About this document
Self-Organizing Maps for Parton Distribution Functions by narcosneel1222 is a document available to read on EtoBox.
This document proposes a novel approach to constructing Parton Distribution Function (PDF) parametrizations using Self-Organizing Maps (SOMs), a type of neural network algorithm. The method aims to reduce systematic biases by allowing user interaction during the fitting process, contrasting with traditional global fitting techniques. The authors discuss the potential of SOMs in enhancing the accuracy of PDF extraction from experimental data, particularly in high energy physics contexts.
- Author
- narcosneel1222
- Language
- EN