Difference between revisions of "Anjan Prasad Gantapara"

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|email=Anjan.Gantapara
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== Supervisor ==
 
== Supervisor ==
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== Research ==
 
== Research ==
A high precision multi-canonical Monte Carlo method is developed. This multi-canonical method is employed for the computation of exact order parameter distributions  for the two dimensional Ising Model. The extraction of universal behavior from finite size functions still remains of interest. Various boundary conditions have been taken into account.The  order parameter distributions for finite lattice sizes up to 128 at temperatures above, below, and at the critical point are computed. All the results are fully converged with respect to the number of Monte Carlo steps. For critical systems the approach to the Gaussian behavior is generally slow. For large system sizes the fat tails observed
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A high precision multi-canonical Monte Carlo method is developed. This multi-canonical method is employed for the computation of exact order parameter distributions  for the two dimensional Ising model. The extraction of universal behavior from finite size functions still remains of interest. Various boundary conditions have been taken into account.The  order parameter distributions for finite lattice sizes up to 128 at temperatures above, below, and at the critical point are computed. All the results are fully converged with respect to the number of Monte Carlo steps. For critical systems the approach to the Gaussian behavior is generally slow. For large system sizes the fat tails observed
 
in Ref [1] are found to appear also for temperatures approaching critical
 
in Ref [1] are found to appear also for temperatures approaching critical
 
point from below. The effect of the boundary conditions at criticality in
 
point from below. The effect of the boundary conditions at criticality in

Latest revision as of 16:31, 26 October 2012

As Anjan Prasad Gantapara is not a member of our working group anymore, the information on this page might be outdated.
DSC01212.JPG
Anjan Prasad Gantapara
PhD student
Fax:+49 711 685-63658
Email:Anjan.Gantapara _at_ icp.uni-stuttgart.de
Address:Anjan Prasad Gantapara
Institute for Computational Physics
Universität Stuttgart
Allmandring 3
70569 Stuttgart
Germany

Supervisor

Prof. Dr. Rudolf Hilfer

Research

A high precision multi-canonical Monte Carlo method is developed. This multi-canonical method is employed for the computation of exact order parameter distributions for the two dimensional Ising model. The extraction of universal behavior from finite size functions still remains of interest. Various boundary conditions have been taken into account.The order parameter distributions for finite lattice sizes up to 128 at temperatures above, below, and at the critical point are computed. All the results are fully converged with respect to the number of Monte Carlo steps. For critical systems the approach to the Gaussian behavior is generally slow. For large system sizes the fat tails observed in Ref [1] are found to appear also for temperatures approaching critical point from below. The effect of the boundary conditions at criticality in the far tail regime are studied with high precision. Currently we are marching towards lattice size 256. [1]Hilfer R, Biswal B, Mattutis H G, and Janke W Phys. Rev. E 68,046123 (2003).