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000643311 1001_ $$0P:(DE-H253)PIP1085353$$aChuchurka, Stasis$$b0$$gmale
000643311 245__ $$aStochastic Modeling of X-Ray Superfluorescence
000643311 260__ $$c2025
000643311 3367_ $$2DataCite$$aOutput Types/Dissertation
000643311 3367_ $$2ORCID$$aDISSERTATION
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000643311 3367_ $$0PUB:(DE-HGF)11$$2PUB:(DE-HGF)$$aDissertation / PhD Thesis$$bphd$$mphd$$s1767875639_1893143
000643311 3367_ $$2DRIVER$$adoctoralThesis
000643311 502__ $$aDissertation, University of Hamburg, 2025$$bDissertation$$cUniversity of Hamburg$$d2025
000643311 520__ $$aThis dissertation presents a derivation and comprehensive study on the stochastic modeling of X-ray superfluorescence, a phenomenon in which spontaneous emission from atomic systems is amplified, producing coherent X-ray pulses. The research explores theoretical models and stochastic methods that capture the complex quantum processes involved. Notable contributions include addressing divergence issues within stochastic simulations. Two methodologies, stochastic gauging and Hermitian methodology, are introduced to stabilize and ensure the accuracy of stochastic simulations, providing practical tools for modeling compact and pencil-shaped X-ray emitting media. The work concludes with applications to X-ray superfluorescence, phase-stable hard X-ray pulse pairs, and attosecond pulse generation, advancing the understanding and potential applications of superfluorescent X-ray sources in spectroscopy and beyond.
000643311 536__ $$0G:(DE-HGF)2019_IVF-HIDSS-0002$$aHIDSS-0002 - DASHH: Data Science in Hamburg - Helmholtz Graduate School for the Structure of Matter (2019_IVF-HIDSS-0002)$$c2019_IVF-HIDSS-0002$$x0
000643311 8564_ $$uhttps://ediss.sub.uni-hamburg.de/handle/ediss/11929
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