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- Physik (215) (entfernen)
Most elements heavier than iron are synthesized in stars during neutron capture reactions in the r- and s-process. The s-process nucleosynthesis is composed of the main and weak component. While the s-process is considered to be well understood, further investigations using nucleosynthesis simulations rely on measured neutron capture cross sections as crucial input parameters. Neutron capture cross sections
relevant for the s-process can be measured using various experimental methods. A prominent example is the activation method relying on the 7Li(p,n)7Be reaction as a neutron source, which has the advantage of high neutron intensities and is able to create a quasi-stellar neutron spectrum at kBT = 25 keV. Other neutron sources able to provide quasi-stellar spectra at different energies suffer from lower neutron intensities. Simulations using the PINO tool suggest the neutron activation of samples with different neutron spectra, provided by the 7Li(p,n)7Be reaction, and a subsequent linear combination of the obtained spectrum-averaged cross sections
to determine the Maxwellian-averaged cross section (MACS) at various energies of astrophysical relevance. To investigate the accuracy of the PINO tool at proton energies between the neutron emission threshold at Ep = 1880.4 keV and 2800 keV,
measurements of the 7Li(p,n)7Be neutron fields are presented, which were carried out at the PTB Ion Accelerator Facility at the Physikalisch-Technische Bundesanstalt in Braunschweig. The neutron fields of ten different proton energies were measured.
The presented neutron fields show a good agreement at proton energies Ep = 1887, 1897, 1907, 1912 and 2100 keV. For the other proton energies, E p = 2000, 2200, 2300, 2500, and 2800 keV, differences between measurement and simulation were found and discussed. The obtained results can be used to benchmark and adapt the PINO tool and provide crucial information for further improvement of the neutron activation method for astrophysics.
An application for the 7Li(p,n)7Be neutron fields is presented as an activation experiment campaign of gallium, an element that is mostly produced during the weak s-process in massive stars. The available cross section data for the 69,71Ga(n,γ)
reactions, mostly determined by activation measurements, show differences up toa factor of three. To improve the data situation, activation measurements were carried out using the 7Li(p,n)7Be reaction. The neutron capture cross sections for
a quasi-stellar neutron spectrum at kBT = 25 keV were determined for 69Ga and 71Ga.
In this work the flexibility requirements of a highly renewable European electricity network that has to cover fluctuations of wind and solar power generation on different temporal and spatial scales are studied. Cost optimal ways to do so are analysed that include optimal distribution of the infrastructure, large scale transmission, storage, and dispatchable generators. In order to examine these issues, a model of increasing sophistication is built, first considering different flexibility classes of conventional generation, then adding storage, before finally considering transmission to see the effects of each.
To conclude, in this work it was shown that slowly flexible base load generators can only be used in energy systems with renewable shares of less than 50%, independent of the expansion of an interconnecting transmission network within Europe. Furthermore, for a system with a dominant fraction of renewable generation, highly flexible generators are essentially the only necessary class of backup generators. The total backup capacity can only be decreased significantly if interconnecting transmission is allowed, clearly favouring a European-wide energy network. These results are independent of the complexity level of the cost assumptions used for the models. The use of storage technologies allows to reduce the required conventional backup capacity further. This highlights the importance of including additional technologies into the energy system that provide flexibility to balance fluctuations caused by the renewable energy sources. These technologies could for example be advanced energy storage systems, interconnecting transmission in the electricity network, and hydro power plants.
It was demonstrated that a cost optimal European electricity system with almost 100% renewable generation can have total system costs comparable to today's system cost. However, this requires a very large transmission grid expansion to nine times the line volume of the present-day system. Limiting transmission increases the system cost by up to a third, however, a compromise grid with four times today's line volume already locks in most of the cost benefits. Therefore, it is very clear that by increasing the pan-European network connectivity, a cost efficient inclusion of renewable energies can be achieved, which is strongly needed to reach current climate change prevention goals.
It was also shown that a similarly cost efficient, highly renewable European electricity system can be achieved that considers a wide range of additional policy constraints and plausible changes of economic parameters.
Spin waves in yttrium-iron garnet has been the subject of research for decades. Recently the report of Bose-Einstein condensation at room temperature has brought these experiments back into focus. Due to the small mass of quasiparticles compared to atoms for example, the condensation temperature can be much higher. With spin-wave quasiparticles, so-called magnons, even room temperature can be reached by externally injecting magnons. But also possible applications in information technologies are of interest. Using excitations as carriers for information instead of charges delivers a much more efficient way of processing data. Basic logical operations have already been realized. Finally the wavelength of spin waves which can be decreased to nanoscale, gives the opportunity to further miniaturize devices for receiving signals for example in smartphones.
For all of these purposes the magnon system is driven far out of equilibrium. In order to get a better fundamental understanding, we concentrate in the main part of this thesis on the nonequilibrium aspect of magnon experiments and investigate their thermalization process. In this context we develop formalisms which are of general interest and which can be adopted to many different kinds of systems.
A milestone in describing gases out of equilibrium was the Boltzmann equation discovered by Ludwig Boltzmann in 1872. In this thesis extensions to the Boltzmann equation with improved approximations are derived. For the application to yttrium-iron garnet we describe the thermalization process after magnons were excited by an external microwave field.
First we consider the Bose-Einstein condensation phenomena. A special property of thin films of yttrium-iron garnet is that the dispersion of magnons has its minimum at finite wave vectors which leads to an interesting behavior of the condensate. We investigate the spatial structure of the condensate using the Gross-Pitaevskii equation and find that the magnons can not condensate only at the energy minimum but that also higher Fourier modes have to be occupied macroscopically. In principle this can lead to a localization on a lattice in real space.
Next we use functional renormalization group methods to go beyond the perturbation theory expressions in the Boltzmann equation. It is a difficult task to find a suitable cutoff scheme which fits to the constraints of nonequilibrium, namely causality and the fluctuation-dissipation theorem when approaching equilibrium. Therefore the cutoff scheme we developed for bosons in the context of our considerations is of general interest for the functional renormalization group. In certain approximations we obtain a system of differential equations which have a similar transition rate structure to the Boltzmann equation. We consider a model of two kinds of free bosons of which one type of boson acts as a thermal bath to the other one. Taking a suitable initial state we can use our formalism to describe the dynamics of magnons such that an enhanced occupation of the ground state is achieved. Numerical results are in good agreement with experimental data.
Finally we extend our model to consider also the pumping process and the decrease of the magnon particle number till thermal equilibrium is reached again. Additional terms which explicitly break the U(1)-symmetry make it necessary to also extend the theory from which a kinetic equation can be deduced. These extensions are complicated and we therefore restrict ourselves to perturbation theory only. Because of the weak interactions in yttrium-iron garnet this provides already good results.
The miniaturization of electronics is reaching its limits. Structures necessary to build integrated circuits from semiconductors are shrinking and could reach the size of only a few atoms within the next few years. It will be at the latest at this point in time that the physics of nanostructures gains importance in our every day life. This thesis deals with the physics of quantum impurity models. All models of this class exhibit an identical structure: the simple and small impurity only has few degrees of freedom. It can be built out of a small number of atoms or a single molecule, for example. In the simplest case it can be described by a single spin degree of freedom, in many quantum impurity models, it can be treated exactly. The complexity of the description arises from its coupling to a large number of fermionic or bosonic degrees of freedom (large meaning that we have to deal with particle numbers of the order of 10^{23}). An exact treatment thus remains impossible. At the same time, physical effects which arise in quantum impurity systems often cannot be described within a perturbative theory, since multiple energy scales may play an important role. One example for such an effect is the Kondo effect, where the free magnetic moment of the impurity is screened by a "cloud" of fermionic particles of the quantum bath.
The Kondo effect is only one example for the rich physics stemming from correlation effects in many body systems. Quantum impurity models, and the oftentimes related Kondo effect, have regained the attention of experimental and theoretical physicists since the advent of quantum dots, which are sometimes also referred to as as artificial atoms. Quantum dots offer a unprecedented control and tunability of many system parameters. Hence, they constitute a nice "playground" for fundamental research, while being promising candidates for building blocks of future technological devices as well.
Recently Loss' and DiVincenzo's p roposal of a quantum computing scheme based on spins in quantum dots, increased the efforts of experimentalists to coherently manipulate and read out the spins of quantum dots one by one. In this context two topics are of paramount importance for future quantum information processing: since decoherence times have to be large enough to allow for good error correction schemes, understanding the loss of phase coherence in quantum impurity systems is a prerequisite for quantum computation in these systems. Nonequilibrium phenomena in quantum impurity systems also have to be understood, before one may gain control of manipulating quantum bits.
As a first step towards more complicated nonequilibrium situations, the reaction of a system to a quantum quench, i.e. a sudden change of external fields or other parameters of the system can be investigated. We give an introduction to a powerful numerical method used in this field of research, the numerical renormalization group method, and apply this method and its recent enhancements to various quantum impurity systems.
The main part of this thesis may be structured in the following way:
- Ferromagnetic Kondo Model,
- Spin-Dynamics in the Anisotropic Kondo and the Spin-Boson Model,
- Two Ising-coupled Spins in a Bosonic Bath,
- Decoherence in an Aharanov-Bohm Interferometer.
Das Gehirn ist die wohl komplexeste Struktur auf Erden, die der Mensch erforscht. Es besteht aus einem riesigen Netzwerk von Nervenzellen, welches in der Lage ist eingehende sensorische Informationen zu verarbeiten um daraus eine sinnvolle Repräsentation der Umgebung zu erstellen. Außerdem koordiniert es die Aktionen des Organismus um mit der Umgebung zu interagieren. Das Gehirn hat die bemerkenswerte Fähigkeit sowohl Informationen zu speichern als auch sich ständig an ändernde Bedingungen anzupassen, und zwar über die gesamte Lebensdauer. Dies ist essentiell für Mensch oder Tier um sich zu entwickeln und zu lernen. Die Grundlage für diesen lebenslangen Lernprozess ist die Plastizität des Gehirns, welche das riesige Netzwerk von Neuronen ständig anpasst und neu verbindet. Die Veränderungen an den synaptischen Verbindungen und der intrinsischen Erregbarkeit jedes Neurons finden durch selbstorganisierte Mechanismen statt und optimieren das Verhalten des Organismus als Ganzes. Das Phänomen der neuronalen Plastizität beschäftigt die Neurowissenschaften und anderen Disziplinen bereits über mehrere Jahrzehnte. Dabei beschreibt die intrinsische Plastizität die ständige Anpassung der Erregbarkeit eines Neurons um einen ausbalancierten, homöostatischen Arbeitsbereich zu gewährleisten. Aber besonders die synaptische Plastizität, welche die Änderungen in der Stärke bestehender Verbindungen bezeichnet, wurde unter vielen verschiedenen Bedingungen erforscht und erwies sich mit jeder neuen Studie als immer komplexer. Sie wird durch ein komplexes Zusammenspiel von biophysikalischen Mechanismen induziert und hängt von verschiedenen Faktoren wie der Frequenz der Aktionspotentiale, deren Timing und dem Membranpotential ab und zeigt außerdem eine metaplastische Abhängigkeit von vergangenen Ereignissen. Letztlich beeinflusst die synaptische Plastizität die Signalverarbeitung und Berechnung einzelner Neuronen und der neuronalen Netzwerke.
Der Schwerpunkt dieser Arbeit ist es das Verständnis der biologischen Mechanismen und deren Folgen, die zu den beobachteten Plastizitätsphänomene führen, durch eine stärker vereinheitlichte Theorie voranzutreiben.Dazu stelle ich zwei funktionale Ziele für neuronale Plastizität auf, leite Lernregeln aus diesen ab und analysiere deren Konsequenzen und Vorhersagen.
Kapitel 3 untersucht die Unterscheidbarkeit der Populationsaktivität in Netzwerken als funktionales Ziel für neuronale Plastizität. Die Hypothese ist dabei, dass gerade in rekurrenten aber auch in vorwärtsgekoppelten Netzwerken die Populationsaktivität als Repräsentation der Eingangssignale optimiert werden kann, wenn ähnliche Eingangssignale eine möglichst unterschiedliche Repräsentation haben und dadurch für die nachfolgende Verarbeitung besser unterscheidbar sind. Das funktionale Ziel ist daher diese Unterscheidbarkeit durch Veränderungen an den Verbindungsstärke und der Erregbarkeit der Neuronen mithilfe von lokalen selbst-organisierten Lernregeln zu maximieren. Aus diesem funktionale Ziel lassen sich eine Reihe von Standard-Lernenregeln für künstliche neuronale Netze gemeinsam abzuleiten.
Kapitel 4 wendet einen ähnlichen funktionalen Ansatz auf ein komplexeres, biophysikalisches Neuronenmodell an. Das Ziel ist eine spärliche, stark asymmetrische Verteilung der synaptischen Stärke, wie sie auch bereits mehrfach experimentell gefunden wurde, durch lokale, synaptische Lernregeln zu maximieren. Aus diesem funktionalen Ansatz können alle wichtigen Phänomene der synaptischen Plastizität erklärt werden. Simulationen der Lernregel in einem realistischen Neuronmodell mit voller Morphologie erklären die Daten von timing-, raten- und spannungsabhängigen Plastizitätsprotokollen. Die Lernregel hat auch eine intrinsische Abhängigkeit von der Position der Synapse, welche mit den experimentellen Ergebnissen übereinstimmt. Darüber hinaus kann die Lernregel ohne zusätzliche Annahmen metaplastische Phänomene erklären. Dabei sagt der Ansatz eine neue Form der Metaplastizität voraus, welche die timing-abhängige Plastizität beeinflusst. Die formulierte Lernregel führt zu zwei neuartigen Vereinheitlichungen für synaptische Plastizität: Erstens zeigt sie, dass die verschiedenen Phänomene der synaptischen Plastizität als Folge eines einzigen funktionalen Ziels verstanden werden können. Und zweitens überbrückt der Ansatz die Lücke zwischen der funktionalen und mechanistische Beschreibungsweise. Das vorgeschlagene funktionale Ziel führt zu einer Lernregel mit biophysikalischer Formulierung, welche mit etablierten Theorien der biologischen Mechanismen in Verbindung gebracht werden kann. Außerdem kann das Ziel einer spärlichen Verteilung der synaptischen Stärke als Beitrag zu einer energieeffizienten synaptischen Signalübertragung und optimierten Codierung interpretiert werden.
The ab-initio molecular dynamics framework has been the cornerstone of computational solid state physics in the last few decades. Although it is already a mature field it is still rapidly developing to accommodate the growth in solid state research as well as to efficiently utilize the increase in computing power. Starting from the first principles, the ab-initio molecular dynamics provides essential information about structural and electronic properties of matter under various external conditions. In this thesis we use the ab-initio molecular dynamics to study the behavior of BaFe2As2 and CaFe2As2 under the application of external pressure. BaFe2As2 and CaFe2As2 belong to the family of iron based superconductors which are a novel and promising superconducting materials. The application of pressure is one of two key methods by which electronic and structural properties of iron based superconductors can be modified, the other one being doping (or chemical pressure). In particular, it has been noted that pressure conditions have an important effect, but their exact role is not fully understood. To better understand the effect of different pressure conditions we have performed a series of ab-initio simulations of pressure application. In order to apply the pressure with arbitrary stress tensor we have developed a method based on the Fast Inertial Relaxation Engine, whereby the unit cell and the atomic positions are evolved according to the metadynamical equations of motion. We have found that the application of hydrostatic and c axis uniaxial pressure induces a phase transition from the magnetically ordered orthorhombic phase to the non-magnetic collapsed tetragonal phase in both BaFe2As2 and CaFe2As2. In the case of BaFe2As2, an intermediate tetragonal non-magnetic tetragonal phase is observed in addition. Application of the uniaxial pressure parallel to the c axis reduces the critical pressure of the phase transition by an order of magnitude, in agreement with the experimental findings. The in-plane pressure application did not result in transition to the non-magnetic tetragonal phase and instead, rotation of the magnetic order direction could be observed. This is discussed in the context of Ginzburg-Landau theory. We have also found that the magnetostructural phase transition is accompanied by a change in the Fermi surface topology, whereby the hole cylinders centered around the Gamma point disappear, restricting the possible Cooper pair scattering channels in the tetragonal phase. Our calculations also permit us to estimate the bulk moduli and the orthorhombic elastic constants of BaFe2As2 and CaFe2As2.
To study the electronic structure in systems with broken translational symmetry, such as doped iron based superconductors, it is necessary to develop a method to unfold the complicated bandstructures arising from the supercell calculations. In this thesis we present the unfolding method based on group theoretical techniques. We achieve the unfolding by employing induced irreducible representations of space groups. The unique feature of our method is that it treats the point group operations on an equal footing with the translations. This permits us to unfold the bandstructures beyond the limit of translation symmetry and also formulate the tight-binding models of reduced dimensionality if certain conditions are met. Inclusion of point group operations in the unfolding formalism allows us to reach important conclusions about the two versus one iron picture in iron based superconductors.
And finally, we present the results of ab-initio structure prediction in the cases of giant volume collapse in MnS2 and alkaline doped picene. In the case of MnS2, a previously unobserved high pressure arsenopyrite structure of MnS2 is predicted and stability regions for the two competing metastable phases under pressure are determined. In the case of alkaline doped picene, crystal structures with different levels of doping were predicted and used to study the role of electronic correlations.
The PANDA experiment will be one of the flagship experiments at the future Facility for Antiproton and Ion Research (FAIR) in Darmstadt, Germany. It is a versatile detector dedicated to topics in hadron physics such as charmonium spectroscopy and nucleon structure. A DIRC counter will deliver hadronic particle identification in the barrel part of the PANDA target spectrometer and will cleanly separate kaons with momenta up to 3.5 GeV/c from a large pion background. An alternative DIRC design option, using wide Cherenkov radiator plates instead of narrow bars, would significantly reduce the cost of the system. Compact fused silica photon prisms have many advantages over the traditional stand-off boxes filled with liquid. This work describes the study of these design options, which are important advancements of the DIRC technology in terms of cost and performance. Several new reconstruction methods were developed and will be presented. Prototypes of the DIRC components have been built and tested in particle beam, and the new concepts and approaches were applied. An evaluation of the performance of the designs, feasibility studies with simulations, and a comparison of simulation and prototype tests will be presented.
An investigation of photoelectron angular distributions and circular dichroism of chiral molecules
(2021)
The present work demonstrates the capability of several type of molecular frame photoelectron angular distributions (MFPADs) and their linked chiroptical phenomenon the photoelectron circular dichroism (PECD) to map in great detail the molecular geometry of polyatomic chiral molecules as a function of photoelectron energy. To investigate the influence of the molecular potential on the MFPADs, two chiral molecules were selected, namely 2-(methyl)oxirane (C3H6O, MOx, m = 58,08 uma) and 2-(trifluoromethyl)oxirane (C3H3F3O, TFMOx, m = 112,03 uma). The two molecules differs in one substitutional group and share an oxirane group where the O(1s) electron was directly photoionized with the use of synchrotron radiation in the soft X-ray regime. The direct photoionization of the K-shell electron is well localized in the molecule and it induces the ejection of two or more electrons; the excited system separates into several charged (and eventually neutral) fragments which undergo Coulomb explosion due to their charges. The electrons and the fragments were detected using the COLd Target Recoil Ion Momentum Spectroscopy (COLTRIMS) and the momentum vectors calculated for each fragment belonging from a single ionization. The former method gives the possibility to post-orient molecules in space, giving access to the molecular frame, thus the MFPAD and its related PECD for multiple light propagation direction.
Stereochemistry (from the Greek στερεο- stereo- meaning solid) refers to chemistry in three dimensions. Since most molecules show a three-dimensional structure (3D), stereochemistry pervades all fields of chemistry and biology, and it is an essential point of view for the understanding of chemical structure, molecular dynamics and molecular reactions. The understanding of the chemistry of life is tightly bounded with major discoveries in stereochemistry, which triggered tremendous technical advancements, making it a flourishing field of research since its revolutionary introduction in late 18th century. In chemistry, chirality is a brunch of stereochemistry which focuses on objects with the peculiar geometrical property of not being superimposable to their mirror-images. The word chirality is derived from the Greek χειρ for “hand”, and the first use of this term in chemistry is usually attributed to Lord Kelvin who called during a lecture at the Oxford University Junior Scientific Club in 1893 “any geometrical figure, or group of points, “chiral”, and say that it has chirality if its image in a plane mirror, ideally realized, cannot be brought to coincide with itself.”. Although the latter is usually considered as the birth of the word chirality, the concept underlying it was already present in several fields of science (above all mathematics), already proving the already multidisciplinary relevance of chirality across many field of science and beyond. Nature shows great examples of chiral symmetry on all scales. Empirically, it is possible to observe it at macroscopic scale (e.g. distribution of rotations of galaxies), down to the microscopic scale (e.g. structure of some plankton species), but it is at the molecular level where the number gets remarkable: most of the pharmaceutical drugs, food fragrances, pheromones, enzymes, amino acids and DNA molecules, in fact, are chiral. Moreover, the concept of chirality goes far beyond the mere spatial symmetry of objects being crucially entangled with the fundamental properties of physical forces in nature. The symmetry breaking, namely the different physical behaviour of a two chiral systems upon the same stimuli, is considered to be one of the best explanation for the long standing questions of homochirality in biological life, and ultimately to the chemical origin of life on Earth as we know it. Our organism shows high enantio-selectivity towards specific compounds ranging from drugs, to fragrances. Over 800 odour molecules commonly used in food and fragrance industries have been identified as chiral and their enantiomeric forms are perceived to have very different smells, as the well-know example of D- and L- limonene. Similarly, responses to pharmaceuticals drugs can be enantiomer specific, and in fact about 60 % the drugs currently on the market are chiral compounds, and nearly 90 % of them are sold as racemates. The same degree of enantio-selectivity is observed in the communications systems of plants and insects. Plants produce lipophilic liquids with high vapour pressure called plant volatiles (PVs) which are synthesized via different enzymes called tarpene synthases that are usually chiral. Chiral molecules and chiral effects have a strong impact on all the fields of science with exciting developments ranging from stereo-selective synthesis based on heterogeneous enantioselective catalysis, to optoelctronics, to photochemical asymmetric synthesis, and chiral surface science, just to cite a few.
Chiral molecules come in two forms called enantiomers. Their almost identical chemical and physical properties continue to pose technical challenges concerning the resolution of racemic mixtures, the determination of the enantiomeric excess, and the direct determination of the absolute configuration of an enantiomer. ...
We discuss aspects of the phase structure of a three-dimensional effective lattice theory of Polyakov loops derived from QCD by strong coupling and hopping parameter expansions. The theory is valid for the thermodynamics of heavy quarks where it shows all qualitative features of nuclear physics emerging from QCD. In particular, the SU(3) pure gauge effective theory also exhibits a first-order thermal deconfinement transition due to spontaneous breaking of its global Z₃ center symmetry. The presence of heavy dynamical quarks breaks this symmetry explicitly and consequently, the transition weakens with decreasing quark mass until it disappears at a critical endpoint. At non-zero baryon density, the effective theory can be evaluated either analytically by the so-called high-temperature expansion which does not suffer from the sign problem, or numerically by standard Monte-Carlo methods due to its mild sign problem. The first part of this work devotes to a systematic derivation of the effective theory up to the 6th order in the hopping parameter κ. This method combined with the SU(3) link update algorithm provides a way to simulate the O(κ⁶) effective theory. The second part involves a study of the deconfinement transition of the pure gauge effective theory, with and without static quarks, at all chemical potentials with help of the high-temperature expansion. Our estimate of the deconfinement transition and its critical endpoint as a function of quark mass and all chemical potentials agrees well with recent Monte-Carlo simulations. In the third part, we investigate the N ſ ∈ {1,2} effective theory with zero chemical potential up to O(κ⁴). We determine the location of the critical hopping parameter at which the first-order deconfinement phase transition terminates and changes to a crossover. Our results for the critical endpoint of the O(κ²) effective theory are in excellent agreement with the determinations from simulations of four-dimensional QCD with a hopping expanded determinant by the WHOT-QCD collaboration. For the O(κ⁴) effective theory, our estimate suggests that the critical quark mass increases as the order of κ-contributions increases. We also compare with full lattice QCD with N ſ = 2 degenerate standard Wilson fermions and thus obtain a measure for the validity of both the strong coupling and the hopping expansion in this regime.
Im Rahmen dieser Arbeit wurde ein Reaktionsmikroskop (REMI) nach dem Messprinzip COLTRIMS (Cold Target Recoil Ion Momentum Spectrometry) neu konstruiert und aufgebaut. Die Leistungsfähigkeit des Experimentaufbaus konnte sowohl in diversen Testreihen als auch anschließend unter realen Messbedingungen an der Synchrotronstrahlungsanlage SOLEIL und am endgültigen Bestimmungsort SQS-Instrument (Small Quantum Systems) des Freie-Elektronen-Lasers European XFEL (X-ray free-electron laser) eindrucksvoll unter Beweis gestellt werden.
Mit der Experimentiertechnik COLTRIMS ist es möglich, alle geladenen Fragmente einer Wechselwirkung eines Projektilteilchens mit einem Targetteilchen mittels zweier orts- und zeitauflösender Detektoren nachzuweisen. In einem Vakuumrezipienten wird die als Molekularstrahl präparierte Targetsubstanz inmitten der Hauptkammer zentral mit einem Projektilstrahl (z.B. des XFEL) zum Überlapp gebracht, sodass dort eine Wechselwirkung stattfinden kann. Bei den entstehenden Fragmenten handelt es sich um positiv geladene Ionen sowie negative geladene Elektronen. Elektrische Felder, erzeugt durch eine Spektrometer-Einheit, sowie durch Helmholtz-Spulen erzeugte magnetische Felder ermöglichen es, die geladenen Fragmente in Richtung der Detektoren zu lenken. Die Orts- und Zeitmessung eines einzelnen Teilchens (z.B. eines Ions) findet in Koinzidenz mit den anderen Teilchen (z.B. weiteren Ionen bzw. Elektronen) statt. Mit dieser Messmethode können die Impulsvektoren und Ladungszustände aller geladenen Fragmente in Koinzidenz gemessen werden. Da hierbei die geometrische Anordnung der einzelnen Komponenten für die Leistungsfähigkeit des Experiments eine entscheidende Rolle spielt, mussten bei der Neukonstruktion des COLTRIMS-Apparates für den Einsatz an einem Freie-Elektronen-Laser (FEL) einige Rahmenbedingungen erfüllt werden. Besonders wurden die hohen Vakuumvoraussetzungen an den Experimentaufbau aufgrund der enormen Lichtintensität eines FEL beachtet. Das Zusammenspiel der vielen Einzelkomponenten konnte zunächst in mehreren Testreihen überprüft werden. Unter anderem durch Variation der Vakuumbauteile in Material und Beschaffenheit konnten die zuvor ermittelten Vorgaben schließlich erreicht werden. Das neu konstruierte Target-Präparationssystem zur Erzeugung molekularer Gasstrahlen erlaubt nun den Einsatz von bis zu vier unterschiedlich dimensionierten, differentiell gepumpten Stufen. Zudem wurden hochpräzise Piezo-Aktuatoren verbaut, welche die Bewegung von Blenden im Vakuum erlauben, wodurch eine variable Einstellung des lokalen Targetdrucks ermöglicht wird. Die Anpassung der elektrischen Felder des Spektrometers für ein jeweiliges Experiment wurde mittels Simulationen der Teilchentrajektorien, Teilchenflugzeiten sowie der Detektorauflösung durchgeführt.
Da die in dieser Arbeit besprochenen Messungen und Ergebnisse die Wechselwirkungsprozesse von Röntgenstrahlung bzw. Synchrotronstrahlung mit Materie thematisieren, wird die Erzeugung von Synchrotronstrahlung sowohl in Kreisbeschleunigern als auch in den modernen Freie-Elektronen-Lasern (FEL) erklärt und hergeleitet. Der im Röntgenbereich arbeitende Freie-Elektronen-Laser European XFEL, welcher u.A. als Strahlungsquelle für die hier gezeigten Experimente diente, ist eine von derzeit noch wenigen Anlagen ihrer Art weltweit. Seine Lichtintensität in diesem Wellenlängenbereich liegt bis zu acht Größenordnungen über den bisher verwendeten Anlagen für Synchrotronstrahlung.
Beim ersten Einsatz der neuen Apparatur an der Synchrotronstrahlungsanlage SOLEIL wurde der ultraschnelle Dissoziationsprozess von Chlormethan (CH3Cl) untersucht. Während des Zerfallsprozesses nach Anregung durch Röntgenstrahlung werden hochenergetische Auger-Elektronen emittiert, welche in Koinzidenz mit verschiedenen Molekülfragmenten nachgewiesen wurden. Durch den Zerfallsmechanismus der ultraschnellen Dissoziation wird die Auger-Elektronenemission nach resonanter Molekülanregung während der Dissoziation des Moleküls beschrieben. Die kinetische Energie des Auger-Elektrons ist dabei abhängig von seinem Emissionszeitpunkt. Somit können die gemessenen Auger-Elektronen ein „Standbild“ der zeitlichen Abfolge des Dissoziationsprozesses liefern.
Es wird eine detaillierte Beschreibung der Datenanalyse vorgenommen, welche aus Kalibrationsmessungen und einer Interpretation der Messdaten besteht. Die abschließende Betrachtung besteht in der Darstellung der Elektronenemissionswinkelverteilungen im molekülfesten Koordinatensystem. Die Winkelverteilung der Auger-Elektronen wird am Anfang der Dissoziation vom umgebenden Molekül- potential beeinflusst und zeigt deutliche Strukturen entlang der Bindungsachse. Entfernen sich die Bindungspartner voneinander und das Auger-Elektron wird währenddessen emittiert, so verschwinden diese Strukturen zunehmend und eine Vorzugsemissionsrichtung senkrecht zur Molekülachse wird sichtbar.
Die Analyse der Messdaten zur Untersuchung von Multiphotonen-Ionisation an Sauerstoff-Molekülen am Freie-Elektronen-Laser European XFEL ermöglichte unter anderem die Beobachtung „hohler Moleküle“, also Systemen mit Doppelinnerschalen- Vakanzen. Solche Zustände können vor allem durch die sequentielle Absorption zweier Photonen entstehen, wobei die hierbei nötige Photonendichte nur von FEL- Anlagen bereit gestellt werden kann. Hier konnte das Ziel erreicht werden, erstmalig die Emissionswinkelverteilungen der Photoelektronen von mehrfach ionisierten Sauerstoff-Molekülen (O+/O3+-Aufbruchskanal) als Folge der ablaufenden Mechanismen femtosekundengenau zu beobachten. Hierzu wurde ein vereinfachtes Schema der verschiedenen Zerfallsschritte erstellt und schließlich ermittelt, dass der Zerfall durch eine PAPA-Sequenz beschrieben werden kann. Bei dieser handelt es sich um die zweimalige Abfolge von Photoionisation und Auger-Zerfall. Somit werden vier positive Ladungen im Molekül erzeugt. Das zweite Photon des XFEL wird dabei während der Dissoziation der sich Coulomb-abstoßenden Fragmente absorbiert, weshalb es sich um einen zweistufigen Prozess aus Anrege- und Abfrage- Schritt (Pump-Probe) handelt. Schlussendlich gelang zudem der Nachweis von Doppelinnerschalen-Vakanzen im Sauerstoff-Molekül nach Selektion des O2+/O2+- Aufbruchkanals. Hierfür konnten die beiden Möglichkeiten einer zweiseitigen oder einseitigen Doppelinnerschalen-Vakanz getrennt betrachtet werden und ebenfalls erstmalig das Verhalten der Elektronenemission dieser beiden Zustände verglichen werden.
The Compressed Baryonic Matter experiment (CBM) at FAIR and the NA61/SHINE experiment at CERN SPS aim to study the area of the QCD phase diagram at high net baryon densities and moderate temperatures using heavy-ion collisions. The FAIR and SPS accelerators cover energy ranges 2-11 and 13-150 GeV per nucleon respectively in laboratory frame for heavy ions up to Au and Pb. One of the key observables to study the properties of a matter created in such collisions is an anisotropic transverse flow of particles.
In this work, the performance of the CBM experiment for anisotropic flow measurements is studied with Monte-Carlo simulations using gold ions at SIS-100 energies employing different heavy-ion event generators. Also, procedures for centrality estimation and charged hadron identification are described and corresponding frameworks are developed.
The measurement of the reaction plane angle is performed with Projectile Spectator Detector (PSD), which is a hadron calorimeter located at a very forward angle. To prevent radiation damage by the high-intensity ion beam, the PSD has a hole in the center to let the beam pass through. Various combinations of CBM detector subsystems are used to investigate the possible systematic biases in flow and centrality measurements. Effects of detector azimuthal non uniformity and the PSD beam hole size on physics performance are studied. The resulting performance of CBM for flow measurements is demonstrated for identified charged hadron anisotropic flow as a function of rapidity and transverse momentum in different centrality classes.
The measurement techniques developed for CBM were also validated with the experimental data recently collected by the NA61/SHINE experiment at CERN SPS for Pb+Pb collisions at the beam momenta 30A GeV/c. Compared to the existing data from the NA49 experiment at the CERN SPS, the new data allows for a more precise measurement of anisotropic flow harmonics. The fixed target setup of NA61/SHINE also allows extending flow measurements available from the STAR at the RHIC beam energy scan (BES) program to a wide rapidity range up to the forward region where the projectile nucleon spectators appear. In this thesis, an analysis of the anisotropic flow harmonics in Pb+Pb collisions at beam momenta 30A GeV/c collected by the NA61/SHINE experiment in the year 2016 is presented. Flow coefficients are measured relative to the spectator plane estimated with the Projectile Spectators Detector (PSD). The flow coefficients are obtained as a function of rapidity and transverse momentum in different classes of collision centrality. The results are compared with the corresponding NA49 data and the measurements from the RHIC BES program.
Es wurde das Leitfähigkeitsverhalten von reinem, lufthaltigem Wasser bei kontinuierlicher und impulsgetasteter Röntgenbestrahlung (60 kV8) untersucht. Hierbei ergaben sich zwei einander überlagerte Effekte: 1. Ein der Röntgen-Dosisleistung proportionaler irreversibler Leitfähigkeitsanstieg, der vermutlich auf eine Strahlenreaktion des gelösten CO2 zurückzuführen ist, 2. eine reversible Leitfähigkeitserhöhung während der Bestrahlung, die sich mit der Entstehung einer Ionenart mit einer mittleren Lebensdauer von ca. 0,15 sec erklären läßt. Es wird angenommen, daß es sich dabei um Radikalionen O2⊖ handelt, welche durch die Reaktion der als Strahlungsprodukt entstehenden Η-Radikale mit dem gelösten Sauerstoff gebildet werden. Ein möglicher chemischer Reaktionsmechanismus wird angegeben, der zu befriedigender quantitativer Übereinstimmung der Versuchsergebnisse mit Ausbeutewerten und Reaktionskonstanten aus der Literatur führt.
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.
Proteine sind die Maschinen der Zellen. Um die Funktionalität von zahlreichen zellulären Prozessen zu gewährleisten, müssen Kommunikationssignale innerhalb von Proteinen weitergeleitet werden. Die Weiterleitung einer Störung an einem Ort im Protein zu einer entfernten Stelle, an welcher sie strukturelle und/oder dynamische Änderungen auslöst, wird Allosterie genannt. Zunächst wurde Allosterie hauptsächlich mit großräumigen Konformationsänderungen in Verbindung gebracht, aber später entwickelte sich ein dynamischerer Blickwinkel auf Allosterie in Abwesenheit dieser großräumigen Konformationsänderungen. Die Idee eines allosterischen Pfades bestehend aus konservierten und energetisch gekoppelten Aminosäuren, welche die Signalweiterleitung zwischen entfernten Stellen im Protein vermitteln, entstand. Diese allosterischen Pfade wurden durch zahlreiche theoretische Studien in Zusammenhang mit Pfaden effizienten anisotropen Energieflusses gebracht. Der Energiefluss entlang dieser Netzwerke verknüpft allosterische Signalübertragung mit Schwingungsenergietransfer (VET - vibrational energy transfer). Die Großzahl der Forschungsarbeiten über dynamische Allosterie basiert auf theoretischen Methoden, weil nur wenige geeignete experimentelle Verfahren existieren. Um diesen essentiellen biologischen Prozess der Informationsübertragung besser verstehen zu können, ist die Entwicklung neuer und leistungsstarker experimenteller Instrumente und Techniken daher dringend erforderlich. Die vorliegende Dissertation setzt sich dies zum Ziel.
VET in Proteinen ist aufgrund der Proteingeometrie inhärent anisotrop. Alle globulären Proteine besitzen Kanäle effizienten Energieflusses, von denen vermutet wird, dass sie wichtig für Proteinfunktionen, wie die schnelle Ableitung von überschüssiger Wärme, Ligandenbindung und allosterische Signalweiterleitung, sind. VET kann mit zeitaufgelöster Infrarot (IR) Spektroskopie untersucht werden, bei welcher ein Femtosekunden Anregepuls eines Lasers Schwingungsenergie in ein molekulares System an einer bestimmten Stelle injiziert und ein, nach einem veränderbarem Zeitintervall folgender, IR Abfragepuls die Ausbreitung dieser Schwingungsenergie detektiert. Ein protein-kompatibler und universell einsetzbarer Chromophor, der die Energie eines sichtbaren Photons in Schwingungsenergie konvertiert, wird als Heizelement benötigt um langreichweitige VET Pfade in Proteinen kartieren zu können. Der Azulen (Azu) Chromophor eignet sich dafür, weil er nach Photoanregung des ersten elektronischen Zustandes durch ultraschnelle interne Konversion fast die gesamte injizierte Energie innerhalb von einer Picosekunde in Schwingungsenergie umwandelt. Eingebettet in die nicht-kanonische Aminosäure (ncAA - non-canonical amino acid) ß-(1-Azulenyl)-L-Alanine (AzAla), kann der Azu Rest in Proteine eingebaut werden. Die Ankunft der injizierten Schwingungsenergie an einer bestimmten Stelle im Protein kann mithilfe eines IR Sensors detektiert werden. Die Kombination aus Azu als VET Heizelement und Azidohomoalanine (Aha) als VET Sensor mit transienter IR (TRIR) Spektroskopie wurde schon erfolgreich an kleinen Peptiden in der Dissertation von H. M. Müller-Werkmeister getestet, die der vorliegenden Dissertation in den Laboren der Bredenbeck Gruppe vorausging.
Die Schwingungsfrequenz chemischer Bindungen ist hochempfindlich auf selbst kleine Änderungen der Konformation und Dynamik in der unmittelbaren Umgebung und kann mit IR Spektroskopie gemessen werden, z. B. mit Fourier Transform IR (FTIR) Spektroskopie. IR Spektroskopie bietet eine außergewöhnlich gute Zeitauflösung, die es ermöglicht, dynamische Prozesse in Molekülen auf einer Zeitskala von wenigen Picosekunden zu beobachten, wie z. B. die ultraschnelle Weiterleitung von Schwingungsenergie. Mit zweidimensionaler (2D)-IR Spektroskopie können die Relaxation von schwingungsangeregten Zuständen und strukturelle Fluktuationen um die schwingende Bindung untersucht werden. Allerdings geht die herausragende Zeitauflösung mit limitierter spektraler Auflösung einher. In größeren Molekülen mit zahlreichen Bindungen überlagern sich die Schwingungsbanden und die Ortsauflösung geht verloren. Um diese Limitierung zu überwinden, können IR Marker benutzt werden, chemische Gruppen, die in einer spektral durchsichtigen Region des Protein/Wasser Spektrums (1800 bis 2500 cm-1) absorbieren. Als ncAA können sie kotranslational in Proteine an einer gewünschten Stelle eingebaut werden und so ortsspezifische Informationen aus dem Proteininneren liefern. Aufgrund ihrer geringen Größe, eines relativ großen Extinktionskoeffizientens (350-400 M-1cm-1) und einer hohen Empfindlichkeit auf Änderungen in der lokalen Umgebung sind organische Azide (N3) wie zum Beispiel Aha besonders geeignete IR Marker. Aha kann als Methionin Analogon ins Protein eingebaut werden.
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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.
Landau's Fermi liquid theory has been the main tool for investigating interactions between fermions at low energies for more than 50 years. It has been successful in describing, amongst other things, the mass enhancement in ³He and the thermodynamics of a large class of metals. Whilst this in itself is remarkable given the phenomenological nature of the original theory, experiments have found several materials, such as some superconducting and heavy-fermion materials, which cannot be described within the Fermi liquid picture. Because of this, many attempts have been made to understand these ''non Fermi liquid'' phases from a theoretical perspective. This will be the broad topic of the first part of this thesis and will be investigated in Chapter 2, where we consider a two-dimensional system of electrons interacting close to a Fermi surface through a damped gapless bosonic field. Such systems are known to give rise to non Fermi liquid behaviour. In particular we will consider the Ising-nematic quantum critical point of a two-dimensional metal. At this quantum critical point the Fermi liquid theory breaks down and the fermionic self-energy acquires the non Fermi liquid like {omega}²/³ frequency dependence at lowest order and within the canonical Hertz-Millis approach to quantum criticality of interacting fermions. Previous studies have however shown that, due to the gapless nature of the electronic single-particle excitations, the exponent of 2/3 is modified by an anomalous dimension {eta_psi} which changes, not only the exponent of the frequency dependence, but also the exponent of the momentum dependence of the self-energy. These studies also show that the usual 1/N-expansion breaks down for this problem. We therefore develop an alternative approach to calculate the anomalous dimensions based on the functional renormalization group, which will be introduced in the introductory Chapter 1. Doing so we will be able to calculate both the anomalous dimension renormalizing the exponent of the frequency dependence and the exponent renormalizing the momentum dependence of the self-energy. Moreover we will see that an effective interaction between the bosonic fields, mediated by the fermions, is crucial in order to obtain these renormalizations.
In the second part of this thesis, presented in Chapter 3, we return to Fermi liquid theory itself. Indeed, despite its conceptual simplicity of expressing interacting electrons through long-lived quasi-particles which behave in a similar fashion as free particles, albeit with renormalized parameters, it remains an active area of research. In particular, in order to take into account the full effects of interactions between quasi-particles, it is crucial to consider specific microscopic models. One such effect, which is not captured by the phenomenological theory itself, is the appearance of non-analytic terms in the expansions of various thermodynamic quantities such as heat-capacity and susceptibility with respect to an external magnetic field, temperature, or momentum. Such non-analyticities may have a large impact on the phase diagram of, for example, itinerant electrons near a ferromagnetic quantum phase transition. Inspired by this we consider a system of interacting electrons in a weak external magnetic field within Fermi liquid theory. For this system we calculate various quasi-particle properties such as the quasi-particle residue, momentum-renormalization factor, and a renormalization factor which relates to the self-energy on the Fermi surface. From these renormalization factors we then extract physical quantities such as the renormalized mass and renormalized electron Lande g-factor. By calculating the renormalization factors within second order perturbation theory numerically and analytically, using a phase-space decomposition, we show that all renormalization factors acquire a non-analytic term proportional to the absolute value of the magnetic field. We moreover explicitly calculate the prefactors of these terms and find that they are all universal and determined by low-energy scattering processes which we classify. We also consider the non-analytic contributions to the same renormalization factors at finite temperatures and for finite external frequencies and discuss possible experimental ways of measuring the prefactors. Specifically we find that the tunnelling density of states and the conductivity acquire a non-analytic dependence on magnetic field (and temperature) coming from the momentum-renormalization factor. For the latter we discuss how this relates to previous works which show the existence of non-analyticities in the conductivity at first order in the interaction.
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.
Die vorliegende Arbeit handelt von der Entwicklung, dem Bau, den Zwischenmessungen sowie den abschließenden Tests unter kryogenen Bedingungen einer neuartigen, supraleitenden CH-Struktur für Strahlbetrieb mit hoher Strahllast. Diese Struktur setzt das Konzept des erfolgreich getesteten 19-zelligen 360 MHz CH-Prototypen fort, der einen weltweiten Spitzenwert in Bezug auf Beschleunigungsspannung im Niederenergiesegment erreichte, jedoch wurden einige Aspekte weiterentwickelt bzw. den neuen Rahmenbedingungen angepasst. Bei dem neuen Resonator wurde der Schwerpunkt auf ein kompaktes Design, effektives Tuning, leichte Präparationsmöglichkeiten und auf den Einsatz eines Leistungskopplers für Strahlbetrieb gelegt. Die Resonatorgeometrie besteht aus sieben Beschleunigungszellen, wird bei 325 MHz betrieben und das Geschwindigkeitsprofil ist auf eine Teilcheneingangsenergie von 11.4 MeV/u ausgelegt. Veränderungen liegen in der um 90° gedrehten Stützengeometrie vor, um Platz für Tuner und Kopplerflansche zu gewährleisten, und in der Verwendung von schrägen Stützen am Resonatorein- und ausgang zur Verkürzung der Tanklänge und Erzielung eines flachen Feldverlaufs. Weiterhin wurden pro Tankdeckel zwei zusätzliche Spülflansche für die chemische Präparation sowie für die Hochdruckspüle mit hochreinem Wasser hinzugefügt. Das Tuning der Kavität erfolgt über einen neuartigen Ansatz, indem zwei bewegliche Balgtuner in das Resonatorvolumen eingebracht werden und extern über eine Tunerstange ausgelenkt werden können. Der Antrieb der Stange soll im späteren Betrieb wahlweise über einen Schrittmotor oder einen Piezoaktor stattfinden. Für ein langsames/ statisches Tuning kann der Schrittmotor den Tuner im Bereich +/- 1 mm auslenken, um größeren Frequenzabweichungen in der Größenordnung 100 kHz nach dem Abkühlen entgegenzuwirken. Das schnelle Tuning im niedrigen kHz-Bereich wird von einem Piezoaktor übernommen, welcher den Balg um einige µm bewegen kann, um Microphonics oder Lorentz-Force-Detuning zu kompensieren. Der Resonator wird von einem aus Titan bestehendem Heliummantel umgeben, wodurch ein geschlossener Heliumkreislauf gebildet wird.
Derzeit befinden sich mehrere Projekte in der Planung bzw. im Bau, welche auf eine derartige Resonatorgeometrie zurückgreifen könnten. An der GSI basiert der Hauptteil des zukünftigen cw LINAC auf supraleitenden CH-Strukturen, um einen Strahl für die Synthese neuer, superschwerer Elemente zu liefern. Weiterhin könnte ein Upgrade des vorhandenen GSI UNILAC durch den Einsatz von supraleitenden CH-Resonatoren gestaltet werden. Zudem besteht die Möglichkeit, die bisherige Alvarez-Sektion des UNILAC alternativ durch eine kompakte, supraleitende CH-Sektion zu realisieren. Ebenfalls sollen die beiden parallelbetriebenen Injektorsektionen des MYRRHA-Projektes durch den Einsatz von supraleitenden CH-Strukturen erfolgen.
Die vorliegende Dissertation stellt die Strahldynamikdesigns zweier Hochfrequenzquadrupol-Linearbeschleuniger bzw. Radio Frequency Quadrupoles (RFQs) vor: das fur den RFQ des Protonen-Linearbeschleunigers (p-Linac) des FAIR2-Projekts an der GSI3 Darmstadt sowie einen ersten Designentwurf für einen kompakten RFQ, der u.a. zur Erzeugung von Radioisotopen für medizinische Zwecke genutzt werden könnte. Der Schwerpunkt liegt auf dem ersten Design.
This thesis discusses important questions of the beam dynamics in the proton-lead operation in the Large Hadron Collider (LHC) at CERN in Geneva. In two time blocks of several weeks in the years 2013 and 2016, proton-lead collisions have so far been successfully generated in the LHC and used by the experiments at the LHC. One reason for doubts regarding the successful operation in proton-lead configuration was the fact that the beams have to be accelerated with different revolution frequencies. There is long-range repulsion between the beams, since both beams share the beam chamber around the interaction points. Because of the different revolution frequencies, the positions of the interaction between the beams shift each revolution. This can lead to resonant excitation and to an increase in the transverse beam emittance, as was observed in the Relativistic Heavy-Ion Collider (RHIC). In this thesis, simulations for the LHC, RHIC and the High-Luminosity Large Hadron Collider (HL-LHC) are performed with a new model. The results for RHIC show relative growth rates of the emittances of the gold beam in gold-deuteron operation in RHIC from 0.1 %/s to 1.5 %/s. Growth rates of this magnitude were observed experimentally in RHIC. Simulations for the LHC show no significant increase of the emittance of the lead beam for different intensities of the counter-rotating beam. The simulation results confirm the measured stability of the beams in the LHC and the issue of strongly increasing emittances in RHIC is reproduced. Also, no significant increase of the emittance is predicted for the Future Circular Collider (FCC) and the HL-LHC.
Using a frequency-map analysis, this work verifies whether the interaction of the lead beam with the much smaller proton beam in the proton-lead operation of the LHC leads to diffusion within the lead beam. Experiences at HERA at DESY in Hamburg and at SppS at CERN have shown that the lifetime of the larger beam can rapidly decrease under certain circumstances. The results of the simulation show no chaotic dynamics near the beam centre of the lead beam. This result is supported by experimental observation.
A program code has been developed which calculates the beam evolution in the LHC by means of coupled differential equations. This study shows that the growth rates of the lead beam due to intra-beam scattering is overestimated and that particle bunches of the lead beam lose more intensity than assumed in the model. The analysis also shows that bunches colliding in a detector suffer additional losses that increase with decreasing crossing angle at the interaction point.
In this work, 2016 data from beam-loss monitors in combination with the luminosity and the loss rate of the beam intensity are used to determine the cross section of proton-lead collisions at the center-of-mass energy of 8.16 TeV. Beam-loss monitors that mainly detect beam losses that are not caused by the collision process itself are used to determine the total cross section via regression. An analysis of the data recorded in 2016 at the center-of-mass energy of 8.16 TeV resulted in a total cross section of σ=(2.32±0.01(stat.)±0.20(sys.)) b. This corresponds approximately to a hadronic cross section of σ(had)=(2.24±0.01(stat.)±0.21(sys.)) b. This value deviates only by 5.7 % from the theoretical value σ(had)=(2.12±0.01) b.
The simulation code for determining the beam evolution is also used to estimate the integrated luminosity of a future one-month run with proton-lead collisions. The result of the study shows that in the future the luminosity in the ATLAS and CMS experiments will increase from 15/nb per day in 2016 to 30/nb per day, which is a significant increase in terms of the performance. This operation, however, requires the use of the TCL collimators to protect the dispersion suppressors at ATLAS and CMS from collision fragments.
This work also gives an outlook on the expected luminosity production in proton-nucleus operation using ion species lighter than lead ions. For example, a change from proton-lead to proton-argon collisions would increase the integrated luminosity from monthly 0.8/nb to 9.4/nb in ATLAS and CMS. This is an increase of one order of magnitude and approximately a doubling of the integrated nucleon-nucleon luminosity. There may be a test operation with proton-oxygen collisions in 2023, which will last only a few days and will be operated with a low luminosity. The LHCf experiment (LHCb experiment) would achieve the desired integrated luminosity of 1.5/nb (2/nb) within 70h (35h) beam time.