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Subject of this thesis is the non-perturbative investigation of the thermal transition in Quantum Chromodynamics by means of lattice gauge theory and a particular type of lattice fermions, the so-called twisted mass fermions. These fermions offer the possibility of improvement as compared to the standard Wilson-type formulation. We investigate the properties of these fermions at finite temperature, i.e. the structure of the bare parameter space as well as leading order cutoff effects in the weak coupling limit. Then we focus on two-flavour simulations at finite pion mass. We identify the (pseudo-)critical temperatures for our set of pion masses (300 to 500 MeV) and discuss the extrapolation to the chiral limit for which the nature of the transition is still an open question. Besides pseudo-critical temperatures we consider the magnetic equation of state and screening observables. We find that the assumption of a second order transition (in the 3d O(4) universality class) agrees with our data without being able to exclude alternatives. Finally, we discuss the future inclusion of strange and charm quarks in dynamical twisted mass simulations and look at the corresponding cutoff effects in the free limit.
The subatomic world is governed by the strong interactions of quarks and gluons, described by Quantum Chromodynamics (QCD). Quarks experience confinement into colour-less objects, i.e. they can not be observed as free particles. Under extreme conditions such as high temperature or high density, this constraint softens and a transition to a phase where quarks and gluons are quasi-free particles (Quark-Gluon-Plasma) can occur. This environment resembles the conditions prevailing during the early stages of the universe shortly after the Big Bang.
The phase diagram of QCD is under investigation in current and future collider experiments, for example at the Large Hadron Collider (LHC) or at the Facility for Antiproton and Ion Research (FAIR). Due to the strength of the strong interactions in the energy regime of interest, analytic methods can not be applied rigorously. The only tool to study QCD from first principles is given by simulations of its discretised version, Lattice QCD (LQCD).
These simulations are in the high-performance computing area, hence, the numerical aspects of LQCD are a vital part in this field of research. In recent years, Graphic Processing Units (GPUs) have been incorporated in these simulations as they are a standard tool for general purpose calculations today.
In the course of this thesis, the LQCD application cl2qcd has been developed, which allows for simulations on GPUs as well as on traditional CPUs, as it is based on OpenCL. cl2qcd constitutes the first application for Wilson type fermions in OpenCL.
It provides excellent performance and has been applied in physics studies presented in this thesis. The investigation of the QCD phase diagram is hampered by the notorious sign-problem, which restricts current simulation algorithms to small values of the chemical potential.
Theoretically, studying unphysical parameter ranges allows for constraints on the phase diagram. Of utmost importance is the clarification of the order of the finite temperature transition in the Nf=2 chiral limit at zero chemical potential. It is not known if it is of first or second order. To this end, simulations utilising Twisted Mass Wilson fermions aiming at the chiral limit are presented in this thesis.
Another possibility is the investigation of QCD at purely imaginary chemical potential. In this region, QCD is known to posses a rich phase structure, which can be used to constrain the phase diagram of QCD at real chemical potential and to clarify the nature of the Nf=2 chiral limit. This phase structure is studied within this thesis, in particular the nature of the Roberge-Weiss endpoint is mapped out using Wilson fermions.
In this thesis we explore the characteristics of strongly interacting matter, described by Quantum Chromodynamics (QCD). In particular, we investigate the properties of QCD at extreme densities, a region yet to be explored by first principle methods. We base the study on lattice gauge theory with Wilson fermions in the strong coupling, heavy quark regime. We expand the lattice action around this limit, and carry out analytic integrals over the gauge links to obtain an effective, dimensionally reduced, theory of Polyakov loop interactions.
The 3D effective theory suffers only from a mild sign problem, and we briefly outline how it can be simulated using either Monte Carlo techniques with reweighting, or the Complex Langevin flow. We then continue to the main topic of the thesis, namely the analytic treatment of the effective theory. We introduce the linked cluster expansion, a method ideal for studying thermodynamic expansions. The complex nature of the effective theory action requires the development of a generalisation of the linked cluster expansion. We find a mapping between generalised linked cluster expansion and our effective theory, and use this to compute the thermodynamic quantities.
Lastly, various resummation techniques are explored, and a chain resummation is implemented on the level of the effective theory itself. The resummed effective theory describes not only nearest neighbour, next to nearest neighbour, and so on, interactions, but couplings at all distances, making it well suited for describing macroscopic effects. We compute the equation of state for cold and dense heavy QCD, and find a correspondence with that of non-relativistic free fermions, indicating a shift of the dynamics in the continuum.
We conclude this thesis by presenting two possible extensions to new physics using the techniques outlined within. First is the application of the effective theory in the large-$N_c$ limit, of particular interest to the study of conformal field theory. Second is the computation of analytic Yang Lee zeros, which can be applied in the search for real phase transitions.
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.