Add to ORKGThe scope of this project concentrates mainly on tagging the hadronic top quark signal versus W and QCD jets taken both as background. Jets are represented as 2d projections either in η−φ palne or lund plane. The performance obtained was compared with the two approaches using one of the Machine Learning algorithms called Convolutional Neural Network (CNN)
The performance of identification algorithms (“taggers”) for hadronically decaying top quarks and W ...
The performance of taggers for hadronically decaying top quarks and $W$ bosons in $pp$ collisions at...
The identification of boosted heavy particles such as top quarks or vector bosons is one of the key ...
Abstract Machine learning based on convolutional neural networks can be used to study jet images fro...
https://arxiv.org/abs/1701.08784 Machine learning based on convolutional neural networks can be use...
The identification of top quarks is motivated by their high mass and strong coupling to the Higgs me...
The study of boosted top quarks is very important for probing a wide variety of new physics models. ...
Machine learning techniques are used for treating jets as images to explore the performance of boost...
Abstract We apply computer vision with deep learning — in the form of a convolutional neural network...
The performance of identification algorithms (“taggers”) for hadronically decaying top quarks and W ...
Many searches for physics beyond the Standard Model at the Large Hadron Collider (LHC) rely on top t...
Analyses involving top quarks are characterised by the presence of several b-jets in the final state...
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 ...
We present techniques for the identification of hadronically-decaying W bosons and top quarks using ...
The performance of identification algorithms (“taggers”) for hadronically decaying top quarks and W ...
The performance of taggers for hadronically decaying top quarks and $W$ bosons in $pp$ collisions at...
The identification of boosted heavy particles such as top quarks or vector bosons is one of the key ...
Abstract Machine learning based on convolutional neural networks can be used to study jet images fro...
https://arxiv.org/abs/1701.08784 Machine learning based on convolutional neural networks can be use...
The identification of top quarks is motivated by their high mass and strong coupling to the Higgs me...
The study of boosted top quarks is very important for probing a wide variety of new physics models. ...
Machine learning techniques are used for treating jets as images to explore the performance of boost...
Abstract We apply computer vision with deep learning — in the form of a convolutional neural network...
The performance of identification algorithms (“taggers”) for hadronically decaying top quarks and W ...
Many searches for physics beyond the Standard Model at the Large Hadron Collider (LHC) rely on top t...
Analyses involving top quarks are characterised by the presence of several b-jets in the final state...
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 ...
We present techniques for the identification of hadronically-decaying W bosons and top quarks using ...
The performance of identification algorithms (“taggers”) for hadronically decaying top quarks and W ...
The performance of taggers for hadronically decaying top quarks and $W$ bosons in $pp$ collisions at...
The identification of boosted heavy particles such as top quarks or vector bosons is one of the key ...