Myles, John (2022) A century since outburst: A detailed light curve and evolution analysis of Nova Aquilae 1918. Honours thesis, University of Southern Queensland. (Unpublished)
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Text (Whole thesis - redacted)
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Abstract
Nova Aquilae 1918 (V603 Aql) was the brightest classical nova observed since the invention of the telescope. As such, it has received much attention, resulting in an extensive research collection. The research presented in this thesis concentrates on time series analysis of both historical observations from the AAVSO repository and a collection of photometric observations requested for this work, producing and analysing both published and newly obtained photometric light curves. This analysis is completed using PERANSO 3.0 software. In total over 50,000 individual observations were collected by 21 professional and amateur astronomers forming the full 2021 Campaign. Sub-sets of these data are analysed to determine the past and present state of the V603 Aql photometric superhumps and any other prominent periods. Previous measurements of these phenomena show both positive and negative superhump periods drift by around 0.004
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| Item Type: | Thesis (Non-Research) (Honours) |
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| Item Status: | Live Archive |
| Additional Information: | File reproduced in accordance with the copyright policy of the publisher/author. |
| Faculty/School / Institute/Centre: | Historic - Faculty of Health, Engineering and Sciences - School of Sciences (6 Sep 2019 - 31 Dec 2021) |
| Supervisors: | White, Graeme; Carter, Brad |
| Qualification: | Bachelor of Science (Honours) |
| Date Deposited: | 15 Apr 2026 03:02 |
| Last Modified: | 15 Apr 2026 03:10 |
| Uncontrolled Keywords: | Cataclysmic Variables; Classical Novae; Nova Aquilae 1918; V603 Aql |
| Fields of Research (2020): | 51 PHYSICAL SCIENCES > 5101 Astronomical sciences > 510109 Stellar astronomy and planetary systems |
| Socio-Economic Objectives (2020): | 28 EXPANDING KNOWLEDGE > 2801 Expanding knowledge > 280120 Expanding knowledge in the physical sciences |
| URI: | https://sear.unisq.edu.au/id/eprint/51737 |
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