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Mohamed, Ashraf Kasem Abdellatif, Search for dark matter with machine learning techniques in leptonic final states and missing transverse energy at the CMS experiment, Deutsches Elektronen-Synchrotron, DESY thesis, 2021, 005, Hochschulschrift, LHC, CMS-Detektor, Supersymmetrisches Teilchen, Dunkle Materie, Lepton, Deep learning |
| title |
Search for dark matter with machine learning techniques in leptonic final states and missing transverse energy at the CMS experiment |
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Search for dark matter with machine learning techniques in leptonic final states and missing transverse energy at the CMS experiment |
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Search for dark matter with machine learning techniques in leptonic final states and missing transverse energy at the CMS experiment by A. K. A. Mohamed |
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Search for dark matter with machine learning techniques in leptonic final states and missing transverse energy at the CMS experiment by A. K. A. Mohamed |
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Search for dark matter with machine learning techniques in leptonic final states and missing transverse energy at the CMS experiment by A. K. A. Mohamed |
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2021, 005. Search for dark matter with machine learning techniques in leptonic final states and missing transverse energy at the CMS experiment (April 2021) |
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Search for dark matter with machine learning techniques in leptonic final states and missing transverse energy at the CMS experiment |
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search for dark matter with machine learning techniques in leptonic final states and missing transverse energy at the cms experiment |
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Search for dark matter with machine learning techniques in leptonic final states and missing transverse energy at the CMS experiment |
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