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Remote chemical sensing with quantum cascade lasers

机译:量子级联激光器的远程化学感应

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摘要

A trailer based sensor system has been developed for remote chemical sensing applications. The sensor uses quantum cascade lasers (QCL) that operate in the long wave infrared. The QCL is operated continuous wave, and its wavelength is both ramped over a molecular absorption feature and frequency modulated. Lock-in techniques are used to recover weak laser return signals. Field experiments have monitored ambient water vapor and small quantities of nitrous oxide, tetrafluoroethane (R134a), and hydrogen sulfide released as atmospheric plumes. Round trip path lengths up to 10 km were obtained using a retroreflector. Atmospheric turbulence was found to be the dominating noise source. It causes intensity fluctuations in the received power, which can significantly degrade the sensor performance. Unique properties associated with QCLs enabled single beam normalization techniques to be implemented thus reducing the impact that turbulence has on experimental signal to noise. Weighted data averaging was additionally used to increase the signal to noise of data traces. Absorbance sensitivities as low as ~1x10~(-4) could be achieved with 5 seconds of data averaging, even under high turbulence conditions.
机译:已经开发了基于拖车的传感器系统,用于远程化学传感应用。该传感器使用在长波红外中运行的量子级联激光器(QCL)。 QCL是连续波,其波长在分子吸收特征上倾斜并且被频率调制。锁定技术用于恢复微弱的激光返回信号。现场实验监测了周围的水蒸气以及少量作为大气羽流释放的一氧化二氮,四氟乙烷(R134a)和硫化氢。使用后向反射器可实现长达10 km的往返路径长度。发现大气湍流是主要的噪声源。这会导致接收功率的强度波动,这可能会大大降低传感器性能。与QCL相关的独特属性使单束归一化技术得以实施,从而减少了湍流对实验信噪比的影响。加权数据平均还用于增加数据迹线的信噪比。即使在高湍流条件下,平均5秒的数据也可以实现低至〜1x10〜(-4)的吸收灵敏度。

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