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Monte Carlo simulation of classical Heisenberg model in three dimensions

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dc.date.accessioned 2017-05-29T08:56:52Z und
dc.date.accessioned 2017-10-24T12:04:23Z
dc.date.available 2017-05-29T08:56:52Z und
dc.date.available 2017-10-24T12:04:23Z
dc.date.issued 2017-05-29T08:56:52Z
dc.identifier.uri http://radr.hulib.helsinki.fi/handle/10138.1/6046 und
dc.identifier.uri http://hdl.handle.net/10138.1/6046
dc.title Monte Carlo simulation of classical Heisenberg model in three dimensions en
ethesis.discipline Theoretical Physics en
ethesis.discipline Teoreettinen fysiikka fi
ethesis.discipline Teoretisk fysik sv
ethesis.discipline.URI http://data.hulib.helsinki.fi/id/C29de80f-21cd-424a-b706-b564d642b058
ethesis.department.URI http://data.hulib.helsinki.fi/id/3acb09b1-e6a2-4faa-b677-1a1b03285b66
ethesis.department Institutionen för fysik sv
ethesis.department Department of Physics en
ethesis.department Fysiikan laitos fi
ethesis.faculty Matematisk-naturvetenskapliga fakulteten sv
ethesis.faculty Matemaattis-luonnontieteellinen tiedekunta fi
ethesis.faculty Faculty of Science en
ethesis.faculty.URI http://data.hulib.helsinki.fi/id/8d59209f-6614-4edd-9744-1ebdaf1d13ca
ethesis.university.URI http://data.hulib.helsinki.fi/id/50ae46d8-7ba9-4821-877c-c994c78b0d97
ethesis.university Helsingfors universitet sv
ethesis.university University of Helsinki en
ethesis.university Helsingin yliopisto fi
dct.creator Jantunen, Ville
dct.issued 2017
dct.language.ISO639-2 eng
dct.abstract We study the efficiency and theory behind various Markov chain Monte Carlo update methods (later MCMC) in the classical Heisenberg model in three dimensions. Classical Heisenberg model is a model in statistical physics that describes ferromagnetic phenomena. Classical Heisenberg model is a generalization of the Ising model where the spin is three dimensional unit vector instead of scalar -1 or 1. Both models show a second order phase transition which is the main reason we are interested in these models. The transition in our case describes the loss of magnetization of a ferromagnet as it is heated to its Curie temperature. Monte Carlo simulating the Classical Heisenberg model uses the same MCMC update methods as the Ising model. We introduce the theoretical background of Metropolis, Overrelaxation, and Wolff single cluster updates and study the dynamic critical exponents of Metropolis and Wolff updates. Results of this study are as expected: metropolis suffers from critical slowing down near the phase transition temperature and the autocorrelation time scales to L^5.08 , where L^3 is the size of the lattice. Wolff single cluster update avoids critical slowing down and scales very well with autocorrelation time scaling to L^3.28 . Even though Wolff update scales much better it has its downsides. Parallelization is a very important factor in modern scientific computing and Wolff update is very tricky to parallelize where as Metropolis parallelizes very well. Usually we can avoid this problem by running multiple instances of the simulation at the same time as varying simulation parameters such as the temperature. For large lattices the problems is that getting moderate results requires a lot of time. en
dct.language en
ethesis.isPublicationLicenseAccepted true
ethesis.language.URI http://data.hulib.helsinki.fi/id/languages/eng
ethesis.language English en
ethesis.language englanti fi
ethesis.language engelska sv
ethesis.thesistype pro gradu-avhandlingar sv
ethesis.thesistype pro gradu -tutkielmat fi
ethesis.thesistype master's thesis en
ethesis.thesistype.URI http://data.hulib.helsinki.fi/id/thesistypes/mastersthesis
dct.identifier.urn URN:NBN:fi-fe2017112251969
dc.type.dcmitype Text

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