Geometric preparation
Let be a uniformly distributed unit vector in a -dimensional Euclidean spatial space, and the orthogonal projector onto a fixed -dimensional subspace, . The squared projected fraction is
Uniformity is a preparation assumption. In a scattering application the interaction, incoming state, and detector acceptance determine whether that assumption is justified. The subspaces here are ordinary spatial directions within the single nested physical manifold.
Distribution and moments
Take independent standard real Gaussian coordinates . Their joint density is rotation invariant, so is uniform on the unit sphere. In a basis adapted to , put
and are independent gamma variables of common scale and shapes , . Change variables to and , whose Jacobian is . Their density factors into a gamma density for and
Integration gives
Here . The beta-integral formula also holds for real . Thus a magnitude fraction has , which generally differs from . The endpoint cases are deterministic.
Beam-relative example in six ordinary spatial dimensions
Suppose a beam direction lies within the observer's three-dimensional spatial subspace of an electron's six dimensions. Its orthogonal spatial complement has dimensions. Two of them lie in the observer's transverse plane and three are perpendicular to the observer's subspace. If the transverse direction is isotropic in that five-dimensional space, the fraction perpendicular to the observer's subspace has
The electron has six equivalent ordinary spatial dimensions. The grouping above is relative to the beam and observer, with no inherent electron split. The result concerns squared transverse momentum under the specified preparation. It supplies neither a scattering rate nor an energy threshold. Opposing momentum components can balance within a multi-particle event even when each has a nonzero perpendicular component.
Projected mass shell
If a particle satisfies the relativistic mass shell in the containing spatial sector, decompose its momentum relative to the observer as . Orthogonality gives
An observer reconstruction using the full particle energy and only would therefore assign
The qualification that is the full particle energy matters: a partial energy deposit has its own detector model. This equation is kinematic; whether a process populates requires its interaction.
Verification and related
spectral_analysis_checks.py checks beta moments by quadrature, the isotropic Gaussian construction, the special cumulative distribution, and the projected mass shell under rotations and changes of observer frame.
- Spectral analysis tools — navigation and scope.