We built and demonstrated a new class of models for IFU analysis that use accelerated Gaussian processes to incorporate the spatial information. We applied the technique to Local Volume Mapper data of the Rosette nebula, and presented maps of emission lines well below the (per-spaxel) noise floor.

The exoALMA survey presented the unprecedented opportunity to map gas motions induced in the natal discs of newborn planets. However, such measurements are biased by an instrumental effect called beam smearing, leading to the underestimation of velocity perturbations and planet masses. We built an applied a probabilistic tool to correct for this.