Discover Radin Rassouli
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Research themes, methods, and thesis and project outputs across theoretical physics, stochastic simulation, and scientific computing.
Research Profile
My research background is rooted in theoretical physics, with work on alternative gravity and cosmology, relativistic dynamics, and mathematically intensive models built from first principles.
Computational methods are not separate from that work. Numerical simulation, Monte Carlo methods, uncertainty analysis, and time-series analysis all play a role in testing, clarifying, and communicating physical systems.
Research Themes
Each theme is grounded in work that appears elsewhere on the site as a project, thesis, or research artifact.
My master's research focused on the Hamiltonian and minisuperspace structure of DBI, Cuscuton, and bimetric/disformal gravity-inspired models, applying unimodular gravity to study relational time in constrained cosmological systems.
Focus
Methods
My final-year BSc project analysed particle motion near black holes across Schwarzschild and Kerr backgrounds, deriving relativistic geodesic equations and studying strong-gravity trajectories in the context of dark-matter interactions.
Focus
Methods
My X-ray transport work used Monte Carlo methods to model photon generation, photon-matter interactions, absorption in material layers, and statistical error in stochastic simulations, with Compton scattering as a further extension.
Focus
Methods
Work at the National Physical Laboratory and in personal forecasting projects focused on complex measurement chains, uncertainty propagation, long time series, and transparent comparison of predictive models.
Focus
Methods
Representative Problems
Methods
Quantum field theory, quantum electrodynamics, differential geometry, relativity, cosmology, and group theory.
Probability, stochastic calculus, advanced linear algebra, tensor calculus, optimisation, and error propagation.
Python, C++, C, Monte Carlo simulation, time-series analysis, data visualisation, Jupyter, and Linux workflows.
Jupyter Book, technical reports, equations, diagrams, presentations, and structured LaTeX-based writeups.
Research Context
The research profile on this site was built across degree work at Imperial College London and Royal Holloway, University of London, together with measurement analysis work at the National Physical Laboratory.
MSc research on DBI, Cuscuton, and Bimetric theories, including canonical constraints and relational time in constrained cosmological systems.
Black-hole dynamics, X-ray Monte Carlo simulation, and technically focused physics presentations.
Python-based uncertainty analysis for satellite radar altimetry and structured technical reporting.
Selected Outputs
Selected thesis work, major projects, and research-facing outputs.
Independent research project on alternative gravity and cosmology models, applying Henneaux-Teitelboim unimodular gravity to study relational time, Schrödinger-type evolution, and canonical constraints.
Analysis of relativistic particle trajectories in strong-gravity fields through derived geodesic equations and computational study of motion across different regimes.
Stochastic simulation of photon generation, transport, and interaction with material layers, including absorption and statistical error analysis.
Interactive Python-based work on uncertainty propagation, measurement chains, and reusable reporting tools for radar altimetry re-tracking.