Effective LHC measurements with matrix elements and machine learning (Journal Article) | DOE PAGES

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Citation Details

This content will become publicly available on April 1, 2021

Title: Effective LHC measurements with matrix elements and machine learning

Authors:: Brehmer, J. ; Cranmer, K. ; Espejo, I. ; Kling, F. ; Louppe, G. ; Pavez, J.

Award ID's:: 1836650; 1841471; 1450310; 1806738

Publication Date:: 2020-04-01

NSF-PAR ID:: 10169389

Journal Name:: Journal of Physics: Conference Series

Volume:: 1525

Page Range or eLocation-ID:: 012022

ISSN:: 1742-6588

Sponsoring Org:: National Science Foundation

Free Publicly Accessible Full Text
This content will become publicly available on April 1, 2021
Publisher's Version of Record
https://doi.org/10.1088/1742-6596/1525/1/012022