- Tytuł:
- Signal processing for time resolved photoluminescence spectroscopy
- Autorzy:
-
Grodecki, Kacper
Murawski, Krzysztof
Rutkowski, Jarosław
Kowalewski, Andrzej
Sobieski, Jan - Powiązania:
- https://bibliotekanauki.pl/articles/1818197.pdf
- Data publikacji:
- 2021
- Wydawca:
- Polska Akademia Nauk. Stowarzyszenie Elektryków Polskich
- Tematy:
-
epitaxy
HgCdTe
photoluminescence
time-resolved photoluminescence - Opis:
- Accurate determination of material parameters, such as carrier lifetimes and defect activation energy, is a significant problem in the technology of infrared detectors. Among many different techniques, using the time resolved photoluminescence spectroscopy allows to determine the narrow energy gap materials, as well as their time dynamics. In this technique, it is possible to observe time dynamics of all processes in the measured sample as in a streak camera. In this article, the signal processing for the above technique for Hg1-xCdxTe with a composition x of about 0.3 which plays an extremely important role in the mid-infrared is presented. Machine learning algorithms based on the independent components analysis were used to determine components of the analyzed data series. Two different filtering techniques were investigated. In the article, it is shown how to reduce noise using the independent components analysis and what are the advantages, as well as disadvantages, of selected methods of the independent components analysis filtering. The proposed method might allow to distinguish, based on the analysis of photoluminescence spectra, the location of typical defect levels in HgCdTe described in the literature.
- Źródło:
-
Opto-Electronics Review; 2021, 29, 3; 91--96
1230-3402 - Pojawia się w:
- Opto-Electronics Review
- Dostawca treści:
- Biblioteka Nauki
Artykuł