2011/04/05 by Arvind Rajaraman, Ze'ev Surujon, Rajaraman, Arvind +4 · 1 citation
Computer Science · Physics and Astronomy · #Computational Physics and Python Applications #Distributed and Parallel Computing Systems #FOS: Physical sciences #High Energy Physics - Phenomenology (hep-ph) #Particle physics theoretical and experimental studies #hep-ph
paper · pdf · doi:10.48550/arxiv.1104.0947
6 pages
arxiv created 2011/04/05 · openalex publication_date 2011/04/05 · arxiv updated 2011/04/07 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
We propose an efficient method to explore models which which produce like-sign tops at the LHC, using the total charge asymmetry of single lepton events instead of like-sign dileptons. As an example, the method is implemented on a Z' Model, which can explain the top pair forward-backward asymmetry at Tevatron. We show that a large region of the parameter space of this model can be reached using the existing data set at the LHC.