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Machine Learning techniques to approximate Matrix Element Method calculations
The Matrix Element Method is a powerful tool for data analysis of High Energy Physics data, and could be especially useful for future analysis of the interesting ttH(b¯b) process. However it is slow and computationally expensive to use, limiting its applicability. This project aims to use machine le...
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| Lenguaje: | eng |
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2018
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| Acceso en línea: | http://cds.cern.ch/record/2639976 |