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- W4308596155 abstract "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 $mathrm{topological},,mathrm{freezing}$. 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." @default.
- W4308596155 created "2022-11-12" @default.
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- W4308596155 date "2022-11-08" @default.
- W4308596155 modified "2023-10-15" @default.
- W4308596155 title "Towards glueball masses of large-$N$ $mathrm{SU}(N)$ Yang-Mills theories without topological freezing via parallel tempering on boundary conditions" @default.
- W4308596155 doi "https://doi.org/10.22323/1.430.0392" @default.
- W4308596155 hasPublicationYear "2022" @default.
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