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Optimizing schedules for the VLBI global observing system
Very long baseline interferometry (VLBI) scheduling is a challenging optimization problem. With the development of the new VLBI global observing system (VGOS) consisting of smaller but very fast slewing antennas, new opportunities arise. In this work, we give a deep insight into optimized VGOS sched...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6951470/ https://www.ncbi.nlm.nih.gov/pubmed/31983813 http://dx.doi.org/10.1007/s00190-019-01340-z |
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author | Schartner, Matthias Böhm, Johannes |
author_facet | Schartner, Matthias Böhm, Johannes |
author_sort | Schartner, Matthias |
collection | PubMed |
description | Very long baseline interferometry (VLBI) scheduling is a challenging optimization problem. With the development of the new VLBI global observing system (VGOS) consisting of smaller but very fast slewing antennas, new opportunities arise. In this work, we give a deep insight into optimized VGOS scheduling using a newly developed VLBI scheduling software called VieSched++, and we show how different scheduling parameters and approaches affect the precision of geodetic results. Therefore, the results of over one thousand generated schedules and over one million simulated sessions are analyzed. The simulations reveal that the most important parameters to optimize VGOS schedules with VieSched++ are the so-called weight factors. A proper selection of individually optimized weight factors can improve the quality of a schedule significantly. It is shown that the values of the weight factors used to generate the schedule are highly correlated with the expected precision of the geodetic parameters. We highlight the benefit of selecting schedules based on large-scale Monte Carlo simulations and show why scheduling statistics like the number of observations or the sky-coverage are not necessarily the best metric to evaluate schedules. |
format | Online Article Text |
id | pubmed-6951470 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-69514702020-01-23 Optimizing schedules for the VLBI global observing system Schartner, Matthias Böhm, Johannes J Geod Original Article Very long baseline interferometry (VLBI) scheduling is a challenging optimization problem. With the development of the new VLBI global observing system (VGOS) consisting of smaller but very fast slewing antennas, new opportunities arise. In this work, we give a deep insight into optimized VGOS scheduling using a newly developed VLBI scheduling software called VieSched++, and we show how different scheduling parameters and approaches affect the precision of geodetic results. Therefore, the results of over one thousand generated schedules and over one million simulated sessions are analyzed. The simulations reveal that the most important parameters to optimize VGOS schedules with VieSched++ are the so-called weight factors. A proper selection of individually optimized weight factors can improve the quality of a schedule significantly. It is shown that the values of the weight factors used to generate the schedule are highly correlated with the expected precision of the geodetic parameters. We highlight the benefit of selecting schedules based on large-scale Monte Carlo simulations and show why scheduling statistics like the number of observations or the sky-coverage are not necessarily the best metric to evaluate schedules. Springer Berlin Heidelberg 2020-01-08 2020 /pmc/articles/PMC6951470/ /pubmed/31983813 http://dx.doi.org/10.1007/s00190-019-01340-z Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Original Article Schartner, Matthias Böhm, Johannes Optimizing schedules for the VLBI global observing system |
title | Optimizing schedules for the VLBI global observing system |
title_full | Optimizing schedules for the VLBI global observing system |
title_fullStr | Optimizing schedules for the VLBI global observing system |
title_full_unstemmed | Optimizing schedules for the VLBI global observing system |
title_short | Optimizing schedules for the VLBI global observing system |
title_sort | optimizing schedules for the vlbi global observing system |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6951470/ https://www.ncbi.nlm.nih.gov/pubmed/31983813 http://dx.doi.org/10.1007/s00190-019-01340-z |
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