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Institute
- Physik (4154) (remove)
We study equilibrium as well as out-of-equilibrium properties of the strongly interacting QGP medium under extreme conditions of high temperature T and high baryon densities or baryon chemical potentials μB within a kinetic approach. We present the thermodynamic and transport properties of the QGP close to equilibrium in the framework of effective models with Nf=3 active quark flavours such as the Polyakov extended Nambu-Jona Lasinio (PNJL) and dynamical quasiparticle model with the CEP (DQPM-CP). Considering the transport coefficients and the EoS of the QGP phase, we compare our results with various results from the literature. Furthermore, out-of equilibrium properties of the QGP medium and in particular, the effect of a μB- dependence of thermodynamic and transport properties of the QGP are studied within the Parton-Hadron-String-Dynamics (PHSD) transport approach, which covers the full evolution of the system during HICs. We find that bulk observables and flow coefficients for strange hadrons as well as for antiprotons are more sensitive to the properties of the QGP, in particular to the μB - dependence of the QGP interactions.
Presolar grain isotopic ratios as constraints to nuclear physics inputs for s-process calculations
(2023)
The isotopic abundances in presolar SiC grains of AGB origin provide important and precise constraints to those star nucleosynthesis models. By comparing the values of the s-element abundances resulting from calculations with the ones measured in these dust grains, it turns out that new measurements of weak-interaction rates in ionized plasmas, as well as of neutron-capture cross sections, are needed, especially in the region near the neutron magic numbers 50 and 82.
Results on proton and Λ flow, calculated with the UrQMD model that incorporates different realistic density dependent equations of state, are presented. It is shown that the proton and hyperon flow shows sensitivity to the equation of state and especially to the appearance of a phase transition at densities below 4n0. Even though qualitatively hyperons and protons exhibit the same beam energy dependence of the flow, the quantitative results are different. In this context it is suggested that the hyperon measurements can be used to study the density dependence of the hyperon interaction in high density QCD matter.
We introduce a novel technique that utilizes a physics-driven deep learning method to reconstruct the dense matter equation of state from neutron star observables, particularly the masses and radii. The proposed framework involves two neural networks: one to optimize the EoS using Automatic Differentiation in the unsupervised learning scheme; and a pre-trained network to solve the Tolman–Oppenheimer–Volkoff (TOV) equations. The gradient-based optimization process incorporates a Bayesian picture into the proposed framework. The reconstructed EoS is proven to be consistent with the results from conventional methods. Furthermore, the resulting tidal deformation is in agreement with the limits obtained from the gravitational wave event, GW170817.
A single wavelength heterodyne interferometer has been set up to investigate the free electron density integrated axially along the line of sight (line density) in a theta-pinch plasma to determine its applicability as a plasma target for ion beam stripping. The maximal line density reached in this experiment was (3.57 ± 0.28) × 1018 cm−2 at 80 Pa and 20 kV. The findings demonstrate the pulsed character of the line density and its increase by raising the load voltage and the working gas pressure. Additionally, the results were compared with spectroscopic free electron density estimations, which were carried out by Hβ -line broadening and peak separation. The time behavior of the line density indicates that its peak value is delayed by about 10 μs compared to the spectroscopic results. This effect is due to the formation of an extended, magnetically compressed plasma column in the vicinity of the current maximum, although the highest volumetric free electron density is reached near the current zero crossing. Since the line density is an essential parameter in describing the stripping capabilities of the plasma target, the interferometric diagnostic is superior to a spectroscopic diagnostic, because it directly provides integrated values along the line of sight. Furthermore, the measurements of the line density in this experiment partially show nonphysical negative values, which is due to gaseous effects and residual shot vibrations.
This thesis aims to investigate the properties of hadronic matter by analyzing fluctuations of conserved charges. A transport model (SMASH) is used for these studies to achieve this. The first part of this thesis focuses on examining transport coefficients, specifically the diffusion coefficients of conserved charges and the shear viscosity. The second part investigates equal-time correlations of particle numbers in the form of cumulants. The last chapter studies different aspects of the isobar collision systems Ru and Zr.
As a first step, the hadronic medium and interactions between its constituents are introduced, and simultaneously, their impact on transport coefficients is investigated. The methodology is verified by comparing the results of SMASH with Chapman-Enskog calculations, followed by examining 3-to-1 multi-particle reactions, revealing their influence on shear viscosity and electrical diffusion. The analysis of the full hadron gas considers angle-dependent cross-sections and additional elastic cross-sections via the AQM description, showing significant impacts on transport coefficients. The dependency on the number of degrees of freedom is explored, with noticeable effects on diffusion coefficients but a smaller influence on the shear viscosity. At non-zero baryon chemical potential, the diffusion coefficients are strongly influenced, while the shear viscosity remains unaffected. Overall, the study underscores the importance of individual cross-sections and the modeling of interactions on transport coefficients.
The following chapter explores fluctuations of conserved charges, crucial for understanding phase transitions in heavy-ion collision from the quark-gluon plasma to the hadronic phase. Using SMASH, the impact of global charge conservation on particle number cumulants in subvolumes of boxes simulating infinite matter is studied. Comparisons with simpler systems highlights the influence of hadronic interactions on cumulants, especially via charge annihilation processes and the results from SMASH shows agreement with analytical calculations. Calculations at finite baryon chemical potential reveals a transition from a Poisson to Skellam distribution within the net proton cumulants. It is shown that an unfolding procedure to obtain the net baryon fluctuations from the net proton ones deviates from the actual net baryon result, particularly in larger volumes. Finally, net proton correlations at vanishing baryon chemical potential align with ALICE measurements and the net proton cumulants are unaffected by deuteron formation.
In the next step, the goal is to investigate critical fluctuations in the hadronic medium. Therefore, the hadronic system is initialized with critical equilibrium fluctuations by coupling the hadron resonance gas with the 3D Ising model. The single-particle probability distributions are derived from the principle of maximum entropy. Evolving these distributions in SMASH, their development in an expanding sphere adjusted to experimental conditions can be analyzed. It reveals resonance decay and formations as the primary source that affects the particle cumulants. Because of isospin randomization processes, critical fluctuations are better preserved in net nucleon numbers. However, for the strongest coupling investigated in this work, correlations of the critical field are still present in the final state of the evolution in the net proton fluctuations. Examining cumulant dependence on rapidity windows shows a non-monotonic trend.
In the third part, collisions involving the isobars Ru and Zr are studied at a center-of-mass energy of 200 GeV. Initially, SMASH is used to study the initial conditions to hydrodynamical simulations, emphasizing the importance of the nuclear structure of isobars on the geometry of the collision area. It is found that the deformation parameters notably influence the initial state. Correlations between nucleon-nucleon pairs on eccentricity fluctuations yield no significant effect. Subsequently, the hydrodynamic model vHLLE evolves the previously explored initial conditions and for the transition between the hydrodynamic and kinetic descriptions, the Cooper-Frye formula is used. Usage of the canonical ensemble ensures the exact conservation of the conserved charges B, Q, and S. The neutron skin effect, which changes the charge distribution within Ru nuclei, is additionally considered. Fluctuations are assessed, revealing suppression in large rapidity windows due to global charge conservation. The hadronic phase modifies fluctuations of net pions, net kaons, and net protons via annihilation processes, yet fluctuations remain unaffected by the neutron skin effect.
Die künstliche elektrische Stimulation bietet oftmals die einzige Möglichkeit, nicht vorhandene bzw. verloren gegangene motorische sowie sensorische Aktivitäten in gewissem Umfang wieder herzustellen. Im Falle von tauben Patienten wird zur Erlangung von Hörempfindungen die elektrische Stimulation des peripheren auditorischen Systems mit Hilfe von Cochlea- oder Hirnstammimplantaten standardmäßig eingesetzt. Es ist dabei notwendig, natürliche neuronale Entladungsmuster durch die elektrisch evozierten Entladungsmuster nachzubilden. Bei einkanaligen Systemen kann nur die Zeitstruktur des Signals dargeboten werden. Mehrkanalige Systeme bieten hier noch zusätzlich die Möglichkeit auch örtlich selektiv bestimmte Nervenfasergruppen zu stimulieren und damit die Ortsstruktur in den Entladungsmustern zu repräsentieren. So hat es sich gezeigt, dass die Sprachverständlichkeit durch Verwendung von Mehrkanal-Elektroden verbessert werden kann. Grundvoraussetzung hierfür ist die Optimierung der Kanalseparation durch Kleinst-Vielkanalelektroden und der Wahl einer optimalen Codierstrategie des Signals.
Die Codierstrategie ist abhängig von dem jeweiligen spezifischen Einsatzbereich. So gaben z.B. schon Clopton und Spelman (1995) zu bedenken, dass die als selektiv berechnete tripolare (S3) Konfiguration nur für einen bestimmten Stimulationsstrombereich gültig ist. Hinzu kommt es bei simultaner Verwendung benachbarter Kanäle zu schmerzhaften Lautheitssummationen. Ursache hierfür sind einerseits die Überlagerung der durch die Elektroden stimulierten neuronalen Bereiche und andererseits die Wechselwirkungen von Strömen benachbarter Elektrodenkanäle. Diese Effekte führen nicht nur zu einer Verringerung der räumlichen Stimulationsauflösung, sondern auch zu einer Einschränkung der exakten Abbildung der Zeitstruktur innerhalb der einzelnen Stimulationskanäle.
Die Techniken und Grundlagen der elektrischen Stimulation von neuronalem Gewebe mit Kleinst-Vielkanalelektroden sind bisher kaum untersucht worden. Ziel dieser Arbeit war es, ein mathematisches Modell zu implementieren und Qualitätsparameter zu definieren, mit deren Hilfe die Verteilung des elektrischen Feldes und die daraus resultierende neuronale Erregung beschrieben und optimiert werden kann. Zur Verifizierung des Modells sollten Methoden und Techniken entwickelt werden, die eine hochauflösende Abtastung der elektrischen Felder und Messung der neuronalen Daten innerhalb eines Messsystems ermöglichen.
Bei der neuronalen Stimulation mit Kleinst-Vielkanalelektroden ergibt sich eine Reihe von Problemen grundsätzlicher Art. So werden bei elektrodenferner Stimulation größere Stimulationsströme benötigt als bei elektrodennaher Stimulation, wobei für den Strombedarf die Stimulationskonfiguration eine entscheidende Rolle spielt: Der S1 Stimulationsmodus benötigt weniger Strom zur Erreichung großer Stimulationstiefen als der S2 Stimulationsmodus. Der größte Strom wird mit zunehmendem Elektrodenabstand gleichermaßen von dem S3 und S7 Stimulationsmodus benötigt. Gleichzeitig verfügen Kleinst-Vielkanalelektroden bauartbedingt aber nur über kleine Elektrodenkontaktoberflächen und lassen daher auf Grund der kritischen Feldstärke nur geringe Stimulationsströme zu.
Ein weiteres Problem besteht bei diesen Kleinst-Elektrodendimensionen in der konkreten Lage der Neurone an denen eine neuronale Erregung evoziert wird. Die Dimension der Kleinst-Vielkanalelektroden liegt bei einem Elektrodenkanalkontaktdurchmesser von 70 µm bereits in der Größenordnung der zu stimulierenden Neurone mit einem Durchmesser von 10 bis 15 µm. Dies macht sich bei den Messungen besonders dann deutlich bemerkbar, wenn nicht der Stimulationsstrom die Größe des überschwelligen Bereichs modelliert, sondern wenn der Elektrodenkanalabstand durch die Wahl der entsprechenden Elektrodenkanäle verändert wird. Hier weisen zwar die meisten neuronalen Antworten noch in die sich aus dem Modell ergebende Richtung, jedoch kommt es zu einer höheren Streuung der Ergebnisse als bei Messungen mit der Folienelektrode, die eine Kontaktfläche von 170 µm besitzt.
Es gibt also eine Reihe von begrenzenden Faktoren bei der optimalen Dimensionierung der Stimulationselektrode, die sowohl abhängig von der physiologischen Topologie ist als auch von den eingesetzten Stimulationskonfigurationen. Es ist also zur Stimulation die Wahl der optimalen Codierstrategie und die richtige Dimensionierung der Stimulationselektrode sowie der Elektrodenkanalabstände von entscheidender Bedeutung.
Die neuronalen Messungen wurden erstmalig für diese Fragestellung am Hirnschnitt durchgeführt, da sie, im Gegensatz zu in-vivo Versuchen, eine exakte Positionierung der Elektroden auf dem Hirnschnitt unter Sichtkontrolle durch das Mikroskop erlauben. Es wurden aus den neuronalen Messungen die Amplituden und Latenzen der exzitatorischen postsynaptischen Potenziale (EPSP) sowie der Feldpotenziale ausgewertet.
Der Versuchsaufbau macht es möglich, die Potenzialfelder mit genau den Konfigurationen abzutasten, mit denen auch die neuronalen Messungen des Hirnschnittes durchgeführt wurden. Das implementierte Programm zur Berechnung der Feldverteilung besitzt zum Messprogramm ein Interface, so dass es möglich ist, die Einstellungen des Experimentes, wie Stimulationskonfigurationen, Abtastraster des Feldes und die Koordinaten des Messraums, in der Modellrechnung zu verwenden. Somit ist ein direktes Vergleichen zwischen Messung und Berechnung möglich. In nachfolgenden Arbeiten können die vorliegenden Ergebnisse als Grundlage für in-vivo Versuche eingesetzt werden.
Zur Durchführung der Messungen wurden sehr kleine Elektroden aus eigener Herstellung verwendet und es wurden uns freundlicherweise neu entwickelte Folienelektroden des Fraunhofer Instituts St. Ingbert zur Verfügung gestellt. Die Größe der verwendeten Kleinst-Vielkanalelektroden aus eigener Herstellung lag um ca. eine Zehnerpotenz unter den aktuell eingesetzten Elektrodentypen und ist speziell für den direkten Kontakt zwischen Elektrode und Gewebe konzipiert. Dies entspricht dem typischen Einsatzbereich von Hirnstammimplantaten. Dies ist auch notwendig, um eine maximale räumliche Separation der erzeugten Felder zu ermöglichen. Außerdem erlaubte das Elektrodendesign auf Grund der hohen Anzahl der Elektrodenkanäle und durch variieren der Konfigurationen die Feldrichtung zu bestimmen, ohne die Elektrode neu auf den Hirnschnitt aufsetzen zu müssen.
Der in dieser Arbeit implementierte Algorithmus zur Berechnung der Feldverteilungen und die eingeführten Qualitätsparameter erlauben, die unterschiedlichen Stimulationskonfigurationen miteinander zu vergleichen und zu optimieren. Die Ergebnisse aus diesen Modellrechnungen wurden sowohl mit den Messungen der elektrischen Felder als auch mit den Ergebnissen aus den neuronalen Antworten verglichen.
Der im Rahmen dieser Arbeit erstellte Versuchsaufbau bestand aus einer über mehrere Mikromanipulatoren getriebene mikrometergenaue Positioniereinrichtung. Es konnten sowohl die Stimulationselektrode als auch die Elektrode zur Aufzeichnung der neuronalen Daten gesteuert werden. Die Steuerung des gesamten Setup, d.h. die Positionierung, die Aufzeichnung der neuronalen Daten und die Generierung der Stimulationsmuster wurde über den zentralen Messrechner durch ein hierfür entwickeltes Computerprogramm gesteuert. Die Versuche wurden über ein inverses Mikroskop durch eine CCD-Kamera aufgezeichnet.
Der entscheidende Vorteil des in dieser Arbeit gewählten Modellansatzes besteht in der grundsätzlichen Beschreibung der Feldverteilung bei vielkanaliger Stimulation, so dass diese auch auf andere Elektrodenformen bzw. Konfigurationen und Dimensionen übertragbar ist. Es lassen sich so den verschiedenen Konfigurationen nach bestimmten Qualitätskriterien bewerten und an die jeweilige Zielrichtung der Stimulation anpassen. Die berechneten Felder konnten erfolgreich in der Messeinrichtung generiert und nachgemessen werden. Außerdem ist es gelungen, differenzierte neuronale Aktivitäten auszuwerten, welche die Aussagen des Modells abstützen.
The appearance of strangeness in the form of hyperons within the inner core of neutron stars is expected to affect its detectable properties, such as its global structure or gravitational wave emission. This work explores the parameter space of hyperonic stars within the framework of the Relativistic Mean Field model allowed by the present uncertainties in the state-of-the-art nuclear and hypernuclear experimental data. We impose multi-physics constraints at different density regimes to restrict the parameter space: Chiral effective field theory, heavy-ion collision data, and multi-messenger astrophysical observations of neutron stars. We investigate possible correlations between empirical nuclear and hypernuclear parameters, particularly the symmetry energy and its slope, with observable properties of neutron stars. We do not find a correlation for the hyperon parameters and the astrophysical data. However, the inclusion of hyperons generates a tension between the astrophysical and heavy-ion data constraining considerably the available parameter space.
We investigate the role of the Pauli Exclusion Principle (PEP) for light nuclei, at the examples of 12C and 16O. We show that ignoring the PEP does lead not only to a too dense spectrum at low energy but also to a wrong grouping into bands. Using a geometrical mapping, a triangular structure for 12C and a tetrahedral structure in 16O in the ground state is obtained by using the indistinguishably of the α-particles.