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In physics, the mean free path is the average distance travelled by a moving particle (such as an atom, a molecule, a photon) between successive impacts (collisions), which modify its direction or energy or other particle properties.

Derivation

Figure 1: Slab of target

Imagine a beam of particles being shot through a target, and consider an infinitesimally thin slab of the target (Figure 1). The atoms (or particles) that might stop a beam particle are shown in red. The magnitude of the mean free path depends on the characteristics of the system the particle is in:

$\ell =(\sigma n)^{-1},$

Where $\ell$ is the mean free path, n is the number of target particles per unit volume, and $\sigma$ is the effective cross sectional area for collision.

The area of the slab is $L^{2}$ and its volume is $L^{2}dx$. The typical number of stopping atoms in the slab is the concentration n times the volume, i.e., $nL^{2}dx$. The probability that a beam particle will be stopped in that slab is the net area of the stopping atoms divided by the total area of the slab.

$P(\mathrm {stopping\ within\ d} x)={\frac {\mathrm {Area_{atoms}} }{\mathrm {Area_{slab}} }}={\frac {\sigma nL^{2}\,\mathrm {d} x}{L^{2}}}=n\sigma \,\mathrm {d} x$

where $\sigma$ is the area (or, more formally, the "scattering cross-section") of one atom.

The drop in beam intensity equals the incoming beam intensity multiplied by the probability of the particle being stopped within the slab

$dI=-In\sigma dx$

This is an ordinary differential equation

${\frac {dI}{dx}}=-In\sigma \ {\stackrel {\mathrm {def} }{=}}\ -{\frac {I}{\ell }}$

whose solution is known as Beer-Lambert law and has the form $I=I_{0}e^{-x/\ell }$, where x is the distance travelled by the beam through the target and I₀ is the beam intensity before it entered the target; ℓ is called the mean free path because it equals the mean distance traveled by a beam particle before being stopped. To see this, note that the probability that a particle is absorbed between x and x + dx is given by

$dP(x)={\frac {I(x)-I(x+dx)}{I_{0}}}={\frac {1}{\ell }}e^{-x/\ell }dx.$

Thus the expectation value (or average, or simply mean) of x is

$\langle x\rangle \ {\stackrel {\mathrm {def} }{=}}\ \int _{0}^{\infty }xdP(x)=\int _{0}^{\infty }{\frac {x}{\ell }}e^{-x/\ell }dx=\ell$

The fraction of particles that are not stopped (attenuated) by the slab is called transmission $T={\frac {I}{I_{0}}}=e^{-x/\ell }$ where x is equal to the thickness of the slab x = dx.

Mean free path in kinetic theory

In kinetic theory the mean free path of a particle, such as a molecule, is the average distance the particle travels between collisions with other moving particles. The formula $\ell =(n\sigma )^{-1},$ still holds for a particle with a high velocity relative to the velocities of an ensemble of identical particles with random locations. If, on the other hand, the velocities of the identical particles have a Maxwell distribution, the following relationship applies:

$\ell =({\sqrt {2}}\,n\sigma )^{-1}.\,$

and it may be shown that the mean free path, in meters, is:

$\ell ={\frac {k_{\rm {B}}T}{{\sqrt {2}}\pi d^{2}p}}$

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Following table lists some typical values for air at different pressures and at room temperature.

Vacuum range	Pressure in hPa (mbar)	Molecules / cm3	Molecules / m3	Mean free path
Ambient pressure	1013	2.7 × 1019	2.7 × 1025	68 nm
Low vacuum	300 – 1	1019 – 1016	1025 – 1022	0.1 – 100 μm
Medium vacuum	1 – 10−3	1016 – 1013	1022 – 1019	0.1 – 100 mm
High vacuum	10−3 – 10−7	1013 – 109	1019 – 1015	10 cm – 1 km
Ultra high vacuum	10−7 – 10−12	109 – 104	1015 – 1010	1 km – 105 km
Extremely high vacuum	<10−12	<104	<1010	>105 km

Mean free path in radiography

Mean free path for photons in energy range from 1 keV to 20 MeV for Elements Z = 1 to 100. Based on data from. The discontinuities are due to low density of gas elements. Six bands correspond to neighborhoods of six noble gases. Also shown are locations of absorption edges.

In gamma-ray radiography the mean free path of a pencil beam of mono-energetic photons is the average distance a photon travels between collisions with atoms of the target material. It depends on the material and the energy of the photons:

$\ell =\mu ^{-1}=((\mu /\rho )\rho )^{-1},$

where μ is the linear attenuation coefficient, μ/ρ is the mass attenuation coefficient and ρ is the density of the material. The Mass attenuation coefficient can be looked up or calculated for any material and energy combination using the NIST databases

In X-ray radiography the calculation of the mean free path is more complicated, because photons are not mono-energetic, but have some distribution of energies called spectrum. As photons move through the target material they are attenuated with probabilities depending on their energy, as a result their distribution changes in process called Spectrum Hardening. Because of Spectrum Hardening the mean free path of the X-ray spectrum changes with distance.

Sometimes one measures the thickness of a material in the number of mean free paths. Material with the thickness of one mean free path will attenuate 37% (1/e) of photons. This concept is closely related to Half-Value Layer (HVL); a material with a thickness of one HVL will attenuate 50% of photons. A standard x-ray image is a transmission image, a minus log of it is sometimes referred as number of mean free paths image.

Mean free path in particle physics

In particle physics the concept of the mean free path is not commonly used, being replaced by the similar concept of attenuation length. In particular, for high-energy photons, which mostly interact by electron-positron pair production, the radiation length is used much like the mean free path in radiography.

Mean free path in nuclear physics

Independent particle models in nuclear physics require the undisturbed orbiting of nucleons within the nucleus before they interact with other nucleons. Blatt and Weisskopf, in their 1952 textbook "Theoretical Nuclear Physics" (p. 778) wrote "The effective mean free path of a nucleon in nuclear matter must be somewhat larger than the nuclear dimensions in order to allow the use of the independent particle model. This requirement seems to be in contradiction to the assumptions made in the theory ... We are facing here one of the fundamental problems of nuclear structure physics which has yet to be solved." (quoted by Norman D. Cook in "Models of the Atomic Nucleus" Ed.2 (2010) Springer, in Chapter 5 "The Mean Free Path of Nucleons in Nuclei").

Mean free path in optics

If one takes a suspension of non light absorbing particles of diameter d with a volume fraction Φ, the mean free path of the photons is:

$l={\frac {2d}{3\Phi Q_{s}}}$

where Q_s is the scattering efficiency factor. Q_s can be evaluated numerically for spherical particles thanks to the Mie theory calculation

Mean free path in acoustics

In an otherwise empty cavity, the mean free path of a single particle bouncing off the walls is:

$l={\frac {4V}{S}}$

where V is volume of the cavity and S is total inside surface area of cavity. This relation is used in the derivation of the Sabine equation in acoustics, using a geometrical approximation of sound propagation.

Examples

A classic application of the mean free path is to estimate the size of atoms or molecules. Another important application is in estimating the resistivity of a material from the mean free path of its electrons.

For example, for sound waves in an enclosure, the mean free path is the average distance the wave travels between reflections off the enclosure's walls.

In aerodynamics, the mean free path is in the same order of magnitude as the shockwave thickness at mach numbers greater than one.

See also

• Scattering theory
• Vacuum
• Knudsen number
• Optics

References

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External links

• Gas Dynamics Toolbox Calculate mean free path for mixtures of gases using VHS model