Minimisation strategies for the determination of parton density functions Article Swipe
Related Concepts
Parton
Minimisation (clinical trials)
CMA-ES
Computer science
Distribution function
Covariance matrix
Mathematical optimization
Evolution strategy
Mathematics
Algorithm
Particle physics
Physics
Statistics
Evolutionary computation
Quantum chromodynamics
Quantum mechanics
Stefano Carrazza
,
Nathan P. Hartland
·
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.1711.09991
· OA: W2950911951
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.1711.09991
· OA: W2950911951
We discuss the current minimisation strategies adopted by research projects involving the determination of parton distribution functions (PDFs) and fragmentation functions (FFs) through the training of neural networks. We present a short overview of a proton PDF determination obtained using the covariance matrix adaptation evolution strategy (CMA-ES) optimisation algorithm. We perform comparisons between the CMA-ES and the standard nodal genetic algorithm (NGA) adopted by the NNPDF collaboration.
Related Topics
Finding more related topics…