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Sivers extraction with Neural Network

I. P. Fernando, N. Newton, D. Seay, D. Keller

SciPost Phys. Proc. 8, 035 (2022) · published 11 July 2022

Proceedings event

28th Annual Workshop on Deep-Inelastic Scattering (DIS) and Related Subjects


Psuedo-data with simulated experimental errors can be generated to train an ensemble of Artificial Neural Networks (ANN) implemented on a regression to extract Transverse Momentum-dependent Distributions (TMDs). A preliminary analysis is presented on the reliability in extraction of the Sivers function imposed in the pseudo-data given the bounds on the experimental errors, data sparsity, and complexity of phase-space.

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