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Dissertation
Co-alignment of detectors in dual-channel spectrometers by optical coherence tomography
Authors: --- --- --- ---
Year: 2019 Publisher: Liège Université de Liège (ULiège)

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Abstract

This work presents a method for detectors co-alignment in dual-channel spectrometer using optical coherence tomography. The method is proposed for the ELOIS (Enhanced Light Offner Imaging Spectrometer) developed by the AMOS company (Advance Mechanical and Optical Systems). This company designs and builds optical components and instruments related to the space industry and one of their current project is the ELOIS instrument.

A crucial aspect in the development of the instrument is the correct alignment of the focal plane assembly components. During this phase, the two detectors of the spectrometer need to be correctly co-aligned with each other in the six degrees of freedom. This work presents a method using optical coherence tomography for the co-alignment of the detectors in tip, tilt and focus.

The first part explains the theoretical aspects of optical coherence tomography and how it can be applied to the ELOIS instruments. 
The second part is the application of optical coherence tomography on a test bench replicating the components of the ELOIS. The procedure is detailed for this experimental test and an explanation of the results demonstrates the accuracy achievable with this method.
The third part of this work explains the differences between the experimental test and the ELOIS instrument. The procedure of co-alignment and the achievable accuracy are detailed in the case of this specific dual-channel spectrometer.


Book
Civil Engineering and Symmetry
Authors: --- ---
ISBN: 3039210033 3039210025 Year: 2019 Publisher: MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

A topic of utmost importance in civil engineering is finding optimal solutions throughout the life cycle of buildings and infrastructural objects, including their design, manufacturing, use, and maintenance. Operational research, management science, and optimization methods provide a consistent and applicable groundwork for engineering decision-making. These topics have received the interest of researchers and, after a rigorous peer-review process, eight papers have been published in this Special Issue. The articles in this Printed Edition demonstrate how solutions in civil engineering, which bring economic, social, and environmental benefits, are obtained through a variety of methodologies and tools. Usually, decision-makers need to take into account not just a single criterion, but several different criteria and, therefore, multi-criteria decision-making (MCDM) approaches have been suggested for application in five of the published papers; the rest of the papers apply other research methods. Most approaches suggested decision models under uncertainty, proposing hybrid MCDM methods in combination with fuzzy or rough set theory, as well as D-numbers. The application areas of the proposed MCDM techniques mainly cover production/manufacturing engineering, logistics and transportation, and construction engineering and management. We hope that a summary of the Special Issue as provided here will encourage a detailed analysis of the papers included in the Printed Edition.

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