In particle physics experiments, pileup occurs when two particles hit the same detector (say a calorimeter) at roughly the same time, resulting in what looks like a single event with higher energy than either one. Naturally, this can be a pain when analyzing data, and I've heard bits and pieces about methods for subtracting off the pileup events in the final analysis. Presumably this entails identifying events that seem to have a two-peak structure and either dropping the event from the analysis (eek, systematic error) or finding a way to separate them into the two events they are. All the analysis comes after the experiment, in which pileup can be reduced by segmentation of detectors (identify separate events because they are recorded on different parts of the detector) and faster data-taking (making it easier to identify that double-peak structure).
But I can't seem to find any accessible information on pileup (the only article Google seems to turn up is a fairly advanced one from the LHC, which I can't quite follow) or its reduction, and would really appreciate a brief summary of pileup subtraction techniques or a pointer to the right place to look.