The ATLAS experiment is one of four large experiments currently being conducted at the Large Hadron Collider (LHC) at CERN. The goal of the ATLAS experiment is to gain a better understanding of the basic building blocks of matter and their underlying interactions.

The particles and forces we know of today are very well described by the Standard Model. However, there are quite a few open questions the Standard Model cannot yet answer, like:

• What is Dark Matter?
• Why does our universe only comprise matter - what happened to antimatter?
• How does gravity fit into the picture of fundamental interactions?

Our ATLAS group is working on the implementation of novel track reconstruction algorithms and modern track finding methods with hardware accelerators (GPUs, FPGAs) for the Event Filter, part of the Trigger and Data Acquisition (TDAQ) system of the ATLAS experiment at the High-Luminosity Large Hadron Collider (HL-LHC). We are working on

• Track finding with Graph Neural Networks on FPGAs
• Novel track fitting algorithms and their acceleration on GPUs (and FPGAs)

In the past, we were also involved in

• Background estimation for searches for the decay Di-Higgs to 4b using Neural Networks
• Measurement of the inclusive triple-differential dijet cross section to disentangle quarks and gluons at the LHC
• Development of a new track trigger concept using three pixel detector layers, aka the Triplet Track Trigger.
• the Hardware Tracking for the Trigger (HTT) project for the ATLAS experiment at the High Luminosity Large Hadron Collider
• the Fast TracKer (FTK) upgrade of the ATLAS detector
• Boosted top quark reconstruction
• Searches for new Physics and Standard Model measurements involving top quarks

You are interested in joining our group to work on one of the largest particle physics experiments that has ever been conducted? Then get in touch!

The Large Hadron Collider at CERN

The ATLAS Detector

Sources: ATLAS Experiment © 2021 CERN