Towards glueball masses of large- Yang-Mills theories without topological freezing via parallel tempering on boundary conditions
Claudio Bonanno🇮🇹 · Massimo D'Elia🇮🇹 · Biagio Lucini🇬🇧 · Davide Vadacchino🇬🇧
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 , and is known as . 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 free of any systematics related to topological freezing.