Abstract: Frequency registration deviations occurring during a scan of a frequency or wavelength range by a spectroscopic analysis system can be corrected using passive and/or active approaches. A passive approach can include determining and applying mathematical conversions to a recorded field spectrum. An active approach can include modifying one or more operating parameters of the spectroscopic analysis system to reduce frequency registration deviation.

Abstract: The present disclosure relates to a computer-implemented method for forecasting calibration spectra including a step of providing a machine learning model trained using historical calibration data corresponding to different gas species at different pressures. The computer-implemented method also includes steps of performing a calibration scan of one gas species at one pressure using an analyzer and generating calibration curves for the analyzer corresponding to one or multiple gas species at multiple pressures using the machine learning model and the calibration scan. Thereafter, a spectrum is obtained using the analyzer, and a concentration measurement is generated using the spectrum and at least one of the calibration curves.

Abstract: A light source module may include a base with a support feature protruding from a surface of the base and securing a light source to direct radiation away from the surface. A lens cells may be attached proximate to the surface, optionally by being secured within a sleeve that is attached at one end to the surface. A multi-conductor part may include electrical conductors and a base temperature sensor that contacts the base. The base temperature sensor may be electrically connected to at least one of the plurality of conductive elements and further connected to an optical ignition safety protection system configured to interrupt current to the light source if the base temperature sensor indicates that a temperature of the light source is outside of a safe range.

Abstract: The present disclosure relates to a computer-implemented method for forecasting calibration spectra including a step of providing a machine learning model trained using historical calibration data corresponding to different gas species at different pressures. The computer-implemented method also includes steps of performing a calibration scan of one gas species at one pressure using an analyzer and generating calibration curves for the analyzer corresponding to one or multiple gas species at multiple pressures using the machine learning model and the calibration scan. Thereafter, a spectrum is obtained using the analyzer, and a concentration measurement is generated using the spectrum and at least one of the calibration curves.

Abstract: A light source module may include a base with a support feature protruding from a surface of the base and securing a light source to direct radiation away from the surface. A lens cells may be attached proximate to the surface, optionally by being secured within a sleeve that is attached at one end to the surface. A multi-conductor part may include electrical conductors and a base temperature sensor that contacts the base. The base temperature sensor may be electrically connected to at least one of the plurality of conductive elements and further connected to an optical ignition safety protection system configured to interrupt current to the light source if the base temperature sensor indicates that a temperature of the light source is outside of a safe range.

Abstract: Frequency registration deviations occurring during a scan of a frequency or wavelength range by a spectroscopic analysis system can be corrected using passive and/or active approaches. A passive approach can include determining and applying mathematical conversions to a recorded field spectrum. An active approach can include modifying one or more operating parameters of the spectroscopic analysis system to reduce frequency registration deviation.