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pro vyhledávání: '"Goul, Edward"'
Autor:
Goul, Edward Masson
In this thesis, we explore concepts related to interpolation between series of measures with a focus on trajectory inference. In many application scenarios, we seek to model continuous phenomena with sequences of discrete data. This task is particula
Externí odkaz:
https://hdl.handle.net/1721.1/139228
Autor:
Shimmin, Chase, Sadowski, Peter, Baldi, Pierre, Weik, Edison, Whiteson, Daniel, Goul, Edward, Søgaard, Andreas
Publikováno v:
Phys. Rev. D 96, 074034 (2017)
We describe a strategy for constructing a neural network jet substructure tagger which powerfully discriminates boosted decay signals while remaining largely uncorrelated with the jet mass. This reduces the impact of systematic uncertainties in backg
Externí odkaz:
http://arxiv.org/abs/1703.03507