16 citations · 25 across the 4 of their papers we have counts for
6 papers
The Higgs boson through the lens of electroweak precision data
Yannick Fischer, Johannes Haller, Andreas Hoecker +5
The global electroweak fit tests the quantum structure of the Standard Model by confronting precision measurements with high-order theoretical predictions. This paper presents an u…
Unbinned inclusive cross-section measurements with machine-learned systematic uncertainties
Lisa Benato, Cristina Giordano, Claudius Krause +5
We introduce a novel methodology for addressing systematic uncertainties in unbinned inclusive cross-section measurements and related collider-based inference problems. Our approac…
Top Quark Mass Extractions from Energy Correlators: A Feasibility Study
Jack Holguin, Ian Moult, Aditya Pathak +3
In a recent article, we proposed an energy correlator-based method to achieve a precision top quark mass extraction from jet substructure, using the -boson mass as a standard ca…
A rotation-equivariant graph neural network for learning hadronic SMEFT effects
Suman Chatterjee, Sergio Sánchez Cruz, Robert Schöfbeck +1
We introduce a graph neural network architecture designed to extract novel phenomena in the Standard Model Effective Field Theory (SMEFT) context from LHC collision data. The propo…
Precision Top Mass Measurement Using Energy Correlators
Jack Holguin, Ian Moult, Aditya Pathak +3
Precision top mass measurements at hadron colliders have been notoriously difficult. The fundamental challenge in the current approaches lies in achieving simultaneously high top m…
Using the as a Standard Candle to Reach the Top: Calibrating Energy Correlator Based Top Mass Measurements
Jack Holguin, Ian Moult, Aditya Pathak +3
The top quark mass is a key parameter of the Standard Model, yet measuring it precisely at the Large Hadron Collider (LHC) is challenging. Inspired by the use of standard candles i…