← Latest papers
⚛️ phenomenology

PDF effects in high-mass Drell-Yan SMEFT analyses across flavour space

This paper demonstrates that profiling parton distribution functions (PDFs) in high-mass Drell-Yan SMEFT analyses induces a strongly flavor-dependent degradation of sensitivity, with the most significant impacts occurring for operators involving first-generation quarks due to correlations with high-xx valence luminosities, while angular information offers a crucial handle to mitigate these degeneracies.

Original authors: David Marzocca, Manuel Morales-Alvarado

Published 2026-07-10
📖 6 min read🧠 Deep dive

Original authors: David Marzocca, Manuel Morales-Alvarado

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 particle microscope. Scientists smash protons together to look for tiny, invisible cracks in the Standard Model—the rulebook of physics. One of the best ways to peek at these cracks is to watch what happens when protons collide and spit out pairs of heavy electrons or muons (dileptons) at incredibly high speeds. This is called "High-Mass Drell-Yan" production.

Think of the protons not as solid balls, but as fuzzy bags of smaller particles called quarks and gluons. To predict exactly what happens when they smash, physicists need a map of how these fuzzy particles are distributed inside the bag. This map is called a Parton Distribution Function (PDF).

The Great Mix-Up: New Physics vs. Fuzzy Maps

The paper tackles a tricky problem: How do we know if a weird signal is a brand-new particle (New Physics) or just a mistake in our map (PDF uncertainty)?

Imagine you are trying to find a hidden treasure (New Physics) in a forest. But your map of the forest (the PDF) is a little blurry in the deep, dark corners. If you see a strange shape in the distance, is it the treasure, or just a trick of the light caused by the blurry map?

In the past, scientists often treated the map as perfect and fixed. They would say, "If the data doesn't match the map, it must be New Physics!" But this paper argues that's risky. If the map is actually blurry, that "New Physics" might just be us adjusting the map to fit the data.

The Main Discovery: It Depends on Who You Ask

The authors, David Marzocca and Manuel Morales-Alvarado, ran a massive simulation to see what happens when they let the map wiggle around while looking for New Physics. They tested different "flavors" of New Physics, which are like different types of invisible hands pushing the particles.

Here is the big surprise they found: The confusion between the map and the treasure depends entirely on which type of quark is involved.

  1. The "First-Generation" Trouble: When the New Physics involves the lightest, most common quarks (up and down quarks, the "first generation"), the confusion is huge.

    • The Analogy: Imagine trying to find a specific type of bird in a forest where that bird is the most common one. If your map of where the birds usually hang out is slightly off, you might think you found a rare, magical bird when you actually just miscounted the common ones.
    • The Result: In their simulations, when they allowed the map to wiggle, the limits on these first-generation effects got much worse. For some operators, the uncertainty range (the "search area") grew by 100% to 131% at the future High-Luminosity LHC (HL-LHC). It's like your search area doubling in size because you can't be sure if the map or the bird is the problem.
  2. The "Heavy" Quarks are Easier: When the New Physics involves heavier, rarer quarks (like charm or bottom quarks), the confusion is much smaller.

    • The Analogy: These heavy quarks are like rare, exotic birds that don't hang out in the main forest. Since they aren't the main focus of the map's "blurry" areas, it's easier to tell if you see a real exotic bird or just a map error.
    • The Result: The uncertainty only grew by about 30% to 50% in the simulations. The map's wiggles didn't hide the treasure as well.

The Magic Angle: A New Tool

The paper also suggests a clever trick to solve this mix-up: Look at the angles!

When particles fly out, they don't just go straight; they scatter at different angles. The paper shows that New Physics often changes the angle of the particles in a specific way, while the map errors (PDFs) don't care about angles—they just change the total number of particles.

  • The Analogy: Imagine the New Physics is a wind that pushes the birds to the left, while the blurry map just makes you think there are more birds in general. If you only count the birds, you get confused. But if you look at which way they are facing, you can tell the difference between the wind and the map error.
  • The Result: By keeping the angle information separate (instead of squashing it all together), the scientists found they could shrink the "search area" significantly. It acts like a super-sharp lens that separates the signal from the noise.

What They Ruled Out (and What They Didn't)

  • They did NOT say: "We found New Physics!" or "The map is useless."
  • They explicitly showed: That ignoring the map's wiggles (fixing the PDFs) gives you a false sense of security. If you don't let the map wiggle, you think you have a very tight grip on the New Physics, but in reality, the map could be hiding a huge range of possibilities.
  • They did NOT prove: That New Physics exists. They only simulated how hard it would be to find it. Their results are based on simulations of current data and projections for the future HL-LHC (which will run with 6 ab⁻¹ of data).
  • They did NOT suggest: That we should stop looking at heavy quarks. In fact, they showed that heavy quarks are actually less affected by these map errors, making them potentially cleaner places to look for certain types of new physics.

The Bottom Line

This paper is a warning label for future experiments. It suggests that as we get more data from the LHC (specifically the High-Luminosity phase), the "fuzziness" of our proton maps will become the biggest obstacle to finding new physics, but only if we are looking at the common, light quarks.

If we want to find the treasure, we can't just stare at the total number of particles. We need to:

  1. Let our maps wiggle and admit they aren't perfect.
  2. Pay extra attention to the angles the particles take.
  3. Understand that some types of new physics are much harder to spot than others because they hide in the "blurry" parts of the map.

The authors conclude that we must treat these uncertainties differently depending on the "flavor" of the physics we are hunting. It's not a one-size-fits-all problem; it's a flavor-dependent mystery.

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 →