Use this URL to cite or link to this record in EThOS: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.741612
Title: Statistical description of high-harmonic generation
Author: Degen-Knifton, Arthur
ISNI:       0000 0004 7224 838X
Awarding Body: University of Southampton
Current Institution: University of Southampton
Date of Award: 2016
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Abstract:
Here, we present a novel method for estimation of harmonic spectrum features generated from ultrashort high-intensity laser pulses propagating through gas-filled capillaries, based on pump pulse decomposition and statistical considerations. Because of the strong optical nonlinearity, a high-intensity pump pulse launched with a simple, e.g. Gaussian, temporal profile develops a highly complex structure during propagation. We show how such complex propagating ultrashort infrared pulses can be decomposed and subdivided to provide more in-depth analysis of each of their intense regions, leading to a complete diagnostic view of the relevant features of ultrashort pulses for nonlinear optics, e.g. the number, peak intensities, and temporal widths of these individual pulse components within the complex structure. This analysis provides more insight into the collective action of all pulse components as opposed to traditional means which focus on a single feature, and allows diagnosis of the evolution of the large ensemble of features found in such intense ultrashort pulses. This analysis is then used to inform an approximation of the high harmonic spectrum generated from such a pulse based on the cumulative harmonic generation of each of the propagating pulse components. We show that this method is 57 times faster than explicit simulation, requires significantly less computational power, and provides good approximations to many features of the generated high harmonic spectra. We see that this method provides a strong complementary approach to finding optimal conditions for generating the highest harmonics, and provides an intuitive system for identifying the root of certain harmonic pulse features and potentially for predicting the conditions for generating them.
Supervisor: Horak, Peter Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.741612  DOI: Not available
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