statistics

landau distribution

The strongly asymmetric distribution of energy loss by a charged particle in a thin absorber.
7 related articles

Description

The Landau distribution describes the probability of energy loss when a charged particle passes through a thin layer of matter. Unlike symmetric distributions, it has a long tail extending to high energy losses, reflecting rare but large energy transfers. It is strongly asymmetric, with a peak at low energy loss and a slow decay on the high-energy side.

History

Derived by Lev Landau in 1944 in his paper on the energy loss of fast particles in matter.

How it works

The distribution arises from the statistical fluctuations in the number and energy of collisions a particle undergoes. For thin absorbers, the most probable energy loss is small, but occasional large transfers (e.g., from knock-on electrons) create the tail. The distribution is defined by a location parameter (most probable energy loss) and a scale parameter, but has no finite mean or variance.

In practice

Used in particle physics and detector design to model energy deposition in thin sensors, such as silicon trackers, and to correct for energy loss in calorimetry.

Fun fact

Because the Landau distribution has an infinite mean, the average energy loss is not well-defined; only the most probable value is stable.

Related articles · 7

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Mirrors of Detectors: The Dance of Defects in Glass
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Stellar Tuning: Why Gravity Suddenly Changes Its Character
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In the crystal HfTe5, electrons behave almost like light: their mass is so small that they obey the laws of relativity. If you place such a crystal in a strong magnetic field, the electrons start to circle in tiny orbits. Their energy then changes not smoothly but in steps, like floors in a building.