Are you smarter than an ATLAS algorithm?

As it turns out, non-expert citizen scientists can match or beat out ATLAS algorithms in identifying features in images of LHC collisions.

The ability of the general public to identify long-lived particles and other unusual features in images of LHC collisions recorded by the ATLAS experiment was studied using data from the Higgs Hunters project. The Higgs Hunters project was launched by NYU scientists and colleagues in 2014, and allows members of the general public to study LHC images to help search for previously unobserved particles. Writing computer algorithms to identify “weird looking things” in these images can be difficult, and human eyes, be they expert or non-expert, can help with the hunt. The Higgs Hunters project scientists are specifically searching for previously unobserved particles that could be created via decay of the Higgs. In some cases, the tracks left in the ATLAS experiment could be picked out better by human eyes than computer programs. Click to continue reading on ParticleBites…

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