Silicon sensor quantum efficiency, reflectance, and calibration

Michael Lesser

doi:10.1117/12.2054752

23 July 2014 Silicon sensor quantum efficiency, reflectance, and calibration

Michael Lesser

Proceedings Volume 9154, High Energy, Optical, and Infrared Detectors for Astronomy VI; 915411 (2014) https://doi.org/10.1117/12.2054752
Event: SPIE Astronomical Telescopes + Instrumentation, 2014, Montréal, Quebec, Canada

Abstract

Quantum Efficiency (QE) is one of the most important parameters when either evaluating or using an imaging sensor for scientific applications. For back illuminated CCD and CMOS imagers, QE is determined by temperature, antireflection (AR) coatings, backside charging mechanisms, and silicon thickness. The accurate and precise measurement of QE requires careful consideration of illumination, temperature, calibration standards, optics, electronic equipment and components, and scattered light. QE is also closely related to the reflectance from the sensor surface. We present in this paper a study of the QE and reflectance from a variety of sensors used for astronomical imaging. Particular attention is given to precise calibration, temperature effects, models vs. measurements, and measurement techniques. We discuss all these issues and how they relate to the measurement and actual performance of sensors with different areas, thicknesses, and AR coatings.

Citation Download Citation

Michael Lesser "Silicon sensor quantum efficiency, reflectance, and calibration", Proc. SPIE 9154, High Energy, Optical, and Infrared Detectors for Astronomy VI, 915411 (23 July 2014); https://doi.org/10.1117/12.2054752

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available