We report here on the use of the Allan deviation plot to analyze the long-term stability of a quartz enhanced photoacoustic (QEPAS) gas sensor. The Allan plot provides information about the optimum averaging time for the QEPAS signal and allows the prediction of its ultimate detection limit. The Allan deviation can also be used to determine the main sources of noise coming from the individual components of the sensor. Quartz tuning fork thermal noise dominates for integration times up to 275 s, whereas at longer averaging times, the main contribution to the sensor noise originates from laser power instabilities.
Allan deviation plot as a tool for quartz Enhanced Photoacoustic Sensors Noise Analysis / Giglio, Marilena; Patimisco, Pietro; Sampaolo, Angelo; Scamarcio, Gaetano; Tittel, Frank K; Spagnolo, Vincenzo Luigi. - In: IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL. - ISSN 0885-3010. - 63:4(2016), pp. 555-560. [10.1109/TUFFC.2015.2495013]
Allan deviation plot as a tool for quartz Enhanced Photoacoustic Sensors Noise Analysis
Giglio, Marilena;Patimisco, Pietro;SPAGNOLO, Vincenzo Luigi
2016-01-01
Abstract
We report here on the use of the Allan deviation plot to analyze the long-term stability of a quartz enhanced photoacoustic (QEPAS) gas sensor. The Allan plot provides information about the optimum averaging time for the QEPAS signal and allows the prediction of its ultimate detection limit. The Allan deviation can also be used to determine the main sources of noise coming from the individual components of the sensor. Quartz tuning fork thermal noise dominates for integration times up to 275 s, whereas at longer averaging times, the main contribution to the sensor noise originates from laser power instabilities.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
