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Optimization of electron optics in a resonator cavity using Nelder-Mead simplex search for the quantum electron microscope

Author(s)
C̦eliker, Orhan T. (Orhan Tunc̦)
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Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Advisor
Mehmet Fatih Yanik.
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M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582
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Abstract
The Quantum Electron Microscope (QEM) is a proposed imaging modality that aims to reduce or eliminate the effects of radiation on living cells compared to traditional electron microscopy techniques. In recent years, an interaction free measurement scheme was proposed by Putnam and Yanik [1], and an implementation of this idea is being developed by an international collaboration. The current implementation foresees an electron cavity, which can be installed into a regular scanning electron microscope, to allow multiple passes of two electron wavefunctions over the specimen. In order to implement this idea, multiple different electron optical designs were proposed. Extensive simulation work is required to test and validate these designs. This work outlines the simulation work done for QEM, and proposes a general framework for optimizing electron trajectory simulations using Nelder-Mead search. It also provides a library of MATLAB wrapper functions and optimization methods to be used with the Integrated Lorentz-2E software.
Description
Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2015.
 
Cataloged from PDF version of thesis.
 
Includes bibliographical references (pages 55-56).
 
Date issued
2015
URI
http://hdl.handle.net/1721.1/101580
Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Publisher
Massachusetts Institute of Technology
Keywords
Electrical Engineering and Computer Science.

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