Consider a parent atomic nucleus at rest. Write its signed nuclear polarization along a fixed axis as , where is its maximal spin component. Let be the angle of the emitted Electron momentum to that axis and let . Use for the parity operator, so it is not confused with .
For an axially symmetric leading-dipole model, retain a constant and the term linear in the polarization vector . Rotational symmetry makes the directional term proportional to . Define its dimensionless coefficient as . At fixed Electron energy the relative intensity and normalized probability density function per solid angle are therefore
The factor is the conventional separation of the speed dependence; rotational symmetry alone does not determine that dependence or . The coefficient contains the decay dynamics. This leading model omits higher angular terms and detailed recoil and radiative effects. A partially oriented higher-spin ensemble can also have alignment that is not specified by its vector nuclear polarization alone.
The unit-integral condition follows without any model of a detector:
Thus has unit angular average, while the probability density function in the polar angle alone contains the Jacobian determinant factor:
In particular, itself is neither a normalized probability density function in nor a detector count. Positivity on gives .
Under full spatial reflection, but . The latter follows already for orbital angular momentum from ; spin has the same axial vector transformation. Hence is a pseudoscalar, and . If parity conservation held for this model, equal probabilities for the inverted process would force . Conversely, in an unpolarized sample proves nothing about .
Integrating over the two hemispheres gives a useful original check:
Choose , , and , so . Then the forward and backward hemisphere probabilities are and , and their counting asymmetry is . These are chosen teaching values, not measured values from the Wu experiment. At a single energy, the angular shape determines the product ; it cannot separately determine without a polarization calibration.
Figure 1.
Chosen angular probabilities and detector-efficiency cancellation
. Original model with . The angular probability is distinct from a detector count; opposite hemispheres average the cosine to . Unequal efficiencies and exposures distort individual detector ratios, while a reversal cross-ratio recovers the chosen hemispheric asymmetry. All counts are constructed. Details.
Consider a teaching extension with two opposite detectors, labelled and by fixed laboratory directions, and two preparation states with equal and opposite nuclear polarization. This is an original two-detector model; the historical Wu experiment used a fixed internal Electron counter with reversal.[ref] Let describe the exposure in each state and the stable detection efficiency of detector .
For matched opposite acceptances, write their common mean absolute cosine as . The four expected positive counts are
The same-state ratios each retain the unequal detection efficiencies:
Dividing these ratios gives the spin-reversal cross-ratio for beta decay:
Both the exposure ratio and the detection efficiency ratio cancel. The positive square root is essential: positive expected counts and make positive.
For the chosen , opposite hemispheres give , hence . Choose , , , and , with their common acceptance factor absorbed into . The four expected counts in the displayed order are , , , and . Thus
The first raw detector ratio exceeds one despite negative : detector imbalance can overwhelm the physical directional preference. Reversal separates the stable imbalance from the term that changes sign.
A detector collects a range of solid angles, not a single direction. If its nonnegative angular response is , define
Integrating the polarized beta-decay angular distribution gives a count proportional to . For a uniform forward cone with half-angle , put . Direct integration gives
The opposite cone has mean cosine . A hemisphere gives ; a narrow cone tends to . Hence a spin-reversal cross-ratio for beta decay measures , and an acceptance correction is needed to obtain .
With unequal angular responses, let the two laboratory mean cosines be and , including their signs. Then the actual expectation is
which reduces to the simple square only when . The cancellation of stable multiplicative detection efficiencies survives, but their angular shapes still matter. An energy-integrated response likewise averages with the accepted spectrum; a mean speed cannot in general be substituted independently of acceptance.
Additive backgrounds, unequal polarization magnitudes or detection efficiencies that change on reversal do not have the assumed factorization. For example, a reversal-dependent efficiency cross-ratio multiplies by . Background subtraction also creates statistical complications: positive expected signal counts are assumed in this derivation, whereas finite samples with Poisson distributions can contain zero counts. Taking square roots of negative background-subtracted counts is not a valid estimator. These limits explain why reversal and independent preparation checks belong together.

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