Speaker
Prof.
Chang-seong Moon
(Kyungpook Nat'l University)
Description
The search for dark matter with the CMS detector has been performed at CERN LHC. If dark matter particles are produced at the LHC, they would escape the detectors without being directly detected. This presence can be inferred by measuring an imbalance in the transverse energy after the proton-proton collision. Therefore, one of the methods employed at the CMS experiment to search for dark matter is by studying missing transverse energy (MET). We present an improvement of the MET resolution using transformer architecture for regression based on the self-attention mechanism.
