Peter Schleper

Prof. Dr. Peter Schleper is a leading figure in particle physics at the University of Hamburg, affiliated with the Faculty of Mathematics, Informatics and Natural Sciences and the Department of Physics. His research focuses on probing the Standard Model at the highest energies through the Compact Muon Solenoid (CMS) Experiment at CERN’s Large Hadron Collider (LHC), where he investigates Higgs physics, top quark mass measurements, and Supersymmetry using advanced machine learning techniques.

• Education:
  • 1997: Habilitation in Physics, University of Heidelberg
  • 1992: Doctorate in Physics, RWTH Aachen
  • 1988: Physics Degree, RWTH Aachen

His recent work emphasizes Higgs self-coupling and flavor-violating decays, top quark mass precision via kinematic fitting, and SUSY signatures with long-lived particles. Publications reveal a strong trend toward leveraging deep learning for detector calibration, event reconstruction, and background suppression in tt̄ and HH → bb𝜏𝜏 analyses. The group maintains a robust record in silicon pixel detector development and trigger optimization for b-physics.

Students under his guidance have explored topics spanning neural network regression for top mass measurements, displaced track searches for dark matter, and jet substructure algorithms for Higgs reconstruction. Their theses reflect a blend of detector R&D, QCD studies, and novel analysis techniques at the LHC.