Measurements of differential cross-sections of $WbWb$ production in the dilepton channel in $pp$ collisions at = 13 TeV using the ATLAS detector
Using 140 fb of 13 TeV proton-proton collision data collected by the ATLAS detector, this paper presents the first measurement of differential cross-sections for $WbWb$ production in the dilepton channel at the particle level, providing crucial constraints on the modeling of top-quark processes and their interference effects.
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
Imagine the Large Hadron Collider (LHC) as the world's most powerful, high-speed particle racetrack. In this race, protons smash into each other at nearly the speed of light, creating a chaotic explosion of new particles. Among the debris, physicists are hunting for a very specific, rare combination: two heavy "top" quarks (the heaviest known particles) that decay into a final state containing two -quarks (bottom quarks), two bosons, and finally, two charged leptons (an electron and a muon).
Think of this final state, called $WbWb$, as a complex puzzle. Usually, when scientists see this puzzle, they assume it was built by a pair of top quarks () splitting apart. But there's a twist: sometimes, a single top quark can team up with a boson and a -quark ($tW$) to create the exact same final picture.
Here is the tricky part: in the quantum world, these two different ways of building the puzzle can happen at the same time and "interfere" with each other, like two sound waves crashing together to create silence or a louder noise. This interference is a subtle, invisible force that makes it hard to know exactly how the puzzle was put together.
The Big Hunt
The ATLAS collaboration, a team of thousands of scientists using a giant detector called ATLAS, decided to investigate this interference. They looked at a massive pile of data—140 fb of proton-proton collisions recorded between 2015 and 2018 at a collision energy of 13 TeV. That's like watching 140 trillion collisions to find just the right ones.
They focused on events where they found exactly one electron and one muon (with opposite electric charges) and at least two jets of particles containing -quarks. By measuring how often these events happened and how the particles moved, they mapped out the "differential cross-sections." In plain English, this means they measured the probability of finding these particles moving at specific speeds and angles.
The "Minimax" Clue
To catch the interference in the act, the scientists invented a special variable called . Imagine you have two -jets and two leptons. You try to pair them up in two different ways and calculate the mass of each pair. You pick the pairing that gives the largest mass, and then you look at the smallest of those largest masses.
If the event came from two top quarks (the "double resonance"), this number is usually kept below the mass of a top quark. But if the event involves the interference from the single-top process, this number can shoot up higher. It's like a speed trap that only catches the cars that are breaking the quantum rules.
What They Found (and What They Didn't)
The team compared their real-world measurements against various computer simulations (Monte Carlo generators) that try to predict how these particles should behave.
- The Best Guess: The simulation that used a method called "Diagram Removal" (DR) to handle the interference matched the data the best. However, even this "best" guess failed to perfectly describe the very high-energy tail of the distribution. It's like having a map that gets you to the city, but the details of the downtown streets are still a bit fuzzy.
- The "Full State" Simulation: There was a more advanced simulation that tried to model the entire $WbWb$ process at once (including all interference effects naturally). While this was expected to be the most accurate, it actually underestimated the number of events in the high-energy tail. The paper notes that this simulation is still being reviewed and doesn't have a full set of error bars yet, so we can't say for sure if it's "wrong," but it doesn't fit the current data perfectly.
- The "No-Go" Zone: The paper explicitly argues against the idea that a single, simple prediction can describe all the different measurements at once. Whether they looked at the speed of the jets, the mass of the particle groups, or the number of jets, no single computer model got every single variable right simultaneously. Some models got the jet speeds right but missed the lepton speeds; others got the masses right but missed the jet counts.
The Numbers
The scientists measured the total "fiducial cross-section" (a measure of how often this specific event happens within their detector's view).
- In the region with exactly two -jets, the rate was 5.77 ± 0.01 (stat) +0.27 -0.29 (syst) ± 0.05 (lumi) pb.
- In the region with two or more -jets, the rate was 5.97 ± 0.01 (stat) +0.27 -0.30 (syst) ± 0.05 (lumi) pb.
These numbers are precise, but the paper is careful to say the biggest uncertainty comes from not knowing exactly how the computer models should behave (signal modelling) and how well they can tag the -quarks (flavour tagging).
The Takeaway
This study is a massive upgrade from previous work, cutting the total uncertainty in half thanks to more data and better tools. The results show that while our current computer models are "reasonable," they aren't perfect. They struggle to capture the full complexity of the quantum interference between single-top and top-pair production.
The paper concludes that we need better computer simulations to untangle these effects. Until then, the "perfect" model that explains every angle, speed, and mass of these particle collisions remains a work in progress. The measurements provide a strict set of rules that future theories must follow, acting as a guide for the next generation of particle physics models.
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