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Markov chain Monte Carlo methods in ...

Joseph, Anosh.

Markov chain Monte Carlo methods in quantum field theoriesa modern primer /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Markov chain Monte Carlo methods in quantum field theoriesby Anosh Joseph.
Reminder of title:	a modern primer /
Author:	Joseph, Anosh.
Published:	Cham :Springer International Publishing :2020.
Description:	xiv, 126 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Monte Carlo method.
Online resource:	https://doi.org/10.1007/978-3-030-46044-0
ISBN:	9783030460440$q(electronic bk.)

Markov chain Monte Carlo methods in quantum field theoriesa modern primer /
Joseph, Anosh.

Markov chain Monte Carlo methods in quantum field theoriesa modern primer /[electronic resource] :by Anosh Joseph. - Cham :Springer International Publishing :2020. - xiv, 126 p. :ill., digital ;24 cm. - SpringerBriefs in physics,2191-5423. - SpringerBriefs in physics..

Monte Carlo Method for Integration -- Monte Carlo with Importance Sampling -- Markov Chains -- Markov Chain Monte Carlo -- MCMC and Feynman Path Integrals -- Reliability of Simulations -- Hybrid (Hamiltonian) Monte Carlo -- MCMC and Quantum Field Theories on a Lattice -- Machine Learning and Quantum Field Theories -- C++ Programs.

This primer is a comprehensive collection of analytical and numerical techniques that can be used to extract the non-perturbative physics of quantum field theories. The intriguing connection between Euclidean Quantum Field Theories (QFTs) and statistical mechanics can be used to apply Markov Chain Monte Carlo (MCMC) methods to investigate strongly coupled QFTs. The overwhelming amount of reliable results coming from the field of lattice quantum chromodynamics stands out as an excellent example of MCMC methods in QFTs in action. MCMC methods have revealed the non-perturbative phase structures, symmetry breaking, and bound states of particles in QFTs. The applications also resulted in new outcomes due to cross-fertilization with research areas such as AdS/CFT correspondence in string theory and condensed matter physics. The book is aimed at advanced undergraduate students and graduate students in physics and applied mathematics, and researchers in MCMC simulations and QFTs. At the end of this book the reader will be able to apply the techniques learned to produce more independent and novel research in the field.

ISBN: 9783030460440$q(electronic bk.)

Standard No.: 10.1007/978-3-030-46044-0doiSubjects--Topical Terms:

186286
Monte Carlo method.

LC Class. No.: QA298 / .J67 2020

Dewey Class. No.: 518.282

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245 1 0 $a Markov chain Monte Carlo methods in quantum field theories $h [electronic resource] : $b a modern primer / $c by Anosh Joseph.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a xiv, 126 p. : $b ill., digital ; $c 24 cm.
490 1 $a SpringerBriefs in physics, $x 2191-5423
505 0 $a Monte Carlo Method for Integration -- Monte Carlo with Importance Sampling -- Markov Chains -- Markov Chain Monte Carlo -- MCMC and Feynman Path Integrals -- Reliability of Simulations -- Hybrid (Hamiltonian) Monte Carlo -- MCMC and Quantum Field Theories on a Lattice -- Machine Learning and Quantum Field Theories -- C++ Programs.
520 $a This primer is a comprehensive collection of analytical and numerical techniques that can be used to extract the non-perturbative physics of quantum field theories. The intriguing connection between Euclidean Quantum Field Theories (QFTs) and statistical mechanics can be used to apply Markov Chain Monte Carlo (MCMC) methods to investigate strongly coupled QFTs. The overwhelming amount of reliable results coming from the field of lattice quantum chromodynamics stands out as an excellent example of MCMC methods in QFTs in action. MCMC methods have revealed the non-perturbative phase structures, symmetry breaking, and bound states of particles in QFTs. The applications also resulted in new outcomes due to cross-fertilization with research areas such as AdS/CFT correspondence in string theory and condensed matter physics. The book is aimed at advanced undergraduate students and graduate students in physics and applied mathematics, and researchers in MCMC simulations and QFTs. At the end of this book the reader will be able to apply the techniques learned to produce more independent and novel research in the field.
650 0 $a Monte Carlo method. $3 186286
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650 2 4 $a Elementary Particles, Quantum Field Theory. $3 274994
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