5 papers
Observable Optimization for Precision Theory: Machine Learning Energy Correlators
Arindam Bhattacharya, Katherine Fraser, Matthew D. Schwartz
The practice of collider physics typically involves the marginalization of multi-dimensional collider data to uni-dimensional observables relevant for some physics task. In any cas…
Analytic Regression of Feynman Integrals from High-Precision Numerical Sampling
Oscar Barrera, Aurélien Dersy, Rabia Husain +2
In mathematics or theoretical physics one is often interested in obtaining an exact analytic description of some data which can be produced, in principle, to arbitrary accuracy. Fo…
Precision Hemisphere Masses in the Dijet Region with Power Corrections
Andre H. Hoang, Vicent Mateu, Matthew D. Schwartz +1
We derive high-precision results for the heavy jet mass (HJM) and dihemisphere mass (DHM) distributions, for , in the dijet reg…
A Precise Determination of from the Heavy Jet Mass Distribution
Miguel A. Benitez, Arindam Bhattacharya, Andre H. Hoang +4
A global fit for is performed on available data for the heavy jet mass distribution. The state-of-the-art theory prediction includes fixed-…
Renormalons as Saddle Points
Arindam Bhattacharya, Jordan Cotler, Aurélien Dersy +1
Instantons and renormalons play important roles at the interface between perturbative and non-perturbative quantum field theory. They are both associated with branch points in the…