Despite an impressive and extensive effort by the LHC collaborations, there is currently no convincing evidence for new particles produced in high-energy collisions. At the same time, there has been a growing interest in machine learning techniques to enhance potential signals using all of the available information.
Following the successful conclusion of the LHC Olympics 2020: Winter Games (at the ML4Jets Workshop at NYU in January 2020), we are announcing a one day mini workshop devoted to anomaly detection: LHC Olympics 2020: Summer Games. With this mini-workshop we hope to continue progress on the topic of model independent discovery of new physics at the LHC.
The key goal of this workshop is to discuss and unblind results for the LHC Olympics 2020 black-box datasets. Please submit an abstract if you would like to present results of your favourite anomaly detection tool. Beyond results on the black-box datasets, we will also discuss plans towards a community publication on anomaly detection.
For this informal workshop, there will be no registration fee. However, please register so we can plan appropriately.
This event is a satellite workshop of the BOOST conference.
The workshop will take place in the INF/AP Lecture Hall of the physics department of the University of Hamburg at Jungiusstraße 11, 20355 Hamburg. It is located in walking distance from the Hamburg Dammtor train station and conveniently be reached with public transport.
David Shih (email@example.com), and
Gregor Kasieczka (firstname.lastname@example.org)