Efficient tracking in the search for rare processes

by Rebecca Carney (Stockholm University (SE))

Thursday 13 Dec 2018, 12:30 → 13:30 US/Pacific

The ATLAS Detector, 100m below the surface of the Swiss-French border, measures the remnants of high-energy proton collisions, accelerated by the Large Hadron Collider (LHC) at CERN. Recently the LHC paused proton-proton operations, having collected an unparalleled 150 fb−1 of 13 TeV data. In this talk I will outline a search for physics beyond the Standard Model using that dataset, which targets long-lived particles identified by a characteristic decay displaced from the interaction point. Searching for rare processes requires sifting through a large amount of data, which stresses our computing infrastructure. As such, measures are taken to reduce unnecessary computations and supplement our existing resources with, for example, inherently parallel computing architectures. Early adoption of these new architectures is necessary to understand their potential integration into LHC computing. With that in mind, I will speak about a recent study to implement a tracking algorithm into IBM’s neuromorphic chip, TrueNorth.

rcarney_SLACInterview_December13th2018_public.pdf