Acquired Polarization in Fundamental Symmetry Experiments

Abstract

One interesting class of fundamental symmetry violation tests involves the measurement of low energy neutron transmission through a thick target as projectile/target spin orientations are changed. As the neutron beam propagates through a target, certain components are preferentially absorbed by nuclear resonances. This induces regenerative effects in thick targets, known as the acquired polarization effect, which complicate the interpretation of transmission measurements. We focus on the role that nuclear resonance spectroscopy plays in beam modification. We determine three basic results. First, with known resonance parameters for spin 1/2 targets 57Fe, 102Rh, 111Cd, 113Cd, 117Sn, and 203 Tl, and spin 7/2 target 139La, the relative sizes of the various terms are determined, including the values of the cross sections, transmission percentages, the size of the transmission effect, and the percentage of the transmission effect caused by acquired polarization. Second, the effect of imperfect target polarization reversal on the value of the transmission effect is determined in the case of 113Cd. It is found that target orientation inefficiencies as small as 3% will mimic a parity violation. Third, the effect of the depolarization term on the relative size of the acquired polarization is explored.

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Document Details

Document Type
Technical Report
Publication Date
May 13, 1991
Accession Number
ADA245646

Entities

People

  • Paul A. Larson

Organizations

  • United States Naval Academy

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Computer Programs
  • Depolarization
  • Differential Equations
  • Elementary Particles
  • Magnetic Fields
  • Measurement
  • Neutron Beams
  • Neutrons
  • Nuclear Physics
  • Nuclear Resonance
  • Nuclei
  • Orientation (Direction)
  • Quantum Properties
  • Resonance
  • Spin States
  • Symmetry
  • United States Naval Academy

Fields of Study

  • Physics

Readers

  • Computational Modeling and Simulation
  • Materials Science and Engineering.
  • Thin Film Deposition Science.