About this work

In this project we present the analysis of the synthetic images produced by the LATMOS Test Particle (LaTeP) model, in preparation for the SMILE mission. You can either clone the repository of the source code, read the online jupyter book, or download the document of my Master’s thesis directly from here.

Here is a complete table of content with the corresponding Jupyter Notebooks you can find on the GitHub repository:

1. Abstract : Locating the Earth’s magnetopause through X-ray imaging

2. Introduction

   1. Earth’s Magnetopause

   2. Detecting the magnetopause

   3. Previous work: Fitting methods

3. Extracting the magnetopause surface from the simulation

   1. LaTeP model: Emissivity cube: LatepCube.ipynb, ReadCube.py

   2. Shue model fitted to slices: ShueToSlice.ipynb

   3. Radial extraction of full magnetopause: MagSurface.ipynb

   4. Fitting models to surface: FittingModels.ipynb

   5. Extracting the magnetopause from the MHD emissivity: MHDsurface.ipynb

4. Extracting the maximum intensity curve from the image

   1. Image processing: MaxIntensityArc.ipynb

5. Characterizing the tangent hypothesis

   1. Projecting the Surface: Pojection.ipynb

   2. Results: Characterizing the Tangent Hypothesis: TangentHypothesis.ipynb

6. Tangent Fitting

   1. The method: TangentFitting.ipynb,TangentFitting.py

   2. Benchmarking the fitting method: BenchmarkingTF.ipynb

   3. Discussion and Future developments

7. Bibliography