Spectroscopic studies of arcade flares with EIS and EVE

Doyle, Lauren (2017) Spectroscopic studies of arcade flares with EIS and EVE. MSc(R) thesis, University of Glasgow.

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Printed Thesis Information: https://eleanor.lib.gla.ac.uk/record=b3271544

Abstract

This thesis investigates Doppler velocities in the flares SOL2014-03-29T17:48 and SOL2011-02-16T07:35 through methods of spectral analysis in EUV spectral data from Hinode/EIS and SDO/EVE. This was to understand plasma flows and compare measurements made with both instruments.
Chapter 1 gives detailed background information introducing the Sun and solar atmosphere providing the beginnings to understand the mechanisms behind solar flares. Various spectral lines are also discussed including different properties of the line and appearances in both EIS and EVE data.
In Chapter 2 Hinode/EIS data is introduced discussing the raw data itself, how EIS makes its observations along with spectroscopic analysis carried out. Intensity and Doppler velocity maps are also provided for several emission lines during both flares.
Chapter 3 then discusses EVE data including all of the analysis techniques applied to the raw data and the steps taken to obtain Doppler velocities. Results were then given as velocity-time plots of various emission lines showing the changing Doppler velocity as the flare progresses.
Chapter 4 then brings all of this together and describes the methods used to transform the EIS data into a comparable form to EVE. Direct comparisons of data from both instruments is then made and presented.

Item Type: Thesis (MSc(R))
Qualification Level: Masters
Keywords: Sun, solar flares, spectroscopy, Hinode/EIS, SDO/EVE.
Subjects: Q Science > QB Astronomy
Q Science > QC Physics
Colleges/Schools: College of Science and Engineering > School of Physics and Astronomy
Supervisor's Name: Fletcher, Prof Lyndsay
Date of Award: 2017
Depositing User: Miss Lauren Doyle
Unique ID: glathesis:2017-8161
Copyright: Copyright of this thesis is held by the author.
Date Deposited: 16 May 2017 08:08
Last Modified: 07 Jul 2017 08:47
URI: https://theses.gla.ac.uk/id/eprint/8161

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