Best way to increase precision/smoothness of posterior distribution

[lazygun37]

This is really a question rather than an "issue": I have several UltraNest runs on fairly complex models, using the SliceSampler. The runs seem to have converged OK, but the corner plots still look a bit jagged/messy. For the publication this will go in, I'd like to improve this. Is the best way to do this to change (increase) min_ess when doing sampler.run()?