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Large-$N$ $SU(N)$ Yang-Mills theories with milder topological freezing
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abstract
We simulate $4d$ $SU(N)$ pure-gauge theories at large $N$ using a parallel tempering scheme that combines simulations with open and periodic boundary conditions, implementing the algorithm originally proposed by Martin Hasenbusch for $2d$ $CP^{N-1}$ models. That allows to dramatically suppress the topological freezing suffered from standard local algorithms, reducing the autocorrelation time of $Q^2$ up to two orders of magnitude. Using this algorithm in combination with simulations at non-zero imaginary $\theta$ we are able to refine state-of-the-art results for the large-$N$ behavior of the quartic coefficient of the $\theta$-dependence of the vacuum energy $b_2$, reaching an accuracy comparable with that of the large-$N$ limit of the topological susceptibility.
Forward citations
Cited by 2 Pith papers
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The large-$N$ Yang--Mills $\Lambda$-parameter from step scaling
First non-asymptotic-scaling determination of the large-N Yang-Mills Λ-parameter yields √(8t₀)Λ_MS(N=∞) = 0.639(36).
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Scale setting of $\mathrm{SU}(N)$ Yang-Mills theories via Twisted Gradient Flow
Using twisted boundary conditions and parallel tempering, the SU(5) gradient-flow scale sqrt(t0) is measured at three lattice spacings, with the topological freezing bias vanishing in the infinite-volume limit.
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