  Using data from the HiggsHunters.org project we investigate the ability of
non-expert citizen scientists to identify long-lived particles, and other
unusual features, in images of LHC collisions recorded by the ATLAS experiment.
More than 32,000 volunteers from 179 countries participated, classifying
1,200,000 features of interest on about 39,000 distinct images. We find that
the non-expert volunteers are capable of identifying the decays of long-lived
particles with an efficiency and fake-rate comparable to that of the ATLAS
algorithms. Volunteers also picked out events with unexpected features,
including what appeared to be an event containing a jet of muons.
