CLASSIFYING JET CASCADES WITH A MUON USING A NEURAL NETWORK
1992 ◽
Vol 03
(supp01)
◽
pp. 321-330
Keyword(s):
We constructed a feed-forward neural network to tag jets with a prompt muon from bottom quark decay. Using kinematic variables and the reconstructed jet charge as input variables, we studied the response of the network to backgrounds of other cascades having a muon in the final state. Finally, we analysed the behaviour of this classifier on a di-muon sample as part of a [Formula: see text] mixing analysis.
2014 ◽
Vol 31
(8)
◽
pp. 1838-1849
◽
Keyword(s):
2011 ◽
Vol 6
(4)
◽
pp. 13-26
Keyword(s):
2020 ◽
Vol 9
(1)
◽
pp. 206-210
Keyword(s):
2021 ◽
Vol 172
◽
pp. 121159
◽
Keyword(s):
Keyword(s):