Welcome to the new version of CaltechAUTHORS. Login is currently restricted to library staff. If you notice any issues, please email coda@library.caltech.edu
Published 1997 | Published
Book Section - Chapter Open

Low-energy electron detection with delta-doped CCDs

Abstract

Delta-doped CCDs have achieved stable quantum efficiency, at the theoretical limit imposed by reflection from the Si surface in the near UV and visible. In this approach, an epitaxial silicon layer is grown on a fully-processed CCD using molecular beam epitaxy. During the silicon growth on the CCD, 30 percent of a monolayer of boron atoms are deposited nominally within a single atomic layer, resulting in the effective elimination of the backside potential well. In this paper, we will briefly discuss delta-doped CCDs and their application of low-energy electron detection. We show that modification of the surface this way can greatly improve sensitivity to low-energy detection. We show that modification of the surface this way can greatly improve sensitivity to low-energy electrons. Measurements comparing the response of delta-doped CCDs with untreated CCDs were made in the 50 eV-1.5 keV energy range.For electrons with energies below 300 eV, the signal from untreated CCDs was below the detection limit for our apparatus, and data are presented only for the response of delta-doped CCDs at these energies. The effects of multiple electron hole pair production and backscattering on the observed signals are discussed.

Additional Information

© 1997 SPIE. The authors gratefully acknowledge the invaluable assistance of Ors., L. Douglas Bell, Michael Hoenk, Steve Manion, Tom Van Zandt, Mr. Walter Proniawicz, and Professor L.C. Kimerling. The work presented in this paper was performed by the Center for Space Microelectronics Technology, Jet Propulsion Laboratory, California Institute of Technology, and was jointly funded by the Caltech President's fund and the NASA Office of Space Science.

Attached Files

Published - 386595.pdf

Files

386595.pdf
Files (497.1 kB)
Name Size Download all
md5:d06b7828368187777c33a13caf5ddccd
497.1 kB Preview Download

Additional details

Created:
August 19, 2023
Modified:
January 13, 2024