Skip to main content
Communities & Collections
Browse
English
Deutsch
Step-by-step instructions
Guidelines
Publications and Research Data
Rights notices and licenses
Submission of Dissertations
Log In
Log in with Uni-Account
Log in with local account
Home
Johannes Gutenberg-Universität Mainz
JGU-Hochschulschriften
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
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
Files
brickwedde_bernard-measurement_of-20200909153016448.pdf
(22.4 MB)
Date issued
2020
Authors
Brickwedde, Bernard
Editors
Journal Title
Journal ISSN
Volume Title
Publisher
License
CC-BY-NC-ND-4.0
https://creativecommons.org/licenses/by-nc-nd/4.0/
Item
Dissertation
Open Access
DOI
http://doi.org/10.25358/openscience-5122
Description
Keywords
Citation
URI
https://openscience.ub.uni-mainz.de/handle/20.500.12030/5126
Relationships
Collections
JGU-Hochschulschriften
Full item page