Introduction to algorithms for Monte Carlo simulations and their application to QCD

D. Toussaint

doi:10.1016/0010-4655(89)90054-4

Introduction to algorithms for Monte Carlo simulations and their application to QCD

D. Toussaint

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

13 Scopus citations

Abstract

This paper contains an introduction to Monte Carlo simulations for systems defined by their probability to be in a given configuration. Examples of such systems are lattice models in statistical mechanics and quantum field theories in Euclidean time. The emphasis is on the algorithms used in simulating quantum chromodynamics (QCD). The fermion problem for quantum field theories is described, and then the application of Monte Carlo simulation to QCD is briefly described.

Original language	English (US)
Pages (from-to)	69-92
Number of pages	24
Journal	Computer Physics Communications
Volume	56
Issue number	1
DOIs	https://doi.org/10.1016/0010-4655(89)90054-4
State	Published - Nov 1989
Externally published	Yes

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General Physics and Astronomy

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10.1016/0010-4655(89)90054-4

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title = "Introduction to algorithms for Monte Carlo simulations and their application to QCD",

abstract = "This paper contains an introduction to Monte Carlo simulations for systems defined by their probability to be in a given configuration. Examples of such systems are lattice models in statistical mechanics and quantum field theories in Euclidean time. The emphasis is on the algorithms used in simulating quantum chromodynamics (QCD). The fermion problem for quantum field theories is described, and then the application of Monte Carlo simulation to QCD is briefly described.",

author = "D. Toussaint",

note = "Funding Information: I would like to thank the sponsors and organizers of this conference for the invitation to lecture and for their hospitality in Buenos Aires. I would like to thank Roberta Toussaint and Dan Murphy for reading the manuscript. This work was supported by Department of Energy grant DE-FG02-85ER40213. D.T. is an Alfred P. Sloan Foundation Fellow.",

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PY - 1989/11

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N2 - This paper contains an introduction to Monte Carlo simulations for systems defined by their probability to be in a given configuration. Examples of such systems are lattice models in statistical mechanics and quantum field theories in Euclidean time. The emphasis is on the algorithms used in simulating quantum chromodynamics (QCD). The fermion problem for quantum field theories is described, and then the application of Monte Carlo simulation to QCD is briefly described.

AB - This paper contains an introduction to Monte Carlo simulations for systems defined by their probability to be in a given configuration. Examples of such systems are lattice models in statistical mechanics and quantum field theories in Euclidean time. The emphasis is on the algorithms used in simulating quantum chromodynamics (QCD). The fermion problem for quantum field theories is described, and then the application of Monte Carlo simulation to QCD is briefly described.

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Introduction to algorithms for Monte Carlo simulations and their application to QCD

Abstract

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