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Eustace L. Dereniak

Dr. Eustace L. Dereniak

University of Arizona

College of Optical Sciences
PO Box 210094

Tucson AZ 85721-0094
United States

tel: 520 621 1019
fax: 520 621 9104
E-mail: eustace@optics.arizona.edu

Area of Expertise

Infrared spectrometery and polarization


The University of Arizona: Professor, Optical Sciences, 1991-date; Associate Professor, 1983-1991;
Assistant Professor, 1978-1983; Research Associate, Department of Radiology, 1976-1978
Ball Brothers Research Corporation: Technical Staff, 1972-1973
Rockwell International: MTS, 1965-1972
Raytheon: Associate Engineer, 1963-1964

Society of Photo-Optical Instrumentation Engineers, Fellow
Optical Society of America, Fellow


  • Primary emphasis is the development of infrared-radiation detection.
  • Phenomenology.
  • Applied research in imaging spectrometers, primarily in the infrared; hyperspectral imaging, cryogenically cooled detector/electronics technology; CCD and CMOS devices.
  • Investigation of infrared detectors using charge transfer concepts, image processing of infrared sensors.

Lecture Title(s)

Infrared Detectors
Provides a broad and useful background on optical detectors, both photon and thermal, with a special emphasis placed on the infrared detectors.

Discussion of optical detection will be stressed. The fundamentals of responsivity (Rl), noise equivalent power (NEPl) and specific detectivity (D*) will be discussed.

Infrared Polarization
Covers imaging polarimeters from an instrumentation-design point of view. Basic polarization elements for the visible, mid-wave infrared, and long-wave infrared are described in terms of Mueller matrices and the Poincaré sphere.

Infrared Spectrometry
Covers the design of imaging spectrometers, from instrumentation to data exploitation. Emphasis is placed on scanning systems in recognition of their prevalence. All system concepts are discussed from the perspective of acquiring an image cube. Example systems (AVIRIS, HYDICE, etc.) illustrate current design practices. Noise-equivalent spectral radiance (NESR) will be introduced and explained. In addition, data exploitation is discussed and examples demonstrated.

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