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Two-loop gg→AAgg\to AA amplitudes near threshold and the double parton scattering singularity

This paper presents a closed-form expansion of two-loop gg→AAgg\to AA amplitudes near threshold in powers of pseudoscalar velocity, revealing the cancellation of inverse and odd powers, identifying the leading logarithmic behavior with the double parton scattering singularity, and providing a numerically accurate series for soft-gluon resummation of the pair invariant-mass distribution.

Original authors: Arunima Bhattacharya

Published 2026-10-15
📖 5 min read🧠 Deep dive

Original authors: Arunima Bhattacharya

Original paper licensed under CC BY 4.0 (http://creativecommons.org/licenses/by/4.0/). ✨ This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer

In the heart of the Large Hadron Collider, protons smash together at nearly the speed of light, shattering into a spray of new particles. Among the most elusive targets are pairs of heavy, invisible particles called pseudoscalars, which are predicted by theories extending our current understanding of physics. To find them, scientists must predict exactly how often they are produced and what their energy distribution looks like. This requires calculating the complex interactions of the strong nuclear force, the glue that holds atomic nuclei together. When two gluons—the carriers of this force—collide to create a pair of these particles, the calculation involves intricate loops of virtual particles that appear and vanish in the blink of an eye. These calculations are notoriously difficult, especially when the produced particles move very slowly, a condition known as the threshold region. In this slow-motion regime, the mathematical expressions describing the collision become so unwieldy that standard computer programs struggle to evaluate them, often obscuring the very patterns scientists need to see.

A researcher has now untangled this mathematical knot for a specific type of collision where two gluons fuse to create a pair of pseudoscalars. They focused on a challenging region where the particles are produced with very little speed relative to each other. By expanding the complex equations into a series of simpler terms, they managed to strip away the noise and reveal the underlying structure of the interaction. The result is a set of compact formulas that accurately describe the collision process when the particles are moving slowly, replacing a massive, difficult-to-use file with a much smaller, faster, and more transparent set of instructions. This work not only provides a precise tool for future experiments but also uncovers a hidden connection between two seemingly different ways particles can interact.

The researcher began with a massive collection of mathematical expressions that described the collision at a very high level of precision, known as the two-loop level. These expressions were so large they occupied hundreds of megabytes of computer memory, and they contained many terms that canceled each other out almost perfectly, making it hard to see the physical behavior near the threshold. The researcher systematically expanded these expressions in terms of the velocity of the produced particles. They discovered that when they organized the terms correctly, a surprising amount of cancellation occurred. All the confusing, inverse powers of velocity and the odd powers vanished, leaving behind a clean series where every term behaved in a predictable, symmetric way. This confirmed that the mathematics respected the fundamental symmetries of nature, even in this difficult limit.

A key discovery emerged from this clean series: the behavior of the collision is dominated by a specific mathematical term related to the transverse momentum of the particles. This term, which grows as the particles move slower, was identified as a signature of a phenomenon called double parton scattering. In this scenario, a single parton from one proton splits into two, and a single parton from the other proton does the same, with the four resulting particles then interacting to form the final pair. The researcher found that the strength of this effect in their calculation matched a theoretical prediction derived from a much simpler, one-loop calculation. They tested this by looking at the collision in the forward direction, where the particles move almost parallel to the beam, and found that the velocity dependence of their complex two-loop result matched the simpler prediction with an accuracy of three parts in a quadrillion. This confirmed that the complex, multi-loop calculation was correctly capturing the physics of this double-splitting mechanism.

The study also revealed how the behavior changes depending on the spin orientation of the colliding gluons. When the gluons have the same spin, the interaction grows rapidly as the particles slow down, following a pattern that matches predictions from a highly symmetric theoretical model known as super Yang-Mills theory. However, when the gluons have opposite spins, a different pattern emerges. While this configuration showed no sign of the double-splitting effect at the simpler one-loop level, the two-loop calculation showed that it develops a new, significant logarithmic growth at this higher level of precision. This suggests that the double-splitting mechanism becomes relevant for a wider range of interactions than previously thought, even though the exact origin of this new growth remains an open question for future study.

The practical impact of this work is immediate for experimentalists analyzing data from the collider. The new, simplified formulas allow for the precise calculation of the collision rate near the production threshold, a region where the particles are just barely created. This is crucial for distinguishing between standard background noise and potential signals of new physics. The researcher provided the new formulas and the computer code to evaluate them, making it possible to include these high-precision corrections in the analysis of real data. By doing so, they have provided a vital piece of the puzzle for understanding how heavy particles are born in the most energetic collisions in the universe, ensuring that future searches for new physics are built on the most solid theoretical foundation possible.

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