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arXiv AI By Wenjie He, Xiaohui Liu, Yandong Liu, Zhan Wang

Infrared Subtraction with Artificial Intelligence

Read the original on arXiv AI →

The article introduces an AI‑developed local infrared subtraction method that separates integrable radiation from a finite Born‑contact term using EFT singular distributions in observables like N‑jettiness. Two implementations are presented: one employing a neural‑network phase‑space projection fitted to EFT cumulants, and another using an analytic construction that keeps Born momenta fixed while integrating over radiation. The method is demonstrated by reconstructing NLO corrections for massless 3‑ and 4‑jet production in electron‑positron annihilation and extending to NNLO dijet production, with results agreeing with EERAD3 and showing feasibility on modest hardware.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

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