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The central goal of this investigation is to describe the dynamic reaction of a multicellular tumour spheroid to treatment with radiotherapy. A focus will be on the triggered dynamic cell cycle reaction in the spheroid and how it can be employed within fractionated radiation schedules.
An agent-based model for cancer cells is employed which features inherent cell cycle progression and reactions to environmental conditions. Cells are represented spatially by a weighted, dynamic and kinetic Voronoi/Delaunay model which also provides for the identification of cells in contact within the multicellular aggregate. Force-based interaction between cells will lead to rearrangement in response to proliferation and can induce cell quiescence via a mechanism of pressure-induced contact inhibition. The evolution of glucose and oxygen concentration inside the tumour spheroid is tracked in a diffusion solver in correspondence to in vitro or in vivo boundary conditions and a corresponding local nutrient uptake by single cells.
Radiation effects are implemented based on the measured single cell survival in the linear-quadratic model. The survival probability will be affected by the radiosensitivity of the current cycle phase and the local oxygen concentration. Quiescent cells will reduce the effective dose they receive as a consequence of their increased radioresistance. The radiation model includes a fast response to fatal DNA damage through cell apoptosis and a slow response via cell loss due to misrepair during the radiation-induced G2-block.
A simplified model for drug delivery in chemotherapy is implemented.
The model can describe the growth dynamics of spheroids in accordance to experimental data, including total number of cells, histological structure and cell cycle distribution. Investigations of possible mechanisms for growth saturation reveal a critical dependence of tumour growth on the shedding rate of cells from the surface.
In response to a dose of irradiation, a synchronisation of the cell cycle progression within the tumour is observed. This will lead to cyclic changes in the overall radiation sensitivity of the tumour which are quantified using an enhancement measure in comparison to the expected radiosensitivity of he tumour. A transient strong peak in radiosensitivity enhancement is observed after administration of irradiation. Mechanisms which influence the peak timing and development are systematically investigated, revealing quiescence and reactivation of cells to be a central mechanism for the enhancement.
Direct redistribution of cells due to different survival in cell cycle phases, re-activation of quiescent cells in response to radiation-induced cell death and blocking of DNA damaged cells at the G2/M checkpoint are identified as the main mechanisms which contribute to a synchronisation and determine the radiosensitivity increase. A typical time scale for the development of radiosensitivity and the relaxation of tumours to a steady-state after irradiation is identified, which is related to the typical total cell cycle time.
A range of clinical radiotherapy schedules is tested for their performance within the simulation and a systematic comparison with alternative delivery schedules is performed, in order to identify schedules which can most effectively employ the described transient enhancement effects. In response to high-dose schedules, a dissolution of the tumour spheroid into smaller aggregates can be observed which is a result of the loss of integrity in the spheroid that is associated with high cell death via apoptosis. Fractionated irradiation of spheroids with constant dose per time unit but different inter-fraction times clearly reveals optimal time-intervals for radiation, which are directly related to the enhancement response of the tumour.
In order to test the use of triggered enhancement effects in tumours, combinations of trigger- and effector doses are examined for their performance in specific treatment regimens. Furthermore, the automatic identification and triggering in response to high enhancement periods in the tumour is analysed.
While triggered schedules and automatic schedules both yield a higher treatment efficiency in comparison to conventional schedules, treatment optimisation is a revealed to be a global problem, which cannot be sufficiently solved using local optimisation only.
The spatio-temporal dynamics of hypoxia in the tumour are studied in response to irradiation. Microscopic, diffusion-induced reoxygenation dynamics are demonstrated to be on a typical time-scale which is in the order of fractionation intervals. Neoadjuvant chemotherapy with hydroxyurea can yield a drastic improvement of radiosensitivity via cell cycle synchronisation and specific toxicity against radioresistant S-phase cells.
The model makes clear predictions of radiation schedules which are especially effective as a result of triggered cell cycle-based radiosensitivity enhancement. Division of radiation into trigger and effector doses is highly effective and especially suited to be combined with adjuvant chemotherapy in order to limit regrowth of cells.
Die vorliegende Dissertation untersucht die Nichtgleichgewichtsdynamik von relativistischen Schwerionenkollisionen ausgehend von der anfänglichen Produktion von Teilchen durch den Zerfall von Strings, der Bildung eines Quark-Gluon-Plasmas (QGP), dessen kinetische und chemische Äquilibrierung als Funktion der Zeit sowie seine Transporteigenschaften im Gleichgewicht bei endlicher Temperatur und endlichem chemischen Potential. Ein Verständnis der frühen Phase der Schwerionenkollisionen ist insbesondere von großen Interesse, da letztere eine Verbindung zwischen den ersten Nukleon-Nukleon Kollisionen und der Quark-Gluon-Plasma Phase herstellen, die zu einem späteren Zeitpunkt ein gewisses Maß an Thermalisierung zeigt. Allerdings können nur Nichtgleichgewichts-Theorien eine Verbindung zwischen dem anfänglichen QGP und seiner - zumindest partiellen - Thermalisierung herstellen. Um die Dynamik eines stark wechselwirkenden Mediums wie des Quark-Gluon-Plasmas zu beschreiben, reichen übliche Transportgleichungen (basierend auf der Boltzmann-Gleichung) nicht aus und es müssen komplexere Theorien, die auch für stark korrelierte Medien geeignet sind, angewendet werden. Hier kommen hydrodynamische Simulationen oder Transportrechnungen - basierend auf verallgemeinerten Transportgleichungen - zum Einsatz. Solche verallgemeinerte Transportgleichungen, wie die Kadanoff-Baym-Gleichungen, ergeben sich aus der quantenmechanischen Nichtgleichgewichts-Vielteilchentheorie, in der Green’s- Funktionen in Minkowski Raum-Zeit die interessierenden Größen sind, um die Dynamik des betrachteten Mediums zu beschreiben. Mit geeigneten Näherungen kann man so kinetische Transportgleichungen erhalten, die eine einheitliche Behandlung von stabilen und instabilen Teilchen auch außerhalb des Gleichgewichts ermöglichen. Diese Bestandteile bilden die Basis des Transportmodells Parton-Hadron-String Dynamics (PHSD), welches daher ein geeignetes ’Instrument’ ist um die verschiedenen Phasen einer Schwerionenkollision zu analysieren, egal ob die verschiedenen Formen der Materie im Gleichgewicht sind oder nicht.
In dieser Arbeit wird zunächst die Quantenchromodynamik (QCD) vorgestellt und erklärt, wie diese Theorie im Laufe der Jahre entwickelt wurde um ein wichtiger Bestandteil des Standardmodells der Teilchenphysik zu werden. Wir werden weiterhin die verbleibenden Herausforderungen in unserem Verständnis der QCD vorstellen, die sich primär auf das Phasendiagramm der stark wechselwirkenden Materie konzentrieren.
Im zweiten Kapitel untersuchen wir die Nichtgleichgewichts-Feldtheorie und die damit verbundenen Techniken - wie die Keldysh-Kontur - zur Beschreibung der Green’schen Funktionen als wesentlichen Freiheitsgrade. Wir leiten die Evolutionsgleichung für die Green’schen Funktionen her, d. h. die Kadanoff Baym-Gleichungen am Beispiel einer skalaren Feldtheorie.
Im nächsten Kapitel wird das Transportmodell Parton-Hadron-String Dynamics (PHSD), welches die Anwendung der verallgemeinerten Transportgleichungen zur Beschreibung relativistischer Schwerionenkollisionen darstellt, vorgestellt.
Wir beginnen im Kapitel 4 mit der Untersuchung der Nichtgleichgewichtseigenschaften des Quark-Gluon-Plasmas, welches bei relativistischen Schwerionenkollisionen erzeugt wird. Zu diesem Zweck vergleichen wir die Quark-Gluon-Plasmaentwicklung aus dem PHSD mit einem viskosen hydrodynamischen Modell, bei dem ein lokales kinetisches und chemisches Gleichgewicht angenommen wird.
Im Kapitel 5 konzentrieren wir uns auf das frühe Vorgleichgewichtsstadium ultra-relativistischer Schwerionenkollisionen und insbesondere auf die Freiheitsgrade der QGP-Phase in diesem Stadium. Wir untersuchen die Auswirkungen eines QGP, welches anfänglich entweder aus einem System aus massiven Gluonen (Szenario I) oder alternativ aus Quarks und Antiquarks (Szenario II) besteht. Das nächste Kapitel wird ebenfalls die Produktion von Teilchen im Frühstadium von Schwerionenkollisionen behandeln, jedoch bei niedrigeren Kollisionsenergien. Hier wird eine mikroskopische Beschreibung des K+/pi+-Verhältnisses im Vordergrund stehen, d. h. die Erklärung des Maximums in diesem Verhältnis bei etwa 30 A GeV ("Horn") in zentralen Au+Au (oder Pb+Pb) Kollisionen. Insbesonders werden wir die Modifikation des String-Fragmentierungsprozesses (über den Schwinger-Mechanismus) in einer Umgebung mit hoher hadronischer Dichte aufgrund der teilweisen Wiederherstellung der chiralen Symmetrie untersuchen.
In Kapitel 7 erweitern wir das Parton-Hadron-String Dynamics (PHSD)-Transportmodell im partonischen Sektor, indem wir explizit die totalen und differentiellen partonischen Streuungsquerschnitte als Funktion der Temperatur T und des baryochemischen Potentials μB berechnen auf der Basis der effektiven Propagatoren und Kopplungen des Dynamical QuasiParticle Models (DQPM), welches auch die generelle Zeitentwicklung der partonischen Freiheitsgrade beschreibt. Wir finden nur eine sehr bescheidene Änderung von n/s mit dem baryonchemischen Potential μB in Abhängigkeit von der skalierten Temperatur T/Tc(μB). Dies gilt auch für eine Vielzahl von hadronischen Observablen aus zentralen A+A Kollisionen im Energiebereich von 5 GeV < vsNN < 200 GeV bei der Implementierung der differentiellen Querschnitte in das PHSD-Modell. Da wir in Schwerionen-Observablen nur kleine Spuren einer μB-Abhängigkeit finden - obwohl die effektiven Partonenmassen und Kollisionsbreiten sowie deren Partonenquerschnitte eindeutig von μB abhängen - impliziert dies, dass man eine beträchtliche Partonendichte und ein großes Raum-Zeit-QGP-Volumen zur Untersuchung der Dynamik in der partonischen Phase benötigt. Diese Bedingungen sind nur bei hohen Kollisionsenergien erfüllt, bei denen μB jedoch eher niedrig ist. Wenn andererseits die Kollisionsenergie verringert und somit μB erhöht wird, wird die hadronische Phase dominant und dementsprechend wird es zunehmend schwieriger, Signale aus der Partonendynamik auf der Basis von "Bulk"-Observablen zu extrahieren.
In this work we provided additional insights into our understanding of bulk QCD matter through the study of the transport coeffcients which govern the non-equilibrium microscopical processes of statistical ensembles. Specically, we focused on the low energy regime corresponding to the hadron gas, as the properties of this region of the phase diagram are still relatively unknown, and existing calculations for the transport coeffcients are either scarce, contradictory, or somewhat limited in scope; this thesis' main goal was thus to shed some light on this by providing new independent calculations of these quantities.
We subsequently presented two formalisms which can be used to calculate transport coeffcients. The first one (which also was the main tool we used in the following chapters to produce our results) relies on the development of so-called Green-Kubo formulas, which relate non-equilibrium dissipative fluctuations with transport coeffcients; notably, the off-diagonal components of the energy-momentum tensor are shown to be related to the shear viscosity, its diagonal components to the bulk viscosity and fluctuations in the electric current can be related to the electric conductivity. We additionally introduced two new conductivities, namely the baryon-electric and strange electric conductivities, which we dubbed, together with the already known electric one, the "cross-conductivity", which encodes information about how electric fluctuations are correlated to changes in electric, baryonic or strange currents, or vice-versa. The second way of calculating transport coeffcient which we discussed consists in linearizing the collision term of the Boltzmann equation through the Chapman-Enskog formalism. While in principle providing direct semi-analytical results for the transport coeffcients, this approach is complicated to implement when more than a few species are considered, and as such was then mostly used as a tool to calibrate our Green-Kubo calculations.
The hadron gas model that we used for all calculations, namely the transport approach SMASH, was then presented. The main features of the model were explained, such as the collision criterion, the considered degrees of freedom and the specific way in which they microscopically interact with each other. It was verified that SMASH does reproduce analytical results of the Boltzmann equation in an expanding universe scenario, thus showing the equivalence of this transport approach and the associated kinetic theory results. A special care was taken to detail the ways in which a state of thermal and chemical equilibrium (which is necessary for Green-Kubo relations to be valid) can be reached and described using SMASH.
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Es wird ein effektives Modell zur Berücksichtigung einer Minimalen Länge in der Quantenfeldtheorie vorgestellt. Im Falle der Existenz Großer Extradimensionen kann dies zu überprüfbaren Modifikationen verschiedener Experimente führen. Es werden verschiedene Phänomene wie z.B. der Casimir-Effekt, Neutrino-Nukleon-Reaktionen oder Neutrinooszillationen diskutiert.
In the work presented herein the microscopic transport model BAMPS (Boltzmann Approach to Multi-Parton Scatterings) is applied to simulate the time evolution of the hot partonic medium that is created in Au+Au collisions at the Relativistic Heavy Ion Collider (RHIC) and in Pb+Pb collisions at the recently started Large Hadron Collider (LHC). The study is especially focused on the investigation of the nuclear modification factor R_{AA}, that quantifies the suppression of particle yields at large transverse momentum with respect to a scaled proton+proton reference, and the simultaneous description of the collective properties of the medium in terms of the elliptic flow v_{2} within a common framework.
Nanomaterials, i.e., materials that are manufactured at a very small spatial scale, can possess unique physical and chemical properties and exhibit novel characteristics as compared to the same material without nanoscale features. The reduction of size down to the nanometer scale leads to the abundance of potential applications in different fields of technology. For instance, tailoring the physicochemical properties of nanomaterials for modification of their interaction with a biological environment has been reflected in a number of biomedical applications.
Strategies to choose the size and the composition of nanoscale systems are often hindered by a limited understanding of interactions that are difficult to study experimentally. However, this goal can be achieved by means of advanced computer simulations. This thesis explores, from a theoretical and a computational viewpoints, stability, electronic and thermo-mechanical properties of nanoscale systems and materials which are related to biomedical applications.
We examine the ability of existing classical interatomic potentials to reproduce stability and thermo-mechanical properties of metal systems, assuming that these potentials have been fitted to describe ground-state properties of the perfect bulk materials.
It is found that existing classical interatomic potentials poorly describe highly-excited vibrational states when the system is far from the potential energy minimum. On the other hand, construction of a reliable computational model is essential for further development of nanomaterials for applications. A new interatomic potential that is able to correctly reproduce both the melting temperature and the ground-state properties of different metals, such as gold, platinum, titanium, and magnesium, by means of classical molecular dynamics simulations is proposed in this work. The suggested modification of a many-body potential has a general nature and can be utilized for similar numerical exploration of thermo-mechanical properties of a broad range of molecular and solid state systems experiencing phase transitions.
The applicability of the classical interatomic potentials to the description of nanoscale systems, consisting of several tens-hundreds of atoms, is also explored in this study. This issue is important, for instance, in the case of nanostructured materials, where grains or nanocrystals have a typical size of about a few nanometers. We validate classical potentials through the comparison with density-functional theory calculations of small
atomic clusters made of titanium and nickel. By this analysis, we demonstrate that the classical potentials fitted to describe ground-state properties of a bulk material can describe the energetics of nanoscale systems with a reasonable accuracy.
In this work, we also analyze electronic properties of nanometer-size nanoparticles made of gold, platinum, silver, and gadolinium; nanoparticles composed of these materials are of current interest for radiation therapy applications. We focus on the production of low-energy electrons, having the kinetic energy from a few electronvolts to several tens of electronvolts. It is currently established that the low-energy secondary electrons of such energies play an important role in the nanoscale mechanisms of biological damage resulting from ionizing radiation. We provide a methodology for analyzing the dynamic response of nanoparticles of the experimentally relevant sizes, namely of about several nanometers, exposed to ionizing radiation. Because of a large number of constituent atoms (about 1000 −10000 atoms) and consequently high computational costs, the electronic properties of such systems can hardly be described by means of ab initio methods based on a quantum-mechanical treatment of electrons, and this analysis should rely on model approaches. By comparing the response of smaller systems (of about 1 nm size) calculated within the ab initio- and the model framework, we validate this methodology and make predictions for the electron production in larger systems.
We have revealed that a significant increase in the number of the low-energy electrons emitted from nanometer-size noble metal nanoparticles arises from collective electron excitations formed in the systems. It is demonstrated that the dominating mechanisms of electron yield enhancement are related to the formation of plasmons excited in a whole system and of atomic giant resonances formed due to excitation of valence d electrons in individual atoms of a nanoparticle. Being embedded in a biological medium, the noble metal nanoparticles thus represent an important source of low-energy electrons, able to produce a significant irrepairable damage in biological systems.
A general methodology for studying electronic properties of nanosystems is used to make quantitative predictions for electron production by non-metal nanoparticles. The analysis illustrates that due to a prominent collective response to an external electric field, carbon nanoparticles embedded in a biological medium also enhance the production of low-energy electrons. The number of low-energy electrons emitted from carbon nanoparticles is demonstrated to be several times higher as compared to the case of liquid water.
Atomistic molecular dynamics approach for channeling of charged particles in oriented crystals
(2015)
Der Gitterführungseffekt ist der Prozess der Ausbreitung von geladenen Teilchen entlang der Ebenen oder Achsen von kristallinen Materialien. Seit den 1960er Jahren ist dieser Effekt weitgehend theoretisch und experimentell untersucht worden. Dieser Effekt wurde für die Manipulation von Hochenergiestrahlen, die Hochpräzisionsstruktur- und -fehleranalyse von kristallinen Medien und die Herstellung von hochenergetischer Strahlung angewendet. Zur Abstimmung der Parameter der Gitterführung und Gitterführungsstrahlung wurde dieser Prozess für den Fall von künstlich nanostrukturierten Materialien, wie gebogenen Kristallen, Nanoröhren und Fullerit, angenommen. In den letzten Jahren wurde das Konzept des kristallinen Undulators formuliert und getestet, das besondere Eigenschaften der Strahlung aufgrund der Gitterführung von Projektilen in regelmäßig gebogenen Kristallen vorhersagt.
In dieser Arbeit werden die Prozesse der Gitterführung von Sub- und Multi-GeV-Elektronen und -Positronen durch den atomistischen Molekulardynamik-Ansatz untersucht. Die Ergebnisse dieser Studien wurden in einer Reihe von Artikeln während meiner Promotion in Frankfurt vorgestellt. Dieser Ansatz ermöglicht die Simulation komplexer Fälle von Gitterführung in geraden, gebogenen und periodisch gebogenen Kristallen aus reinen kristallinen Materialien und von gemischten Materialien wie Si-Ge-Kristallen, in mehrschichtigen und nanostrukturierten kristallinen Systemen. Die Arbeit beschreibt die Methode der Simulationen, stellt Ergebnisse von Simulationen für verschiedene Fälle vor und vergleicht die Ergebnisse von Simulationen mit aktuellen experimentellen Daten. Die Ergebnisse werden mit Schätzungen der dechanneling-Länge verglichen, dem Anteil der gittergeführten Projektile, der Winkelverteilung der ausgehenden Projektile und des Strahlungsspektrums.
Artificial intelligence in heavy-ion collisions : bridging the gap between theory and experiments
(2023)
Artificial Intelligence (AI) methods are employed to study heavy-ion collisions at intermediate collision energies, where high baryon density and moderate temperature QCD matter is produced. The experimental measurements of various conventional observables such as collective flow, particle number fluctuations, etc. are usually compared with expensive model calculations to infer the physics governing the evolution of the matter produced in the collisions. Various experimental effects and processing algorithms can greatly affect the sensitivity of these observables. AI methods are used to bridge this gap between theory and experiments of heavy-ion collisions. The problems with conventional methods of analyzing experimental data are illustrated in a comparative study of the Glauber MC model and the UrQMD transport model. It is found that the centrality determination and the estimated fluctuations of the number of participant nucleons suffer from strong model dependencies for Au-Au collisions at 1.23 AGeV. This can bias the results of the experimental analysis if the number of participant nucleons used is not consistent throughout the analysis and in the final model-to-data comparison. The measurable consequences of this model dependence of the number of participant nucleons are also discussed. In this context, PointNet-based AI models are developed to accurately reconstruct the impact parameter or the number of participant nucleons in a collision event from the hits and/or reconstructed track of particles in 10 AGeV Au-Au collisions at the CBM experiment. In the last part of the thesis, different AI methods to study the equation of state (EoS) at high baryon densities are discussed. First, a Bayesian inference is performed to constrain the density dependence of the EoS from the available experimental measurements of elliptical flow and mean transverse kinetic energy of mid rapidity protons in intermediate energy collisions. The UrQMD model was augmented to include arbitrary potentials (or equivalently the EoSs) in the QMD part to provide a consistent treatment of the EoS throughout the evolution of the system. The experimental data constrain the posterior constructed for the EoS for densities up to four times saturation density. However, beyond three times saturation density, the shape of the posterior depends on the choice of observables used. There is a tension in the measurements at a collision energy of about 4 GeV. This could indicate large uncertainties in the measurements, or alternatively the inability of the underlying model to describe the observables with a given input EoS. Tighter constraints and fully conclusive statements on the EoS require accurate, high statistics data in the whole beam energy range of 2-10 GeV, which will hopefully be provided by the beam energy scan programme of STAR-FXT at RHIC, the upcoming CBM experiment at FAIR, and future experiments at HIAF and NICA. Finally, it is shown that the PointNet-based models can also be used to identify the equation of state in the CBM experiment. Despite the uncertainties due to limited detector acceptance and biases in the reconstruction algorithms, the PointNet-based models are able to learn the features that can accurately identify the underlying physics of the collision. The PointNet-based models are an ideal AI tool to study heavy-ion collisions, not only to identify the geometric event features, such as the impact parameter or the number of participant nucleons, but also to extract abstract physical features, such as the EoS, directly from the detector outputs.
Ultrarelativistic Quantum Molecular Dynamics is a physics model to describe the transport, collision, scattering, and decay of nuclear particles. The UrQMD framework has been in use for nearly 20 years since its first development. In this period computing aspects, the design of code, and the efficiency of computation have been minor points of interest. Nowadays an additional issue arises due to the fact that the run time of the framework does not diminish any more with new hardware generations.
The current development in computing hardware is mainly focused on parallelism. Especially in scientific applications a high order of parallelisation can be achieved due to the superposition principle. In this thesis it is shown how modern design criteria and algorithm redesign are applied to physics frameworks. The redesign with a special emphasise on many-core architectures allows for significant improvements of the execution speed.
The most time consuming part of UrQMD is a newly introduced relativistic hydrodynamic phase. The algorithm used to simulate the hydrodynamic evolution is the SHASTA. As the sequential form of SHASTA is successfully applied in various simulation frameworks for heavy ion collisions its possible parallelisation is analysed. Two different implementations of SHASTA are presented.
The first one is an improved sequential implementation. By applying a more concise design and evading unnecessary memory copies, the execution time could be reduced to the half of the FORTRAN version’s execution time. The usage of memory could be reduced by 80% compared to the memory needed in the original version.
The second implementation concentrates fully on the usage of many-core architectures and deviates significantly from the classical implementation. Contrary to the sequential implementation, it follows the recalculate instead of memory look-up paradigm. By this means the execution speed could be accelerated up to a factor of 460 on GPUs.
Additionally a stability analysis of the UrQMD model is presented. Applying metapro- gramming UrQMD is compiled and executed in a massively parallel setup. The resulting simulation data of all parallel UrQMD instances were hereafter gathered and analysed. Hence UrQMD could be proven of high stability to the uncertainty of experimental data.
As a further application of modern programming paradigms a prototypical implementa- tion of the worldline formalism is presented. This formalism allows for a direct calculation of Feynman integrals and constitutes therefore an interesting enhancement for the UrQMD model. Its massively parallel implementation on GPUs is examined.
In den vergangen Jahren wurde erkannt, dass eine Quantenfeldtheorie (QFT) namens Quantenchromodynamik (QCD) die richtige Theorie der starken Wechselwirkungen ist. QCD beschreibt erfolgreich die starken Wechselwirkungen, die Quarks zu Nukleonen und Nukleonen zu Atomkernen zusammenbinden. Jedoch ist die theoretische Beschreibung vieler Phänomene der starken Wechselwirkung aufgrund des starken Kopplungsverhaltens bei niedrigen Energien schwierig. Stoßexperimente mit Schwerionen sind ein möglicher Weg, um die charakteristischen Phänomene und Eigenschaften der QCD-Materie zu untersuchen. In Stoßexperimenten mit Schwerionen werden schwere (d.h. große) Atomkerne aufeinander geschossen, beispielsweise Gold (am RHIC) oder Blei (am CERN, LHC), mit einer ultrarelativistischen Energie √s im Schwerpunktsystem. Auf diese Art ist es möglich, eine große Menge von Materie mit hoher Energiedichte hervorzubringen. Das Ziel von Schwerionenkollisionen ist die Erzeugung und Charakterisierung einer makroskopischen Phase von freien Quarks und Gluonen im lokalen thermischen Gleichgewicht. Ein solcher Aggregatzustand kann neue Informationen über das QCD-Phasendiagramm und den QCD-Phasenübergang liefern. Man nimmt an, dass ein solcher Übergang stattfand, als sich die Materie des frühen Universums von einem Plasma aus Quarks und Gluonen (QGP) in ein Gas von Hadronen umwandelte...