First results from your clicks submitted to a journal


Paper submitted to the arxiv preprint server

Over the summer, we put together a paper on the HiggsHunters project and your performance, and it’s now been submitted to a journal and the arxiv preprint server – have a look!

One highlight is a discussion of your ability to identify Off-Centre Vertices compared to reconstruction algorithms, and in a substantial fraction of cases you do a better job! Out of nine different types of simulated “baby bosons”, you outperform the computers for three and come close on a further three. Below is an example of one of the cases where you do best compared to the reconstruction algorithms, with different coloured points representing different ways of clustering your clicks, for example varying N_clicks = the number of you who clicked on a given location. It’s clear you can identify vertices more efficiently (points further to the right) and with fewer false identifications (further down) than the algorithm – marked by a black star – so well done! We also talk about your abilities to spot interesting and unexpected features, for example the muon jet.


A figure from the paper, comparing vertex-finding abilities of citizen scientists (coloured points and lines) and reconstruction algorithm (black star) for a particular simulation type and image view.

This bodes well for the next steps, where with the help of researchers in schools we’ll further optimise the combination of your clicks and then apply the lessons learned to see what we can uncover in the actual data!



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