions for the statistical error due to finite sampling in the presence of thermal fluctuations in molecular simulation algorithms. The expressions are derived using equilibrium statistical mechanics. The results show that the number of samples needed to adequately resolve the flow field scales as the inverse square of the Mach number. Agreement of the theory with direct Monte Carlo simulations shows that the use of equilibrium theory is justified.
Keywords
  • Computerized simulation
  • Statistical mechanics
  • Sampling
  • Algorithms
  • Fluctuations
  • Errors
Source Agency
  • Technical Information Center Oak Ridge Tennessee
Corporate Authors Lawrence Livermore National Lab., CA.; Department of Energy, Washington, DC.
Supplemental Notes Sponsored by Department of Energy, Washington, DC.
Document Type Technical Report
NTIS Issue Number 200413
Statistical Error in Particle Simulations of Low Mach Number Flows.
Statistical Error in Particle Simulations of Low Mach Number Flows.
DE200415006287

  • Computerized simulation
  • Statistical mechanics
  • Sampling
  • Algorithms
  • Fluctuations
  • Errors
  • Technical Information Center Oak Ridge Tennessee
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