E. L. Busch
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View article: Semi-supervised permutation invariant particle-level anomaly detection
Semi-supervised permutation invariant particle-level anomaly detection Open
A bstract The development of analysis methods to distinguish potential beyond the Standard Model phenomena in a model-agnostic way can significantly enhance the discovery reach in collider experiments. However, the typical machine learning…
View article: Semi-supervised permutation invariant particle-level anomaly detection
Semi-supervised permutation invariant particle-level anomaly detection Open
The development of analysis methods to distinguish potential beyond the Standard Model phenomena in a model-agnostic way can significantly enhance the discovery reach in collider experiments. However, the typical machine learning (ML) algo…
View article: Boosted Decision Trees in the Level-1 Muon Endcap Trigger at CMS
Boosted Decision Trees in the Level-1 Muon Endcap Trigger at CMS Open
The first implementation of a Machine Learning Algorithm inside a Level-1 trigger system at the LHC is presented. The Endcap Muon Track Finder (EMTF) at CMS uses Boosted Decision Trees (BDTs) to infer the momentum of muons in the forward r…
View article: Boosted Decision Trees in the CMS Level-1 Endcap Muon Trigger
Boosted Decision Trees in the CMS Level-1 Endcap Muon Trigger Open
The first implementation of Boosted Decision Trees (BDTs) inside a Level-1 trigger system at the LHC is presented. The Endcap Muon Track Finder (EMTF) at CMS uses BDTs to infer the momentum of muons in the forward region of the detector, b…