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Using 448.1 × 106 ψ(3686) decays collected with the BESIII detector at the BEPCII e+e− storage rings, the branching fractions and angular distributions of the decays χcJ → Ξ−Ξ¯¯¯¯+ and Ξ0Ξ¯¯¯¯0 (J = 0, 1, 2) are measured based on a partial-reconstruction technique. The decays χc1 → Ξ0Ξ¯¯¯¯0 and χc2 → Ξ0Ξ¯¯¯¯0 are observed for the first time with statistical significances of 7σ and 15σ, respectively. The results of this analysis are in good agreement with previous measurements and have significantly improved precision.
Though immensely successful, the standard model of particle physics does not offer any explanation as to why our Universe contains so much more matter than antimatter. A key to a dynamically generated matter–antimatter asymmetry is the existence of processes that violate the combined charge conjugation and parity (CP) symmetry1. As such, precision tests of CP symmetry may be used to search for physics beyond the standard model. However, hadrons decay through an interplay of strong and weak processes, quantified in terms of relative phases between the amplitudes. Although previous experiments constructed CP observables that depend on both strong and weak phases, we present an approach where sequential two-body decays of entangled multi-strange baryon–antibaryon pairs provide a separation between these phases. Our method, exploiting spin entanglement between the double-strange Ξ− baryon and its antiparticle2 Ξ¯+
, has enabled a direct determination of the weak-phase difference, (ξP − ξS) = (1.2 ± 3.4 ± 0.8) × 10−2 rad. Furthermore, three independent CP observables can be constructed from our measured parameters. The precision in the estimated parameters for a given data sample size is several orders of magnitude greater than achieved with previous methods3. Finally, we provide an independent measurement of the recently debated Λ decay parameter αΛ (refs. 4,5). The ΛΛ¯
asymmetry is in agreement with and compatible in precision to the most precise previous measurement.
We fabricated memristive devices using focused electron beam-induced deposition (FEBID) as a direct-writing technique employing a Pt/TiO2/Pt sandwich layer device configuration. Pinching in the measured current-voltage characteristics (i-v), the characteristic fingerprint of memristive behavior was clearly observed. The temperature dependence was measured for both high and low resistive states in the range from 290 K down to about 2 K, showing a stretched exponential behavior characteristic of Mott-type variable-range hopping. From this observation, a valence change mechanism of the charge transport inside the TiO2 layer can be deduced.
The photoelectric effect describes the ejection of an electron upon absorption of one or several photons. The kinetic energy of this electron is determined by the photon energy reduced by the binding energy of the electron and, if strong laser fields are involved, by the ponderomotive potential in addition. It has therefore been widely taken for granted that for atoms and molecules, the photoelectron energy does not depend on the electron’s emission direction, but theoretical studies have questioned this since 1990. Here, we provide experimental evidence that the energies of photoelectrons emitted against the light propagation direction are shifted toward higher values, while those electrons that are emitted along the light propagation direction are shifted to lower values. We attribute the energy shift to a nondipole contribution to the ponderomotive potential that is due to the interaction of the moving electrons with the incident photons.
This thesis has two main parts.
The first part is based on our publication [1], where we use perturbation theory to calculate decay rates of magnons in the Kitaev-Heisenberg-Γ (KHΓ) model. This model describes the magnetic properties of the material α-RuCl 3 , which is a candidate for a Kitaev spin liquid. Our motivation is to validate a previous calculation from Ref. [2]. In this thesis, we map out the classical phase diagram of the KHΓ model. We use the Holstein-Primakoff
transformation and the 1/S expansion to describe the low temperature dynamics of the Kitaev-Heisenberg-Γ model in the experimentally relevant zigzag phase by spin waves. By parametrizing the spin waves in terms of hermitian fields, we find a special parameter region within the KHΓ model where the analytical expressions simplify. This enables us to construct the Bogoliubov transformation analytically. For a representative point in the special parameter region, we use these results to numerically calculate the magnon damping, which is to leading order caused by the decay of single magnons into two. We also calculate the dynamical structure factor of the magnons.
The second part of this thesis is based on our publication [3], where we use the functional renormalization group to analyze a discontinuous quantum phase transition towards a non-Fermi liquid phase in the Sachdev-Ye-Kitaev (SYK) model. In this thesis, we perform a disorder average over the random interactions in the SYK model. We argue that in the thermodynamic limit, the average renormalization group (RG) flow of the SYK model is identical to the RG flow of an effective disorder averaged model. Using the functional RG, we find a fixed point describing the discontinuous phase transition to the non-Fermi liquid phase at zero temperature. Surprisingly, we find a finite anomalous dimension of the fermions, which indicates critical fluctuations and is unusual for a discontinuous transition. We also determine the RG flow at zero temperature, and relate it to the phase diagram known from the literature.
We study the polarization of relativistic fluids using the relativistic density operator at global and local equilibrium. In global equilibrium, a new technique to compute exact expectation values is introduced, which is used to obtain the exact polarization vector for fields of any spin. The same result has been extended to the case of massless fields. Furthermore, it is demonstrated that at local equilibrium not only the thermal vorticity but also the thermal shear contribute to the polarization vector. It is shown that assuming an isothermal local equilibrium, the new term can solve the polarization sign puzzle in heavy ion collisions.
TriMem: A parallelized hybrid Monte Carlo software for efficient simulations of lipid membranes
(2022)
Lipid membranes are integral building blocks of living cells and perform a multitude of biological functions. Currently, molecular simulations of cellular-scale membrane remodeling processes at atomic resolution are extremely difficult, due to their size, complexity, and the large times-scales on which these processes occur. Instead, elastic membrane models are used to simulate membrane shapes and transitions between them and to infer their properties and functions. Unfortunately, an efficiently parallelized open-source simulation code to do so has been lacking. Here, we present TriMem, a parallel hybrid Monte Carlo simulation engine for triangulated lipid membranes. The kernels are efficiently coded in C++ and wrapped with Python for ease-of-use. The parallel implementation of the energy and gradient calculations and of Monte Carlo flip moves of edges in the triangulated membrane enable us to simulate large and highly curved membrane structures. For validation, we reproduce phase diagrams of vesicles with varying surface-to-volume ratios and area difference. We also compute the density of states to verify correct Boltzmann sampling. The software can be used to tackle a range of large-scale membrane remodeling processes as a step toward cell-scale simulations. Additionally, extensive documentation make the software accessible to the broad biophysics and computational cell biology communities.
In order to understand the origin of the elements in the universe, one must understand the nuclear reactions by which atomic nuclei are transformed. There are many different astrophysical environments that fulfill the conditions of different nucleosynthesis processes. Even though great progress has been made in recent decades in understanding the origin of the elements in the universe, some questions remain unanswered. In order to understand the processes, it is necessary to measure cross sections of the involved reactions and constrain theoretical model predictions. A variety of methods have been developed to measure nuclear reaction cross sections relevant for nuclear astrophysics. In this thesis, two different experiments and their results, both using the well-established activation method, are presented.
A measurement of the proton capture cross section on the p-nuclide 96Ru was performed at the Institute of Structure and Nuclear Astrophysics ISNAP - Notre Dame, USA. The main goal of this experiment was to compare the results with those obtained by Mei et al. in a pioneering experiment using the method of inverse kinematics at the GSI Helmholtzzentrum für Schwerionenforschung GmbH - Darmstadt, Germany. Therefore, the activations were taken out at the same center of mass energies of 9 MeV, 10 MeV and 11 MeV. Another activation was taken out at an energy of 3.2 MeV to compare the result to a measurement of Bork et al. who also used the activation method. While the results at 3.2 MeV agree quite well with those of Bork et al., the results at higher energies show significantly smaller cross sections than those measured by Mei et al.. Experimental details, the data analysis and sources of uncertainties are discussed.
The second part of this thesis describes a neutron capture cross section experiment. At the Institut für Kernphysik - Goethe Universtität Frankfurt an experimental setup allows to produce quasi maxwell-distributed neutron fields to measure maxwell-averaged cross sections (MACS) relevant for s-process nucleosynthesis. The setup was upgraded by a fast electric linear guide to transport samples from the activation to the detection site. The cyclic activation of the sample allows to increase the signal-to-noise ratio and to measure neutron captures that lead to nuclei with
half-lives on the order of seconds. In a first campaign, MACS of the reactions 51V(n,γ), 107,109Ag(n,γ) and 103Rh(n,γ) were measured. The new components of the setup aswell as the data analysis framework are described and the results of the measurements are discussed.
Simulations of conformational changes and enzyme-substrate interactions in protein drug targets
(2022)
Finding new drugs is a difficult, time-consuming, and costly challenge, with only a small success rate along the drug discovery pipeline of far less than 10%. The high failure rate of drug discovery projects motivates the integration of computational tools throughout the whole drug discovery pipeline, from target identification to clinical trials. Target identification is the first step in the process. A biological target, e.g., a protein that plays a role in disease, is identified and its molecular mechanism in the disease is studied. Further, a potential binding site on the target, where therapeutic molecules can bind and modulate the target’s activity, needs to be characterized. Computational tools can contribute to improving the initial molecular target elucidation and assessment.
In this thesis, I use computational, physics-based approaches to characterize binding sites of drug targets and to decipher enzyme-substrate interactions, which play a role in disease mechanisms. Molecular dynamics (MD) simulations were applied to study the dynamics of molecules in solution at high temporal and spatial resolution. The method generates time-resolved trajectories of the particles in a system of interest by integrating Newton’s equations of motion numerically, starting from a set of coordinates and velocities. In MD simulations, all atoms of a chosen system, including solvent, are represented explicitly. Atomistic simulations are especially well-suited to study detailed interactions that depend on intermolecular interactions, such as hydration effects, hydrogen bonding, hydrophobic interactions, or subtle chemical differences. System properties are inferred from the trajectories, provided that the force fields, describing the interactions between the particles in the system, have a high accuracy. The bonded and non-bonded interactions are parametrized on experimental and quantum chemical data. The purpose of MD simulations can be to gain insight into the behavior of complex biological systems at molecular level, which often cannot be observed in experiments at the same resolution. With recent advances in computer hardware and simulation software, molecular systems of increasing size and simulation length can be investigated.
In the first part of the thesis, I investigated the conformational ensemble of various protein drug targets. Proteins are dynamic biomacromolecules that can have diverse and nearly isoenergetic conformational states. Ligand binding can shift the equilibrium of this conformational ensemble and can uncover binding sites, called cryptic sites. Cryptic sites only emerge upon small molecule binding and are often flat and featureless, and thus not easily recognized in crystal structures without bound ligands. If new binding sites including cryptic sites are detected, they can potentially be exploited for binding to ligands and enable a druggable target. Druggability is the ability of a protein to bind small, drug-like molecules, which is the basis for rational drug design. In this thesis, I used state-of-the-art physics-based, computational approaches to investigate the conformational ensembles of binding sites. In all studied systems, it is known from experiment that a specific group of ligands can induce conformational changes. The aim is to sample the conformational space made accessible upon ligand binding, yet without using the specific ligand structures or details about their interactions. We are interested in sampling the
pocket conformational states and identifying the respective pocket opening mechanism. For some cases, I additionally assessed whether the observed flexibility is a feature of the protein family, or specific to the protein under consideration.
The first studied system is factor VIIa (FVIIa). FVIIa is an essential part of the coagulation cascade and hence a potential drug target for thrombotic diseases. In addition, I investigated various other trypsin-like serine proteases from the same protein family. The binding pocket of trypsin-like serine proteases is called S1 pocket. An X-ray crystal structure solved by our collaborators reveals that a b-sheet structure in the S1 pocket is distorted by a bound ligand. I resolved the conformational change with MD simulations, starting from the unbound protein structure solvated in water and ions. I observed multiple spontaneous transition events. In 7 out of 22 simulations with the b-sheet as starting structure, the S1 pocket eventually rearranged into a distorted loop structure. These transitions occurred spontaneously and were mediated by water molecules probing the backbone hydrogen bonds. The conformational change studied here controls the onset of substrate binding and catalysis. Furthermore, I used metadynamics simulation, an enhanced-sampling method, to estimate the free energy barrier of this conformational change..
High-resolution, compactness, scalability, efficiency – these are the critical requirements which imaging radar systems have to fulfil in applications such as environmental monitoring, cloud mapping, body sensing or autonomous driving. This thesis presents a modular millimetre-wave frequency modulated continuous-wave (FMCW) radar front-end solution intended for such applications. High-resolution is achieved by enlarging the operating frequency band of the radar system. This can be realized at millimetre-wave frequencies due to the large spectrum availability. Furthermore, the size of components decreasing with increasing frequency makes millimetre-wave systems a good candidate for compactness. However, the full integration of radar front-ends is a challenge at millimetre-wave frequencies due to poor signal integrity and spectral purity, which are essential for imaging applications. The proposed radar uses an alternative technique and tackles this limitation by featuring highly-integrable architectures, specifically the Hartley architecture for signal conversion and enhanced push-pull amplifier for harmonic suppression. The resolution of imaging radars can be further improved by increasing the number of transmitters and receivers. This has spurred the investigation of spectrum, time and energy-efficient multiplexing techniques for multi-input multi-output (MIMO) radar systems. The FMCW radar architecture proposed in this thesis is based on code-division technique using intra-pulse, also called intra-chirp modulation. This advanced scalable and non-complex solution, made possible by the latest achievements on direct digital synthesis for signal generation, guarantees signal integrity and compact size implementation. The proposed architecture is investigated by a thorough system analysis. A transmitter module and a receiver module for a 35 GHz imaging radar prototype are designed, fabricated and fully characterized to validate the feasibility of our novel approach for high-resolution highly-integrated MIMO front-ends.