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Application of Optimal Control Theory to Fourier Transform Ion Cyclotron Resonance
We study the application of Optimal Control Theory to Ion Cyclotron Resonance. We test the validity and the efficiency of this approach for the robust excitation of an ensemble of ions with a wide range of cyclotron frequencies. Optimal analytical solutions are derived in the case without any pulse...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8151339/ https://www.ncbi.nlm.nih.gov/pubmed/34065881 http://dx.doi.org/10.3390/molecules26102860 |
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author | Martikyan, Vardan Beluffi, Camille Glaser, Steffen J. Delsuc, Marc-André Sugny, Dominique |
author_facet | Martikyan, Vardan Beluffi, Camille Glaser, Steffen J. Delsuc, Marc-André Sugny, Dominique |
author_sort | Martikyan, Vardan |
collection | PubMed |
description | We study the application of Optimal Control Theory to Ion Cyclotron Resonance. We test the validity and the efficiency of this approach for the robust excitation of an ensemble of ions with a wide range of cyclotron frequencies. Optimal analytical solutions are derived in the case without any pulse constraint. A gradient-based numerical optimization algorithm is proposed to take into account limitation in the control intensity. The efficiency of optimal pulses is investigated as a function of control time, maximum amplitude and range of excited frequencies. A comparison with adiabatic and SWIFT pulses is done. On the basis of recent results in Nuclear Magnetic Resonance, this study highlights the potential usefulness of optimal control in Ion Cyclotron Resonance. |
format | Online Article Text |
id | pubmed-8151339 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-81513392021-05-27 Application of Optimal Control Theory to Fourier Transform Ion Cyclotron Resonance Martikyan, Vardan Beluffi, Camille Glaser, Steffen J. Delsuc, Marc-André Sugny, Dominique Molecules Article We study the application of Optimal Control Theory to Ion Cyclotron Resonance. We test the validity and the efficiency of this approach for the robust excitation of an ensemble of ions with a wide range of cyclotron frequencies. Optimal analytical solutions are derived in the case without any pulse constraint. A gradient-based numerical optimization algorithm is proposed to take into account limitation in the control intensity. The efficiency of optimal pulses is investigated as a function of control time, maximum amplitude and range of excited frequencies. A comparison with adiabatic and SWIFT pulses is done. On the basis of recent results in Nuclear Magnetic Resonance, this study highlights the potential usefulness of optimal control in Ion Cyclotron Resonance. MDPI 2021-05-12 /pmc/articles/PMC8151339/ /pubmed/34065881 http://dx.doi.org/10.3390/molecules26102860 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Martikyan, Vardan Beluffi, Camille Glaser, Steffen J. Delsuc, Marc-André Sugny, Dominique Application of Optimal Control Theory to Fourier Transform Ion Cyclotron Resonance |
title | Application of Optimal Control Theory to Fourier Transform Ion Cyclotron Resonance |
title_full | Application of Optimal Control Theory to Fourier Transform Ion Cyclotron Resonance |
title_fullStr | Application of Optimal Control Theory to Fourier Transform Ion Cyclotron Resonance |
title_full_unstemmed | Application of Optimal Control Theory to Fourier Transform Ion Cyclotron Resonance |
title_short | Application of Optimal Control Theory to Fourier Transform Ion Cyclotron Resonance |
title_sort | application of optimal control theory to fourier transform ion cyclotron resonance |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8151339/ https://www.ncbi.nlm.nih.gov/pubmed/34065881 http://dx.doi.org/10.3390/molecules26102860 |
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