Speaker
Olmo Francesconi
(Swansea University & LPMMC Grenoble)
Description
While importance sampling Monte Carlo algorithms have proved to be a crucial tool for numerical studies in modern physics, they fail when we take into consideration complex action systems. The density of states approach provides a way to simulate such systems and reduce the sign problem that afflicts them to a 1-dimensional oscillatory integral.
In this talk, I will review the density of states approach as well as the Linear Logarithmic Relaxation algorithm and present some recent development concerning the bias control of the latter. The results of a benchmark study on the relativistic Bose gas will be presented as well.
Authors
Olmo Francesconi
(Swansea University & LPMMC Grenoble)
Biagio Lucini
(Swansea University)
Antonio Rago
(University of Plymouth (GB))
Markus Holzmann
(LPMMC Grenoble)
