Optimization of nano photonic sensors and detectors by information theoretic principles

Karan D. Mohan; Mohammad A. Khan; Amin N. Dharamsi

doi:10.1117/12.629792

Abstract

An information theoretic approach to maximizing the efficacy of optical sensing devices is presented. The principles used and the results obtained are applicable on a wide range of scales, including those in nano photonics sensing and detection. A key factor which is investigated is the aspect of extraction of the maximum amount of information in any given environment. The method used, which is based on information principles developed by Shannon, augments the many conventional approaches to optimizing performance of sensors. The fundamental issue of how many bits of information can be extracted by a sensor is addressed. The radiation pattern from a radiating or receiving sensor-array provides a spatial probability density function, which carries all the information about the system. Various such arrays are treated and the significance of the structure of the radiation pattern is examined. The technique is extended to the well-known concept of the lineshape profile of radiative atomic and molecular transitions, which is a probability density function in the frequency domain. Extensions of this work have applications in nanotechnology.

Citation Download Citation

Karan D. Mohan, Mohammad A. Khan, Amin N. Dharamsi, "Optimization of nano photonic sensors and detectors by information theoretic principles", Proc. SPIE 6008, Nanosensing: Materials and Devices II, 60081J (17 November 2005); doi: 10.1117/12.629792; https://doi.org/10.1117/12.629792

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