scholarly journals Monte Carlo Characterization of Short-Wave Infrared Optical Wavelengths for Biosensing Applications

Author(s):  
K. Budidha ◽  
S. Chatterjee ◽  
M. Qassem ◽  
P. A. Kyriacou
Micromachines ◽  
2020 ◽  
Vol 11 (9) ◽  
pp. 795
Author(s):  
Soumava Ghosh ◽  
Kuan-Chih Lin ◽  
Cheng-Hsun Tsai ◽  
Harshvardhan Kumar ◽  
Qimiao Chen ◽  
...  

Metal-semiconductor-metal photodetectors (MSM PDs) are effective for monolithic integration with other optical components of the photonic circuits because of the planar fabrication technique. In this article, we present the design, growth, and characterization of GeSn MSM PDs that are suitable for photonic integrated circuits. The introduction of 4% Sn in the GeSn active region also reduces the direct bandgap and shows a redshift in the optical responsivity spectra, which can extend up to 1800 nm wavelength, which means it can cover the entire telecommunication bands. The spectral responsivity increases with an increase in bias voltage caused by the high electric field, which enhances the carrier generation rate and the carrier collection efficiency. Therefore, the GeSn MSM PDs can be a suitable device for a wide range of short-wave infrared (SWIR) applications.


2020 ◽  
Vol 13 (9) ◽  
Author(s):  
Tommy Du ◽  
Deependra K. Mishra ◽  
Leonid Shmuylovich ◽  
Andy Yu ◽  
Helena Hurbon ◽  
...  

Sensors ◽  
2021 ◽  
Vol 21 (18) ◽  
pp. 6150
Author(s):  
Emeline Pouyet ◽  
Tsveta Miteva ◽  
Neda Rohani ◽  
Laurence de Viguerie

Hyperspectral reflectance imaging in the short-wave infrared range (SWIR, “extended NIR”, ca. 1000 to 2500 nm) has proven to provide enhanced characterization of paint materials. However, the interpretation of the results remains challenging due to the intrinsic complexity of the SWIR spectra, presenting both broad and narrow absorption features with possible overlaps. To cope with the high dimensionality and spectral complexity of such datasets acquired in the SWIR domain, one data treatment approach is tested, inspired by innovative development in the cultural heritage field: the use of a pigment spectral database (extracted from model and historical samples) combined with a deep neural network (DNN). This approach allows for multi-label pigment classification within each pixel of the data cube. Conventional Spectral Angle Mapping and DNN results obtained on both pigment reference samples and a Buddhist painting (thangka) are discussed.


2021 ◽  
Vol 5 (5) ◽  
pp. 1971-1989
Author(s):  
Sanmy Silveira Lima ◽  
Gabriela Menezes Almeida

O uso da reflectância como meio de caracterização de alvos naturais apresentou significativos avanços na última década. A área de estudo está localizada na Zona da Mata e é caracterizada por altos índices pluviométricos, indicando forte intemperismo e erosão. Os granitóides que compõem essa região, são formados em sua maioria por quartzo, K-feldspato, plagioclásio e biotita. Esses minerais tendem a apresentar comportamento espectral predominantemente transparente no intervalo entre 400 e 2500 nm. As medidas de reflectância foram feitas em 9 amostras obtidas com de sonda de contato portadora de lâmpada halógena com o intuito de capitas as faixas do VNIR (Visible-Near Infrared) e SWIR (Short Wave Infrared). O objetivo deste artigo foi caracterizar os principais plútons da área estudada através da análise mesoscópica de amostras e da curva de reflectância para compreender a influência da composição mineralógica e dos processos físico-químicos atuantes na porção Oeste do Batólito Ipojuca-Atalaia.  


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