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The article presents the results of numerical and experimental investigations of guided wave propagation in aluminum plates with variable thickness. The shapes of plate surfaces have been specially designed and manufactured using a CNC milling machine. The shapes of the plates were defined by sinusoidal functions varying in phase shift, which forced the changes in thickness variability alongside the propagation path. The main aim of the study is to analyze the wave propagation characteristics caused by non-uniform thickness. In the first step, the influence of thickness variability on the time course of propagating waves has been analyzed theoretically. The study proves that the wave propagation signals can be determined based on knowledge about the statistical description of the specimen geometry. The histograms of thickness distribution together with the a priori knowledge of the dispersion curves were used to develop an iterative procedure assuming that the signal from the previous step becomes the excitation in the next step. Such an approach allowed for taking into account the complex geometry of the plate and rejecting the assumption about the constant average thickness alongside the propagation path. In consequence, it was possible to predict correctly the signal time course, as well as the time of flight and number of propagating wave modes in specimens with variable thickness. It is demonstrated that theoretical signals predicted in this way coincide well with numerical and experimental results. Moreover, the novel procedure allowed for the correct prediction of the occurrence of higher-order modes.
We present the first very long baseline interferometric (VLBI) observations of the blazar OJ 287 carried out jointly with the Global Millimeter VLBI Array (GMVA) and the phased Atacama Large Millimeter/submillimeter Array (ALMA) at 3.5 mm on 2017 April 2. The participation of phased ALMA has not only improved the GMVA north–south resolution by a factor of ∼3, but has also enabled fringe detections with signal-to-noise ratios up to 300 at baselines longer than 2 Gλ. The high sensitivity has motivated us to image the data with newly developed regularized maximum likelihood imaging methods, revealing the innermost jet structure with unprecedentedly high angular resolution. Our images reveal a compact and twisted jet extending along the northwest direction, with two bends within the inner 200 μas, resembling a precessing jet in projection. The component at the southeastern end shows a compact morphology and high brightness temperature, and is identified as the VLBI core. An extended jet feature that lies at ∼200 μas northwest of the core shows a conical shape, in both total and linearly polarized intensity, and a bimodal distribution of the linear polarization electric vector position angle. We discuss the nature of this feature by comparing our observations with models and simulations of oblique and recollimation shocks with various magnetic field configurations. Our high-fidelity images also enabled us to search for possible jet features from the secondary supermassive black hole (SMBH) and test the SMBH binary hypothesis proposed for this source.
This Ph. D. thesis with the title "Characterisation of laser-driven radiation beams: Gamma-ray dosimetry and Monte Carlo simulations of optimised target geometry for record-breaking efficiency of MeV gamma-sources" is dedicated to the study of the acceleration of electrons by intense sub-picosecond laser pulses propagating in a sub-millimeter plasma with near-critical electron density (NCD) and resulting generation of the gamma bremsstrahlung and positrons in the targets of different materials and thickness.
Laser-driven particle acceleration is an area of increasing scientific interest since the recent development of short pulse, high-intensity laser systems. The interaction of intense high-energy, short-pulse lasers with solid targets leads to the production of high-energy electrons in the relativistic laser intensity regime of more than 1018 W /cm2. These electrons play the leading role in the first stage of the interaction of laser with matter, which leads to the creation of laser sources of particles and radiation. Therefore, the optimisation of the electron beam parameters in the direction of increasing the effective temperature and beam charge, together with a slight divergence, plays a decisive role, especially for further detection and characterisation of laser-driven photon and positron beams.
In the context of this work, experiments were carried out at the PHELIX laser system (Petawatt High-Energy Laser for Heavy Ion eXperiments) at GSI Helmholtz Center for Heavy-Ion Research GmbH in Darmstadt, Germany. This thesis presents a thermoluminescence dosimetry (TLD) based method for the measurement of bremsstrahlung spectra in the energy range from 30 keV to 100 MeV. The results of the TLD measurements reinforced the observed tendency towards the strong increase of the mean electron energy and number of super-ponderomotive electrons. In the case of laser interaction with long-scale NCD-plasmas, the dose caused by the gamma-radiation measured in the direction of the laser pulse propagation showed a 1000-fold increase compared to the high contrast shots onto plane foils and doses measured perpendicular to the laser propagation direction for all used combinations of targets and laser parameters.
In this thesis I present novel characterisation method using a combination of TLD measurements and Monte Carlo FLUKA simulations applicable to laser-driven beams. The thermoluminescence detector-based spectrometry method for simultaneous detection of electrons and photons from relativistic laser-induced plasmas initially developed by Behrens et al. (Behrens et al., 2003) and further applied in experiments at PHELIX laser (Horst et al., 2015) delivered good spectral information from keV energies up to some MeV, but as it was presented in (Horst et al., 2015) this method was not really suitable to resolve the content of photon spectra above 10 MeV because of the dominant presence of electrons. Therefore, I created new evaluation method of the incident electron spectra from the readings of TLDs. For this purpose, by means of MatLab programming language an unfolding algorithm was written. It was based on a sequential enumeration of matching data series of the dose values measured by the dosimeters and calculated with of FLUKA-simulations. The significant advantage of this method is the ability to obtain the spectrum of incident electrons in the low energy range from 1 keV, which is very difficult to measure reliably using traditional electron spectrometers.
The results of the evaluation of the effective temperature of super-ponderomotive electrons retrieved from the measured TLD-doses by means of the Monte-Carlo simulations demonstrated, that application of low density polymer foam layers irradiated by the relativistic sub-ps laser pulse provided a strong increase of the electron effective temperature from 1.5 - 2 MeV in the case of the relativistic laser interaction with a metallic foil up to 13 MeV for the laser shots onto the pre-ionized foam and more than 10 times higher charge carried by relativistic electrons.
The progressive simulation method of whole electron spectra described with two -temperatures Maxwellian distribution function has been developed and the results of dose simulations were compared with the acquired experimental data. The advanced feature of this method, which distinguishes it from the results of the simulation of the photon spectrum using the interaction with the target of mono-energetic electron beams (Nilgün Demir, 2013; Nilgün Demir, 2019) or the initial electron spectrum expressed as a function of one electron temperature (Fiorini, 2012), is the ability to simulate the initial electron spectrum described by the Maxwellian distribution function with two temperatures.
The important objective of this thesis was dedicated to the study and characterisation of laser-driven photon beams. In addition to this, the positron beams were evaluated. The investigation of bremsstrahlung photons and positrons spectra from high Z targets by varying the target thickness from 10 µm to 4 mm in simulated models of the interactions of electron spectra with Maxwellian distribution functions allowed to define an optimal thickness when the fluences of photons and positrons are maximal. Furthermore based on the results of FLUKA simulations the gold material was found to be the most suitable for the future experiments as e − γ target because of its highest bremsstrahlung yield.
Additionally Monte Carlo simulations were performed applying the obtained electron beam parameters from the electron acceleration process in laser-plasma interactions simulated with particle-in-cell (PIC) code for two laser energies of 20 J and 200 J. The corresponding electron spectra were imported into a Monte Carlo code FLUKA to simulate the production process of bremsstrahlung photons and positrons in Au converter. FLUKA simulations showed the record conversion of efficiency in MeV gammas can reach 10%, which reinforces the generation of positrons. The obtained results demonstrate the advantages of long-scale plasmas of near critical density (NCD) to increase the parameters of MeV particles and photon beams generated in relativistic laser-plasma interaction. The efficiency of the laser-driven generation of MeV electrons and photons by application of low-density polymer foams is essentially enhanced.
Layered {\alpha}-RuCl3 is a promising material to potentially realize the long-sought Kitaev quantum spin liquid with fractionalized excitations. While evidence of this exotic state has been reported under a modest in-plane magnetic field, such behavior is largely inconsistent with theoretical expectations of Kitaev phases emerging only in out-of-plane fields. These predicted field-induced states have been mostly out of reach due to the strong easy-plane anisotropy of bulk crystals, however. We use a combination of tunneling spectroscopy, magnetotransport, electron diffraction, and ab initio calculations to study the layer-dependent magnons, anisotropy, structure, and exchange coupling in atomically thin samples. Due to structural distortions, the sign of the average off-diagonal exchange changes in monolayer {\alpha}-RuCl3, leading to a reversal of magnetic anisotropy to easy-axis. Our work provides a new avenue to tune the magnetic interactions in {\alpha}-RuCl3 and allows theoretically predicted quantum spin liquid phases for out-of-plane fields to be more experimentally accessible.
In this work, the phase diagram of the 2+1-dimensional Gross-Neveu model is investigated with baryon chemical potential as well as chiral chemical potential in the mean-field approximation. We study the theory using two lattice discretizations, which are both based on naive fermions. An inhomogeneous chiral phase is observed only for one of the two discretizations. Our results suggest that this phase disappears in the continuum limit.
In this work, inhomogeneous chiral phases are studied in a variety of Four-Fermion and Yukawa models in 2+1 dimensions at zero and non-zero temperature and chemical potentials. Employing the mean-field approximation, we do not find indications for an inhomogeneous phase in any of the studied models. We show that the homogeneous phases are stable against inhomogeneous perturbations. At zero temperature, full analytic results are presented.
To determine the neutron flux in activation experiments, a commonly used monitor is zirconium and in particular the stable isotopes 94,96Zr. 96Zr is very sensitive to epithermal neutrons. Despite its widespread application, most gamma intensities of the radioactive neutron capture product, 97Zr, yield large uncertainties. With the help of a new γ spectroscopy setup and GEANT simulations, we succeeded in determining a new set of γ-ray intensities with significantly reduced uncertainties.
The aim of this thesis is to provide a complete and consistent derivation of second-order dissipative relativistic spin hydrodynamics from quantum field theory. We will proceed in two main steps. The first one is the formulation of spin kinetic theory from quantum field theory using the Wigner-function formalism and performing an expansion in powers of the Planck constant. The essential ingredient here is the nonlocal collision term. We will find that the nonlocality of the collision term arises at first order in the Planck constant and is responsible for the spin alignment with vorticity, as it allows for conversion between spin and orbital angular momentum.
In the second step, this kinetic theory is used as the starting point to derive hydrodynamics including spin degrees of freedom. The so-called canonical form of the conserved currents follows from Noether’s theorem.
Applying an HW pseudo-gauge transformation, we obtain a spin tensor and energy-momentum tensor with obvious physical interpretation. Promoting all components of the HW tensors to be dynamical, we derive
second-order dissipative spin hydrodynamics. The additional equations of motion for the dissipative currents are obtained from kinetic theory generalizing the method of moments to include spin degrees of freedom.
In this proceeding, the deep Convolutional Neural Networks(CNNs) are deployed to recognize the order of QCD phase transition and predict the dynamical parameters in Langevin processes. To overcome the intrinsic randomness existed in a stochastic process, we treat the final spectra as image-type inputs which preserve sufficient spatiotemporal correlations. As a practical example, we demonstrate this paradigm for the scalar condensation in QCD matter near the critical point, in which the order parameter of chiral phase transition can be characterized in a 1+1-dimensional Langevin equation for σ field. The well-trained CNNs accurately classify the first-order phase transition and crossover from σ field configurations with fluctuations, in which the noise does not impair the performance of the recognition. In reconstructing the dynamics, we demonstrate it is robust to extract the damping coefficients η from the intricate field configurations.
This work is focused on the anomalous skin effect in copper and how it affects the efficiency of copper-cavities in the temperature range 40-50 K. The quality factor Q of three coaxial cavities was measured over the temperature range from 10 K to room temperature in the experiment. The three coaxial cavities have the same structure, but different lengths, which correspond to resonant frequencies: around 100 MHz, 220 MHz and 340 MHz. Furthermore, the effects of copper-plating and additional baking in the vacuum oven on the quality factor Q are studied in the experiment. The motivation is to check the feasibility of an efficient, pulsed, ion linac, operated at cryogenic temperatures.
We present first results of a recently started lattice QCD investigation of antiheavy-antiheavy-light-light tetraquark systems including scattering interpolating operators in correlation functions both at the source and at the sink. In particular, we discuss the importance of such scattering interpolating operators for a precise computation of the low-lying energy levels. We focus on the b¯b¯ud four-quark system with quantum numbers I(JP)=0(1+), which has a ground state below the lowest meson-meson threshold. We carry out a scattering analysis using Lüscher's method to extrapolate the binding energy of the corresponding QCD-stable tetraquark to infinite spatial volume. Our calculation uses clover u, d valence quarks and NRQCD b valence quarks on gauge-link ensembles with HISQ sea quarks that were generated by the MILC collaboration.
We develop a framework to relate proton number cumulants measured in heavy-ion collisions within a momentum space acceptance to the susceptibilities of baryon number, assuming that particles are emitted from a fireball with uniform distribution of temperature and baryochemical potential, superimposed on a hydrodynamic flow velocity profile. The rapidity acceptance dependence of proton cumulants measured by the HADES Collaboration in √sNN = 2.4 GeV Au-Au appears to be consistent with thermal emission of nucleons from a grand-canonical heat bath, with the extracted baryon number susceptibilities exhibiting an hierarchy χB 4 >> −χB 3 >> χB 2 >> χB 1 . Naively, this could indicate large nonGaussian fluctuations that might point to the presence of the QCD critical point close to the chemical freeze-out at T ∼ 70 MeV and μB ∼ 850 − 900 MeV. However, the description of the experimental data at large rapidity acceptances becomes challenging once the effect of exact baryon number conservation is incorporated, suggesting that more theoretical and experimental studies are needed to reach a firm conclusion.
The centrality dependence of the p/π ratio measured by the ALICE Collaboration in 5.02 TeV Pb-Pb collisions indicates a statistically significant suppression with the increase of the charged particle multiplicity once the centrality-correlated part of the systematic uncertainty is eliminated from the data. We argue that this behavior can be attributed to baryon annihilation in the hadronic phase. By implementing the BB¯↔5π reaction within a generalized partial chemical equilibrium framework, we estimate the annihilation freeze-out temperature at different centralities, which decreases with increasing charged particle multiplicity and yields Tann=132±5 MeV in 0-5% most central collisions. This value is considerably below the hadronization temperature of Thad∼160 MeV but above the thermal (kinetic) freeze-out temperature of Tkin∼100 MeV. Baryon annihilation reactions thus remain relevant in the initial stage of the hadronic phase but freeze out before (pseudo-)elastic hadronic scatterings. One experimentally testable consequence of this picture is a suppression of various light nuclei to proton ratios in central collisions of heavy ions.
Die Entstehung der Elemente im Universum wird auf eine Vielzahl von Prozessen zurückgeführt, die sowohl in Urknall - als auch in stellaren Szenarien angesiedelt werden. Die Kenntnis der dort ablaufenden Reaktionen und deren Raten ermöglicht es die zugrundeliegenden Modelle einzugrenzen und somit genauere Aussagen über die Plausibilität der Szenarien zu treffen. Ein Teil dieser Prozesse stützt sich auf Neutroneneinfänge an Atomkernen, wodurch die Massezahl des Ausgangskerns erhöht wird.
Die Aktivierungsmethode ermöglicht die Bestimmung der Wahrscheinlichkeit eines Neutroneneinfangs, sofern der Zielkern eine detektierbare Radioaktivität aufweist. Die experimentelle Untersuchung einer Reaktion mit einem kurzlebigen Produktkern ist eine besondere Herausforderung, da bei langen Aktivierungen zwar viele Einfänge stattfinden, die meisten Produktkerne jedoch schon während der Aktivierung zerfallen. Ein probates Mittel um genügend Zerfälle des Produktkerns beobachten zu können ist die zyklische Aktivierung, wobei die Probe in mehrfachen Wiederholungen kurz bestrahlt und ausgezählt wird.
Im Rahmen dieser Arbeit wurden zwei verschiedene Anwendungen der zyklischen Aktivierung behandelt.
Eine vom Paul Scherrer Institut Villigen bereitgestellte Probe von 10Be wurde am TRIGA Reaktor der Johannes Gutenberg - Universität Mainz mit Neutronen aktiviert. Über die Cadmiumdifferenzmethode konnte der thermische und der epithermische Anteil der Neutronen separiert werden und dadurch sowohl der thermische Wirkungsquerschnitt als auch das Resonanzintegral für die Reaktion 10Be(n,γ)11Be bestimmt werden.
Am Institut für Kernphysik der Goethe Universität Frankfurt wurde mit einem Van - de - Graaff - Beschleuniger über die 7Li(p,n)7Be Reaktion ein quasistellares Neutronenspektrum mit kBT ≈ 25 keV erzeugt. Für die zyklische Aktivierung von Proben wurde die Infrastruktur in Form einer automatisiert ablaufenden Vorrichtung zur Bestrahlung und Auszählung geplant und umgesetzt. In diesem Rahmen wurden die über das Spektrum gemittelten Neutroneneinfangsquerschnitte für verschiedene Reaktionen bestimmt. Für 19F(n,γ)20F konnte der Gesamteinfangsquerschnitt bestimmt werden. Für die Reaktion 45Sc(n,γ)46Sc wurde der partielle Wirkungsquerschnitt in den 142,5 keV Isomerzustand gemessen. Aus der 115In(n,γ)116In Reaktion konnten die partiellen Querschnitte in die Isomerzustände bei 289,7 keV, 127,3 keV sowie den Grundzustand bestimmt werden.
Außerdem wurde mit einer Hafniumprobe die partiellen Einfangsquerschnitte in den 1147,4 keV Isomerzustand von 178Hf und in den 375 keV Isomerzustand von 179Hf gemessen.
We suggest to explore an entirely new method to experimentally and theoretically study the phase diagram of strongly interacting matter based on the triple nuclear collisions (TNC).We simulated the TNC using the UrQMD 3.4 model at the beam center of- mass collision energies √SNN = 200 GeV and √SNN = 2.76 TeV. It is found that in the most central and simultaneous TNC the initial baryonic charge density is about 3 times higher than the one achieved in the usual binary nuclear collisions at the same energies. As a consequence, the production of protons and Λ-hyperons is increased by a factor of 2 and 1.5, respectively. Using the MIT Bag model equation we study the evolution of the central cell in TNC and demonstrate that for the top RHIC energy of collision the baryonic chemical potential is 2-2.5 times larger than the one achieved in the binary nuclear collision at the same time of reaction. Based on these estimates, we show that TNC offers an entirely new possibility to study the QCD phase diagram at very high baryonic charge densities.
Neural networks have been recently proposed as variational wave functions for quantum many-body systems [G. Carleo and M. Troyer, Science 355, 602 (2017)]. In this work, we focus on a specific architecture, known as Restricted Boltzmann Machine (RBM), and analyse its accuracy for the spin-1/2 J1−J2 antiferromagnetic Heisenberg model in one spatial dimension. The ground state of this model has a non-trivial sign structure, especially for J2/J1>0.5, forcing us to work with complex-valued RBMs. Two variational Ans\"atze are discussed: one defined through a fully complex RBM, and one in which two different real-valued networks are used to approximate modulus and phase of the wave function. In both cases, translational invariance is imposed by considering linear combinations of RBMs, giving access also to the lowest-energy excitations at fixed momentum k. We perform a systematic study on small clusters to evaluate the accuracy of these wave functions in comparison to exact results, providing evidence for the supremacy of the fully complex RBM. Our calculations show that this kind of Ans\"atze is very flexible and describes both gapless and gapped ground states, also capturing the incommensurate spin-spin correlations and low-energy spectrum for J2/J1>0.5. The RBM results are also compared to the ones obtained with Gutzwiller-projected fermionic states, often employed to describe quantum spin models [F. Ferrari, A. Parola, S. Sorella and F. Becca, Phys. Rev. B 97, 235103 (2018)]. Contrary to the latter class of variational states, the fully-connected structure of RBMs hampers the transferability of the wave function from small to large clusters, implying an increase of the computational cost with the system size.
Neutron star mergers (NSMs) are one of the astrophysical sites for the occurrence of the rapid neutron capture process (r-process). After a merger, the ejected neutron-rich matter hosts the production of radioactive heavy nuclei located far from the stability valley. Their nuclear physics properties are key inputs for r-process nucleosynthesis calculations. Here, we focus on the importance of neutron-capture rates and perform a sensitivity study for typical outflows from NSMs. We identify the rates with the highest impact on the final r-process abundance pattern and the nuclear energy release, therefore determining the nucleosynthesis in NSMs. A list of major n-capture rates affecting individual isotopes and elements production is also provided.
Asymptotic giant branch (AGB) stars are thought to be among the most important sources of fluorine in our Galaxy. While observations and theory agree at close-to-solar metallicity, stellar models overestimate fluorine production in comparison to heavy elements at lower metallicities. We present predictions for 19F abundance for a set of AGB models with various masses and metallicities, in which magnetic buoyancy induces the formation of the 13C neutron source (the so-called 13C pocket). In our new models, fluorine is mostly created as a consequence of secondary 14N nucleosynthesis during convective thermal pulses, with a minor contribution from the 14N existing in the 13C pocket zone. As a result, AGB stellar models with magnetic-buoyancyinduced mixing show low 19F surface abundances which agree with fluorine spectroscopic observations at both low and near-solar metallicity.
A modification of the Einstein–Hilbert theory, the Covariant Canonical Gauge Gravity (CCGG), leads to a cosmological constant that represents the energy of the space–time continuum when deformed from its (A)dS ground state to a flat geometry. CCGG is based on the canonical transformation theory in the De Donder–Weyl (DW) Hamiltonian formulation. That framework modifies the Einstein–Hilbert Lagrangian of the free gravitational field by a quadratic Riemann–Cartan concomitant. The theory predicts a total energy-momentum of the system of space–time and matter to vanish, in line with the conjecture of a “Zero-Energy-Universe” going back to Lorentz (1916) and Levi-Civita (1917). Consequently, a flat geometry can only exist in presence of matter where the bulk vacuum energy of matter, regardless of its value, is eliminated by the vacuum energy of space–time. The observed cosmological constant Λobs is found to be merely a small correction attributable to deviations from a flat geometry and effects of complex dynamical geometry of space–time, namely torsion and possibly also vacuum fluctuations. That quadratic extension of General Relativity, anticipated already in 1918 by Einstein, thus provides a significant and natural contribution to resolving the “cosmological constant problem”.
In der vorliegenden Arbeit wurde die Ionisation von Atomen und Molekülen in starken Laserfeldern experimentell untersucht. Hierbei kam die COLTRIMS-Technik zur koinzidenten Messung der Impulse aller aus einem Ionisationsereignis stammender Ionen und Elektronen zum Einsatz. Unter Mitwirkung des Autors wurde ein COLTRIMS-Reaktionsmikroskop umgebaut und mit einem neuen Spektrometer sowie einer atomaren Wasserstoffquelle ausgestattet. Des Weiteren entstand ein interferometrischer Aufbau zur Erzeugung von Zwei-Farben-Feldern. Aus jedem der vorgestellten Experimente konnten Informationen über die elektronische Wellenfunktion an der Grenze zum klassisch verbotenen Bereich gewonnen werden. Dies geschah sowohl im Hinblick auf die Amplitude, als auch auf die Phase der Wellenfunktion. Mit dem Wasserstoffatom (Kapitel 9), dem Wasserstoffmolekül (Kapitel 10) und dem Argondimer (Kapitel 11) wurden drei Systeme unterschiedlicher Komplexität gewählt.
The 14N(n,p)14C reaction is of interest in neutron capture therapy, where nitrogen-related dose is the main component due to low-energy neutrons, and in astrophysics, where 14N acts as a neutron poison in the s-process. Several discrepancies remain between the existing data obtained in partial energy ranges: thermal energy, keV region and resonance region. Purpose: Measuring the 14N(n,p)14C cross section from thermal to the resonance region in a single measurement for the first time, including characterization of the first resonances, and providing calculations of Maxwellian averaged cross sections (MACS). Method: Time-of-flight technique. Experimental Area 2 (EAR-2) of the neutron time-of-flight (n_TOF) facility at CERN. 10B(n,α)7Li and 235U(n,f) reactions as references. Two detection systems running simultaneously, one on-beam and another off-beam. Description of the resonances with the R-matrix code sammy. Results: The cross section has been measured from sub-thermal energy to 800 keV resolving the two first resonances (at 492.7 and 644 keV). A thermal cross-section (1.809±0.045 b) lower than the two most recent measurements by slightly more than one standard deviation, but in line with the ENDF/B-VIII.0 and JEFF-3.3 evaluations has been obtained. A 1/v energy dependence of the cross section has been confirmed up to tens of keV neutron energy. The low energy tail of the first resonance at 492.7 keV is lower than suggested by evaluated values, while the overall resonance strength agrees with evaluations. Conclusions: Our measurement has allowed to determine the 14N(n,p) cross-section over a wide energy range for the first time. We have obtained cross-sections with high accuracy (2.5 %) from sub-thermal energy to 800 keV and used these data to calculate the MACS for kT = 5 to kT = 100 keV.
Using full 3+1 dimensional general-relativistic hydrodynamic simulations of equal- and unequal-mass neutron-star binaries with properties that are consistent with those inferred from the inspiral of GW170817, we perform a detailed study of the quark-formation processes that could take place after merger. We use three equations of state consistent with current pulsar observations derived from a novel finite-temperature framework based on V-QCD, a non-perturbative gauge/gravity model for Quantum Chromodynamics. In this way, we identify three different post-merger stages at which mixed baryonic and quark matter, as well as pure quark matter, are generated. A phase transition triggered collapse already ≲10ms after the merger reveals that the softest version of our equations of state is actually inconsistent with the expected second-long post-merger lifetime of GW170817. Our results underline the impact that multi-messenger observations of binary neutron-star mergers can have in constraining the equation of state of nuclear matter, especially in its most extreme regimes.
Using full 3+1 dimensional general-relativistic hydrodynamic simulations of equal- and unequal-mass neutron-star binaries with properties that are consistent with those inferred from the inspiral of GW170817, we perform a detailed study of the quark-formation processes that could take place after merger. We use three equations of state consistent with current pulsar observations derived from a novel finite-temperature framework based on V-QCD, a non-perturbative gauge/gravity model for Quantum Chromodynamics. In this way, we identify three different post-merger stages at which mixed baryonic and quark matter, as well as pure quark matter, are generated. A phase transition triggered collapse already ≲ 10 ms after the merger reveals that the softest version of our equations of state is actually inconsistent with the expected second-long post-merger lifetime of GW170817. Our results underline the impact that gravitational wave observations of binary neutron-star mergers can have in constraining the equation of state of nuclear matter, especially in its most extreme regimes.
Die vorliegende Arbeit befasst sich mit der Untersuchung der Transporteigenschaften inklusive Ladungsträgerdynamik von quasi-zweidimensionalen organischen Ladungstransfersalzen. Diese Materialien besitzen eine Schichtstruktur und weisen eine hohe Anisotropie der elektrischen Leitfähigkeit auf. Aufgrund der geringen Bandbreite und der niedrigen Ladungsträgerkonzentration gehören die Materialien zu den stark-korrelierten Elektronensystemen, wobei sich die elektronischen Eigenschaften leicht durch chemische Modifikationen oder äußere Parameter beeinflussen lassen. Die starken Korrelationen resultieren in Metall-Isolator-Übergängen, die sich beim Mott-isolierenden Zustand in einer homogenen Verteilung und beim ladungsgeordneten Zustand in einer periodischen Anordnung der lokalisierten Ladungsträger manifestieren.
Mithilfe der Fluktuationsspektroskopie, die sich mit der Analyse der zeitabhängigen Widerstandsfluktuationen befasst, konnten im Rahmen dieser Arbeit neue Erkenntnisse über die Ladungsträgerdynamik in den verschiedenen elektronischen Zuständen gewonnen werden. Die Metall-Isolator-Übergänge in den untersuchten Systemen, die auf den Molekülen BEDT-TTF (kurz: ET) bzw. BEDT-TSF (kurz: BETS) basieren, sind von der Stärke der strukturellen Dimerisierung abhängig und wurden durch die Kühlrate, eine Zugbelastung sowie durch die Ausnutzung des Feldeffekts beeinflusst.
In den Systemen κ-(BETS)₂Mn[N(CN)₂]₃, κ-(ET)₂Hg(SCN)₂Cl und κ-(ET)₂Cu[N(CN)₂]Br sind die Donormoleküle als Dimere angeordnet, sodass aufgrund der effektiv halben Bandfüllung bei genügender Korrelationsstärke häufig ein Mott-Übergang auftritt. In κ-(ET)₂Hg(SCN)₂Cl führt eine schwächere Dimerisierung jedoch zu einem Ladungsordnungsübergang, der mit elektronischer Ferroelektrizität einhergeht. Dabei wird die polare Ordnung durch eine Ladungsdisproportionierung innerhalb der Dimere verursacht. Die Widerstandsfluktuationen zeigen am ferroelektrischen Übergang einen starken Anstieg der spektralen Leistungsdichte, eine Abhängigkeit vom angelegten elektrischen Feld sowie Zeitabhängigkeiten, die auf räumliche Korrelationen der fluktuierenden Prozesse hindeuten. Diese Eigenschaften wurden ebenfalls für das System κ-(BETS)₂Mn[N(CN)₂]₃ beobachtet. Hierbei wurden mithilfe der dielektrischen Spektroskopie ebenfalls Hinweise auf Ferroelektrizität gefunden, während durch die Analyse der stromabhängigen Widerstandsfluktuationen die Größe der polaren Regionen abgeschätzt werden konnte. Das System κ-(ET)₂Cu[N(CN)₂]Br, das in einer Feldeffekttransistor-Struktur vorliegt, erlaubt neben der Untersuchung des Bandbreiten-getriebenen Mott-Übergangs durch die Zugbelastung eines Substrats auch die Beeinflussung der elektronischen Eigenschaften durch die Änderung der Bandfüllung mittels elektrostatischer Dotierung. Hierbei wurden starke Abhängigkeiten des Widerstands von der Gatespannung beobachtet und Ähnlichkeiten der Ladungsträgerdynamik zu herkömmlichen Volumenproben gefunden.
Bei den Systemen θ-(ET)₂MM'(SCN)₄ mit MM'=CsCo, RbZn, TlZn tritt ein Ladungsordnungsübergang auf, der eine starke Abhängigkeit von der Kühlrate zeigt. Durch schnelles Abkühlen lässt sich der Phasenübergang erster Ordnung kinetisch vermeiden, wodurch ein Ladungsglaszustand realisiert wird. Dieser metastabile Zustand zeigt neuartige physikalische Eigenschaften mit Ähnlichkeiten zu herkömmlichen Gläsern und wurde als Folge der geometrischen Frustration der Ladung auf einem Dreiecksgitter diskutiert. Im Rahmen dieser Arbeit konnte die Ladungsträgerdynamik in den verschiedenen Ladungszuständen von unterschiedlich frustrierten Systemen verglichen werden. Zur Realisierung sehr schneller Abkühlraten wurde dafür eine Heizpulsmethode verwendet und weiterentwickelt. Der Ladungsglaszustand zeigte dabei für verschiedene Systeme ein deutlich niedrigeres Rauschniveau als der ladungsgeordnete Zustand. In Kombination mit Messungen der thermischen Ausdehnung und kühlratenabhängiger Transportmessungen wurde in den Systemen mit der stärksten Frustration die Existenz eines strukturellen Glasübergangs nachgewiesen, der von einer starken Verlangsamung der Ladungsträgerdynamik begleitet wird. Diese Erkenntnisse werfen ein neues Licht auf die bisherige rein elektronische Interpretation des Ladungsglaszustands und heben den Einfluss der strukturellen Freiheitsgrade hervor.
The pion-to-proton ratio is identified as a potential signal for a non-equilibrium first-order chiral phase transition in heavy-ion collisions, as the pion multiplicity is directly related to entropy production. To showcase this effect, a non-equilibrium Bjorken expansion starting from realistic initial conditions along a Taub adiabat is used to simulate the entropy production. Different dynamical criteria to determine the final entropy-per-baryon number are investigated and matched to a hadron resonance gas model along the chemical freeze out curve to obtain the final pion and proton numbers. We detect a strong enhancement of their multiplicity ratio at the energies where the system experiences a strong phase transition as compared to a smooth crossover which shows almost no enhancement.
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..
In March 2019 the HADES experiment recorded 14 billion Ag+Ag collisions at √SNN = 2.55 GeV as a part of the FAIR phase-0 physics program. With the capabilities to measure and analyze particles forming the bulk matter, namely pions, protons and light nuclei, as well as rare probes like dilepton decays of vectormesons and strange hadrons, the HADES experiment allows to study the properties of matter at high densities in great detail. In this contribution a special focus is put on the reconstruction of weakly decaying strange hadrons.
In this thesis, the emission of protons as well as the production of Λ hyperons, Κ0S mesons and 3ΛH hypernuclei are analyzed multi-differentially as a function of transverse momentum, rapidity and centrality. Therefore, the 3.03 billion 30 % most central Ag(1.58A GeV)+Ag events recorded by HADES are used. Furthermore, the lifetimes of Λ hyperons, Κ0S mesons and 3ΛH hypernuclei are measured. The obtained 3ΛH lifetime of (253 ± 24 ± 42) ps is compatible with the lifetime of free Λ hyperons, as predicted by theoretic calculations due to its low binding energy. Finally, also the double strange Ξ– hyperons are reconstructed. Unfortunately, the fully optimized signals lie below the confidence threshold of 5σ, which is why both an production rate and an upper production limit are estimated using averaged acceptance and efficiency corrections. Never before, 3ΛH or Ξ– were successfully reconstructed and analyzed in heavy-ion collisions at such low energies. The obtained results are compared to previous measurements and put in context with world data form different energies and collision systems.
Under temperature or pressure tuning, tetragonal EuPd2Si2 is known to undergo a valence transition from nearly divalent to nearly trivalent Eu accompanied by a volume reduction. Albeit intensive work, its origin is not yet completely understood. Here, we investigate the mechanism of the valence transition under volume compression by density functional theory calculations (DFT). Our analysis suggests that the transition is a consequence of an enhanced c−f hybridization between localized Eu 4f states and itinerant conduction states (Eu 5d, Pd 4d, and Si 3p) where the interplay of the electronic bandwidth, crystal field environment, Coulomb repulsion, Hund's coupling and spin-orbit coupling plays a crucial role for the transition to happen. The change in the electronic structure is intimately related to the volume reduction where Eu-Pd(Si) bond lengths shorten. In a next step we compare our DFT results to surface-sensitive photoemission data in which the mixed-valent properties of EuPd2Si2 are reflected in a simultaneous observation of divalent and trivalent signals from the Eu 4f shell.
In-medium effects in strangeness production in heavy-ion collisions at (sub-) threshold energies
(2022)
We study the in-medium effects in strangeness production in heavyion collisions at (sub-)threshold energies based on the microscopic Parton-Hadron-String Dynamics (PHSD) transport approach. The in-medium modifications of the antikaon properties are described via the self-consistent coupledchannel unitarized scheme based on a SU(3) chiral Lagrangian while the inmedium modification of kaons are accounted via the kaon-nuclear potential, which is assumed to be proportional to the local baryon density. We find that the modifications of (anti)kaon properties in nuclear matter are necessary to explain the experimental data in heavy-ion collisions.
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.
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.
Bottomonium states are key probes for experimental studies of the quark-gluon plasma (QGP) created in high-energy nuclear collisions. Theoretical models of bottomonium productions in high-energy nuclear collisions rely on the in-medium interactions between the bottom and antibottom quarks, which can be characterized by real (VR(T, r)) and imaginary (VI(T, r)) potentials, as functions of temperature and spatial separation. Recently, the masses and thermal widths of up to 3S and 2P bottomonium states in QGP were calculated using lattice quantum chromodynamics (LQCD). Starting from these LQCD results and through a novel application of deep neural network (DNN), here, we obtain model-independent results for VR(T, r) and VI(T, r). The temperature dependence of VR(T, r) was found to be very mild between T ≈ 0 − 330 MeV. Meanwhile, VI(T, r) shows rapid increase with T and r, which is much larger than the perturbation theory based expectations.
We study the decays of the JPC=1−+ hybrid nonet using a Lagrangian invariant under the flavor symmetry, parity reversal, and charge conjugation. We use the available experimental data, the lattice predictions, and the flavor constraints to evaluate the coupling strengths of the π1(1600) to various two-body mesonic states. Using these coupling constants, we estimate the partial widths of the two-body decays of the hybrid pion, kaon and the isoscalars. We find that the hybrid kaon can be nearly as broad as the π1(1600). Quite remarkably, we find also that the light isoscalar must be significantly narrow while the width of the heavy isoscalar can be matched to the recently observed η1(1855).
Gasdermin-D (GSDMD) is the ultimate effector of pyroptosis, a form of programmed cell death associated with pathogen invasion and inflammation. After proteolytic cleavage by caspases activated by the inflammasome, the GSDMD N-terminal domain (GSDMDNT) assembles on the inner leaflet of the plasma membrane and induces the formation of large membrane pores. We use atomistic molecular dynamics simulations to study GSDMDNT monomers, oligomers, and rings in an asymmetric plasma membrane mimetic. We identify distinct interaction motifs of GSDMDNT with phosphatidylinositol-4,5-bisphosphate (PI(4,5)P2) and phosphatidylserine (PS) head-groups and describe differential lipid binding between the pore and prepore conformations. Oligomers are stabilized by shared lipid binding sites between neighboring monomers acting akin to double-sided tape. We show that already small GSDMDNT oligomers form stable, water-filled and ion-conducting membrane pores bounded by curled beta-sheets. In large-scale simulations, we resolve the process of pore formation by lipid detachment from GSDMDNT arcs and lipid efflux from partial rings. We find that that high-order GSDMDNT oligomers can crack under the line tension of 86 pN created by an open membrane edge to form the slit pores or closed GSDMDNT rings seen in experiment. Our simulations provide a detailed view of key steps in GSDMDNT-induced plasma membrane pore formation, including sublytic pores that explain nonselective ion flux during early pyroptosis.
Gasdermin-D (GSDMD) is the ultimate effector of pyroptosis, a form of programmed cell death associated with pathogen invasion and inflammation. After proteolytic cleavage by caspases, the GSDMD N-terminal domain (GSDMDNT) assembles on the inner leaflet of the plasma membrane and induces the formation of membrane pores. We use atomistic molecular dynamics simulations to study GSDMDNT monomers, oligomers, and rings in an asymmetric plasma membrane mimetic. We identify distinct interaction motifs of GSDMDNT with phosphatidylinositol-4,5-bisphosphate (PI(4,5)P2) and phosphatidylserine (PS) headgroups and describe their conformational dependence. Oligomers are stabilized by shared lipid binding sites between neighboring monomers acting akin to double-sided tape. We show that already small GSDMDNT oligomers support stable, water-filled, and ion-conducting membrane pores bounded by curled beta-sheets. In large-scale simulations, we resolve the process of pore formation from GSDMDNT arcs and lipid efflux from partial rings. We find that high-order GSDMDNT oligomers can crack under the line tension of 86 pN created by an open membrane edge to form the slit pores or closed GSDMDNT rings seen in atomic force microscopy experiments. Our simulations provide a detailed view of key steps in GSDMDNT-induced plasma membrane pore formation, including sublytic pores that explain nonselective ion flux during early pyroptosis.
Die vorgelegte Dissertation behandelt den Einfluss homöostatischer Adaption auf die Informationsverarbeitung und Lenrprozesse in neuronalen Systemen. Der Begriff Homöostase bezeichnet die Fähigkeit eines dynamischen Systems, bestimmte interne Variablen durch Regelmechanismen in einem dynamischen Gleichgewicht zu halten. Ein klassisches Beispiel neuronaler Homöostase ist die dynamische Skalierung synaptischer Gewichte, wodurch die Aktivität bzw. Feuerrate einzelner Neuronen im zeitlichen Mittel konstant bleibt. Bei den von uns betrachteten Modellen handelt es sich um eine duale Form der neuronalen Homöostase. Das bedeutet, dass für jedes Neuron zwei interne Parameter an eine intrinsische Variable wie die bereits erwähnte mittlere Aktivität oder das Membranpotential gekoppelt werden. Eine Besonderheit dieser dualen Adaption ist die Tatsache, dass dadurch nicht nur das zeitliche Mittel einer dynamischen Variable, sondern auch die zeitliche Varianz, also die stärke der Fluktuation um den Mittelwert, kontrolliert werden kann. In dieser Arbeit werden zwei neuronale Systeme betrachtet, in der dieser Aspekt zum Tragen kommt.
Das erste behandelte System ist ein sogennantes Echo State Netzwerk, welches unter die Kategorie der rekurrenten Netzwerke fällt. Rekurrente neuronale Netzwerke haben im Allgemeinen die Eigenschaft, dass eine Population von Neuronen synaptische Verbindungen besitzt, die auf die Population selbst projizieren, also rückkoppeln. Rekurrente Netzwerke können somit als autonome (falls keinerlei zusätzliche externe synaptische Verbindungen existieren) oder nicht-autonome dynamische Systeme betrachtet werden, die durch die genannte Rückkopplung komplexe dynamische Eigenschaften besitzen. Abhängig von der Struktur der rekurrenten synaptischen Verbindungen kann beispielsweise Information aus externem Input über einen längeren Zeitraum gespeichert werden. Ebenso können dynamische Fixpunkte oder auch periodische bzw. chaotische Aktivitätsmuster entstehen. Diese dynamische Vielseitigkeit findet sich auch in den im Gehirn omnipräsenten rekurrenten Netzwerken und dient hier z.B. der Verarbeitung sensorischer Information oder der Ausführung von motorischen Bewegungsmustern. Das von uns betrachtete Echo State Netzwerk zeichnet sich dadurch aus, dass rekurrente synaptische Verbindungen zufällig generiert werden und keiner synaptischen Plastizität unterliegen. Verändert werden im Zuge eines Lernprozesses nur Verbindungen, die von diesem sogenannten dynamischen Reservoir auf Output-Neuronen projizieren. Trotz der Tatsache, dass dies den Lernvorgang stark vereinfacht, ist die Fähigkeit des Reservoirs zur Verarbeitung zeitabhängiger Inputs stark von der statistischen Verteilung abhängig, die für die Generierung der rekurrenten Verbindungen verwendet wird. Insbesondere die Varianz bzw. die Skalierung der Gewichte ist hierbei von großer Bedeutung. Ein Maß für diese Skalierung ist der Spektralradius der rekurrenten Gewichtsmatrix.
In vorangegangenen theoretischen Arbeiten wurde gezeigt, dass für das betrachtete System ein Spektralradius nahe unterhalb des kritischen Wertes von 1 zu einer guten Performance führt. Oberhalb dieses Wertes kommt es im autonomen Fall zu chaotischem dynamischen Verhalten, welches sich negativ auf die Informationsverarbeitung auswirkt. Der von uns eingeführte und als Flow Control bezeichnete duale Adaptionsmechanismus zielt nun darauf ab, über eine Skalierung der synaptischen Gewichte den Spektralradius auf den gewünschten Zielwert zu regulieren. Essentiell ist hierbei, dass die verwendete Adaptionsdynamik im Sinne der biologischen Plausibilität nur auf lokale Größen zurückgreift. Dies geschieht im Falle von Flow Control über eine Regulation der im Membranpotential der Zelle auftretenden Fluktuationen. Bei der Evaluierung der Effektivität von Flow Control zeigte sich, dass der Spektralradius sehr präzise kontrolliert werden kann, falls die Aktivitäten der Neuronen in der rekurrenten Population nur schwach korreliert sind. Korrelationen können beispielsweise durch einen zwischen den Neuronen stark synchronisierten externen Input induziert werden, der sich dementsprechend negativ auf die Präzision des Adaptionsmechanismus auswirkt.
Beim Testen des Netzwerks in einem Lernszenario wirkte sich dieser Effekt aber nicht negativ auf die Performance aus: Die optimale Performance wurde unabhängig von der stärke des korrelierten Inputs für einen Spektralradius erreicht, der leicht unter dem kritischen Wert von 1 lag. Dies führt uns zu der Schlussfolgerung, dass Flow Control unabhängig von der Stärke der externen Stimulation in der Lage ist, rekurrente Netze in einen für die Informationsverarbeitung optimalen Arbeitsbereich einzuregeln.
Bei dem zweiten betrachteten Modell handelt es sich um ein Neuronenmodell mit zwei Kompartimenten, welche der spezifischen Anatomie von Pyramidenneuronen im Kortex nachempfunden ist. Während ein basales Kompartiment synaptischen Input zusammenfasst, der in Dendriten nahe des Zellkerns auftritt, repräsentiert das zweite apikale Kompartiment die im Kortex anzutreffende komplexe dendritische Baumstruktur. In früheren Experimenten konnte gezeigt werden, dass eine zeitlich korrelierte Stimulation sowohl im basalen als auch apikalen Kompartiment eine deutlich höhere neuronale Aktivität hervorrufen kann als durch Stimulation nur einer der beiden Kompartimente möglich ist. In unserem Modell können wir zeigen, dass dieser Effekt der Koinzidenz-Detektion es erlaubt, den Input im apikalen Kompartiment als Lernsignal für synaptische Plastizität im basalen Kompartiment zu nutzen. Duale Homöostase kommt auch hier zum Tragen, da diese in beiden Kompartimenten sicherstellt, dass sich der synaptische Input hinsichtlich des zeitlichen Mittels und der Varianz in einem für den Lernprozess benötigten Bereich befindet. Anhand eines Lernszenarios, das aus einer linearen binären Klassifikation besteht, können wir zeigen, dass sich das beschriebene Framework für biologisch plausibles überwachtes Lernen eignet.
Die beiden betrachteten Modelle zeigen beispielhaft die Relevanz dualer Homöostase im Hinblick auf zwei Aspekte. Das ist zum einen die Regulation rekurrenter neuronaler Netze in einen dynamischen Zustand, der für Informationsverarbeitung optimal ist. Der Effekt der Adaption zeigt sich hier also im Verhalten des Netzwerks als Ganzes. Zum anderen kann duale Homöostase, wie im zweiten Modell gezeigt, auch für Plastizitäts- und Lernprozesse auf der Ebene einzelner Neuronen von Bedeutung sein. Während neuronale Homöostase im klassischen Sinn darauf beschränkt ist, Teile des Systems möglichst präzise auf einen gewünschten Mittelwert zu regulieren, konnten wir Anhand der diskutierten Modelle also darlegen, dass eine Kontrolle des Ausmaßes von Fluktuationen ebenfalls Einfluss auf die Funktionalität neuronaler Systeme haben kann.
The electrical and computational properties of neurons in our brains are determined by a rich repertoire of membrane-spanning ion channels and elaborate dendritic trees. However, the precise reason for this inherent complexity remains unknown. Here, we generated large stochastic populations of biophysically realistic hippocampal granule cell models comparing those with all 15 ion channels to their reduced but functional counterparts containing only 5 ion channels. Strikingly, valid parameter combinations in the full models were more frequent and more stable in the face of perturbations to channel expression levels. Scaling up the numbers of ion channels artificially in the reduced models recovered these advantages confirming the key contribution of the actual number of ion channel types. We conclude that the diversity of ion channels gives a neuron greater flexibility and robustness to achieve target excitability.
We present SU(3) lattice Yang-Mills data for hybrid static potentials from five ensembles with different small lattice spacings and the corresponding parametrizations for quark-antiquark separations 0.08fm≤r≤1.12fm. We remove lattice discretization errors at tree level of perturbation theory and partly at order a2 as well as the a-dependent self energy. In particular the tree-level improvement of static potentials is discussed in detail and two methods are compared. The resulting parametrizations are expected to represent continuum limit results for hybrid static potentials within statistical errors.
We point out that the variance of net-baryon distribution normalized by the Skellam distribution baseline, κ2[B−B¯]/〈B+B¯〉, is sensitive to the possible modification of (anti)baryon yields due to BB¯ annihilation in the hadronic phase. The corresponding measurements can thus place stringent limits on the magnitude of the BB¯ annihilation and its inverse reaction. We perform Monte Carlo simulations of the hadronic phase in Pb-Pb collisions at the LHC via the recently developed subensemble sampler + UrQMD afterburner and show that the effect survives in net-proton fluctuations, which are directly accessible experimentally. The available experimental data of the ALICE Collaboration on net-proton fluctuations disfavors a notable suppression of (anti)baryon yields in BB¯ annihilations predicted by the present version of UrQMD if only global baryon conservation is incorporated. On the other hand, the annihilations improve the data description when local baryon conservation is imposed. The two effects can be disentangled by measuring κ2[B+B¯]/〈B+B¯〉, which at the LHC is notably suppressed by annihilations but virtually unaffected by baryon number conservation.
Recent data of the HADES Collaboration in Au+Au central collisions at sNN=2.4 GeV indicate large proton number fluctuations inside one unit of rapidity around midrapidity. This can be a signature of critical phenomena due to the strong attractive interactions between baryons. We study an alternative hypothesis that these large fluctuations are caused by the event-by-event fluctuations of the number of bare protons, and no interactions between these protons are assumed. The proton number fluctuations in five symmetric rapidity intervals Δy inside the region ΔY=1 are calculated using the binomial acceptance procedure. This procedure assumes the independent (uncorrelated) emission of protons, and it appears to be in agreement with the HADES data. To check this simple picture we suggest to calculate the correlation between proton multiplicities in non-overlapping rapidity intervals Δy1 and Δy2 placed inside ΔY=1.
Recent lattice QCD results, comparing to a hadron resonance gas model, have shown the need for hundreds of particles in hadronic models. These extra particles influence both the equation of state and hadronic interactions within hadron transport models. Here, we introduce the PDG21+ particle list, which contains the most up-to-date database of particles and their properties. We then convert all particles decays into 2 body decays so that they are compatible with SMASH in order to produce a more consistent description of a heavy-ion collision.
The discovery of superconductivity in layered vanadium-based kagome metals AV3Sb5 (A: K, Rb, Cs) has added a new family of materials to the growing class of possible unconventional superconductors. However, the nature of the superconducting pairing in these materials remains elusive. We present a microscopic theoretical study of the leading superconducting instabilities on the kagome lattice based on spin- and charge-fluctuation mediated Cooper pairing. The applied methodology includes effects of both on-site and nearest-neighbor repulsive Coulomb interactions. Near the upper van Hove filling -- relevant for the AV3Sb5 materials -- we find a rich phase diagram with several pairing symmetries being nearly degenerate. In particular, while a substantial fraction of the phase diagram is occupied by a spin-singlet order parameter transforming as a two-dimensional irreducible representation of the point group, several nodal spin-triplet pairing states remain competitive. We compute the band and interaction parameter-dependence of the hierarchy of the leading superconducting instabilities, and determine the detailed momentum dependence of the resulting preferred gap structures. Crucially, for moderate values of the interaction parameters, the individual pairing states depend strongly on momentum and exhibit multiple nodes on the Fermi surface. We discuss the properties of these superconducting gap structures in light of recent experimental developments of the AV3Sb5 materials.
The families of organic charge-transfer salts 𝜅-(BEDT-TTF)2𝑋 and 𝜅-(BETS)2𝑋, where BEDT-TTF and BETS stand for the organic donor molecules C10H8S8 and C10H8S4Se4, respectively, and X for an inorganic electron acceptor, have been proven to serve as a powerful playground for the investigation of the physics of frustrated Mott insulators. These materials have been ascribed a model character, since the dimerization of the organic molecules allows to map these materials onto a single band Hubbard model, in which the dimers reside on an anisotropic triangular lattice. By changing the inorganic unit X or applying physical pressure, the correlation strength and anisotropy of the triangular lattice can be varied. This has led to the discovery of a variety of exotic phenomena, including quantum-spin liquid states, a plethora of long-range magnetic orders in proximity to a Mott metal-insulator transition, and unconventional superconductivity. While many of these phenomena can be described within this effective one-band Hubbard model on a triangular lattice, it has become evident in recent years that this simplified description is insufficient to capture all observed magnetic and electronic properties. The ingredients for generalized models that are relevant include, but are not limited to, spin-orbit coupling, intra-dimer charge and spin degrees of freedom, electron-lattice coupling, as well as disorder effects. Here, we review selected theoretical and experimental discoveries that clearly demonstrate the relevance thereof. At the same time, we outline that these aspects are not only relevant to this class of organic charge-transfer salts, but are also receiving increasing attention in other classes of inorganic strongly correlated electron systems. This reinforces the model character that the 𝜅-phase organic charge-transfer salts have for understanding and discovering novel phenomena in strongly correlated electron systems from a theoretical and experimental point of view.
Correlations between the harmonic flow coefficients v1, v2, v3 and v4 of nucleons in semi-peripheral Au+Au collisions at a beam energy of 1.23 AGeV are investigated within the hadronic transport approach ultra-relativistic quantum molecular dynamics (UrQMD). In contrast to ultra-relativistic collision energies (where the flow coefficients are evaluated with respect to the respective event plane), we predict strong correlations between the flow harmonics with respect to the reaction plane. Based on an event-by-event selection of the midrapidity final state elliptic flow of nucleons we show that as a function of rapidity, (I) the sign of the triangular flow changes, (II) that the shape of v4 changes from convex to concave, and (III) that v3∝v1v2 and v4∝v22 for all different event classes, indicating strong correlations between all investigated harmonic flow coefficients.
We introduce a novel approach based on elastic and inelastic scattering rates to extract the hyper-surface of the chemical freeze-out from a hadronic transport simulation. We use the Ultra-relativistic Quantum Molecular Dynamics (UrQMD) model to extract the chemical freeze-out hyper-surface of pions and kaons in the energy range from Elab = 1:23A GeV to √SNN = 7.7 GeV. By employing a coarse-graining procedure, we can extract the local temperature T and baryo-chemical potential μB on the chemical freeze-out surface and compare them to results from statistical model analysis. We find good agreement between the pion chemical freeze-out line extracted from the simulation and the freeze-out line from the statistical model extracted from data. In addition the simulations also hint towards the existence of a flavor hierarchy similar to the one observed in recent lattice QCD calculations.
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.