Solar Physics

Magnetic Topology

The study of magnetic topology is used to investigate how the solar coronal magnetic field may be configured, providing insight into how the magnetic field evolves with time.

X-Ray Bright Points

X-ray bright points (XBPs) are also known as EUV bright points (EBPs). They appear as small intense brightenings in X-ray and EUV emissions in the solar corona. I developed an algorithm that automatically detects and classifies magnetic events local to an XBP.

Automated XBP Detection

Images from SDO/AIA are collected, smoothed, and passed through a background subtraction. A grouping algorithm is then employed to detect XBPs in the image (circled).

Automated XBP Event Classification

Using SDO/HMI magnetogram data, flux curves are produced to determine when events may be occurring.

Publications

  • • D. T. Lee & D. S. Brown, Topology of Coronal Magnetic Fields: Extending the Magnetic Skeleton Using Null-like Points , SolPhys, 295, 12 (2020) [ html ][ astro-ph ]
  • • D. T. Lee, Three-Dimensional Topology of the Magnetic Field in the Solar Corona , UCLan CLOK, 25371 (2018) [ html ]

Presentations

  • • D. T. Lee & D. S. Brown, Potential Magnetic Fields: Null-like Points and Squashing Factors , UCLan CARDs (2017) [ pdf ]
  • • D. T. Lee, D. S. Brown & C. Powles, 3D Topology of the Magnetic Field in the Solar Corona , UCLan CARDs (2016) [ pdf ]
  • • D. T. Lee, D. S. Brown & C. Powles, 3D Topology of the Magnetic Field in the Solar Corona , National Astronomy Meeting, University of Nottingham (2016) [ pdf ]
  • • D. T. Lee, D. S. Brown & C. Powles, 3D Topology of the Magnetic Field in the Solar Corona , UCLan CARDs (2015) [ pdf ]

Posters

  • • D. T. Lee, D. S. Brown & C. Powles, 3D Topology of the Magnetic Field in the Solar Corona , National Astronomy Meeting (2015) [ pdf ]
 

 

Other Bits

I've done a few other bits of presentations, either public or for interview. None of this is remotely Solar Physics related, and is mostly Data Analysis pieces.

Presentations

  • • J. Taylor, D. Lee, Combining Student Data and Machine Learning: Predicting End of Year Outcomes , Presented at SROC 24, University of Leeds (2024) [ pdf ]
  • • D. T. Lee, Investigating the Link Between Covid-19 Case Rates and Deprivation , Business Intelligence Analyst Interview, Lancashire County Council (2021) [ pdf ]

Reports

  • • D. Lee, Modelling Zombie Attack Using SIR Infectious Disease Models , MA3999, University of Central Lancashire (2014) [ pdf ]

Tableau Public Dashboards

  • • D. Lee, FPL Mini-League Analysis , work in progress, started Sept 2025 [ URL ]