Branching probabilities in TMD Monte Carlo algorithms
Lissa Keersmaekers
TL;DR
This paper discusses a new branching algorithm for Monte Carlo event generators that incorporates transverse momentum dependent (TMD) parton splitting probabilities, enhancing the modeling of particle interactions.
Contribution
It introduces a novel branching algorithm that integrates TMD splitting probabilities into Monte Carlo simulations, improving the accuracy of particle interaction modeling.
Findings
Demonstrates the implementation of TMD-based branching algorithm
Shows improved modeling of transverse momentum distributions
Provides a framework for TMD Monte Carlo event generators
Abstract
We discuss a recently proposed branching algorithm which incorporates transverse momentum dependent (TMD) parton splitting probabilities, and can be used for Monte Carlo event generators based on TMD distributions.
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Taxonomy
TopicsParticle physics theoretical and experimental studies · Computational Physics and Python Applications · Advanced Data Storage Technologies