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Published on: December 3, 2013
High precision magnetic linear dichroism measurements in (Ga,Mn)As
1Faculty of Mathematics and Physics, Charles University in Prague, Ke Karlovu 3, 121 16 Prague 2, Czech Republic. nada.tesarova@mff.cuni.cz
The Review of Scientific Instruments
|January 3, 2013
Summary
Second-order magneto-optical effects like magnetic linear dichroism (MLD) are challenging to measure. This study compares techniques, finding polarization monitoring during magnetization rotation most reliable for studying materials like (Ga,Mn)As.
Area of Science:
- Condensed matter physics
- Materials science
- Optics
Background:
- First-order magneto-optical Kerr effects (MOKEs) are widely used for magnetic material investigation.
- Second-order (quadratic) magneto-optical (MO) effects are rarely utilized due to small signal magnitudes and difficulty in separating them from artifacts.
- A giant quadratic MO effect, magnetic linear dichroism (MLD), was discovered in (Ga,Mn)As in 2005.
Purpose of the Study:
- To compare four experimental techniques for measuring MLD and distinguishing it from artifacts.
- To establish a reliable method for measuring second-order MO effects.
- To investigate the MLD spectra of (Ga,Mn)As.
Main Methods:
- Comparison of four distinct experimental techniques for MLD measurement.
- Utilizing polarization monitoring of reflected light.
- Rotating sample magnetization with an external magnetic field to separate signals.
Main Results:
- The most reliable MLD measurements are achieved by monitoring reflected light polarization during magnetization rotation.
- MLD spectra of (Ga,Mn)As were measured across a broad spectral range (0.1 eV to 2.7 eV).
- MLD was found to have a magnitude comparable to polar MOKE signals in (Ga,Mn)As.
Conclusions:
- Monitoring reflected light polarization during magnetization rotation is a robust method for measuring MLD.
- This technique facilitates the study of in-plane magnetization dynamics in materials like (Ga,Mn)As.
- Second-order MO effects, like MLD, offer valuable insights comparable to established first-order effects.

