TY  - JOUR
PB  - SciPost Foundation
DO  - 10.21468/SciPostPhysProc.8.035
TI  - Sivers extraction with Neural Network
PY  - 2022/07/11
UR  - https://scipost.org/SciPostPhysProc.8.035
JF  - SciPost Physics Proceedings
JA  - SciPost Phys. Proc.
VL  - 
IS  - 8
SP  - 035
A1  - Fernando, Ishara
AU  - Newton, Nicholas
AU  - Seay, Devin
AU  - Keller, Dustin
AB  - 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.
ER  -

@Article{10.21468/SciPostPhysProc.8.035,
	title={{Sivers extraction with Neural Network}},
	author={I. P. Fernando and N. Newton and D. Seay and D. Keller},
	journal={SciPost Phys. Proc.},
	pages={035},
	year={2022},
	publisher={SciPost},
	doi={10.21468/SciPostPhysProc.8.035},
	url={https://scipost.org/10.21468/SciPostPhysProc.8.035},
}