Measurement of the differential Drell-Yan production cross-section and application of deep convolutional neural networks on event images in the context of pileup mitigation

Brickwedde, Bernard2020-09-102020-09-102020https://openscience.ub.uni-mainz.de/handle/20.500.12030/5126engCC-BY-NC-ND-4.0https://creativecommons.org/licenses/by-nc-nd/4.0/500 Naturwissenschaften500 Natural sciences and mathematics530 Physik530 PhysicsMeasurement of the differential Drell-Yan production cross-section and application of deep convolutional neural networks on event images in the context of pileup mitigationDissertationv, 199 Seiten