Speaker
Dr
Claudio Bonanno
(INFN Firenze)
Description
Standard local updating algorithms experience a critical slowing down close to the continuum limit, which is particularly severe for topological observables. In practice, the Markov chain tends to remain trapped in a fixed topological sector. This problem further worsens at large $N$, and is known as $~\mathit{topological}$ $~\mathit{freezing}$.
To mitigate it, we adopt the parallel tempering on boundary conditions proposed by M. Hasenbusch. This algorithm allows to obtain a reduction of the auto-correlation time of the topological charge up to several orders of magnitude.
With this strategy we are able to provide the first computation of low-lying glueball masses at large $N$ free of any systematics related to topological freezing.
Primary authors
Biagio Lucini
(Swansea University)
Dr
Claudio Bonanno
(INFN Firenze)
Davide Vadacchino
(University of Plymouth)
Prof.
Massimo D'Elia
(Pisa U. and INFN Pisa)
