Study of the Run-3 muon flux at the SND@LHC experiment

This study characterizes the long-range muon background at the SND@LHC experiment during LHC Run-3 by validating Monte Carlo simulations against measurements, identifying a persistent flux increase due to ATLAS horizontal crossing and diffractive losses, and confirming that upcoming detector upgrades will maintain efficiency despite projected rate rises in the High-Luminosity LHC era.

Original authors: LHC Collaboration

Published 2026-03-24
📖 6 min read🧠 Deep dive

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

The Big Picture: A Neutrino Detective in a Storm

Imagine the SND@LHC experiment as a high-tech detective agency located deep underground, about half a kilometer away from the main crime scene (the ATLAS collision point at the Large Hadron Collider).

The detectives' job is to catch neutrinos. Neutrinos are like "ghosts"—tiny, invisible particles that rarely interact with anything. To catch them, the detectives set up a trap (a detector) and wait for a ghost to bump into something.

The Problem: The area is incredibly noisy. Every time the main collider smashes protons together, it creates a massive storm of other particles, including muons. Muons are like "hooligans" compared to the ghostly neutrinos. They are heavy, fast, and they love to crash into things, creating fake signals that look exactly like the ghosts the detectives are trying to find.

This paper is essentially a report card on how well the team managed this "muon storm" during the 2022–2025 period (Run-3) and how they plan to handle an even bigger storm coming in the future.


1. The Setup: Building a Shield

The detector is built like a fortress.

  • The Veto (The Gatekeeper): Before the main trap, there's a gate made of scintillating bars (like glowing flashlights). If a muon tries to sneak in, the gate sees it and says, "Stop! That's a hooligan, not a ghost!"
  • The Target (The Trap): Inside, there are layers of special film (emulsion) and tungsten plates. This is where the ghosts are supposed to leave a trace.
  • The Muon System (The Net): At the back, there are more sensors to catch any muons that managed to punch through the front layers.

2. The Rollercoaster of 2022–2025

The LHC isn't a static machine; they constantly tweak how the proton beams are steered (the "optics") to get more collisions. Think of it like adjusting the lanes on a highway to prevent traffic jams.

  • 2022–2023 (The Calm Days): The highway was set to "Standard Mode." The muon storm was manageable. The team's computer simulations (a digital twin of the experiment) predicted the noise level pretty well, within about 10–15% of reality.
  • 2024 (The Chaos Year): They tried a new setting called "Reverse Polarity" to protect the machine's magnets from getting too hot. Result: Disaster. The muon noise doubled. It was like opening a floodgate. The simulations initially underestimated this, but once they tweaked the model, they realized the new settings were sending more high-energy muons straight toward the detector.
  • 2025 (The Partial Fix): They went back to "Standard Mode," but they also changed the angle at which the proton beams cross each other (from vertical to horizontal).
    • The Surprise: They expected the noise to go back to 2022 levels. It didn't. It was still too loud.
    • The Detective Work: Using their super-computer simulations, they found the culprit. By crossing the beams horizontally, they accidentally kicked more "diffractive protons" (stray particles) into a specific region of the tunnel called the Dispersion Suppressor. These protons hit magnets, creating a new wave of muons that came in at a weird, sharp angle, bypassing some of the safety checks.

3. The "Aha!" Moment: Fixing the Simulation

The team noticed their computer model was missing a whole group of muons coming from a specific spot (half-cell 11).

  • The Analogy: Imagine you are trying to count raindrops hitting your roof, but your sensor is only placed on the left side. You miss all the rain hitting the right side.
  • The Fix: They moved their virtual "sensor" (the interface plane in the simulation) closer to the detector and widened it to catch those sneaky, high-angle muons. Suddenly, the computer predictions matched the real-world data perfectly.

4. The Band-Aid Solution: Orbit Bumps

Once they knew where the muons were coming from (the "half-cell 11" magnets), they tried to move the source.

  • The Analogy: Imagine a sprinkler is spraying water on your garden. You can't turn off the sprinkler, but you can move the garden hose slightly so the water hits the dirt instead of your flowers.
  • The Action: They created a tiny "orbit bump," shifting the proton beam just a few millimeters. This moved the source of the muon storm away from the detector.
  • The Result: It worked! They reduced the noise by 15–20%. However, they decided not to keep this fix permanently because it was tricky to maintain and the machine was running at lower power anyway.

5. The Future: The HL-LHC (High-Luminosity LHC)

The machine is getting a massive upgrade for the 2030s.

  • The Challenge: The "High-Luminosity" upgrade means the proton beams will be much brighter and the magnets will have bigger holes (apertures) to let more particles through. This means the muon storm will be four times worse than it is today.
  • The Good News: The detector is getting an upgrade too. They are swapping out the old, slow "emulsion film" (which is like photographic film that needs to be developed) for Silicon Vertex Detectors (like super-fast digital cameras).
  • The Verdict: Even though the muon storm will be a hurricane, the new digital detectors are fast and tough enough to handle it. They will still be able to catch the "ghosts" (neutrinos) without getting overwhelmed by the "hooligans" (muons).

Summary

This paper is a story of adaptation.

  1. The machine changed, and the noise got worse.
  2. The team used advanced computer simulations to figure out why the noise got worse (it was a specific type of muon coming from a specific angle).
  3. They fixed their simulations to match reality.
  4. They tested a small physical tweak to reduce the noise.
  5. They confirmed that their future upgrades will be strong enough to survive an even louder future.

It's a great example of how scientists use math, physics, and clever engineering to keep their experiments running smoothly in a chaotic environment.

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