Tabeeb Rahman

Research article

High-harmonic generation with plasmonic enhancements

Analysis notes from the ORBYTS research placement

Authors
Tabeeb Rahman
Affiliation
UCL / University of Zurich ORBYTS Programme
Date
Research placement

Abstract

This project analysed high-energy XUV laboratory data to study plasmonic ionisation and electron recombination in ultra-high energy regimes.

The work combined scientific Python tooling, statistical data extraction, and physics interpretation across large experimental datasets.

High-harmonic generationPlasmonicsXUV dataTensorFlowPandas

Background

High-harmonic generation is a nonlinear optical process where intense laser fields drive electrons through ionisation, acceleration, and recombination stages.

The project focused on extracting signal structure from experimental data and relating those signals to physical mechanisms in the broader collaboration.

Methods

The analysis workflow used Python data tooling to process high-volume laboratory data and derive statistical summaries suitable for scientific interpretation.

The presentation and source report are retained as primary artifacts for the portfolio record.

Outcome

The broader collaboration contributed to peer-reviewed quantum physics work, while this portfolio page records the applied data-science contribution and presentation artifact.

Source PDF