Search for displaced decays of long-lived particles in events with missing transverse momentum in s=13\sqrt{s} = 13 TeV pppp collisions with the ATLAS detector

Using 137 fb⁻¹ of 13 TeV proton-proton collision data from the ATLAS detector, this study searches for long-lived particles via displaced vertices and missing transverse momentum, finding no significant excess over Standard Model backgrounds and setting 95% confidence-level limits on four specific beyond-the-Standard Model scenarios.

ATLAS Collaboration

Published Fri, 13 Ma
📖 6 min read🧠 Deep dive

Imagine the Large Hadron Collider (LHC) as the world's most powerful particle smasher. It smashes protons together at near light speed to recreate the conditions of the universe just after the Big Bang. Usually, when these particles smash, they break apart instantly, creating a shower of debris that our detectors catch immediately.

But what if some of the debris doesn't break apart right away? What if some particles are "ghosts" that travel a bit, hide for a moment, and then pop into existence somewhere else? These are called Long-Lived Particles (LLPs).

This paper is a report from the ATLAS experiment at CERN, describing a massive "ghost hunt" using data from 2016 to 2018. Here is the story of their search, explained simply.

1. The Goal: Catching the "Late Arrivals"

Most physics experiments look for particles that appear instantly at the collision point (the "interaction point"). But the ATLAS team was looking for something different: Displaced Vertices.

Think of a standard collision like a firecracker exploding right in your hand. You see the sparks immediately.
A Displaced Vertex is like a firecracker that is thrown into the air, flies for a few meters, and then explodes. The explosion happens far away from where you threw it.

The team was looking for these "late explosions" inside the detector, specifically in events where something else was missing. They were hunting for events with:

  • A "Late Explosion": A cluster of tracks appearing far from the center.
  • Missing Energy: A sense that something invisible (like a dark matter candidate) escaped the scene, leaving a gap in the energy balance.

2. The Tools: Two Different Flashlights

To find these ghosts, the team used two different "flashlights" (algorithms) to scan the dark corners of the detector.

  • The "Standard" Flashlight (SDV): This is a sharp, precise light. It looks for clean, well-defined explosions where particles come from a single, tight point. It's great for finding heavy particles that break apart into light, fast-moving pieces.
  • The "Fuzzy" Flashlight (FDV): This is a new, special tool. Sometimes, the "ghosts" decay into heavy particles (like bottom quarks) that travel a bit on their own before stopping. This makes the explosion look "fuzzy" or spread out, like a cloud of smoke rather than a sharp point. The "Fuzzy" algorithm is designed to catch these messy, spread-out clouds that the standard flashlight might miss.

3. The Suspects: Four Theories

The team didn't just look for any ghost; they were testing four specific theories about what these ghosts could be:

  1. The Gluino R-Hadron: Imagine a heavy particle that gets dressed up in a "costume" (a cloud of other particles) before it decays. It travels a bit, then sheds the costume and disappears.
  2. The Bino-Wino Coannihilation: Think of two cousins (particles) who are very similar in weight. One is stable, and the other is unstable but long-lived. The unstable one wanders off, turns into a heavy particle (like a bottom quark), and then vanishes.
  3. The DFSZ Axino: This involves a particle called an "axino" (related to the solution of a major physics mystery called the "Strong CP problem"). It's a very light, sneaky particle that might be the dark matter itself.
  4. The Higgs Portal: Imagine the Higgs boson (the particle that gives mass to everything) has a secret door. It opens this door to let out a pair of invisible, long-lived particles that eventually decay into jets of matter.

4. The Challenge: The "Material Map"

One of the biggest problems in this search is noise. The detector is made of metal, silicon, and wires. Sometimes, normal particles hit these materials and bounce off, creating fake "explosions" that look exactly like the ghosts the team is hunting.

To solve this, the team created a Material Map. Imagine a detailed map of a city showing every single brick and pipe. If a "ghost" appears exactly where a brick is, the team knows it's just a particle hitting a brick, not a new physics discovery. They use this map to filter out the fake signals, keeping only the "ghosts" that appear in the empty space between the bricks.

5. The Results: The Silence of the Ghosts

After analyzing 137 trillion collisions (137 fb⁻¹ of data), the team found:

  • No ghosts.
  • They saw a few events that looked almost like ghosts, but they were consistent with what we expect from normal physics (background noise).
  • The "Fuzzy" flashlight found a tiny bit more activity than expected, but not enough to claim a discovery. It was like hearing a faint rustle in the bushes, but when you looked, it was just the wind.

6. What Does This Mean?

Even though they didn't find the ghosts, this is a huge success. Here is why:

  • Ruling Out Suspects: By not finding the ghosts, they have put strict limits on how heavy these particles can be. For example, they proved that if the "Gluino R-Hadron" exists, it must be heavier than 1.8 to 2.5 TeV (about 2,000 times heavier than a proton).
  • New Territory: They explored a range of particle lifetimes and masses that no one had looked at before. They effectively said, "We looked here, and the ghosts aren't hiding in this specific spot."
  • Better Tools: The "Fuzzy" algorithm they developed is a new tool for the physics community. Even if they didn't find a ghost this time, this tool will help future experiments find them if they are out there.

The Bottom Line

The ATLAS collaboration acted like a team of detectives searching a massive, dark warehouse for a specific type of thief. They used two different types of searchlights and a detailed map to ignore the shadows cast by the building itself.

They didn't find the thief. But by proving the thief isn't hiding in the corners they searched, they have narrowed down the search area for the next generation of experiments. In the world of physics, "not finding it" is often just as important as finding it, because it tells us where to look next.