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The Large Hadron Collider (LHC) is the biggest and most powerful particle accelerator in the world, designed to collide two proton beams with particle momentum of 7 TeV/c each. The stored energy of 362MJ in each beam is sufficient to melt 500 kg of copper or to evaporate about 300 litre of water. An accidental release of even a small fraction of the beam energy can cause severe damage to accelerator equipment. Reliable machine protection systems are necessary to safely operate the accelerator complex. To design a machine protection system, it is essential to know the damage potential of the stored beam and the consequences in case of a failure. One (catastrophic) failure would be, if the entire beam is lost in the aperture due to a problem with the beam dumping system.
This thesis presents the simulation studies, results of a benchmarking experiment, and detailed target investigation, for this failure case. In the experiment, solid copper cylinders were irradiated with the 440GeV proton beam delivered by the Super Proton Synchrotron (SPS) at the High Radiation to Materials (HiRadMat) facility at CERN. The experiment confirmed the existence of the so-called hydrodynamic tunneling phenomenon for the first time. Detailed numerical simulations for particle-matter interaction with FLUKA, and with the two-dimensional hydrodynamic code, BIG2, were carried out. Excellent agreement was found between the experimental and the simulation results that validate predictions for the 7TeV beam of the LHC. The hydrodynamic tunneling effect is of considerable importance for the design of machine protection systems for accelerators with high stored beam energy. In addition, this thesis presents the first studies of the damage potential with beam parameters of the Future Circular Collider (FCC).
To detect beam losses due to fast failures it is essential to have fast beam instrumentation. Diamond based particle detectors are able to detect beam losses within a nanosecond time scale. Specially designed diamond detectors were used in the experiment mentioned above. Their efficiency and response has been studied for the first time over 5 orders of bunch intensity with electrons at the Beam Test Facility (BTF) at INFN, Frascati, Italy. The results of these measurements are discussed in this thesis. Furthermore an overview of the applications of diamond based particle detectors in damage experiments and for LHC operation is presented.
The elliptic flow of heavy-flavour decay electrons is measured at midrapidity |eta| < 0.8 in three centrality classes (0-10%, 10-20% and 20-40%) of Pb-Pb collisions at sqrt(sNN) = 2.76TeV with ALICE at LHC. The collective motion of the particles inside the medium which is created in the heavy-ion collisions can be analyzed by a Fourier decomposition of the azimuthal anisotropic particle distribution with respect to the event plane. Elliptic flow is the component of the collective motion characterized by the second harmonic moment of this decomposition. It is a direct consequence of the initial geometry of the collision which is translated to a particle number anisotropy due to the strong interactions inside the medium. The amount of elliptic flow of low-momentum heavy quarks is related to their thermalization with the medium, while high-momentum heavy quarks provide a way to assess the path-length dependence of the energy loss induced by the interaction with the medium.
The heavy-quark elliptic flow is measured using a three-step procedure.
First the v2 coefficient of the inclusive electrons is measured using the event-plane and scalar-product methods. The electron background from light flavours and direct photons is then simulated, calculating the decay kinematics of the electron sources which are initialised by their respective measured spectra. The final result of this work emerges by subtracting the background from the inclusive measurement. A significant elliptic flow is observed after this subtraction. Its value is decreasing from low to intermediate pT and from semi-central to central collisions.
The results are described by model calculations with significant elastic interactions of the heavy quarks with the expanding strongly-interacting medium.
Study of hard core repulsive interactions in an hadronic gas from a comparison with lattice QCD
(2016)
We study the influence of hard-core repulsive interactions within the Hadron-Resonace Gas model in comparison to first principle calculation performed on a lattice. We check the effect of a bag-like parametrization for particle eigenvolume on flavor correlators, looking for an extension of the agreement with lattice simulations up to higher temperatures, as was yet pointed out in an analysis of hadron yields measured by the ALICE experiment. Hints for a flavor depending eigenvolume are present.
Modelling glueballs
(2016)
Glueballs are predicted in various theoretical approaches of QCD (most notably lattice QCD), but their experimental verification is still missing. In the low-energy sector some promising candidates for the scalar glueball exist, and some (less clear) candidates for the tensor and pseudoscalar glueballs were also proposed. Yet, for heavier gluonic states there is much work to be done both from the experimental and theoretical points of view. In these proceedings, we briefly review the current status of research of glueballs and discuss future developments.
In this thesis, the production of charged kaons and Φ mesons in Au+Au collisions at sqrt sAuAu = 2.4 GeV is studied. At this energy, all particles carrying open and hidden strangeness are produced below their respective free nucleon-nucleon threshold with the corresponding so-called excess energies: sqrt sK+ exc = -0.15 GeV, sqrt sK- exc = -0.46 GeV, sqrt sΦ exc = -0.49 GeVGeV. As a consequence, the production cross sections are very sensitive to medium effects like momentum distributions, two- or multistep collisions, and modification of the in-medium spectral distribution of the produced states [1]. K+ and K- mesons exhibit different properties in baryon dominated matter, since only K- can be resonantly absorbed by nucleons. Although strangeness exchange reactions have been proposed to be the dominant channel for K- production in the analyzed energy regime, the production yield and kinematic distributions could also be explained in smaller systems based on statistical hadronization model fits to the measured particle yields, including a canonical strangeness suppression radius RC, and taking the Φ feed-down to kaons into account [2, 3]. For the first time in central Au+Au collisions at such low energies, it is possible to reconstruct and do a multi differential analysis of K- and Φ mesons. In principle, this should be the ideal environment for strangeness exchange reactions to occur, as the particles are produced deeply sub-threshold in a large and long-living system. Therefore, it is the ultimate test to differentiate between the different sources for K- production in HIC.
In total 7.3x10exp9 of the 40% most central Au(1.23 GeV per nucleon)+Au collisions are analyzed. The data has been recorded with the High Acceptance DiElectron Spectrometer HADES located at Helmholtzzentrum für Schwerionenforschung GSI in April/May 2012. A substantially improved reconstruction method has been employed to reconstruct the hadrons with high purity in a wide phase space region.
The estimated particle multiplicities follow a clear hierarchy of the excess energy: 41.5 ± 2.1|sys protons at mid-rapidity per unit in rapidity, 11.1 ± 0.6|sys ± 0.4|extrapol π-, (3.01 ± 0.03|stat ± 0.15|sys ± 0.30|extrapól) x10 exp -2 K+, (1.94 ± 0.09|stat ± 0.10|sys ± 0.10|extrapol)x10 exp -4 K- and (0.99 ± 0.24|stat ± 0.10|sys ± 0.05|extrapol)x10 exp -4 Φ per event. The multiplicities of the strange hadrons increase more than linear with the mean number of participating nucleons hAparti, supporting the assumption that the necessary energy to overcome the elementary production threshold is accumulated in multi-particle interactions. Transport models predict such an increase, but are overestimating the measured particle yield and are not able to describe the kinematic distributions of K+ mesons perfectly. However, the best description is given by the IQMD model with a density dependent kaonnucleon potential of 40 MeV at nuclear ground state density.
The K-=K+ multiplicity ratio is constant as a function of centrality and follows with (6.45 ± 0.77)x10 exp -3 the trend of increasing with beam energy indicated from previous experiments [4]. The effective temperature of K- TK+eff = (84 ± 6) MeV is found to be systematically lower than the one of K+ TK+eff = (104 ± 1) MeV, which has also been observed by the other experiments.
The Φ=K- ratio is with a value of 0.52 ± 0.16 higher than the one obtained at higher center-of-mass energies and smaller systems. This behavior is predicted from a tuned version of the UrQMD transport model [5], when including higher mass baryonic resonances which can decay into Φ mesons and from statistical hadronization models when suppressing open strangeness canonically. The found ratio is constant as a function of centrality and results with a branching ratio of 48.9%, that ~ 25% of all measured K- originate from Φ feed-down decays. A two component PLUTO simulation, consisting of a pure thermal and a K- contribution originating from Φ decays, can fully explain the observed lower effective temperature in comparison to K+ and the shape of the measured rapidity distribution of K-. As a result, we find no indication for strangeness exchange reactions being the dominant mechanism for K- production in the SIS18 energy regime, if taking the contribution from Φ feed-down decays into account.
The hadron yields for the 20% most central collisions can be described by a statistical hadronization model fit with the chemical freeze-out temperature of Tchem = (68 ± 2) MeV and baryochemical potential of μB = (883 ± 25) MeV, which is higher than expected from previous parameterizations. The analysis of the transverse mass spectra of protons indicate a kinetic freeze-out temperature of Tkin = (70 ± 4) MeV and radial flow velocity of βr = 0.43 ± 0.01, which is in agreement with the parameters obtained from the linear dependence of the effective temperatures on the particle mass Tkin = (71.5 ± 4.2) MeV and βr = 0.28 ± 0.09.
The CBM experiment (FAIR/GSI, Darmstadt, Germany) will focus on the measurement of rare probes at interaction rates up to 10MHz with data flow of up to 1 TB/s. It requires a novel read-out and data-acquisition concept with self-triggered electronics and free-streaming data. In this case resolving different collisions is a non-trivial task and event building must be performed in software online. That requires full online event reconstruction and selection not only in space, but also in time, so-called 4D event building and selection. This is a task of the First-Level Event Selection (FLES).
The FLES reconstruction and selection package consists of several modules: track finding, track fitting, short-lived particles finding, event building and event selection. The Cellular Automaton (CA) track finder algorithm was adapted towards time-based reconstruction. In this article, we describe in detail the modification done to the algorithm, as well as the performance of the developed time-based CA approach.
For the transport of high-intensity hadron beams in low-energy beam lines of linear accelerators, the compensation of space charge forces by the accumulation of particles of opposite charge is an important effect, reducing the required focusing strength and potentially the emittance growth due to space charge forces. In this thesis, space charge compensation was studied by including the secondary particles in particle-in-cell simulations.
For this purpose, a new electrostatic particle-in-cell code named bender was developed. The software was tested using known self-consistent solutions for an electron plasma confined in an external potential as well as for a KV distributed beam in a periodic focusing lattice. For the simulation of compensation, models for residual gas ionisation by proton and electron impact were implemented.
The compensation process was studied for a 120 keV, 100 mA proton beam transported through a short drift section. Various features in the particle distributions were identified, which can not explained by a uniform reduction in the electric field of the beam. These were tied to the presence of thermal electrons confined within the beam potential. Using the Poisson-Boltzmann equation, their distribution could be reproduced and their influence on the beam for a wider range of parameters studied. However, the observed temperatures show a significant numerical influence. The hypothesis was formed, that stochastical heating present in particle-in-cell simulations is the mechanism leading to the formation of the observed (partial) thermal equilibrium.
For the low-energy beam transport line of the Frankfurt neutron source FRANZ, bender was used to predict the pulse shaping in the novel ExB chopper system. The code was also used for the design and the study of an electron lens for the Integrable Optics Test Accelerator at Fermi National Accelerator Laboratory. Aberrations due to guiding center drifts and the strong electric field of the electron beam as well as the current limits in such a system were investigated.
The Standard Model is one of the greatest successes of modern theoretical physics. Itl describes the physics of elementary particles by means of three forces, the electro-magnetisc, the weak and the strong interactions. The electro-magnetic and the weak interaction are rather well understood in comparison to the strong interaction.
The latest is as fundamental as the others, it is responsible for the formation of all hadrons which are classified into mesons and baryons. Well-known examples of the former is the pion and of the latter is the proton and the neutron, which form the nucleus of every atom. This fundamental force is believed to be described by the Quantum Chromodynamics (QCD) theory. According to this theory, hadrons are not elementary particles but are composed of quarks and gluons. The latter are the vector particles of the force and so are bosons of spin 1 and the former constitute the matter and are fermions with spin 1/2. To describe the interaction a new quantum number had to be introduced: the color charge which exists in three different types (blue, green and red). The name has not been chosen arbitrary as elements created from three quarks of different colors are colorless in the same way that mixing the three primary colors leads to white. However, experimentally no colored structure has ever been observed. The quarks and the gluons seem to be confined in colorless hadrons. This property of QCD is called confinement and results from a large coupling constant at low energy (or large distance). For high energy (or small distance), the perturbative analysis of QCD permits to establish the coupling constant to be small and quarks and gluons are almost free. This property is called asymptotic freedom. The possibility for QCD to describe both behaviors is one of its amazing characteristics. However, both phenomena are not well understood and one needs a method to study both the pertubative and the confining regime.
The only known method which fulfills the above criteria is Lattice QCD and more generally Lattice Quantum Field Theory (LQFT). It consists of a discretization of the spacetime and a formulation of QCD on a four-dimensional Euclidean spacetime grid of spacing a. In this way, the theory is naturally regularized and mathematically well-defined. On the other hand, the path integral formalism allows the theory to be treated as a Statistical Mechanics system which can be evaluated via a Markov chain Monte-Carlo algorithm. This method was first suggested by Wilson in 1974 [1] and shortly after Creutz performed the first numerical simulations of Yang-Mills theory [2] using a heath-bath Monte-Carlo algorithm. It appears that this method is extremely demanding in computational power. In its early days the method was criticized as the only feasible simulations involved non-physical values such as extremely large quark masses, large lattice spacing a and no dynamical quarks. With the progress of the computers and the appearance of the super-computer, the studies have come close to the physical point. But one still needs to deal with discrete space time and finite volume. Several techniques have been developed to estimate the infinite volume limit and the continuum limit. The smaller the lattice spacing and the larger the volume, the better the extrapolation to continuum and infinite volume limits is. The simulations are still very expensive and for the moment a typical length of the box is L ≈ 4fm and a ≈ 0.08fm. However, it has been realized simulating pure Yang-Mills theory and other lower dimensional models that the topology is freezing at small a [3]. It was also observed recently on full QCD simulations [4,5].
The typical lattice spacing for which this problem appears in QCD is a ≈ 0.05fm but this value depends on the quark mass used and on the algorithm. The freezing of topology leads to results which differ from physical results. Solving this issue is important for the future of LQCD [6]. Recently several methods to overcome the problem have been suggested, one of the most popular is the used of open boundary conditions [7] but this promising method has still its own issues, mainly the breaking of translation invariance.
In this thesis, we study some features of the quantum chromodynamics (QCD) phase diagram at purely imaginary chemical potential using lattice techniques. This is one of the possible methodologies to get insights about the situation at finite density, where the sign problem prevents direct investigations from first principles.
We focus, in particular, on the Roberge-Weiss plane, where the phase structure with two degenerate flavours is studied both in the light and in the heavy quark mass limit. On the lattice, any result is affected by cut-off effects and so are the positions of the two tricritical points m_{tric}^{1,2} separating the second-order intermediate mass region from the first-order triple light and heavy mass regions. Therefore, changing the lattice spacing 'a', the values of m_{tric}^1 and m_{tric}^2 will change. In order to find their position in the continuum limit – i.e. for 'a' going to 0 – they have to be located on finer and finer lattices. Typically, in lattice QCD (LQCD) simulations, the temperature T is tuned through the bare coupling β, on which 'a' depends, while keeping Nt fixed. Hence, it is common to implicitly refer to how fine the lattice is just mentioning its temporal extent.
Using both Wilson and staggered fermions, we simulate Nf=2 QCD on Nt=6 lattices, varying the quark bare mass from the chiral (m_{u,d} going to 0) to the quenched (m_{u,d} going to infinity) limit. For each quark mass, a thorough finite scaling analysis is carried out, taking advantage of two different but consistent methods. In this way we identify the order of the phase transition locating, then, the position of the tricritical points. In order to convert our measurements to physical units we fix the scale measuring the lattice spacing as well as the pion mass corresponding to the quark bare mass used. This allows a comparison between different discretisation, getting a first idea of how serious are cut-off effects.
To be able to make a comparison between two different discretisations, we added an RHMC algorithm with staggered fermions to the CL2QCD software, a GPU code based on OpenCL, which we released in 2014. A considerable part of our work has been invested in ameliorating and optimising CL2QCD, as well as in developing new analysis tools regularly used next to it. Just to mention one, the multiple histogram method has been implemented in a completely general way and we took advantage of it in order to obtain more precise results. Finally, in order to efficiently handle and monitor the hundreds of simulations that are typically concurrently run in finite temperature LQCD, a completely new Bash library of tools has been developed. We plan to release it as a byproduct of CL2QCD in the near future.
In the 1960s, theoretical concepts prepared the path to nuclear matter with proton and neutron numbers far beyond the nuclei known at that time. The new laboratory GSI was founded for research on reactions with heavy ions, in particular those for production of the predicted super-heavy nuclei. In this contribution it is presented how the interaction between experiment and theory resulted in a continuous improvement of the experimental set-ups on the one hand, and of the knowledge of the processes during the nuclear reaction and of the properties of the produced nuclei on the other hand. In the course of this work six new elements from 107 to 112 were produced and identified. An overview of the present status of experimental results and a comparison with theoretical interpretations is given.
Recently the LIGO and VIRGO Collaborations reported the observation of gravitational-wave signal corresponding to the inspiral and merger of two black holes, resulting into formation of the final black hole. It was shown that the observations are consistent with the Einstein theory of gravity with high accuracy, limited mainly by the statistical error. Angular momentum and mass of the final black hole were determined with rather large allowance of tens of percents. Here we shall show that this indeterminacy in the range of the black-hole parameters allows for some non-negligible deformations of the Kerr spacetime leading to the same frequencies of the black-hole ringing. This means that at the current precision of the experiment there remains some possibility for alternative theories of gravity.
At sufficiently high temperatures and baryon densities, nuclear matter is expected to undergo a transition into the Quark-Gluon-Plasma (QGP) consisting of deconfined quarks and gluons and accompanied by chiral symmetry restoration. Signals of these two fundamental characteristics of Quantum-Chromo-Dynamics (QCD) can be studied in ultra-relativistic heavy-ion collisions producing a relatively large volume of high energy and nucleon densities as existent in the early universe. Dileptons are unique bulk-penetrating sources for this purpose since they penetrate through the surrounding medium with negligible interaction and are created throughout the entire evolution of the initially created fireball. A multitude of experiments at SIS18, SPS and RHIC have taken on the challenging task to measure these rare probes in a heavy-ion environment. NA60's results from high-quality dimuon measurements have identified the broadened ρ spectral function as favorable scenario to explain the low-mass dilepton excess, and partonic sources as dominant at intermediate dilepton masses.
Enabled by the addition of a TOF detector system in 2010, the first phase of the Beam Energy Scan (BES-I) at RHIC allows STAR to conduct an unprecedented energy-dependent study of dielectron production within a homogeneous experimental environment, and hence close the wide gap in the QCD phase diagram between SPS and top RHIC energies. This thesis concentrates on the understanding of the LMR enhancement regarding its invariant mass, transverse momentum and energy dependence. It studies dielectron production in Au+Au collisions at beam energies of 19.6, 27, 39, and 62.4 GeV with sufficient statistics. In conjunction with the published STAR results at top RHIC energy, this thesis presents results on the first comprehensive energy-dependent study of dielectron production.
This includes invariant mass- and transverse momenta-spectra for the four beam energies measured in 0-80% minimum-bias Au+Au collisions with high statistics up to 3.5 GeV/c² and 2.2 GeV/c, respectively. Their comparison with cocktail simulations of hadronic sources reveals a sizeable and steadily increasing excess yield in the LMR at all beam energies. The scenario of broadened in-medium ρ spectral functions proves to not only serve well as dominating underlying source but also to be universal in nature since it quantitatively and qualitatively explains the LMR enhancements measured over the wide range from SPS to top RHIC energies. It shows that most of the enhancement is governed by interactions of the ρ meson with thermal resonance excitations in the late(r)-stage hot and dense hadronic phase. This conclusion is supported by the energy-dependent measurement of integrated LMR excess yields and enhancement factors. The former do not exhibit a strong dependence on beam energy as expected from the approximately constant total baryon density above 20 GeV, and the latter show agreement with the CERES measurement at SPS energy. The consistency in excess yields and agreement with model calculations over the wide RHIC energy regime makes a strong case for LMR enhancements on the order of a factor 2-3.
The extent of the results presented here enables a more solid discussion of its relation to chiral symmetry restoration from a theoretical point of view. High-statistics measurements at BES-II hold the promise to confirm these conclusions along with the LMR enhancment's relation to total baryon density with decreasing beam energy.
Different approaches are possible when it comes to modeling the brain. Given its biological nature, models can be constructed out of the chemical and biological building blocks known to be at play in the brain, formulating a given mechanism in terms of the basic interactions underlying it. On the other hand, the functions of the brain can be described in a more general or macroscopic way, in terms of desirable goals. This goals may include reducing metabolic costs, being stable or robust, or being efficient in computational terms. Synaptic plasticity, that is, the study of how the connections between neurons evolve in time, is no exception to this. In the following work we formulate (and study the properties of) synaptic plasticity models, employing two complementary approaches: a top-down approach, deriving a learning rule from a guiding principle for rate-encoding neurons, and a bottom-up approach, where a simple yet biophysical rule for time-dependent plasticity is constructed.
We begin this thesis with a general overview, in Chapter 1, of the properties of neurons and their connections, clarifying notations and the jargon of the field. These will be our building blocks and will also determine the constrains we need to respect when formulating our models. We will discuss the present challenges of computational neuroscience, as well as the role of physicists in this line of research.
In Chapters 2 and 3, we develop and study a local online Hebbian self-limiting synaptic plasticity rule, employing the mentioned top-down approach. Firstly, in Chapter 2 we formulate the stationarity principle of statistical learning, in terms of the Fisher information of the output probability distribution with respect to the synaptic weights. To ensure that the learning rules are formulated in terms of information locally available to a synapse, we employ the local synapse extension to the one dimensional Fisher information. Once the objective function has been defined, we derive an online synaptic plasticity rule via stochastic gradient descent.
In order to test the computational capabilities of a neuron evolving according to this rule (combined with a preexisting intrinsic plasticity rule), we perform a series of numerical experiments, training the neuron with different input distributions.
We observe that, for input distributions closely resembling a multivariate normal distribution, the neuron robustly selects the first principal component of the distribution, showing otherwise a strong preference for directions of large negative excess kurtosis.
In Chapter 3 we study the robustness of the learning rule derived in Chapter 2 with respect to variations in the neural model’s transfer function. In particular, we find an equivalent cubic form of the rule which, given its functional simplicity, permits to analytically compute the attractors (stationary solutions) of the learning procedure, as a function of the statistical moments of the input distribution. In this way, we manage to explain the numerical findings of Chapter 2 analytically, and formulate a prediction: if the neuron is selective to non-Gaussian input directions, it should be suitable for applications to independent component analysis. We close this section by showing how indeed, a neuron operating under these rules can learn the independent components in the non-linear bars problem.
A simple biophysical model for time-dependent plasticity (STDP) is developed in Chapter 4. The model is formulated in terms of two decaying traces present in the synapse, namely the fraction of activated NMDA receptors and the calcium concentration, which serve as clocks, measuring the time of pre- and postsynaptic spikes. While constructed in terms of the key biological elements thought to be involved in the process, we have kept the functional dependencies of the variables as simple as possible to allow for analytic tractability. Despite its simplicity, the model is able to reproduce several experimental results, including the typical pairwise STDP curve and triplet results, in both hippocampal culture and layer 2/3 cortical neurons. Thanks to the model’s functional simplicity, we are able to compute these results analytically, establishing a direct and transparent connection between the model’s internal parameters and the qualitative features of the results.
Finally, in order to make a connection to synaptic plasticity for rate encoding neural models, we train the synapse with Poisson uncorrelated pre- and postsynaptic spike trains and compute the expected synaptic weight change as a function of the frequencies of these spike trains. Interestingly, a Hebbian (in the rate encoding sense of the word) BCM-like behavior is recovered in this setup for hippocampal neurons, while dominating depression seems unavoidable for parameter configurations reproducing experimentally observed triplet nonlinearities in layer 2/3 cortical neurons. Potentiation can however be recovered in these neurons when correlations between pre- and postsynaptic spikes are present. We end this chapter by discussing the relation to existing experimental results, leaving open questions and predictions for future experiments.
A set of summary cards of the models employed, together with listings of the relevant variables and parameters, are presented at the end of the thesis, for easier access and permanent reference for the reader.
Lepton pairs emerging from decays of virtual photons represent promising probes of nuclear matter under extreme conditions of temperature and density. These etreme conditions can be reached in heavy-ion collisions in various facilities around the world. Hereby the collision energy in the center-of-mass system (√SNN) varies from few GeV (SIS) to the TeV (LHC). In the energy domain of 1 - 2 GeV per nucleon (GeV/u), the HADES experiment at GSI Helmholtzzentrum für Schwerionenforschung in Darmstadt studies dielectrons and strangeness production.
Various reactions, for example collisions of pions, protons, deuterons and heavy-ions with nuclei have been studied since its installation in the year 2001. Hereby the so called DLS Puzzle was solved experimentally, with remeasuring C+C at 1 and 2 GeV/u and by careful studies of inclusive pp and pn reactions at 1.25 GeV. With these measurements the so-called reference spectrum was established. Measurements of e+ e− production Ar+KCl showed an enhancement on the dilepton spectrum above the trivial NN back-
ground. Theory predicts a strong enhancement of medium radiation with the system size, due to large production of fast decaying baryonic resonances like ∆ and N∗ . The heaviest system measured so far was Au+Au at a kinetic beam energy of 1.23 GeV/u. The precise determination of the medium radiation depends
on a precise knowledge of the underlying hadronic cocktail composed of various sources contributing to the measured dilepton spectrum. In general the medium radiation needs to be separated from contributions coming from long-lived particles, that decay after the freeze out of the system. For a more model independent
understanding of the dilepton cocktail the production cross sections of these particles need to measured independently. In the related energy regime the main contributers are π0 and η Dalitz decays. Both mesons have a dominant decay into two real photons and have been reconstructed successfully in this channel. Since HADES has no electromagnetic calorimeter the mesons can not be identified in this decay channel directly. In this thesis the capability of HADES to detect e+ e− pairs from conversions of real photons is demonstrated.
Therefore not only the conversion probability but also the resulting efficiencies are shown. Furthermore, the reconstruction method for neutral mesons will be explained and the resulting spectra are interpreted. The measurement of neutral pions is compared to the independent measured charged pion distribution, and
extrapolated to full phase space. An integrated approach is used to determine the η yield. Both measurement are compared to the world data and to theory model claculations. Finally, the measurements will be used together with the reconstructed dilepton spectra to determine the amount and the properties of in medium radiation in the Au+Au system.
The detailed biophysical mechanisms through which transcranial magnetic stimulation (TMS) activates cortical circuits are still not fully understood. Here we present a multi-scale computational model to describe and explain the activation of different cell types in motor cortex due to transcranial magnetic stimulation. Our model determines precise electric fields based on an individual head model derived from magnetic resonance imaging and calculates how these electric fields activate morphologically detailed models of different neuron types. We predict detailed neural activation patterns for different coil orientations consistent with experimental findings. Beyond this, our model allows us to predict activation thresholds for individual neurons and precise initiation sites of individual action potentials on the neurons’ complex morphologies. Specifically, our model predicts that cortical layer 3 pyramidal neurons are generally easier to stimulate than layer 5 pyramidal neurons, thereby explaining the lower stimulation thresholds observed for I-waves compared to D-waves. It also predicts differences in the regions of activated cortical layer 5 and layer 3 pyramidal cells depending on coil orientation. Finally, it predicts that under standard stimulation conditions, action potentials are mostly generated at the axon initial segment of corctial pyramidal cells, with a much less important activation site being the part of a layer 5 pyramidal cell axon where it crosses the boundary between grey matter and white matter. In conclusion, our computational model offers a detailed account of the mechanisms through which TMS activates different cortical cell types, paving the way for more targeted application of TMS based on individual brain morphology in clinical and basic research settings.
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.
Exotic nuclear matter
(2016)
Recent developments of nuclear structure theory for exotic nuclei are addressed. The inclusion of hyperons and nucleon resonances is discussed. Nuclear multipole response functions, hyperon interactions in infinite matter and in neutron stars and theoretical aspects of excitations of nucleon resonances in nuclei are discussed.
We discuss different models for the spin structure of the nonperturbative pomeron: scalar, vector, and rank-2 symmetric tensor. The ratio of single-helicity-flip to helicity-conserving amplitudes in polarised high-energy proton–proton elastic scattering, known as the complex r5 parameter, is calculated for these models. We compare our results to experimental data from the STAR experiment. We show that the spin-0 (scalar) pomeron model is clearly excluded by the data, while the vector pomeron is inconsistent with the rules of quantum field theory. The tensor pomeron is found to be perfectly consistent with the STAR data.
This letter reports on how the Wilson flow technique can efficaciously kill the short-distance quantum fluctuations of 2- and 3-gluon Green functions, remove the ΛQCD scale and destroy the transition from the confining non-perturbative to the asymptotically-free perturbative sector. After the Wilson flow, the behavior of the Green functions with momenta can be described in terms of the quasi-classical instanton background. The same behavior also occurs, before the Wilson flow, at low-momenta. This last result permits applications as, for instance, the detection of instanton phenomenological properties or a determination of the lattice spacing only from the gauge sector of the theory.
We report on new results on the infrared behavior of the three-gluon vertex in quenched Quantum Chromodynamics, obtained from large-volume lattice simulations. The main focus of our study is the appearance of the characteristic infrared feature known as ‘zero crossing’, the origin of which is intimately connected with the nonperturbative masslessness of the Faddeev–Popov ghost. The appearance of this effect is clearly visible in one of the two kinematic configurations analyzed, and its theoretical origin is discussed in the framework of Schwinger–Dyson equations. The effective coupling in the momentum subtraction scheme that corresponds to the three-gluon vertex is constructed, revealing the vanishing of the effective interaction at the exact location of the zero crossing.