This thesis summarizes the original analysis work performed by the author on data from XENON1T, a search for dark matter with a ton-size noble liquid detector operated at Gran Sasso Underground Laboratory in Italy. The nature of dark matter is one of the most open and pressing questions of modern physics, and the unique data acquired with this detector allows the exploration and investigation of several potential scenarios. The analysis of Dr. Shockley searches for a class of elusive elementary particles that interact with the electrons of ordinary atoms, instead of the nucleus. Results of...
This thesis summarizes the original analysis work performed by the author on data from XENON1T, a search for dark matter with a ton-size noble liquid ...
This book systematically introduces fast winding-based discharge strategies used for permanent magnet synchronous machine-based drives in electric vehicles (EVs) after a crash. The contents are from the author's final thesis securing his Ph.D. degree. The book contains seven chapters. Chapter 1 introduces the motivation of the research. Chapter 2 reviews five types of injury hazards that the occupants might suffer during crashes, addressing the high-voltage problem. In Chapters 3, 4, and 5, different winding-based discharge techniques are developed. Chapter 6 discusses the general principles...
This book systematically introduces fast winding-based discharge strategies used for permanent magnet synchronous machine-based drives in electric veh...
This book pursues the ambitious goal of combining floating wind turbine design optimization and reliability assessment, which has in fact not been done before. The topic is organized into a series of very ambitious objectives, which start with an initial state-of-the-art review, followed by the development of high-fidelity frameworks for a disruptive way to design next generation floating offshore wind turbine (FOWT) support structures. The development of a verified aero-hydro-servo-elastic coupled numerical model of dynamics for FOWTs and a holistic framework for automated simulation and...
This book pursues the ambitious goal of combining floating wind turbine design optimization and reliability assessment, which has in fact not been don...
This thesis provides the first atomic length-scale observation of the structural transformation (referred to as lattice reconstruction) that occurs in moiré superlattices of twisted bilayer transition metal dichalcogenides (TMDs) at low (θ < 2˚) twist angles. Such information is essential for the fundamental understanding of how manipulating the rotational twist-angle between two adjacent 2-dimensional crystals subsequently affects their optical and electrical properties.Studies using Scanning transmission electron microscopy (STEM), a powerful tool for atomic-scale imaging, were limited...
This thesis provides the first atomic length-scale observation of the structural transformation (referred to as lattice reconstruction) that occurs in...
This thesis explores the physics of non-equilibrium quantum dynamics in homogeneous two-dimensional (2D) quantum gases. Ultracold quantum gases driven out of equilibrium have been prominent platforms for studying quantum many-body physics. However, probing non-equilibrium dynamics in conventionally trapped, inhomogeneous atomic quantum gases has been a challenging task because coexisting mass transport and spreading of quantum correlations often complicate experimental analyses. In this work, the author solves this technical hurdle by producing ultracold cesium atoms in a quasi-2D optical box...
This thesis explores the physics of non-equilibrium quantum dynamics in homogeneous two-dimensional (2D) quantum gases. Ultracold quantum gases driven...
The thesis contains several pioneering results at the intersection of state-of-the-art materials characterization techniques and machine learning. The use of machine learning empowers the information extraction capability of neutron and photon spectroscopies. In particular, new knowledge and new physics insights to aid spectroscopic analysis may hold great promise for next-generation quantum technology. As a prominent example, the so-called proximity effect at topological material interfaces promises to enable spintronics without energy dissipation and quantum computing with fault tolerance,...
The thesis contains several pioneering results at the intersection of state-of-the-art materials characterization techniques and machine learning. The...
This book presents novel observational evidence toward detecting and characterizing the products of massive, interacting binary stars. As a majority of massive stars are born in close binary systems, a large number of so-called massive binary interaction products are predicted to exist; however, few have been identified so far. Based on observations with the largest telescopes around the world, equipped with state-of-the-art instrumentation, this book helps to remedy this situation. In her outstanding PhD-thesis Julia Bodensteiner identifies a new class of post-interaction binaries in a...
This book presents novel observational evidence toward detecting and characterizing the products of massive, interacting binary stars. As a majority o...
The analysis described in this thesis is the search for the Higgs boson, decaying intobbpair, in the associated production with a vector boson, in the extreme Higgs boson transverse momentum region where the Higgs boson is reconstructed using the large-Rjet technique. The use of the large-R jets allows to add a part of the phase space unexplored so far, which is particularly sensitive to possible new physics.The analysed data have been collected at LHC by the ATLAS detector between 2015 and 2018 at a centre-of-mass energy of √s= 13 TeV. The same dataset has been used to perform the...
The analysis described in this thesis is the search for the Higgs boson, decaying intobbpair, in the associated production with a vector boson, in the...