Optimal Spectroscopic Analysis for Current and Future Multi-fibre Systems
Astronomical spectroscopy measures the physical properties of stellar objects using a spectrograph. The image captured by the spectrograph is subject to the dispersions and distortions. Data reduction is the process that transforms the original images from the spectrograph into final calibrated spec...
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ftunivsydney:oai:ses.library.usyd.edu.au:2123/25676 2023-05-15T18:11:29+02:00 Optimal Spectroscopic Analysis for Current and Future Multi-fibre Systems Riding, Bruce Murray 2021 application/pdf https://hdl.handle.net/2123/25676 en eng The University of Sydney Faculty of Science, School of Physics https://hdl.handle.net/2123/25676 The author retains copyright of this thesis. It may only be used for the purposes of research and study. It must not be used for any other purposes and may not be transmitted or shared with others without prior permission. Point Spread Function Spectroscopy AAOmega SAMI Thesis Masters by Research 2021 ftunivsydney 2022-05-30T13:28:56Z Astronomical spectroscopy measures the physical properties of stellar objects using a spectrograph. The image captured by the spectrograph is subject to the dispersions and distortions. Data reduction is the process that transforms the original images from the spectrograph into final calibrated spectra. This process aims to remove or minimise the influence of the instrument, interference between neighbouring spectra, and other properties that can obfuscate the true spectra. With greater improvement of the data reduction the final spectra can be cleaner. A key component of the data reduction is the Point Spread Function (PSF) model. The PSF is the response of the instrument to a delta function of light. This thesis tested a PSF for the SAMI/AAOmega instrument on the AAT. In order to measure the improvements, several qualitative and quantitative metrics were defined. To begin with, several functions in many combinations were used to model the PSF of sparse data. It was found that the best fitting PSF was a combination of two Gaussians and two Lorentzians with offset means and combined linearly. The Gaussians were used to model the central peak while the Lorentzians accounted for large wings in the PSF. Once the optimal PSF had been selected, it was applied to calibration data. In all cases, the new PSF was found to be an improved model which reduced the systematic errors and residuals. Next the new PSF was used to reduce science data. In typical images and images with high dynamic range, the new PSF was shown to be an improvement; however, in one specific case it lead to significant errors. Several strategies were attempted in order to solve this problem, however none completely succeeded. Overall, a new PSF was found that is a better model of the SAMI/AAOmega's true PSF. While challenges exist that need to be overcome before it can be implemented in the data reduction, there are promising solutions that can be investigated. Thesis sami The University of Sydney: Sydney eScholarship Repository |
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The University of Sydney: Sydney eScholarship Repository |
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language |
English |
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Point Spread Function Spectroscopy AAOmega SAMI |
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Point Spread Function Spectroscopy AAOmega SAMI Riding, Bruce Murray Optimal Spectroscopic Analysis for Current and Future Multi-fibre Systems |
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Point Spread Function Spectroscopy AAOmega SAMI |
description |
Astronomical spectroscopy measures the physical properties of stellar objects using a spectrograph. The image captured by the spectrograph is subject to the dispersions and distortions. Data reduction is the process that transforms the original images from the spectrograph into final calibrated spectra. This process aims to remove or minimise the influence of the instrument, interference between neighbouring spectra, and other properties that can obfuscate the true spectra. With greater improvement of the data reduction the final spectra can be cleaner. A key component of the data reduction is the Point Spread Function (PSF) model. The PSF is the response of the instrument to a delta function of light. This thesis tested a PSF for the SAMI/AAOmega instrument on the AAT. In order to measure the improvements, several qualitative and quantitative metrics were defined. To begin with, several functions in many combinations were used to model the PSF of sparse data. It was found that the best fitting PSF was a combination of two Gaussians and two Lorentzians with offset means and combined linearly. The Gaussians were used to model the central peak while the Lorentzians accounted for large wings in the PSF. Once the optimal PSF had been selected, it was applied to calibration data. In all cases, the new PSF was found to be an improved model which reduced the systematic errors and residuals. Next the new PSF was used to reduce science data. In typical images and images with high dynamic range, the new PSF was shown to be an improvement; however, in one specific case it lead to significant errors. Several strategies were attempted in order to solve this problem, however none completely succeeded. Overall, a new PSF was found that is a better model of the SAMI/AAOmega's true PSF. While challenges exist that need to be overcome before it can be implemented in the data reduction, there are promising solutions that can be investigated. |
format |
Thesis |
author |
Riding, Bruce Murray |
author_facet |
Riding, Bruce Murray |
author_sort |
Riding, Bruce Murray |
title |
Optimal Spectroscopic Analysis for Current and Future Multi-fibre Systems |
title_short |
Optimal Spectroscopic Analysis for Current and Future Multi-fibre Systems |
title_full |
Optimal Spectroscopic Analysis for Current and Future Multi-fibre Systems |
title_fullStr |
Optimal Spectroscopic Analysis for Current and Future Multi-fibre Systems |
title_full_unstemmed |
Optimal Spectroscopic Analysis for Current and Future Multi-fibre Systems |
title_sort |
optimal spectroscopic analysis for current and future multi-fibre systems |
publisher |
The University of Sydney |
publishDate |
2021 |
url |
https://hdl.handle.net/2123/25676 |
genre |
sami |
genre_facet |
sami |
op_relation |
https://hdl.handle.net/2123/25676 |
op_rights |
The author retains copyright of this thesis. It may only be used for the purposes of research and study. It must not be used for any other purposes and may not be transmitted or shared with others without prior permission. |
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1766184147161710592 |