scholarly journals JWST near infrared detectors: latest test results

Author(s):  
Erin C. Smith ◽  
Bernard J. Rauscher ◽  
David Alexander ◽  
Brian L. Clemons ◽  
Chuck Engler ◽  
...  
2017 ◽  
Vol 123 (4) ◽  
Author(s):  
Zhiwei Zhang ◽  
Guoqing Miao ◽  
Hang Song ◽  
Dabing Li ◽  
Hong Jiang ◽  
...  

2005 ◽  
pp. 7.3-731-7.3-750
Author(s):  
Lorenzo Colace ◽  
Gaetano Assanto ◽  
Gianlorenzo Masini

2013 ◽  
Vol 1 (39) ◽  
pp. 6184 ◽  
Author(s):  
Manoj K. Jana ◽  
P. Chithaiah ◽  
Banavoth Murali ◽  
S. B. Krupanidhi ◽  
Kanishka Biswas ◽  
...  

Author(s):  
Ralf Ehrenwinkler ◽  
Peter Mosner ◽  
Hermann Karl ◽  
Martin Altenburg ◽  
Marc Maschmann ◽  
...  
Keyword(s):  

2020 ◽  
Vol 132 (1013) ◽  
pp. 074504 ◽  
Author(s):  
Jenna K. C. Freudenburg ◽  
Jahmour J. Givans ◽  
Ami Choi ◽  
Christopher M. Hirata ◽  
Chris Bennett ◽  
...  

Nanomaterials ◽  
2019 ◽  
Vol 9 (12) ◽  
pp. 1771
Author(s):  
Xujie Pan ◽  
Jing He ◽  
Lei Gao ◽  
Handong Li

This paper focuses on the photoelectric properties of heterostructures formed by surface-modified Si (111) and hexagonal, quintuple-layered selenides (Bi2Se3 and Sb2Te3). It was shown that H-passivated Si (111) can form robust Schottky junctions with either Bi2Se3 or Sb2Te3. When back illuminated (i.e., light incident towards the Si side of the junction), both the Bi2Se3/Si and Sb2Te3/Si junctions exhibited significant photovoltaic response at 1030 nm, which is right within the near-infrared (NIR) light wavelength range. A maximum external quantum efficiency of 14.7% with a detection response time of 2 ms for Bi2Se3/Si junction, and of 15.5% with a 0.8 ms response time for the Sb2Te3/Si junction, were achieved. Therefore, utilizing Si constituents as high-pass filters, the Bi2Se3 (Sb2Te3)/Si heterojunctions can serve as monochromatic NIR photodetectors.


Sensors ◽  
2020 ◽  
Vol 20 (2) ◽  
pp. 454 ◽  
Author(s):  
Benjamin Martinez ◽  
Thomas W. Miller ◽  
Azer P. Yalin

We present the development, integration, and testing of an open-path cavity ring-down spectroscopy (CRDS) methane sensor for deployment on small unmanned aerial systems (sUAS). The open-path configuration used here (without pump or flow-cell) enables a low mass (4 kg) and low power (12 W) instrument that can be readily integrated to sUAS, defined here as having all-up mass of <25 kg. The instrument uses a compact telecom style laser at 1651 nm (near-infrared) and a linear 2-mirror high-finesse cavity. We show test results of flying the sensor on a DJI Matrice 600 hexacopter sUAS. The high sensitivity of the CRDS method allows sensitive methane detection with a precision of ~10–30 ppb demonstrated for actual flight conditions. A controlled release setup, where known mass flows are delivered, was used to simulate point-source methane emissions. Examples of methane plume detection from flight tests suggest that isolated plumes from sources with a mass flow as low as ~0.005 g/s can be detected. The sUAS sensor should have utility for emissions monitoring and quantification from natural gas infrastructure. To the best of our knowledge, it is also the first CRDS sensor directly deployed onboard an sUAS.


2013 ◽  
Vol 303-306 ◽  
pp. 573-577
Author(s):  
Min Xu ◽  
Yue Ma ◽  
Shuai Chen

Quality evaluation of agricultural and food products is important for processing, inventory control, and marketing. Fruit surface defects are important quality factors for the jujube industry, especially for high quality jujubes such as Xinjiang red jujube. This paper presents the development and test results of a machine vision system for automatic jujube surface defects detection. Unlike other near-infrared spectrometric approaches, the developed machine vision system uses reflective near-infrared image to evaluate jujube quality by analyzing two-dimensional images. Near-infrared image, vision algorithms and a variety of operational details of the system, including cameras, optics, illumination, and fruit carrier are presented. The complete machine vision system has been built, and the experimental results show that the designed machine vision system is feasible to detect the defects of jujubes.


2011 ◽  
Vol 123 (900) ◽  
pp. 179-186 ◽  
Author(s):  
T. Biesiadzinski ◽  
W. Lorenzon ◽  
R. Newman ◽  
M. Schubnell ◽  
G. Tarlé ◽  
...  

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