44 citations · 46 across the 5 of their papers we have counts for
5 papers
New Physics Searches at the LHC through Event-based Anomaly Detection and Development of ADFilter Web-tool
Wasikul Islam, Sergei Chekanov, Nicholas Luongo
This work presents advancements in model-agnostic searches for new physics at the Large Hadron Collider (LHC) through the application of event-based anomaly detection techniques ut…
United States Muon Collider Community White Paper for the European Strategy for Particle Physics Update
A. Abdelhamid, D. Acosta, P. Affleck +301
This document is being submitted to the 2024-2026 European Strategy for Particle Physics Update (ESPPU) process on behalf of the US Muon Collider community, with its preparation co…
Enhancing Sensitivity for Di-Higgs Boson Searches Using Anomaly Detection and Supervised Machine Learning Techniques
Sergei V. Chekanov, Wasikul Islam, Nicholas Luongo
This paper explores different strategies for enhancing sensitivity to new heavy resonances that decay into two or more Higgs bosons. This is achieved using two neural network archi…
ADFilter -- A Web Tool for New Physics Searches With Autoencoder-Based Anomaly Detection Using Deep Unsupervised Neural Networks
Sergei V. Chekanov, Wasikul Islam, Rui Zhang +1
A web-based tool called ADFilter was developed to process collision events using autoencoders based on a deep unsupervised neural network. The autoencoders are trained on a small f…
Search for displaced leptons in TeV collisions with the ATLAS detector
ATLAS Collaboration
A search for charged leptons with large impact parameters using 139 fb of TeV collision data from the ATLAS detector at the LHC is presented, addressing…