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dc.contributor.authorEstados Unidos da América. Open Source Physics (OSP)-
dc.descriptionFísica estatística(ensenble canônico).-
dc.descriptionA simulation of a particle in equilibrium with a heat bath using the Metropolis algorithm. The Metropolis algorithm consists in sampling the states of a particular system by making trials changes in the parameters of the sytem that is accepted only if the change in the energy(dE) is lesser then zero or if r < exp(-dE/KT), where r is a uniform random between 0 and 1. Such a sampling might be used o calculate themal means. This algorithm is very usefull to the large majority of system of interest where one cannot calculate the thermal means analiticaly.-
dc.descriptionComponente Curricular::Educação Superior::Ciências Exatas-
dc.publisherOpen Source Physics(OSP).-
dc.rightsGNU General Public License (GPL) version 2-
dc.subjectAlgoritmo de Metrópolis-
dc.subjectAlgoritmo de Monte Carlo-
dc.subjectEducação Superior::Ciências Exatas::Física-
dc.titleBoltzmann distribution-
dc.description2To show that the Metropolis algorithm gives the correct probability distribution, it is the boltzman distribution. This is done by perfirming a numerical simulation of a particle in equilibrium in a heat bath, using the Metropolis algorithm and calculating the quantities of interest.-
Appears in Collections:MEC - Objetos Educacionais (BIOE) - OE

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