17 citations · 24 across the 5 of their papers we have counts for
5 papers
Efficient Estimation of Unfactorizable Systematic Uncertainties
Alexis Romero, Kyle Cranmer, Daniel Whiteson
Accurate assessment of systematic uncertainties is an increasingly vital task in physics studies, where large, high-dimensional datasets, like those collected at the Large Hadron C…
Jet Rotational Metrics
Alexis Romero, Daniel Whiteson
Embedding symmetries in the architectures of deep neural networks can improve classification and network convergence in the context of jet substructure. These results hint at the e…
Resolving Extreme Jet Substructure
Yadong Lu, Alexis Romero, Michael James Fenton +2
We study the effectiveness of theoretically-motivated high-level jet observables in the extreme context of jets with a large number of hard sub-jets (up to ). Previous studies…
Safety of Quark/Gluon Jet Classification
Alexis Romero, Daniel Whiteson, Michael Fenton +2
The classification of jets as quark- versus gluon-initiated is an important yet challenging task in the analysis of data from high-energy particle collisions and in the search for…
Multi-scale Mining of Kinematic Distributions with Wavelets
Ben G. Lillard, Tilman Plehn, Alexis Romero +1
Typical LHC analyses search for local features in kinematic distributions. Assumptions about anomalous patterns limit them to a relatively narrow subset of possible signals. Wavele…