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Machine Learning approach to $\gamma/\pi^0$ separation in the LHCb calorimeter

Reconstruction and identification of particles in calorimeters of modern High Energy Physics experiments is a complicated task. Solutions are usually driven by a priori knowledge about expected properties of reconstructed objects. Such an approach is also used to distinguish single photons in the el...

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Detalles Bibliográficos
Autores principales:	Chekalina, Viktoria, Ratnikov, Fedor
Lenguaje:	eng
Publicado:	2018
Materias:	Computing and Computers Detectors and Experimental Techniques
Acceso en línea:	https://dx.doi.org/10.1088/1742-6596/1085/4/042036 http://cds.cern.ch/record/2664842

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