Mid-Wavelength Infrared nBn for HOT Detectors
نویسندگان
چکیده
منابع مشابه
Active wavelength selection for mixture identification with tunable mid-infrared detectors.
This article presents a wavelength selection framework for mixture identification problems. In contrast with multivariate calibration, where the mixture constituents are known and the goal is to estimate their concentration, in mixture identification the goal is to determine which of a large number of chemicals is present. Due to the combinatorial nature of this problem, traditional wavelength ...
متن کاملMid-Infrared Tunable Resonant Cavity Enhanced Detectors
Mid-infrared detectors that are sensitive only in a tunable narrow spectral band are presented. They are based on the Resonant Cavity Enhanced Detector (RCED) principle and employing a thin active region using IV-VI narrow gap semiconductor layers. A Fabry-Pérot cavity is formed by two mirrors. The active layer is grown onto one mirror, while the second mirror can be displaced. This changes the...
متن کاملChaotic light at mid-infrared wavelength
The onset of nonlinear dynamics and chaos is evidenced in a mid-infrared distributed feedback quantum cascade laser both in the temporal and frequency domains. As opposed to the commonly observed route to chaos in semiconductor lasers, which involves undamping of the laser relaxation oscillations, quantum cascade lasers first exhibit regular self-pulsation at the external cavity frequency befor...
متن کاملMid-infrared wavelength conversion from As2Se3 microwires
We demonstrate all-fiber far-detuned and widely tunable mid-infrared wavelength conversion using As2Se3 microwires. In a first experiment, an idler is generated and tuned from 2.351 to >2.500 μm from four-wave mixing in a 0.5 cm long microwire. In a second experiment, tunable parametric sidebands are generated via modulation instability in a 10 cm long microwire. The resulting parametric freque...
متن کاملActive wavelength selection for mixture analysis with tunable infrared detectors
This article presents an active wavelength selection algorithm for multicomponent analysis with tunable infrared sensors. Traditional techniques for wavelength selection operate off-line; as a result, the resulting feature subset is fixed and only optimal for the specific mixtures and noise levels in the training set. To address this limitation, the proposed algorithm interleaves the wavelength...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Electronic Materials
سال: 2014
ISSN: 0361-5235,1543-186X
DOI: 10.1007/s11664-014-3161-y