John Alison

John Alison is an Associate Professor in the Department of Physics at Carnegie Mellon University. His research focuses on Nuclear and Particle Physics, specifically High Energy Physics Experiment. Alison's work involves studying the properties of the Higgs boson and its interactions, as well as detector design and development for the High-Granularity Calorimeter upgrade to the CMS detector. He is also involved in applying machine learning techniques to analyze data from the Large Hadron Collider. Alison's academic background includes a PhD from the University of Pennsylvania and a B.S. from the University of Pittsburgh, both in Physics. He has contributed to numerous publications and collaborations, including the CMS and ATLAS experiments.

John Alison is an Associate Professor of Physics at Carnegie Mellon University, specializing in Experimental Particle Physics. His research focuses on the ATLAS detector at the Large Hadron Collider (LHC), where he contributes to the analysis of proton-proton collisions to study fundamental particles and interactions. His work includes the observation of new particles, such as the Higgs boson, and the development of techniques for jet energy measurement, luminosity determination, and missing transverse momentum reconstruction. Alison's research also involves the performance evaluation of detector systems, such as muon and electron reconstruction, and the mitigation of pile-up effects in high-energy collisions.