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Application: Near-Infrared (NIR) and Short wave Infrared (SWIR) Spectroscopy Using InGaAs Linear Arrays and Detectors


Indium Gallium Arsenide (InGaAs) is the most common material used in infrared spectroscopy for studying light in the wavelength range of 0.9 to 1.7 microns. Goodrich (Sensors Unlimited, Inc.) offers both InGaAs cameras and linear arrays for OEM manufacturing that respond to three different IR spectroscopy wavelength bands: 0.9 to 1.7 µm, 1.1 to 2.2 µm, and 1.3 to 2.6 µm. Like silicon, InGaAs detectors are usually cooled thermoelectrically or cryogenically to allow for long exposure data acquisition. Photoluminescence, Raman Spectroscopy, Laser Diode Characterization, and Fluorescence are among the most common infrared spectroscopy applications that require a high sensitivity detector with low noise in the NIR and SWIR.


InGaAs linear detectors are the widely used for shortwave infrared spectroscopic applications. The linear arrays can be ordered in extended wavelengths.
Typically, using mirrors and a diffractor, a spectrometer directs light from a source into a sensor, here an InGaAs linear array, that detects the photons and provides the user with IR spectroscopy information.

Innovative research and production of InGaAs material with high quantum efficiency (QE) and low dark current has made Goodrich the world leading supplier of linear photodiode arrays for IR spectroscopy camera systems. Industry demand has driven the development of many different linear arrays and cameras. For example, Goodrich has produced an uncooled, high speed linear focal plane array (FPA) camera capable of reading out 47,000 lines/second for an alternative to Fourier Transform Near Infrared (FTNIR) spectroscopy. For low light level, high sensitivity, high resolution applications, SUI offers many options including a 500 micron tall (25 micron pitch) array. Whatever your near or short wave infrared spectroscopy application is, SUI can provide the solution.

Contact Goodrich to see how SWIR Imaging can meet your needs!

 

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