Empirical fits to inclusive electron-carbon scattering data obtained by deep-learning methods

Employing the neural network framework, we obtain empirical fits to the electron-scattering cross sections for carbon over a broad kinematic region, extending from the quasielastic peak through resonance excitation to the onset of deep-inelastic scattering. We consider two different methods of obtai...

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Hauptverfasser:	Kowal, Beata E, Graczyk, Krzysztof M, Ankowski, Artur M, Banerjee, Rwik Dharmapal, Prasad, Hemant, Sobczyk, Jan T
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning Physics - High Energy Physics - Experiment Physics - High Energy Physics - Phenomenology Physics - Nuclear Experiment Physics - Nuclear Theory
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