Velocity dispersion is the standard deviation of velocities about their mean. Its tensor form records anisotropy, while a line-of-sight measurement combines intrinsic kinematics with projection and observational weighting.
The velocity ellipsoid represents the positive velocity covariance tensor by its orthogonal principal axes and eigenvalue square roots. The uncentered second-moment tensor differs from covariance when a population streams. Vanishing mixed second moments align the second-moment ellipsoid with the chosen frame; for pure azimuthal streaming in a phase-mixed axisymmetric model, the off-diagonal covariance also vanishes.
For a non-streaming spherical tracer population, the line of sight makes angle with the Galactocentric radial direction. The projected velocity dispersion is
where is one tangential variance and is the velocity-anisotropy parameter. At a fixed radius, averaging with the observational angular weights gives , where .
For tracers sampled uniformly on a Galactocentric shell of radius , with the Sun at radius , the correction in the heliocentric projection of a spherical velocity dispersion is
The limiting value at is ; it tends to as and to at large radius. Uniform heliocentric solid angle at fixed instead gives exactly. Specify the selection measure when applying the correction.
For spherical radial dispersion and total two-component tangential dispersion , the velocity-anisotropy parameter is
Positive values are radially biased, zero is isotropic, and negative values are tangentially biased.

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Velocity dispersion is a measure of the range of velocities within a group of objects, such as stars in a galaxy or galaxies in a cluster. It quantifies how much the velocities of the objects deviate from the average velocity of the group. In a more technical sense, it is defined as the standard deviation of the velocities of the objects in the sample. In astrophysics, velocity dispersion is an important metric because it provides insights into the dynamics and mass distribution of celestial bodies.