Portfolio item number 1
Short description of portfolio item number 1
Short description of portfolio item number 1
Short description of portfolio item number 2
Published in Journal 1, 2009
This paper is about the number 1. The number 2 is left for future work.
Recommended citation: Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1). http://academicpages.github.io/files/paper1.pdf
Published in Journal 1, 2010
This paper is about the number 2. The number 3 is left for future work.
Recommended citation: Your Name, You. (2010). "Paper Title Number 2." Journal 1. 1(2). http://academicpages.github.io/files/paper2.pdf
Published:
Abstract: We utilize data from the CAPS and MAG instruments onboard Cassini spacecraft to present a algorithms for automatic bow shock and magnetopause boundary detection.
Published:
Abstract: We utilize data from the CAPS and MAG instruments onboard Cassini spacecraft to present a algorithms for automatic bow shock and magnetopause boundary detection.
Published:
Abstract: We utilize data from the CAPS and MAG instruments onboard Cassini spacecraft to present a algorithms for automatic bow shock and magnetopause boundary detection.
Published:
Abstract: We performed statistical characterisation of mirror mode waves (MMW) in Saturn’s magnetosheath based on Cassini observations.
Published:
Abstract: A tutorial style presentation on calculating plasma moments from spacecraft data for the London Space Plasma Meeting at Queen Mary University of London.
Published:
Abstract: Mirror modes are large amplitude, non-propagating compressive structures often observed in the magnetosheath. They appear in the form of quasi-sinusoidal oscillations in the magnetic field, with clear magnetic dropouts (‘dips’) or enhancements (‘peaks’). Mirror modes are usually accompanied by a corresponding, anticorrelated signature in plasma density. Typically, the growth of mirror mode fluctuations is triggered when magnetized plasma traverses the bow shock (BS) or draping of the magnetic field around the magnetopause (MP), producing anisotropic ion distribution functions in a high plasma β environment.
Private Tutoring, Online and In-person, 2019
Matthew is a freelance tutor with 800+ hours of experience since 2019, and a final year PhD Student at University College London (UCL) working in Space Physics and Machine Learning.
Masters course, University College London, Department of Computer Science, 2022
I was a teaching assistant on this course to help student construct reliable, readable, efficient research software in a collaborative environment. Giving practical techniques, tips, and technologies to effectively build and maintain complex Python code.