For reasonable models decreasing adapt_delta below 0.8 should generally lower performance. The step size will be lower, and fewer gradients evaluated, but the trajectories will be less accurate and more poorly explore the relevant parts of the space.
Cauchys are almost always a bad idea, especially in priors. There may be poor identifiability between the additive components, which could be resolved by more informative priors.