Higgs Physics
M. Kr\"amer, M. Muhlleitner

TL;DR
This paper reviews the interpretation of LHC Higgs data using effective Lagrangians and specific models, emphasizing the importance of higher-order corrections for accurate analysis.
Contribution
It provides a comprehensive, model-independent framework for analyzing Higgs data and discusses recent computational results within advanced theoretical models.
Findings
Effective Lagrangian approach aids model-independent analysis.
Higher-order corrections are crucial for precise Higgs parameter extraction.
Recent computational results enhance understanding of Higgs physics.
Abstract
We discuss the interpretation of the LHC Higgs data and the test of the Higgs mechanism. This is done in a more model-independent approach relying on an effective Lagrangian, as well as in specific models like composite Higgs models and supersymmetric extensions of the Standard Model. The proper interpretation of the data requires the inclusion of higher-order corrections both for the relevant Higgs parameters and the production and decay processes. We review recent results obtained within the Collaborative Research Centre / Transregio 9 "Computational Particle Physics".
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Taxonomy
TopicsComputational Physics and Python Applications
