M. Feickert

Publications by Year

Research Areas

Particle physics theoretical and experimental studies, High-Energy Particle Collisions Research, Particle Detector Development and Performance, Quantum Chromodynamics and Particle Interactions, Dark Matter and Cosmic Phenomena

Most-Cited Works

• → Machine Learning in High Energy Physics Community White Paper(2018)224 cited
• → pyhf: pure-Python implementation of HistFactory statistical models(2021)137 cited
• → A Living Review of Machine Learning for Particle Physics(2021)79 cited
• → Reinterpretation of LHC Results for New Physics: Status and recommendations after Run 2(2020)75 cited
• → Publishing statistical models: Getting the most out of particle physics experiments(2022)50 cited
• → The Scikit HEP Project overview and prospects(2020)41 cited
• → Software Training in HEP(2021)6 cited
• → Bayesian Methodologies with pyhf(2024)3 cited
• → scikit-hep/iminuit: v2.8.4(2021)3 cited