Sivers extration with Neural Network

13 Apr 2021, 13:16
18m
Virtual (Stony Brook, NY)

Virtual

Stony Brook, NY

Online
Contributed Talk Spin Physics Spin Physics

Speaker

Dr Ishara Fernando (University of Virginia)

Description

Pseudo-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 will be 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.

Primary authors

Dr Ishara Fernando (University of Virginia) Prof. Dustin Keller (University of Virginia) Mr Nicholas Newton (University of Virginia)

Presentation materials