We present techniques for the identification of hadronically-decaying W bosons and top quarks using high-level features as inputs to boosted decision trees and deep neural networks in the ATLAS experiment at sqrt(s)=13 TeV. The performance of these machine learning based taggers is compared in Monte Carlo simulation with various different tagging algorithms. An improvement in background rejection with respect to different taggers is observed. In addition, the performance of the machine learning taggers is examined in full Run-II data set in top quark pair, dijet and photon+jet topologies
The performance of hadronically-decaying top-quark and $W$-boson taggers in $pp$ collisions at $\sqr...
By colliding protons and examining the particle emitted from the collisions, the Large Hadron Collid...
In this thesis, the data recorded by the ATLAS experiment at the LHC in 2015 and 2016, corresponding...
The application of boosted decision trees and deep neural networks to the identification of hadronic...
The performance of identification algorithms (taggers) for hadronically decaying top quarks and W bo...
Hadronic decays of vector bosons and top quarks are increasingly important to the ATLAS physics prog...
The performance of identification algorithms (“taggers”) for hadronically decaying top quarks and W ...
The performance of identification algorithms (“taggers”) for hadronically decaying top quarks and W ...
The performance of identification algorithms (“taggers”) for hadronically decaying top quarks and W ...
By colliding protons and examining particles emitted from the collisions, the Large Hadron Collider ...
The performance of taggers for hadronically decaying top quarks and $W$ bosons in $pp$ collisions at...
The performance of hadronically-decaying top-quark and $W$-boson taggers in $pp$ collisions at $\sqr...
By colliding protons and examining the particle emitted from the collisions, the Large Hadron Collid...
In this thesis, the data recorded by the ATLAS experiment at the LHC in 2015 and 2016, corresponding...
The application of boosted decision trees and deep neural networks to the identification of hadronic...
The performance of identification algorithms (taggers) for hadronically decaying top quarks and W bo...
Hadronic decays of vector bosons and top quarks are increasingly important to the ATLAS physics prog...
The performance of identification algorithms (“taggers”) for hadronically decaying top quarks and W ...
The performance of identification algorithms (“taggers”) for hadronically decaying top quarks and W ...
The performance of identification algorithms (“taggers”) for hadronically decaying top quarks and W ...
By colliding protons and examining particles emitted from the collisions, the Large Hadron Collider ...
The performance of taggers for hadronically decaying top quarks and $W$ bosons in $pp$ collisions at...
The performance of hadronically-decaying top-quark and $W$-boson taggers in $pp$ collisions at $\sqr...
By colliding protons and examining the particle emitted from the collisions, the Large Hadron Collid...
In this thesis, the data recorded by the ATLAS experiment at the LHC in 2015 and 2016, corresponding...