共查询到20条相似文献,搜索用时 31 毫秒
1.
Jon Kristian Nilsen 《Computer Physics Communications》2007,177(10):799-814
We present a cross-language C++/Python program for simulations of quantum mechanical systems with the use of Quantum Monte Carlo (QMC) methods. We describe a system for which to apply QMC, the algorithms of variational Monte Carlo and diffusion Monte Carlo and we describe how to implement theses methods in pure C++ and C++/Python. Furthermore we check the efficiency of the implementations in serial and parallel cases to show that the overhead using Python can be negligible.
Program summary
Program title: MontePythonCatalogue identifier: ADZP_v1_0Program summary URL:http://cpc.cs.qub.ac.uk/summaries/ADZP_v1_0.htmlProgram obtainable from: CPC Program Library, Queen's University, Belfast, N. IrelandLicensing provisions: Standard CPC licence, http://cpc.cs.qub.ac.uk/licence/licence.htmlNo. of lines in distributed program, including test data, etc.: 49 519No. of bytes in distributed program, including test data, etc.: 114 484Distribution format: tar.gzProgramming language: C++, PythonComputer: PC, IBM RS6000/320, HP, ALPHAOperating system: LINUXHas the code been vectorised or parallelized?: Yes, parallelized with MPINumber of processors used: 1-96RAM: Depends on physical system to be simulatedClassification: 7.6; 16.1Nature of problem: Investigating ab initio quantum mechanical systems, specifically Bose-Einstein condensation in dilute gases of 87RbSolution method: Quantum Monte CarloRunning time: 225 min with 20 particles (with 4800 walkers moved in 1750 time steps) on 1 AMD OpteronTM Processor 2218 processor; Production run for, e.g., 200 particles takes around 24 hours on 32 such processors. 相似文献2.
We describe a numerical model of an internal pellet target to study the beam dynamics in storage rings, where the nuclear experiments with such type of target are planned. In this model the Monte Carlo algorithm is applied to evaluate the particle coordinates and momentum deviation depending on time and parameters of the target. One has to mention that due to statistical character of the pellet distribution in the target the analytical techniques are not applicable. This is also true for the particle distribution in the stored beam, which is influenced by various effects (such as a cooling process, intra-beam scattering, betatron oscillation, space charge effect). In this case only the Monte Carlo technique to model energy straggling in combination with the pellet distribution in the target should be considered.
Program summary
Program title: PETAG01Catalogue identifier: ADZV_v1_0Program summary URL:http://cpc.cs.qub.ac.uk/summaries/ADZV_v1_0.htmlProgram obtainable from: CPC Program Library, Queen's University, Belfast, N. IrelandLicensing provisions: Standard CPC licence, http://cpc.cs.qub.ac.uk/licence/licence.htmlNo. of lines in distributed program, including test data, etc.: 1068No. of bytes in distributed program, including test data, etc.: 11 314Distribution format: tar.gzProgramming language: Fortran 77, C/C++Computer: Platform independentOperating system: MS Windows 95/2000/XP, Linux (Unix)RAM: 128 MBClassification: 11.10Nature of problem: Particle beam dynamics with use of the pellet target.Solution method: Monte Carlo with analytical approximation.Running time: dozens of seconds 相似文献3.
N. Davidson G. Nanava T. Przedziński E. Richter-Wa̧s Z. Wa̧s 《Computer Physics Communications》2012,183(3):821-843
Because of their narrow width, τ decays can be well separated from their production process. Only spin degrees of freedom connect these two parts of the physics process of interest for high energy collision experiments. In the following, we present a Monte Carlo algorithm which is based on that property. The interface supplements events generated by other programs, with τ decays. Effects of spin, including transverse degrees of freedom, genuine weak corrections or of new physics may be taken into account at the time when a τ decay is generated and written into an event record. The physics content of the C++ interface is already now richer than its FORTRAN predecessor.Program summaryProgram title: TAUOLA++, versions 1.0.2, 1.0.3, 1.0.4, 1.0.5, 1.0.6Catalogue identifier: AELH_v1_0Program summary URL: http://cpc.cs.qub.ac.uk/summaries/AELH_v1_0.htmlProgram obtainable from: CPC Program Library, Queen?s University, Belfast, N. IrelandLicensing provisions: Standard CPC licence, http://cpc.cs.qub.ac.uk/licence/licence.htmlNo. of lines in distributed program, including test data, etc.: 649 068No. of bytes in distributed program, including test data, etc.: 6 544 479Distribution format: tar.gzProgramming language: C++, FORTRAN77Computer: PCs, workstationsOperating system: Linux, MacOSRAM: Classification: 11.2External routines: HepMC (http://lcgapp.cern.ch/project/simu/HepMC/), optional; PYTHIA8 (http://home.thep.lu.se/~torbjorn/Pythia.html)Subprograms used:
Cat Id Title Reference |
ADSM_v2_0 MC-TESTER Comput. Phys. Commun. 182 (2011) 779 |