PaperPanorama

arXiv:1701.09186·v1·High Energy Physics — Phenomenology

Towards a Neural Network Determination of Charged Pion Fragmentation Functions

Emanuele R. Nocera🇬🇧

PDFarXivINSPIRE

Abstract

I present a first determination of a set of collinear fragmentation functions of charged pions using the NNPDF methodology. The analysis is based on a wide set of single-inclusive electron-positron annihilation data, including recent measurements from -factory experiments, and is performed up to next-to-next-to-leading order accuracy in perturbative quantum chromodynamics. I discuss the results of the fits, highlighting their quality in the description of the data, their stability upon the inclusion of higher-order corrections, and their comparison to other sets of fragmentation functions.

Comments: 6 pages; 4 figures; 2 tables; contribution to the proceedings of the 22nd International Spin Symposium (SPIN2016)

Citation historyopen in Citation History ↗