Speaker
Description
The Field-Transformation Hybrid Monte-Carlo (FTHMC) algorithm potentially mitigates critical slowing down by combining the HMC with an invertible field transformation, originally proposed by Lüscher and motivated as trivializing the theory. In our previous study, using a single Jacobian-computable smearing step resembling stout smearing in 2+1 domain-wall fermion simulations, we found a reduction of exponential autocorrelation times of Wilson-flowed infrared observables that grows with the smearing parameter. Here we extend this study to the choice of the transformation kernel itself: plaquette- and rectangle-based smearing steps and their two-step compositions, applied at fixed smearing parameter to quenched ensembles on 24³×40 lattices, together with HMC baselines and a scan of the trajectory length. Autocorrelation times of Wilson-flowed energy densities are again computed with the master-field technique, enabling a comparison from a moderate number of configurations at matched molecular-dynamics cost. We identify which kernel combinations decorrelate infrared observables most efficiently and discuss the dependence on flow time and trajectory length.