Deep-learning top taggers or the end of QCD?
A bstract Machine learning based on convolutional neural networks can be used to study jet
images from the LHC. Top tagging in fat jets offers a well-defined framework to establish our …
images from the LHC. Top tagging in fat jets offers a well-defined framework to establish our …
QCD or What?
Autoencoder networks, trained only on QCD jets, can be used to search for anomalies in jet-
substructure. We show how, based either on images or on 4-vectors, they identify jets from …
substructure. We show how, based either on images or on 4-vectors, they identify jets from …
Deep-learned top tagging with a Lorentz layer
We introduce a new and highly efficient tagger for hadronically decaying top quarks, based
on a deep neural network working with Lorentz vectors and the Minkowski metric. With its …
on a deep neural network working with Lorentz vectors and the Minkowski metric. With its …
Playing tag with ANN: boosted top identification with pattern recognition
A bstract Many searches for physics beyond the Standard Model at the Large Hadron
Collider (LHC) rely on top tagging algorithms, which discriminate between boosted hadronic …
Collider (LHC) rely on top tagging algorithms, which discriminate between boosted hadronic …
Uncovering latent jet substructure
We apply techniques from Bayesian generative statistical modeling to uncover hidden
features in jet substructure observables that discriminate between different a priori unknown …
features in jet substructure observables that discriminate between different a priori unknown …
Probing the top-Higgs Yukawa CP structure in dileptonic with M2-assisted reconstruction
A bstract Constraining the Higgs boson properties is a cornerstone of the LHC program. We
study the potential to directly probe the Higgs-top CP-structure via the\(t\overline {t} h\) …
study the potential to directly probe the Higgs-top CP-structure via the\(t\overline {t} h\) …
Resonance searches with an updated top tagger
A bstract The performance of top taggers, for example in resonance searches, can be
significantly enhanced through an increased set of variables, with a special focus on final …
significantly enhanced through an increased set of variables, with a special focus on final …
Infrared safety of a neural-net top tagging algorithm
S Choi, SJ Lee, M Perelstein - Journal of High Energy Physics, 2019 - Springer
A bstract Neural network-based algorithms provide a promising approach to jet classification
problems, such as boosted top jet tagging. To date, NN-based top taggers demonstrated …
problems, such as boosted top jet tagging. To date, NN-based top taggers demonstrated …
Scrutinizing the Higgs quartic coupling at a future 100 TeV proton–proton collider with taus and b-jets
The Higgs potential consists of an unexplored territory in which the electroweak symmetry
breaking is triggered, and it is moreover directly related to the nature of the electroweak …
breaking is triggered, and it is moreover directly related to the nature of the electroweak …
Loop induced single top partner production and decay at the LHC
JH Kim, IM Lewis - Journal of High Energy Physics, 2018 - Springer
A bstract Most searches for top partners, T, are concerned with top partner pair production.
However, as these bounds become increasingly stringent, the LHC energy will saturate and …
However, as these bounds become increasingly stringent, the LHC energy will saturate and …