  Using Hyper Suprime Camera data (a precursor of what is to come with Rubin
Observatory) we assess trail masking mitigation strategies for satellite
contamination. We examine HSC data of the Hubble COSMOS field where satellite
trails have been identified by eye. Exercising the current LSST Science
Pipelines on this data, we study the efficacy of masking satellite trails which
appear in single visit exposures before they are assembled into a coadded
frame. We find that the current routines largely mask satellite trails in
single visits, but miss the extended low surface brightness features of the
satellite trails. For a sufficiently wide mask, these faint features appear at
a less significant level in the final coadd, as they are averaged down in a
stack of tens of exposures. We study this print-through vs mask width. In this
note, we describe some of the challenges we encountered in that effort,
prospects for more complete removal of the low surface brightness tails of the
masked trails, and possible science impacts.
