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arXiv · 1701.09186

Towards a Neural Network Determination of Charged Pion Fragmentation Functions

Emanuele R. Nocera
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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 $B$-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.

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Emanuele R. Nocera. 2017-01-31. Towards a Neural Network Determination of Charged Pion Fragmentation Functions. https://arxiv.org/abs/1701.09186

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