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20242026
most citedObservable Optimization for Precision Theory: Machine Learning Energy Correlators

1 citations · 1 across the 5 of their papers we have counts for

collaborators

6 papers

hep-th2026

Renormalon Saddles in the OPE

Arindam Bhattacharya, Jordan Cotler, Aurélien Dersy +1

The cancellation of renormalon ambiguities in the operator product expansion is usually formulated as a matching between perturbative Borel ambiguities and prescription dependence…

hep-ph2026

EFT Approaches to Sommerfeld Enhancement and Bound States in Singular Potentials

Arindam Bhattacharya, Rashmish K. Mishra, Tracy R. Slatyer

The Sommerfeld enhancement (SE) from long-range interactions, and the related bound state formation rate, can be important non-perturbative inputs to dark matter (DM) annihilation…

hep-ph2025★ 1 cited

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…

hep-ph2025

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-…

hep-th2024

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…

hep-th2024

The Collective Coordinate Fix

Arindam Bhattacharya, Jordan Cotler, Aurélien Dersy +1

Collective coordinates are frequently employed in path integrals to manage divergences caused by fluctuations around saddle points that align with classical symmetries. These coord…