Improvement of efficiency in generating random U(1) variables with Boltzmann distribution in Monte Carlo calculations

Tetsuya Hattori; Hideo Nakajima

doi:10.1016/0920-5632(92)90356-W

Improvement of efficiency in generating random U(1) variables with Boltzmann distribution in Monte Carlo calculations

Tetsuya Hattori, Hideo Nakajima

Research output: Contribution to journal › Article › peer-review

10 Citations (Scopus)

Abstract

A simple algorithm for generating random U(1) variables with Boltzmann distribution is presented. The rejection method and a transformation of variables are combined to obtain high acceptance rate and high speed for all range of temperatures of coupling parameters. Results of computer runs are presented to illustrate the efficiency. A method to find such algorithms is also presented, which may be applicable to other distributions of interest in Monte Carlo simulations.

Original language	English
Pages (from-to)	635-637
Number of pages	3
Journal	Nuclear Physics B (Proceedings Supplements)
Volume	26
Issue number	C
DOIs	https://doi.org/10.1016/0920-5632(92)90356-W
Publication status	Published - 1992
Externally published	Yes

ASJC Scopus subject areas

Atomic and Molecular Physics, and Optics
Nuclear and High Energy Physics

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10.1016/0920-5632(92)90356-W

Cite this

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title = "Improvement of efficiency in generating random U(1) variables with Boltzmann distribution in Monte Carlo calculations",

abstract = "A simple algorithm for generating random U(1) variables with Boltzmann distribution is presented. The rejection method and a transformation of variables are combined to obtain high acceptance rate and high speed for all range of temperatures of coupling parameters. Results of computer runs are presented to illustrate the efficiency. A method to find such algorithms is also presented, which may be applicable to other distributions of interest in Monte Carlo simulations.",

author = "Tetsuya Hattori and Hideo Nakajima",

year = "1992",

doi = "10.1016/0920-5632(92)90356-W",

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journal = "Nuclear and Particle Physics Proceedings",

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AB - A simple algorithm for generating random U(1) variables with Boltzmann distribution is presented. The rejection method and a transformation of variables are combined to obtain high acceptance rate and high speed for all range of temperatures of coupling parameters. Results of computer runs are presented to illustrate the efficiency. A method to find such algorithms is also presented, which may be applicable to other distributions of interest in Monte Carlo simulations.

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JO - Nuclear and Particle Physics Proceedings

JF - Nuclear and Particle Physics Proceedings

IS - C

ER -

Improvement of efficiency in generating random U(1) variables with Boltzmann distribution in Monte Carlo calculations

Abstract

ASJC Scopus subject areas

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