103 research outputs found
Precise Alignment of Large-aperture Compressor Gratings for High-power Lasers by Using Diffraction Interferometry
No full textSuppression of Amplified Spontaneous Emission (ASE) by Extraction During Pumping (EDP) in the Large Aperture Multi-Pass Amplifiers
No full textOptimization of the large aperture multi-pass amplifiers for CPA and OPCPA lasers by Extraction During Pumping (EDP)
No full textLaser Crystals Luminescence Parameters under the Influence of an External High Voltage Electrical Field
No full textOn typicality and adaptation in driven dynamical systems
No full textThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.Thesis: Ph. D., Massachusetts Institute of Technology, Department of Physics, 2019Cataloged from student-submitted PDF version of thesis.Includes bibliographical references (pages 125-130).In this work, I consider the possibility of using typicality-type arguments for understanding intractably complex damped-driven dynamical systems. By approximating such dynamics with appropriately constrained random process, I illustrate quantitative predictive power for some aspects of the motion. In particular, I argue that local dynamical stability, or exit rate, of a state is typically sufficient to predict steady-state probability in such systems -- circumventing the classic no-go theorems via our disorder approximation. I then focus on one consequence of this result: that the most likely long-time configurations should also be the dynamically stable ones. In a strongly-driven system, however, such stability may be hard to achieve, and therefore has interesting implications about the corresponding configurations: they must be well-adapted to the details of the driving forces, their dynamical robustness may be viewed in the context of self-healing, and depending on the drive, they can require substantial collective fine-tuning among the system's degrees of freedom. I confirm the emergence of such adapted states in several example systems, both in simulation and in experiment, and verify a quantitative agreement with the predicted scaling between their steady-state probability and local stability. I then explore several arguments and test-cases suggesting further generality of this framework. While it is not yet clear what the precise limits of applicability are for this approach, our results suggest that the intuition it builds can help with prediction and design in a broad class of complex dynamics.by Pavel Chvykov.Ph. D.Ph.D. Massachusetts Institute of Technology, Department of Physic
Enhancement of the temporal contrast of the 50 TW- laser up to 10<sup>11</sup>
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