ATLAS

Algorithms@UCL

The UCL group is heavily involved in the underlying algorithms that reconstruct the physic objects created in the detector, in particular:

• Tracks: The reconstruction of charged particle trajectories (tracks) in jets.
• Jets: The reconstruction of very boosted (high momentum) streams of particles, or jets. When very boosted particles decay, their decay products will typically overlap creating a very high energy jet. The UCL group pioneered the study of the structure of such large jets, which is vital for studying highly boosted final states.
• b-Tagging: Many physics processes of interest contains b-quarks in their decays. These manifest themselves as jets in the detector. However, due to the relatively long-lifetime of the b-quark they will typicallly travel several millimetres before decaying, leaving a distinct signature that we can reconstruct using advanced algorithmic and machine learning techniques.

UCL is a leader in all these areas, which are vital to fully exploiting the data produced by the LHC in our quest to answer fundamental questions about the Universe. See the individual webpages linked above for further details on each of the topics.

Key Academics

Jon Butterworth
Mario Campanelli
Andreas Korn
Tim Scanlon