Peter Constantine Morningstar

Finished a master's project with ATLAS, utilising Python, C++, and machine learning for jet identification. Developed crucial qualitative and quantitative skills in big data analysis, applied physics, and scientific reasoning. Plans include pursuing enriching work opportunities that apply physics, towards materials science and nuclear engineering.

• Materials Science
• Metallurgy
• Nuclear Engineering
• Radiation Protection
• Data Science

MPhys project

• Critically evaluated a novel machine learning algorithm for event reconstruction and identification in high-dimensional datasets.
• Utilised advanced statistical analysis for reconstruction optimisation and pattern misidentification reduction.
• Worked with large-scale ATLAS Monte Carlo simulated datasets.

Study of Higgs bosons decaying to two photons with the ATLAS experiment

• Implemented complex event selection criteria onto a large ATLAS dataset.
• Utilised statistical methods of significance and modelling in signal analysis.

Nuclear magnetic resonance experiment

• Investigated resonant absorption of high-frequency radio waves by nuclei in an intense magnetic field.

High-resolution gamma-ray spectroscopy

• Utilised the properties of gamma rays for radionuclide identification by using a high-purity germanium semiconductor detector and a multichannel analyser.