Active Physics & Astronomy Computing & AI

Searches for Axions in Ultra-Peripheral heavy ion collisions

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Physicists are sifting through billions of lead-ion collisions at the Large Hadron Collider, hunting for ghost-like particles called axions that could rewrite the rules of fundamental physics. The problem is that the Standard Model of particle physics—our best description of matter and forces—has a known flaw called the "strong CP problem," which axions were invented to fix. These particles would also explain why the universe contains more matter than antimatter, and they are a leading candidate for dark matter. But no one has ever seen one. This project searches for axion-like particles (ALPs) in a special type of lead-lead collision where the ions graze past each other without smashing apart, producing pure photon-photon interactions. The ATLAS detector records the resulting particle decays, but its current software struggles to identify low-energy photons in this environment. The researchers are developing deep neural networks to analyse detector images, improving photon reconstruction and background rejection against electrons and neutral pions. If successful, this could either discover ALPs or set the most stringent limits on their existence. This is fundamental science with no immediate practical application. But past searches for exotic particles led to technologies like superconducting magnets for MRI machines and the World Wide Web itself. A confirmed axion would reshape our understanding of the universe’s most basic workings.

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Axions are particles that were postulated to solve the "strong CP problem". However, axion-like particles (ALPs) appear in many beyond Standard Model theories. Their signature couplings are to photons and their mass is unconstrained. The LHC is currently breaking new ground in accessing previously unexplored ALP models using both proton-proton and Pb-Pb collisions. This project is about searching with ALPs using ultra-peripheral Pb-Pb collision (UPC) data recorded with the ATLAS detector at the LHC. In these collisions2, the heavy ions interact electromagnetically without breaking up. They are ideal for the study of photon-photon produced resonances, like ALPs produced by the interaction of two photons. The ALPs then decay to photon-photon pair that can be recorded in the detector. Photon reconstruction and identification in ATLAS has not been optimized for the UPC environment and this opens an excellent opportunity to develop new techniques. A major improvement in the sensitivity of this analysis is expected by studying a photon reconstruction and identification using image analysis with deep neural networks, which will allow us to reconstruct photons with lower transverse momentum and identify them better against backgrounds from electrons or neutral pions than it is now possible using the current algorithms. These techniques combined with the forthcoming LHC heavy ion datasets will enable us to achieve the best possible sensitivity to ALPs leading to a discovery or a most stringent upper limit on their production.

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Researchers

Shirsendu Roy (Student)

Related Research

Grants with similar aims, by meaning.

Axion searches in rare Higgs decays at ATLAS
Search for axion-like particle produciton in kaon decays at CERN-NA62 experiment
Experimental Particle Physics at the University of Edinburgh
Physics beyond the Standard Model at the LHC and beyond
Search for new physics in data collected by the ATLAS detector at the Large Hadron Collider

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Studentship

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