Infrared Subtraction with Artificial Intelligence
Quick summary
arXiv:2609.36007v2 Announce Type: replace-cross Abstract: We present AI-developed local infrared subtraction, building on projection to Born and EFT matching. The framework separates an integrable radiation term from a finite contribution at Born kinematics, referred to as the Born contact. The contact is determined using the EFT singular distribution in a resolution observable such as N-jettiness $\tau_N$. Under human physics guidance, an LLM develops two implementations. One uses a neural network for phase space projection and fits the contact by matching to EFT cumulants. The other uses an
Key takeaways
- arXiv:2609.36007v2 Announce Type: replace-cross Abstract: We present AI-developed local infrared subtraction, building on projection to Born and EFT matching.
- The framework separates an integrable radiation term from a finite contribution at Born kinematics, referred to as the Born contact.
- The contact is determined using the EFT singular distribution in a resolution observable such as N-jettiness $\tau_N$.
Why it matters
“Infrared Subtraction with Artificial Intelligence” illustrates how changes in the AI ecosystem can affect products, workflows and user expectations together. Its lasting significance depends on measurable adoption, cost and safety outcomes.

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