Abstract
In this work, the authors present a simplified method for determining proton pressure, based on concepts from statistical mechanics, quantum chromodynamics – specifically asymptotic freedom of quarks – and other well-established physical concepts. The result obtained for the proton pressure was Pa, which is consistent with recently reported experimental data.
Keywords:
Proton pressure; MIT bag model; fermion gas
1. Introduction
Recently, the first measurement of the proton’s internal pressure distribution was published [1], showing it to be the highest known pressure to date, on the order of Pa. This initially surprising result can have its order of magnitude calculated from well-established concepts in statistical mechanics and quark asymptotic freedom [2, 3].
More recently, a theoretical article presented a calculation made using Lattice-QCD [4] that shows the dependency of the proton’s pressure with respect to the distance to the center of the proton , asserting that the maximum pressure obtained is consistent with the experimental result mentioned above..
We will use a very simplified model, which has more of a pedagogical motivation than a theoretical precision. Within the model’s limitations, the theoretical foundations are accurate. In this model, the proton is viewed as a spherical cavity in which constituent quarks are confined but free to move. The hypothesis of quark mobility is based on the fact that at short distances, QCD interaction is weak, so quarks behave almost as free particles. However, as the distance between quarks increases, the interaction rapidly strengthens, leading to confinement. Thus, an approximation would be that within the proton volume, quarks are free particles, but the proton boundaries act as a potential barrier, forcing confinement.
Next, using Fermi-Dirac statistics, we will assume that confined quarks behave as a Fermi gas and derive an expression for calculating proton pressure. We will present the results and discuss the assumed conditions.
2. Proton Modeling: Asymptotic Freedom and the Ideal Gas Assumption
According to the Standard Model, a proton is a baryon composed of 3 quarks – two up and one down. The predominant force between quarks is the strong force, described by Quantum Chromodynamics (QCD). Both quarks and gluons, the mediating particles of the strong force, are assigned charges called color.
To date, no free particle with color charge has been detected, leading to the belief that they are confined within baryons and mesons.
The strong force is powerful enough to keep quarks confined, but at short distances, the phenomenon of asymptotic freedom occurs. The closer the quarks are, the weaker the coupling becomes, and consequently, quarks interact much more weakly.
The QCD coupling constant , shown in Fig. 1, varies with distance , where , and is the momentum scale felt in the interaction, displayed on a logarithmic scale. At short distances, the coupling is weak – asymptotic freedom. At large distances ( fm), the coupling becomes strong, leading to confinement.
Plot of the coupling constant as a function of distance , where , with being the momentum scale probed in the interaction – shown here on a logarithmic scale. At short distances, the coupling is weaker, a property known as asymptotic freedom. The color points correspond to data from decays, jets in deep inelastic scattering, heavy quarkonia, jet shapes in annihilation, fits to the Z-pole, and jet production in proton-proton and proton-antiproton collisions, while the black line is a fit based on Lattice QCD results [5].
Thus, we can consider the approximation that the quarks constituting the proton move as free particles,
The asymptotic freedom regime allows calculations using perturbation theory, and its discovery enabled QCD theory to develop similarly to QED. For the confinement regime, perturbation theory is not applicable, making its theoretical demonstration difficult.
Given this difficulty, several confinement models emerged, including the MIT Bag Model [6]. In this model, the fields describing quarks and gluons are restricted to a specific region called a “bag”. A surface is specified, and it is required that color current does not pass through it. Since both quarks and gluons carry color charge, neither can cross this barrier.
Therefore, inspired in the MIT bag model, we will assume that the proton is a hollow sphere with a hard (impenetrable) surface and inside it there is an ideal gas of free quarks, but we don’t make any claim regarding external QCD vacuum pressure or gluons.
3. Ideal Fermi Gas
We know that quarks are particles governed by Fermi-Dirac statistics, as they have half-integer spin, specifically spin . Thus, in our model, we assume, initially, that the proton consists of a non-relativistic fermion gas. To describe it, we need a partition function as well as the energy for each quantum state. We start with the quantum states of the system.
3.1. Quantum states in a solid sphere
For a particle of mass in a sphere, the eigenfunctions are given by [7]:
where is the normalization constant, are the first order Bessel functions, and with being the -th zero of the Bessel function .
The energy eigenvalues are given by:
where is the radial number and is the orbital angular momentum.
Defining the single particle states as the energy of those states are given by:
Note that the numbers are the same for both flavors, and , changing only their masses. Given that , then , for all .
The way this model is proposed, the space of states is defined for three fermions, consisting of two identical quarks, which are subject to Pauli’s exclusion principle, and one quark. So, we can set one microscopic state of the system as , with Pauli’s constraint that . Then, the energy of this microstate will be
For the next subsection, we shall simplify the notation, dropping the ’s, as in .
3.2. Partition function
For this model we should use the canonical ensemble formalism [7]. Its partition function is given by
where is the sphere radius, is the temperature, and is the energy of state for a quark of flavor . Note that for the two quarks of same flavor () the Pauli exclusion principle requires that . As usual, is the reciprocal of the product of the temperature and the Boltzmann constant, .
We can partially factor the summation in equation 5
The second sum in equation 6 can be re-written in a more convenient way. First, analyzing the condition
The term with can be evaluated as
Then, we work on the first term of equation 7 by factoring it
But since and are dummy indices, we obtain the final form for this term as:
All of these steps make the second summation in equation 6 take this form:
Now, with the first summation of equation 6 and equation 10, we can define the individual partition functions
And finally, the partition function is
where the term in brackets is purely a Fermi–Dirac effect (Pauli correction for the two ’s). Also, it is interesting to note that, as the model assumes that is constant, we can just denote the partition function as , or to simplify, just .
3.3. Pressure from the partition function
From the Helmholtz free energy, related to the partition function as , the pressure can be obtained as:
Since , then
and placing in equation 12:
The dependency comes from the energies . With that, we first get the derivative of a generic term:
Now, for the remaining part of the derivative, we make and do:
Then, substituting the result of equation 15 in equation 14:
Now, generalizing the result from the generic term to the partition function . For any sumation of the form:
we have:
then, dividing both sides by :
where is the mean energy, but in the canonical ensemble , therefore:
Now, recalling equation 13 and that we get:
Since we finally have:
Note that this result is identical to that of a classical monoatomic ideal gas.
4. Pressure Determination
In this model, the internal energy can be considered as the proton’s rest energy:
one could argue that the internal energy would be due to the kinetic energy of the quarks, but it is understood that most of the proton mass() comes from the quarks dynamics, so this assumption is not that absurd.So by Eq. (21), the proton’s internal pressure is:
For the volume, we assume that quarks are confined to a sphere with a radius equal to that of the proton:
Using the proton radius value from Ref. [8] (CODATA 2014) and the proton mass from the same reference:
According to reference [4], the pressure has its maximum in the range , going to zero at . Our very simple model does not have the sophistication to give a “well behaved” pressure dependence in , since from equation 4 one can easily see that the pressure diverges at the origin.
5. Results and Conclusion
We discussed a simplified model for the proton, where, due to quark confinement by the strong force, we consider the quarks to be trapped in a volume defined by a spherical surface. Due to asymptotic freedom at short distances, we treat them as free particles, approximating the proton as a quantum gas of fermions at constant volume.
This model allowed for the calculation of proton pressure, achieving the same order of magnitude as recent experimental results [1].
We assumed a non-relativistic Fermi gas. While quarks could reach high speeds within the proton, the ultra-relativistic case would yield [9] (losing a factor of 2 compared to Eq. 21), not changing the final order of magnitude.
This result is significant because basic physical concepts yield good agreement with recent experimental data. Achieving the same order of magnitude validates the approximations and demonstrates that important information can be extracted from simple models.
Data Availability
The entire dataset supporting the results of this study is published in the article.
References
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- [3] H.D. Politzer, Physical Review Letters 30, 1346 (1973).
- [4] P.E. Shanahan and W. Detmold, Physical Review Letters 122, 072003 (2019).
- [5] M.R. Pennington, J. Phys. G: Nucl. Part. Phys.43, 054001 (2016).
- [6] A. Chodos, R.L. Jaffe, K. Johnson, C.B. Thorn and V.F. Weisskopf, Physical Review D 9, 3471 (1974).
- [7] R.K. Pathria and P.D. Beale, Statistical mechanics (Elsevier, Amsterdam, 2011), 3 ed.
- [8] M. Tanabashi, K. Hagiwara, K. Hikasa, K. Nakamura, Y. Sumino, F. Takahashi, J. Tanaka, K. Agashe, G. Aielli, C. Amsler et al. (Particle Data Group), Physical Review D 98, 030001 (2018).
- [9] W. Greiner, L. Neise, H. Stöcker and D. Rischke, Thermodynamics and statistical mechanics (Springer-Verlag, New York, 1995).
Edited by
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Editor-in-Chief:
Marcello Ferreira https://orcid.org/0000-0003-4945-3169


