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We extend the parton‐hadron‐string dynamics (PHSD) transport approach in the partonic sector by explicitly calculating the total and differential partonic scattering cross sections as a function of temperature T and baryon chemical potential μB on the basis of the effective propagators and couplings from the dynamical quasiparticle model (DQPM) that is matched to reproduce the equation of state of the partonic system above the deconfinement temperature Tc from lattice quantum chromodynamics (QCD). We calculate the collisional widths for the partonic degrees of freedom at finite T and μB in the time‐like sector and conclude that the quasiparticle limit holds sufficiently well. Furthermore, the ratio of shear viscosity η over entropy density s, that is, η/s, is evaluated using the collisional widths and compared to lattice QCD(lQCD) calculations for μB = 0 as well. We find that the ratio η/s does not differ very much from that calculated within the original DQPM on the basis of the Kubo formalism. Furthermore, there is only a very modest change of η/s with the baryon chemical μB as a function of the scaled temperature T/Tc(μB). This also holds for a variety of hadronic observables from central A + A collisions in the energy range 5 GeV urn:x-wiley:00046337:media:asna201913708:asna201913708-math-0001 200 GeV when implementing the differential cross sections into the PHSD approach. Accordingly, it will be difficult to extract finite μB signals from the partonic dynamics based on “bulk” observables.
In heavy-ion collisions, the quark-gluon plasma is produced far from equilibrium. This regime is currently inaccessible by direct quantum chromodynamics (QCD) computations. In a holographic context, we propose a general method to characterize transport properties based on well-defined two-point functions. We calculate shear transport and entropy far from equilibrium, defining a time-dependent ratio of shear viscosity to entropy density, . Large deviations from its near-equilibrium value , up to a factor of 2.5, are found for realistic situations at the Large Hadron Collider. We predict the far-from-equilibrium time-dependence of to substantially affect the evolution of the QCD plasma and to impact the extraction of QCD properties from flow coefficients in heavy-ion collision data.
Understanding the hadron spectrum is one of the primary goals of non-perturbative QCD. Many predictions have experimentally been confirmed, others still remain under experimental investigation. Of particular interest is how gluonic excitations give rise to states with constituent glue. One class of such states are hybrid mesons that are predicted by theoretical models and Lattice QCD calculations. Searching for and understanding the nature of these states is a primary physics goal of the GlueX experiment at the CEBAF accelerator at Jefferson Lab. A search for a JPC = 1−− hybrid meson candidate, the Y(2175), in φ(1020)π+π+ and φ(1020)f0(980) channels in photoproduction on a proton target has been conducted. A first measurement of non-resonant φ(1020)π+π+ and φ(1020)f0(980) total cross sections in photoproduction has been performed. An upper limit on the resonance production cross section for the Y (2175) → φ(1020)π+π+ and Y (2175) → φ(1020)f0(980) channels are estimated. Since the analysis essentially depends on the quality of the charged kaon identification, also an optimization of particle identification through an improvement of the energy loss estimation in the central drift chamber by a truncated mean method has been investigated.
We construct a new equation of state for the baryonic matter under an intense magnetic field within the framework of covariant density functional theory. The composition of matter includes hyperons as well as Δ-resonances. The extension of the nucleonic functional to the hypernuclear sector is constrained by the experimental data on Λ and Ξ-hypernuclei. We find that the equation of state stiffens with the inclusion of the magnetic field, which increases the maximum mass of neutron star compared to the non-magnetic case. In addition, the strangeness fraction in the matter is enhanced. Several observables, like the Dirac effective mass, particle abundances, etc. show typical oscillatory behavior as a function of the magnetic field and/or density which is traced back to the occupation pattern of Landau levels.
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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Neutron total cross sections are an important source of experimental data in the evaluation of neutron-induced cross sections. The sum of all neutron-induced reaction cross sections can be determined with a precision of a few per cent in a relative measurement. The neutron spectrum of the photoneutron source nELBE extends in the fast region from about 100 keV to 10 MeV and has favourable conditions for transmission measurements due to the low instantaneous flux of neutrons and low gamma-flash background. Several materials of interest (in part included in the CIELO evaluation or on the HPRL of OECD/NEA) have been investigated: 197Au [1, 2], natFe [2], natW [2], 238U, natPt, 4He, natO, natNe, natXe. For gaseous targets high pressure gas cells with flat end-caps have been built that hold up to 200 bar pressure. The experimental setup will be presented including results from several transmission experiments and the data analysis leading to the total cross sections will be discussed.
Activations with neutrons in the keV energy range were routinely performed at the Karlsruhe Institute of Technology (KIT) in Germany in order to simulate stellar conditions for neutron-capture cross sections. A quasi-Maxwell-Boltzmann neutron spectrum of kT = 25 keV, being of interest for the astrophysical s-process, was produced by the 7Li(p,n) reaction utilizing a 1912 keV proton beam at the Karlsruhe Van de Graaff accelerator. Activated samples resulting in long-lived nuclear reaction products with half-lives in the order of yr 100 Myr were analyzed by Accelerator Mass Spectrometry (AMS). Comparison of the obtained reaction cross sections to literature data from previous Time-of-Flight (ToF) measurements showed that the selected AMS data are systematically lower than the ToF data. To investigate this discrepancy, 54Fe(n,γ)55Fe and 35Cl(n,γ)36Cl reaction cross sections were newly measured at the Frankfurt Neutron Source (FRANZ) in Germany. To complement the existing data, an additional neutron activation of 54Fe and 35Cl at a proton energy of 2 MeV was performed. The results will give implications for the stellar environment at kT = 90 keV, reaching the not yet experimentally explored high-energy s-process range. AMS measurements of the activated samples are scheduled.
We derive the relation between cumulants of a conserved charge measured in a subvolume of a thermal system and the corresponding grand-canonical susceptibilities, taking into account exact global conservation of that charge. The derivation is presented for an arbitrary equation of state, with the assumption that the subvolume is sufficiently large to be close to the thermodynamic limit. Our framework – the subensemble acceptance method (SAM) – quantifies the effect of global conservation laws and is an important step toward a direct comparison between cumulants of conserved charges measured in central heavy ion collisions and theoretical calculations of grand-canonical susceptibilities, such as lattice QCD. As an example, we apply our formalism to net-baryon fluctuations at vanishing baryon chemical potentials as encountered in collisions at the LHC and RHIC.
This Dissertation deals with the development of FAIR-relevant X-ray diagnostics based on the interaction of lasers and particle beams with matter. The associated experimental methods are supposed to be employed in the HIHEX-experiments in the HHT-cave of the GSI Helmholtz Center for Heavy-Ion Research GmbH (GSI) in Phase-0 and in the APPA-cave at the Facility for Antiproton and Ion Research in Darmstadt, Germany.
Diagnostic of high aerial density targets that will be used in FAIR experiments demands intense and highly penetrating X-ray sources. Laser generated well-directe relativistic electron beams that interact with high Z materials is an excellent tool for generation of short-pulse high luminous sources of MeV-gammas.
In pilot experiments carried out at the PHELIX laser system, GSI Darmstadt, relativistic electrons were produced in a long scale plasma of near critical electron density (NCD) by the mechanism of the direct laser acceleration (DLA). Low density polymer foam layers preionised by a well-defined nanosecond laser pulse were used as NCD targets. The analysis of the measured electron spectra showed up to 10- fold increase of the electron "temperature" from T_Hot = 1–2 MeV, measured for the case of the interaction of 1–2 ×10^19 Wcm^(−2) ps-laser pulse with a planar foil, up to 14 MeV for the case when the relativistic laser pulse propagates through the by a ns-pulse preionised foam layer. In this case, up to 80–90 MeV electron energy was registered. An increase of the electron energy was accompanied by a strong increase of the number of relativistic electrons and well-defined directionality of the relativistic electron beam measured to be (12 ±1)° (FWHM). This directionality increases the gamma flux on target by far compared to the soft X-ray sources.
Additionally to laser based active diagnostics, passive techniques involving inherent X-ray fluorescence radiation of projectile and target emitted during heavy-ion target interaction can be used to measure the ion beam distribution on shot. This information is of great importance, since the target size is chosen to be smaller than the beam focus in order to ensure homogeneous heating of the HIHEX-target by the ion beam. High amounts of parasitic radiation and activation of experimental equipment is expected for experiments at the APPA-cave. For this reason, all electronic devices must be placed at a safe distance to the target chamber. In order to transport the signal over a large distance, the X-ray image of the target irradiated by heavy-ions has to be converted into an optical one.
For these purposes, the X-ray Conversion to Optical radiation and Transport (XCOT)-system was developed in the frame of a BMBF-project and commissioned in two beamtimes at the UNILAC, GSI during this work.
In experiments, we observed intense radiation of target atoms (K-shell transitions in Cu at 8–8.3 keV and L-shell transition in Ta) ionised in collisions with heavy ions as well as Doppler-shifted L-shell transitions of Au-projectiles passing through targets. This radiation can be used for monochromatic (dispersive elements like bent crystals) or polychromatic (pinhole) 2D X-ray mapping of the ion beam intensity distribution in the interaction region during the beam-target interaction. We measured the efficiency of the X-ray photon production depending on the target thickness and the number of ions passing through the target. The spatial resolution of the XCOT-system based on the multi-pinhole camera was measured to be (91±17) μm for the image magnification factor M = 2. It was considerably improved by application of a toroidally bent quartz crystal and reached 30 μm at M = 6. This resolution is optimal to image the distribution of a 1mm in diameter ion beam. As next step, the XCOT-system will be tested during the SIS18 beam-time at the HHT-experimental area.
A new method of event characterization based on Deep Learning is presented. The PointNet models can be used for fast, online event-by-event impact parameter determination at the CBM experiment. For this study, UrQMD and the CBM detector simulation are used to generate Au+Au collision events at 10 AGeV which are then used to train and evaluate PointNet based architectures. The models can be trained on features like the hit position of particles in the CBM detector planes, tracks reconstructed from the hits or combinations thereof. The Deep Learning models reconstruct impact parameters from 2-14 fm with a mean error varying from -0.33 to 0.22 fm. For impact parameters in the range of 5-14 fm, a model which uses the combination of hit and track information of particles has a relative precision of 4-9% and a mean error of -0.33 to 0.13 fm. In the same range of impact parameters, a model with only track information has a relative precision of 4-10% and a mean error of -0.18 to 0.22 fm. This new method of event-classification is shown to be more accurate and less model dependent than conventional methods and can utilize the performance boost of modern GPU processor units.