Energy-momentum tensor form factors and spin density distribution in the nucleon calculated in a quantized Skyrme model with vector mesons

This paper investigates energy-momentum tensor form factors and spatial spin density distributions in the nucleon using a quantized Skyrme model with vector mesons, demonstrating that while global nucleon properties remain invariant, the choice of pseudogauge (canonical versus Belinfante) significantly alters the local interpretation of spin and momentum densities.

Kenji Fukushima, Tomoya Uji

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

Imagine the proton (the core of an atom's nucleus) not as a tiny, solid marble, but as a bustling, three-dimensional city. Inside this city, there are "citizens" (quarks and gluons) zooming around, carrying energy, momentum, and spin. Physicists want to map this city: Where is the pressure highest? How is the "spin" (the city's rotation) distributed?

This paper is like a team of architects using two different blueprints to draw the same city. They discover that while the total size and weight of the city are the same in both blueprints, the local details—like where the streets are or how the wind blows—look completely different depending on which blueprint you use.

Here is a breakdown of their findings using simple analogies:

1. The Two Blueprints: "Canonical" vs. "Belinfante"

In physics, there are two main ways to write down the rules for how energy and momentum flow. The authors call these the Canonical and Belinfante forms.

  • The Analogy: Imagine you are describing a spinning ice skater.
    • Blueprint A (Canonical): You describe the spin by saying, "The skater's arms are moving fast, and her body is rotating." You separate the motion of her limbs (spin) from the motion of her body's center (orbit).
    • Blueprint B (Belinfante): You describe the spin by saying, "The entire skater is a single, solid spinning object." You don't separate the arms from the body; you just say the whole thing has angular momentum.

Both descriptions result in the same total spin for the skater. However, if you ask, "How much spin is in the skater's left hand right now?" Blueprint A gives a specific answer, while Blueprint B says, "The spin is distributed everywhere in the body, so the hand doesn't have its own separate spin."

2. The "Pseudogauge" Problem

The paper investigates something called pseudogauge freedom. This is a fancy way of saying: The laws of physics allow us to choose between these two blueprints, and neither is "wrong."

  • The Metaphor: Think of a map of a city.
    • Map A draws the city boundaries based on where the water flows.
    • Map B draws the city boundaries based on where the wind blows.
    • Both maps show the same total area of the city (the "global properties" like total mass and total spin).
    • But, if you look at a specific street corner, Map A might say it's a park, while Map B says it's a factory. The local reality looks different depending on which map you hold.

The authors found that in the proton, this choice changes how we see the pressure (how hard the quarks push against each other) and the spin density (where the rotation is happening).

3. The Key Findings

A. The Pressure Map (The "D-term")

The proton is held together by a delicate balance of forces. Some parts push out (like a balloon), and some pull in (like a rubber band).

  • The Discovery: When the authors used the "Canonical" blueprint, the pressure map looked one way. When they used the "Belinfante" blueprint, the pressure map looked different.
  • The Takeaway: If you ask a physicist, "What is the pressure at the center of the proton?" the answer depends on which "map" (pseudogauge) they are using. This means our current experimental data (which mostly sees the "total" picture) isn't detailed enough to tell us which map is the "true" local reality.

B. The Spin Distribution (The "J-term")

This is about where the proton's spin comes from.

  • The Canonical View: The spin is a mix of two things: the "orbit" of the quarks moving around, and their intrinsic "spin" (like a tiny top spinning). In this view, the vector mesons (heavy particles inside the proton) act like tiny tops that contribute their own spin.
  • The Belinfante View: In this view, the "intrinsic spin" of those tiny tops is mathematically absorbed into the "orbit." It looks like the whole proton is just orbiting, and there is no separate "spin" component left over.
  • The Result: The authors calculated that in the Canonical view, about 36% of the spin comes from orbit and 14% comes from intrinsic spin (the rest is other stuff). In the Belinfante view, it looks like 100% is orbital. The total is the same (50%), but the breakdown is totally different.

4. Why Does This Matter?

You might ask, "If the total spin is the same, why do we care?"

  • The "City Planning" Analogy: If you are a city planner trying to fix traffic, it matters where the traffic jams are. If you think the jam is in the downtown park (Canonical view) but it's actually in the industrial zone (Belinfante view), you will build the wrong road.
  • The Future: The upcoming Electron-Ion Collider (EIC) is like a super-powerful camera that will take 3D pictures of the proton. This paper warns us: Be careful how you interpret the photos. The camera might show a specific pattern of pressure or spin, but without knowing which "blueprint" nature is using, we might misinterpret the internal mechanics of the proton.

Summary

This paper is a "reality check" for physicists. It shows that while we know the total weight and spin of a proton, our understanding of where that weight and spin are located inside the proton depends on a mathematical choice we make.

It's like looking at a spinning galaxy through two different colored glasses. The galaxy spins the same speed either way, but one glass makes the stars look like they are orbiting the center, while the other makes them look like they are spinning in place. Both are valid descriptions, but they tell very different stories about the galaxy's internal structure. The authors have built a model to visualize these two stories side-by-side, helping us prepare for the new, high-definition data coming from the EIC.