Understanding spectrometer signal-to-noise ratio

John Gilmore, Hamamatsu Corporation
June 11, 2020

About this webinar

Learn why one of the most important parameters when selecting, and implementing a spectrometer is the signal-to-noise ratio (SNR). While the definition of SNR varies greatly within the photonics industry, this course defines a commonly used methodology and gives practical examples of the same.

Topics of presentation:

This course will analyze each opto-electronic noise source individually, their origin and impact on spectroscopy measurements. We will also show how optical imperfections, such as stray light, can degrade SNR. Apply SNR to absorption spectra, showing its importance yet often misinterpreted findings.

Engineers and scientists who want to directly compare manufacturers and technology platforms will benefit from this course.

About the presenter

John D. Gilmore has been characterizing leading-edge photonic devices for over three decades. He has developed sophisticated test and measurement capabilities, enabling precise characterization of image sensors and spectrometers. In addition, he has vast knowledge of the operation, optimization, and practical use of photonic devices, with particular emphasis on image sensors, spectrometers, and Raman modules. He received his B.S. degree in electronic engineering technology (EET) from Capital Institute of Technology, Laurel, Md., in 1986, and received his M.S. degree in electrical engineering with a concentration in solid state devices and material processing from the New Jersey Institute, Newark, N.J., in 1993. He joined Hamamatsu Corp. in September of 1986 and is presently the spectrometer business development manager. He is currently involved with the development of application-specific inspection equipment, general spectrometer marketing, and advanced field technical support.

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