Reconstructing partonic kinematics at colliders with machine learning
In the context of high-energy physics, a reliable description of the parton-level kinematics plays a crucial role for understanding the internal structure of hadrons and improving the precision of the calculations. In proton-proton collisions, this represents a challenging task since extracting such...
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Format: | Article |
Language: | English |
Published: |
SciPost
2022-10-01
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Series: | SciPost Physics Core |
Online Access: | https://scipost.org/SciPostPhysCore.5.4.049 |