The source-sample stage of the new two-dimensional angular correlation of annihilation radiation spectrometer at Technische Universität München

2013 ◽  
Vol 84 (4) ◽  
pp. 043905 ◽  
Author(s):  
Hubert Ceeh ◽  
Josef Andreas Weber ◽  
Michael Leitner ◽  
Peter Böni ◽  
Christoph Hugenschmidt
Keyword(s):  
Angular Correlation ◽  
Annihilation Radiation ◽  
Two Dimensional ◽  
Source Sample

Vacancy defects in photoexcited GaAs studied by positron two-dimensional angular correlation of annihilation radiation

1994 ◽  
Vol 50 (15) ◽  
pp. 11247-11250 ◽  
Author(s):  
J. P. Peng ◽  
K. G. Lynn ◽  
M. T. Umlor ◽  
D. J. Keeble ◽  
D. R. Harshman
Keyword(s):  
Angular Correlation ◽  
Annihilation Radiation ◽  
Two Dimensional ◽  
Vacancy Defects

What Else for Improvement of Reconstructed Densities?

2010 ◽  
Vol 666 ◽  
pp. 147-150
Author(s):  
M. Biasini ◽  
G. Kontrym-Sznajd
Keyword(s):  
Angular Correlation ◽  
Series Expansion ◽  
Real Data ◽  
Annihilation Radiation ◽  
Two Dimensional ◽  
Back Projection ◽  
Filtered Back Projection ◽  
Transform Methods ◽  
Experimental Noise ◽  
Algebraic Technique

Reconstruction techniques, belonging to two different categories (series expansion and transform methods), are compared with regard to their applicability to line projections of a model density. It is demonstrated that in the case of this model the algebraic technique gives much better results than the filtered back projection (FBP) algorithm. However, it could not be a case for real data where a region of densities to be considered is very large comparing to the modelled one. In this connection we propose a new way of dealing with two-dimensional (2D) angular correlation of annihilation radiation (ACAR) data. Such a treatment, proposed for all reconstruction techniques, allows to improve reconstructed densities and filters the experimental noise.

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