Dissertation / PhD Thesis PUBDB-2026-00117

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Stochastic Modeling of X-Ray Superfluorescence



2025

Dissertation, University of Hamburg, 2025  GO

Abstract: This dissertation presents a derivation and comprehensive study on the stochastic modeling of X-ray superfluorescence, a phenomenon in which spontaneous emission from atomic systems is amplified, producing coherent X-ray pulses. The research explores theoretical models and stochastic methods that capture the complex quantum processes involved. Notable contributions include addressing divergence issues within stochastic simulations. Two methodologies, stochastic gauging and Hermitian methodology, are introduced to stabilize and ensure the accuracy of stochastic simulations, providing practical tools for modeling compact and pencil-shaped X-ray emitting media. The work concludes with applications to X-ray superfluorescence, phase-stable hard X-ray pulse pairs, and attosecond pulse generation, advancing the understanding and potential applications of superfluorescent X-ray sources in spectroscopy and beyond.


Note: Dissertation, University of Hamburg, 2025

Research Program(s):
  1. HIDSS-0002 - DASHH: Data Science in Hamburg - Helmholtz Graduate School for the Structure of Matter (2019_IVF-HIDSS-0002) (2019_IVF-HIDSS-0002)

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 Record created 2026-01-08, last modified 2026-01-08


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