A deep neural network framework learns the structure kernel from Fermilab E288 and E605 Drell-Yan data and reconstructs x- and Q-dependent unpolarized TMDs via differentiable k-space quadrature.
Extraction of the sivers function from sidis, drell-yan, and w±/ z data at next- to-next-to-next-to leading order.Physical Re- view Letters, 126:112002, 3 2021
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Deep Neural Network extraction of Unpolarized Transverse Momentum Distributions
A deep neural network framework learns the structure kernel from Fermilab E288 and E605 Drell-Yan data and reconstructs x- and Q-dependent unpolarized TMDs via differentiable k-space quadrature.