Presenter(s): Adrian Gutierrez − Physics And Mathematics
Faculty Mentor(s): Stephanie Majewski
Poster 12
Research Area: Physics
ATLAS is one of four particle detector experiments constructed at the Large Hadron Collider (LHC) at CERN in Geneva, Switzerland. The experiment is designed to take advantage of the high-energy proton-proton collisions to search for rare, interesting events. Each collision produces different types of particles that will deposit energy in the detector; the interactions between these particles are described by the Standard Model of particle physics. At the High Luminosity LHC, planned for 2026, the ATLAS trigger system must select these interesting events amidst 200 background collisions per proton-proton bunch crossing within 10 microseconds. In order to detect interesting events among the large amount of data collected, a filtering method is needed. Such techniques can exploit the unique type of signature that each elementary particle has. A technique that has shown to give promising results is edge detection, in particular a Sobel filter. Applying a Sobel filter to the energy depositions in our events defines boundaries around so-called “jets”, or splashes of energies in our detector. The main goal of my study is the application of edge filtering techniques which can be implemented in our trigger system to look for areas of topological interest in our detector in hope that it will shed light on new particles or forces beyond the Standard Model.