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About Computational Particle Physics For Event Generators and Data Analysis
1. The document discusses computational particle physics techniques for simulating particle collision events and analyzing experimental data. These techniques involve automatically calculating matrix elements for processes of interest. 2. Matrix element calculations are important for generating simulated events for both signal and background processes, and for the matrix element likelihood method used in data analysis. Higher-order calculations are challenging but allow simulation of processes with many final state particles. 3. The document reviews computational techniques developed to automate matrix element calculations, which are crucial for both simulation and analysis in experimental particle physics, especially at the Large Hadron Collider.
Detailed Information
Author: | ['pionneg'] |
---|---|
Publication Year: | 2021 |
Pages: | 19 |
Language: | English |
Format: | |
Price: | FREE |
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