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Institute
- Physik (352) (remove)
We examine the thermodynamic behavior of a static neutral regular (non-singular) black hole enclosed in a finite isothermal cavity. The cavity enclosure helps us investigate black hole systems in a canonical or a grand canonical ensemble. Here we demonstrate the derivation of the reduced action for the general metric of a regular black hole in a cavity by considering a canonical ensemble. The new expression of the action contains quantum corrections at short distances and concludes to the action of a singular black hole in a cavity at large distances. We apply this formalism to the noncommutative Schwarzschild black hole, in order to study the phase structure of the system. We conclude to a possible small/large stable regular black hole transition inside the cavity that exists neither at the system of a classical Schwarzschild black hole in a cavity, nor at the asymptotically flat regular black hole without the cavity. This phase transition seems to be similar with the liquid/gas transition of a Van der Waals gas.
We study the diffusion properties of the strongly interacting quark-gluon plasma (sQGP) and evaluate the diffusion coefficient matrix for the baryon (B), strange (S) and electric (Q) charges—κqq′ (q,q′=B,S,Q) and show their dependence on temperature T and baryon chemical potential μB. The nonperturbative nature of the sQGP is evaluated within the dynamical quasiparticle model (DQPM) which is matched to reproduce the equation of state of the partonic matter above the deconfinement temperature Tc from lattice QCD. The calculation of diffusion coefficients is based on two methods: (i) the Chapman-Enskog method for the linearized Boltzmann equation, which allows to explore nonequilibrium corrections for the phase-space distribution function in leading order of the Knudsen numbers as well as (ii) the relaxation time approximation (RTA). In this work we explore the differences between the two methods. We find a good agreement with the available lattice QCD data in case of the electric charge diffusion coefficient (or electric conductivity) at vanishing baryon chemical potential as well as a qualitative agreement with the recent predictions from the holographic approach for all diagonal components of the diffusion coefficient matrix. The knowledge of the diffusion coefficient matrix is also of special interest for more accurate hydrodynamic simulations.
The present research in high energy physics as well as in the nuclear physics requires the use of more powerful and complex particle accelerators to provide high luminosity, high intensity, and high brightness beams to experiments. With the increased technological complexity of accelerators, meeting the demand of experimenters necessitates a blend of accelerator physics with technology. The problem becomes severe when optimization of beam quality has to be provided in accelerator systems with thousands of free parameters including strengths of quadrupoles, sextupoles, RF voltages, etc. Machine learning methods and concepts of artificial intelligence are considered in various industry and scientific branches, and recently, these methods are used in high energy physics mainly for experiments data analysis.
In Accelerator Physics the machine learning approach has not found a wide application yet, and in general the use of these methods is carried out without a deep understanding on their effectiveness with respect to more traditional schemes or other alternative approaches. The purpose of this PhD research is to investigate the methods of machine learning applied to accelerator optimization, accelerator control and in particular on optics measurements and corrections. Optics correction, maximization of acceptance, and simultaneous control of various accelerator components such as focusing magnets is a typical accelerator scenario. The effectiven- ess of machine learning methods in a complex system such as the Large Hadron Collider, which beam dynamics exhibits nonlinear response to machine settings is the core of the study. This work presents successful application of several machine learning techniques such as clustering, decision trees, linear multivariate models and neural networks to beam optics measurements and corrections at the LHC, providing the guidelines for incorporation of machine learning techniques into accelerator operation and discussing future opportunities and potential work in this field.
The main subject of this thesis is the study of hadron and photon production in relativistic heavy-ion collisions by means of hydrodynamics+transport approaches. Two different kinds of such hybrid approaches are employed in this work, the SMASH-vHLLE-hybrid and a MUSIC+SMASH hybrid. While the former is capable of simulating heavy-ion collisions covering a wide range of collision energies down to √s = 4.3 GeV, reproducing the correct baryon stopping powers, the latter provides a framework to consistently model photon production in the hadronic stage of high-energy heavy-ion collisions.
The SMASH-vHLLE-hybrid is a novel state-of-the-art hybrid approach whose development constitutes a major contribution to this thesis. It couples the hadronic transport SMASH to the 3+1D viscous hydrodynamics approach vHLLE. Therein, SMASH is employed to provide the fluctuating 3D initial conditions and to model the late hadronic rescattering stage, and vHLLE for the fluid dynamical evolution of the hot and dense fireball. The initial conditions are provided on a hypersurface of constant proper time, and the macroscopic evolution of the fireball is carried out down to an energy density of ecrit = 0.5 GeV/fm3, where particlization occurs. Consistency at the interfaces is verified in view of global, on-average quantum number conservation and the SMASH-vHLLE-hybrid is validated by comparison to SMASH+CLVisc as well as UrQMD+vHLLE hybrid approaches. The establishment of the SMASH-vHLLE-hybrid to theoretically describe heavy-ion collisions at intermediate and high collision energies forms a basis for a range of extensions and future research projects. It is further made available to the heavy-ion community by virtue of being published on Github.
The SMASH-vHLLE-hybrid is applied to simulate Au+Au/Pb+Pb collisions between √s = 4.3 GeV and √s = 200.0 GeV. A good agreement with the experimentally measured rapidity and transverse mass spectra is obtained. In particular the baryon stopping dynamics are well reproduced at low, intermediate, and high collision energies. Excitation functions for the mid-rapidity yield and mean transverse momentum of pions, protons and kaons are demonstrated to agree well with their experimentally measured counterpart. These results further validate the approach and provide a solid baseline for potential future studies. The importance of annihilations and regenerations of protons and anti-protons is additionally investigated in Au+Au/Pb+Pb collisions between √s = 17.3 GeV and √s = 5.02 TeV with the SMASH-vHLLE-hybrid. It is found that, regarding the p + p ̄ ↔ 5 π reaction, 20-50% (depending on the rapidity range) of the (anti-)proton yield lost to annihila- tions in the hadronic rescattering stage is restored owing to the back reaction. The back reaction thus constitutes a non-negligible contribution to the final (anti-)proton yield and should not be neglected when modelling the late rescattering stage of heavy-ion collisions.
The MUSIC+SMASH hybrid is a hybrid approach ideally suited to model the production of photons in relativistic heavy-ion collisions. Therein, the macroscopic production of photons in the hadronic stage in MUSIC relies on the identical effective field theories as the photon cross sections implemented in SMASH for the microscopic production. The MUSIC+SMASH hybrid thus provides the first consistent framework to the end of hadronic photon production. It accounts for 2 → 2 scattering processes of the kind π + ρ → π + γ and pion bremsstrahlung processes π + π → π + π + γ. The MUSIC+SMASH hybrid is employed in an ideal 2D setup to systematically assess the importance of non-equliibrium dynamics in the hadronic rescattering stage on mid-rapidity transverse momentum spectra and elliptic flow of photons at RHIC/LHC energies. This is achieved by comparing the outcome of the MUSIC+SMASH hybrid, involving an out-of-equilibrium late rescattering stage, to macroscopically approximating late stage photon production by means of MUSIC, employed down to temperatures well below the switching temperature. It is found that non-equilibrium dynamics have only minor implications for photon transverse momentum spectra, but significantly enhance the photon elliptic flow. At RHIC energies, an enhancement of up to 70%, and at LHC of up to 65% is observed in the non-equilibrium afterburner as compared to its hydrodynamical counterpart. In combination with the large amount of photons produced above the particlization temperature, these differences are modest regarding the transverse momentum spectra, but a significant enhancement of the elliptic flow is observed at low transverse momenta. Below pT ≈ 1.4 GeV, the combined v2 is enhanced by up to 30% at RHIC, and up to 20% at the LHC within the non-equilibrium setup as compared to its approximation via hydrodynamics. Non-equilibrium dynamics in the hadronic rescattering stage are hence important, especially in view of momentum anisotropies at low transverse momenta. These findings thus contribute to the understanding of low-pT photons produced in heavy-ion collisions at RHIC/LHC energies and the MUSIC+SMASH hybrid employed for this study provides a baseline for additional studies regarding photon production in the future.
To summarize, the approaches and frameworks presented in this thesis provide a good baseline for further extensions and studies in order to improve the understanding of hadron and photon production in relativistic heavy-ion collisions across a wide range of collision energies. More broadly, such future studies of hadrons and photons may contribute to enhance the understandig of the properties of the fundamental building blocks of matter, of which everything that surrounds us is made of.
Stationarity of the constituents of the body and of its functionalities is a basic requirement for life, being equivalent to survival in first place. Assuming that the resting state activity of the brain serves essential functionalities, stationarity entails that the dynamics of the brain needs to be regulated on a time-averaged basis. The combination of recurrent and driving external inputs must therefore lead to a non-trivial stationary neural activity, a condition which is fulfiled for afferent signals of varying strengths only close to criticality. In this view, the benefits of working in the vicinity of a second-order phase transition, such as signal enhancements, are not the underlying evolutionary drivers, but side effects of the requirement to keep the brain functional in first place. It is hence more appropriate to use the term 'self-regulated' in this context, instead of 'self-organized'.
Liquid-jet photoelectron spectroscopy was applied to determine the first acid dissociation constant (pKa) of aqueous-phase glucose while simultaneously identifying the spectroscopic signature of the respective deprotonation site. Valence spectra from solutions at pH values below and above the first pKa reveal a change in glucose’s lowest ionization energy upon the deprotonation of neutral glucose and the subsequent emergence of its anionic counterpart. Site-specific insights into the solution-pH-dependent molecular structure changes are also shown to be accessible via C 1s photoelectron spectroscopy. The spectra reveal a considerably lower C 1s binding energy of the carbon site associated with the deprotonated hydroxyl group. The occurrence of photoelectron spectral fingerprints of cyclic and linear glucose prior to and upon deprotonation are also discussed. The experimental data are interpreted with the aid of electronic structure calculations. Our findings highlight the potential of liquid-jet photoelectron spectroscopy to act as a site-selective probe of the molecular structures that underpin the acid–base chemistry of polyprotic systems with relevance to environmental chemistry and biochemistry.
The putative effects of dark matter are most easily explained by a collisionless fluid on cosmological scales and by Modified Newtonian Dynamics (MOND) on galactic scales. Hybrid MOND dark matter models combine the successes of dark matter on cosmological scales and those of MOND on galactic scales. An example of such a model is superfluid dark matter (SFDM) which postulates that this differing behavior with scale is caused by a single underlying substance with two phases. In this thesis, I highlight successful observational tests of SFDM regarding strong lensing and the Milky Way rotation curve. I also discuss three problems due to the double role of the aforementioned single underlying substance and show how these may be avoided. Finally, I introduce a novel Cherenkov radiation constraint for hybrid MOND dark matter models. This constraint is different from standard modified gravity Cherenkov radiation constraints because such hybrid models allow even non-relativistic objects like stars to emit Cherenkov radiation.
Das Feld der Hochenergie-Schwerionenforschung hat sich der Untersuchung des Quark-Gluon-Plasmas (QGP) gewidmet. Ein QGP ist ein sehr heißer und dichter Materiezustand, der kurz nach dem Urknall für einige Mikrosekunden das Universum füllte. Unter diesen extremen Bedingungen sind die fundamentalen Bausteine der Materie, die Quarks und Gluonen, quasi frei, also nicht in Hadronen eingeschlossen, wie es unter normalen Bedingungen der Fall ist. Hadronen sind Teilchen, die aus Quarks und Gluonen bestehen. Die bekanntesten Hadronen sind Protonen und Neutronen, die Bestandteile von Atomkernen, aus denen, zusammen mit Elektronen, die gesamte bekannte Materie aufgebaut ist.
Um ein QGP im Labor zu erzeugen, lässt man ultrarelativistische schwere Ionen, wie zum Beispiel Pb-208-Kerne, aufeinander prallen. Dies geschieht am CERN, dem größten Kernforschungszentrum der Welt. Der Teilchenbeschleuniger, welcher Protonen und Pb-Kerne beschleunigt und zur Kollision bringt, heißt Large Hadron Collider (LHC) und ist mit 27 km Umfang der größte der Welt. Bei einer einzigen Pb-Pb Kollision am LHC werden mehrere Tausend Teilchen und Antiteilchen erzeugt. Das dedizierte Experiment zur Untersuchung von Schwerionenkollisionen am LHC ist ALICE. ALICE ist mit mehreren Teilchendetektoren ausgerüstet, die es ermöglichen, tausende Teilchen gleichzeitig zu messen und zu identifizieren.
Unter den produzierten Teilchen befinden sich auch leichte Atomkerne, wenngleich diese nur sehr selten erzeugt werden. Die Anzahl der produzierten Teilchen pro Teilchensorte hängt nämlich von deren Masse ab. In Pb-Pb Kollisionen am LHC sinkt die Anzahl der produzierten (Anti)kerne exponentiell um einen Faktor 1/330 bei Hinzufügen jedes weiteren Nukleons. Die Menge an produzierten Teilchen pro Spezies stellt Informationen über den Produktionsmechanismus beim Übergang vom QGP zum Hadrongas zur Verfügung. Hierbei sind leichte (Anti)kerne von besonderem Interesse, da sie vergleichsweise groß sind und ihre Bindungsenergie bis zu zwei Größenordnungen kleiner ist als die Temperaturen, die bei der Erzeugung der Hadronen vorherrschen. Es ist bis heute noch nicht verstanden, wie leichte (Anti)kerne bei diesen Bedingungen erzeugt werden und überleben können.
Für diese Arbeit wurden ca. 270 Millionen Pb-Pb Kollisionen bei einer Schwerpunktsenergie von 5,02 TeV, die von ALICE im November 2018 aufgezeichnet wurden, analysiert. Es wurde die Produktion von (Anti)triton und (Anti)alpha untersucht. Wegen ihrer großen Masse werden beide Kerne sehr selten produziert, bei weitem nicht bei jeder Kollision. Antialpha ist der schwerste Antikern, der jemals gemessen wurde. Aufgrund dieser Seltenheit ist die Größe des zur Verfügung stehenden Datensatzes entscheidend. Es war möglich, das erste jemals gemessene Antialpha-Transversalimpulsspektrum zu extrahieren. Auch für (Anti)triton und Alpha wurden Transversalimpulsspektren bestimmt.
Die Ergebnisse wurden mit theoretischen Modellen und anderen ALICE Messungen verglichen.
Am Ende wird in einem Ausblick auf das kürzlich durchgeführte Upgrade der ALICE Spurendriftkammer (TPC) eingegangen. In der nächsten, bald startenden Datennahmeperiode wird der LHC seine Kollisionsrate erheblich erhöhen, was es ermöglichen wird, mehr als 100 mal so viele Daten wie bisher aufzuzeichnen. Hiervon werden die in dieser Arbeit beschriebenen (Anti)triton- und (Anti)alpha-Analysen beachtlich profitieren. Um mit den erheblich höheren Kollisionsraten zurecht zu kommen, mussten einige Detektoren, unter anderem die TPC, maßgeblich erneuert werden. In den ersten beiden Datennahmeperioden wurde die TPC mit Vieldrahtproportionalkammern betrieben. Diese sind allerdings viel zu langsam für die geplanten Kollisionsraten. Deshalb wurden sie im Jahr 2019, während einer langen Betriebspause des LHC, durch Quadrupel-GEM (Gas Electron Multiplier) Folien basierte Auslesekammern ersetzt, welche eine kontinuierliche Auslese der TPC ermöglichen. Da es sich um die erste jemals gebaute GEM TPC im Großformat handelt, war ein umfangreiches Forschungs- und Entwicklungs- (F&E) Programm notwendig, um die GEM Auslesekammern zu charakterisieren und zu testen. Im Rahmen dieses F&E Programms wurden am Anfang dieser Promotion systematische Messungen an einer kleinen Test TPC mit Quadrupel-GEM Auslese, die extra zu diesem Zweck gebaut worden war, durchgeführt. Hierbei wurde der Rückfluss der bei der Gasverstärkung erzeugten Ionen in das Driftvolumen der TPC und die Energieauflösung mit verschiedenen GEM Folien Typen und unterschiedlicher Anordnung gemessen. Das Ziel war, möglichst kleine Ionenrückflüsse bei möglichst guter Energieauflösung zu erreichen. Hierbei musste ein Kompromiss gefunden werden, da die beiden Größen sich gegenläufig verhalten. Es war jedoch möglich, mit mehreren GEM Konfigurationen Spannungseinstellungen zu identifizieren, bei denen beide Größen den gewünschten Anforderungen entsprachen.
The QCD phase-diagram is studied, at finite magnetic field. Our calculations are based on the QCD effective model, the SU(3) Polyakov linear-sigma model (PLSM), in which the chiral symmetry is integrated in the hadron phase and in the parton phase, the up-, down- and strange-quark degrees of freedom are incorporated besides the inclusion of Polyakov loop potentials in the pure gauge limit, which are motivated by various underlying QCD symmetries. The Landau quantization and the magnetic catalysis are implemented. The response of the QCD matter to an external magnetic field such as magnetization, magnetic susceptibility and permeability has been estimated. We conclude that the parton phase has higher values of magnetization, magnetic susceptibility, and permeability relative to the hadron phase. Depending on the contributions to the Landau levels, we conclude that the chiral magnetic field enhances the chiral quark condensates and hence the chiral QCD phase-diagram, i.e. the hadron-parton phase-transition likely takes place, at lower critical temperatures and chemical potentials.
Diese Arbeit beschäftigt sich mit der Wasserkühlung einer normalleitenden CH-Kavität. Insbesondere stellt sich die Frage, ob die im CST Thermal Steady State Solver simulierten Temperaturen mit Messungen während High Power Tests übereinstimmen. Zusätzlich interessiert, inwiefern die Temperatur über die dissipierte Leistung aus dem CST Eigenmode Solver und dem gemessenen Volumenstrom im Kanal abgeschätzt werden kann. In dem Kontext wird auch geklärt, ob die Reihenschaltung der Mantelkanäle den Kühlanforderungen genügt.
Neben Volumenstrom- und Druckmessungen an den in Reihe und parallelgeschalteten Kanälen werden die Leistungs- und Temperaturwerte der Konditionierung in sämtlichen Simulationen aufgegriffen. Indem die Kavität in einzelne Sektionen unterteilt wird und in diesen die dissipierte Leistung mit dem Eigenmode Solver simuliert wird, die ein Kühlkanal abführt, werden die Temperaturerhöhungen direkt berechnet und verglichen.
Zusammengefasst hat sich der Durchfluss in kritischen Bauteilen wie den Stützen durch die Reihenschaltung der Mantelkanäle erhöht und wird damit empfohlen. Es werden die simulierten Temperaturverteilungen gezeigt. Die Näherung über den Eigenmode Solver liefert erneut für die thermisch belasteten Bauteile wie die Stützen präzise Vorhersagen.
Abschließend werden Erfahrungen aus dem Institut in dieser Arbeit zusammengetragen und die Verwendung des Steady State Solver freigegeben.