A SHIFT of Perspective: Observing Neutrinos at CMS and ATLAS

This paper proposes that the SHIFT@LHC fixed-target concept could enable the first-ever detection of neutrinos in general-purpose LHC detectors (CMS and ATLAS), predicting approximately 10,000 muon-neutrino and 1,000 electron-neutrino interactions from proton-gas collisions to provide unique access to hadron production in the pseudorapidity range of 5 to 8.

Original authors: Alfonso Garcia-Soto, Jeremi Niedziela

Published 2026-06-10
📖 5 min read🧠 Deep dive

Original authors: Alfonso Garcia-Soto, Jeremi Niedziela

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

The Big Idea: A "Ghost" Hunter in a Giant Machine

Imagine the Large Hadron Collider (LHC) at CERN as a massive, high-speed train track where tiny particles (protons) race around at near the speed of light. Usually, scientists crash these trains together head-on to see what explodes.

This paper proposes a new, slightly different way to use the LHC. Instead of just looking at the head-on crashes, they suggest setting up a "gas trap" (a fixed target) about 100 meters down the track from the main crash site.

The Analogy:
Think of the main collision point as a busy highway intersection. The "gas trap" is like a small, invisible net placed on the side of the road, 100 meters away. When the proton beam passes this net, it smashes into the gas molecules inside. This creates a spray of new particles, much like a car hitting a puddle and spraying water everywhere.

Most of this spray flies forward, like water from a hose. Among these particles are neutrinos.

What are Neutrinos?

Neutrinos are like invisible ghosts. They have almost no mass and no electric charge. They can pass through entire planets without stopping. Because they are so hard to catch, we usually need massive, specialized detectors to find them.

The Paper's Claim:
The authors suggest that if we use this "gas trap" setup, the LHC's main detectors (CMS and ATLAS)—which are huge, multi-story buildings sitting further down the track—will act as giant ghost catchers.

They calculate that even if we only use 1% of the LHC's scheduled time for this experiment, these main detectors could catch thousands of neutrino interactions.

  • Muons (a type of heavy electron): About 10,000 interactions.
  • Electrons: About 1,000 interactions.
  • Energy: These ghosts would be carrying energy ranging from a light bulb's worth (20 GeV) to a lightning bolt's worth (1 TeV).

Why is this Special? (The "New View")

Usually, the LHC detectors look at what happens right in the middle of the crash. They miss the particles that fly off at very sharp, forward angles.

The Analogy:
Imagine a fireworks display. The main cameras are set up to film the explosion in the center. But this new setup allows the cameras to film the sparks flying off at a sharp angle, which no one has ever been able to see clearly before in this specific energy range.

This setup lets scientists look at a "blind spot" in the universe:

  1. The Angle: It sees particles flying at angles (pseudorapidity) that current detectors can't see.
  2. The Source: It helps us understand how particles (pions and kaons) are made and decay before they hit the detector.
  3. The Comparison: It fills a gap between the low-energy neutrinos we see from the sun or atmosphere and the super-high-energy ones from deep space.

How Will They Catch the Ghosts?

The detectors (CMS and ATLAS) are like giant, layered sandwiches.

  1. The Layers: They have layers of metal and sensors.
  2. The Interaction: When a neutrino (the ghost) finally hits a nucleus inside the detector's metal layers, it creates a tiny explosion of energy (a shower of particles).
  3. The Signal: This explosion leaves a trace. The scientists can tell the difference between a muon-neutrino and an electron-neutrino based on the shape of the explosion and the type of particle that flies out.

The Challenges (The "Noise")

The paper admits this won't be easy.

  • The Background Noise: When the gas trap is hit, it also creates regular particles (like muons) that travel alongside the neutrinos. It's like trying to hear a whisper (the neutrino) while a loud band (the other particles) is playing nearby.
  • The Solution: The scientists think they can filter this out. The neutrinos will hit the detector at a slightly different angle or time than the loud background noise. They also plan to use the outer layers of the detector to spot the "loud" particles and ignore them, focusing only on the "whispers" that made it through.
  • The Confusion: Sometimes, a neutral particle can mimic an electron. The paper notes this is a problem they will need to solve with better computer simulations later.

What Will They Learn?

If this works, it's a historic first: detecting neutrinos inside a general-purpose particle collider detector.

This isn't just about finding ghosts; it's about understanding the "recipe" of the universe.

  • Atmospheric Neutrinos: Experiments that look for neutrinos coming from the Earth's atmosphere (like IceCube or DUNE) need to know exactly how these particles are made. This experiment provides a controlled "lab" to test those recipes.
  • New Materials: Because the detectors are made of different metals (brass, copper, steel, tungsten), scientists can see how neutrinos interact with different materials, which helps improve our understanding of physics.

Summary

The paper proposes turning a side-section of the LHC into a neutrino factory. By shooting protons into a gas trap, they can create a beam of neutrinos that flies straight into the main detectors. Even with a small amount of time, they expect to catch thousands of these elusive particles, opening a new window to study how matter behaves at the very edge of our current knowledge.

Drowning in papers in your field?

Get daily digests of the most novel papers matching your research keywords — with technical summaries, in your language.

Try Digest →