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JLUpub ist das institutionelle Repositorium der Justus-Liebig-Universität.
JLUpub bietet Mitgliedern und Angehörigen der Universität die Möglichkeit neben wissenschaftlichen Dokumenten auch Forschungsdaten elektronisch zu veröffentlichen und dauerhaft zugänglich zu machen. Alle Veröffentlichungen erhalten einen Digital Object Identifier (DOI) und werden über nationale und internationale Bibliothekskataloge sowie Suchmaschinen nachgewiesen und auffindbar.

Neue Veröffentlichungen:
Data for "Exciton formation dynamics in (Ga,In,)As quantum wells"
(2025) Anders, Daniel
This dataset contains the experimental data presented in the paper “Exciton formation dynamics in (Ga,In)As quantum wells". A combination of optical pump - terahertz probe spectrsocopy and time-resolved photoluminescence was used to investigate the dynamics of exciton formation processes in (Ga,In)As multi quantum wells.
All datasets are provided in tab-separated values format. Most files begin with a header row containing column titles that describe the respective contents and indicate the varied parameters. The 2D data are labeled acoordingly.
Figure 1 a).txt
This file contains the absorption of the primary sample as well as the pump pulses used. The first column is the energy axis, the following correspond to absorption and pump pulses.
Figure 1 b).txt
This file contains the absorption of the secondary sample as well as the pump pulses used. The first column is the energy axis, the following correspond to absorption and pump pulse.
Figure 2 a).txt
This file contains the real part of the dielectric function for 3ps and 600 ps time delay. The first column ist the energy axis, while the follwoing contain the experimental data and the fitting data.
Figure 2 b).txt
This file contains the absorption for 3ps and 600 ps time delay. The first column ist the energy axis, while the follwoing contain the experimental data and the fitting data.
Figure 2 c).txt
This file contains the normalized exciton densities and the bi- and tri-exponential fits of the primary sample. First column contains the time axis while the following contain extracted data and fitting curves.
Figure 2 d).txt
This file contains the normalized exciton densities and and tri-exponential fit of the secondary sample. First column contains the time axis while the following contain extracted data and fitting curves.
Figure 3 a).txt
This file contains the THz absorption data for the comparison with TRPL. The first column contains the energy axis while the subsequent columns contain the absorption data. Time delays are in the corresponding header.
Figure 3 b).txt
This file contains the TRPL for comparison with THz absorption. The first column contains the time delay while the subsequent columns contain the absorption data. Energies are in the corresponding header.
Figure 4a).txt
This file contains the change of THz absorption and the corresponding change of the real part of the dielectric function for three excitation densities. The first half of the file contains the energy axis followed by the change of THz absorption while the second half contains the energy axis followed by the change of the real part of the dielectric funktion.
Figure 4 b).txt
This file contains the exciton densities divided by excitation intensity for three excitation densities. The first column contains the time axis while the following contain the extracted data as well as the corresponding tri-exponential fits.
Figure 5.txt
This file contains the THz absorption after resonant excitation for different THz field strengths for the secondary sample. First column contains the energy axis while the others contain the THz absorption data.
Figure 6 a).txt
This file contains the THz absorption for a field strength of 238V/cm. First column contains the energy axis while the following contain the absorption data.
Figure 6 b).txt
This file contains the THz absorption for a field strength of 3577V/cm. First column contains the energy axis while the following contain the absorption data.
Figure 6 c).txt
This file contains the THz absorption difference for weak minus strong THz. The first column contains the energy axis while the following contain the absorption data. The corresponding time delays are given in the header.
Figure 7.txt
This file contains the oscillator strenghts extracted from the differential method for four excitation densities and the bi- and tri-exponential fits for the secondary sample. The first column contains the time axis while the following contain the extracted data as well as the corresponding fit curves.
Individual differences in gaze and neural representations
(2025-03-13) Borovska, Petra
This thesis addresses two fundamental yet distinct questions from complementary perspectives: one focuses on the average observer and the other on the individual. First, we asked whether the ability of faces to modulate gaze dynamics even pre-saccadically (i.e. before moving the eyes to a new gaze location) generalizes to natural scene viewing. Second, we investigated whether individual differences in gaze lead to individual neural representations of complex movie stimuli. Both studies are centered on examining visual behavior under naturalistic conditions.
In the first study, we investigate gaze dynamics in complex scenes, revealing that saccades toward faces are of higher velocity than those directed at inanimate objects, and fixations preceding face targets are shorter, especially when the face is near the current fixation point. These findings suggest that visual processing mechanisms prioritize faces even in naturalistic settings. This is especially remarkable given that gaze dynamics are in a complex scene exposed to objects embedded in visual clutter and the processing of the current and upcoming targets happens in parallel.
The second study examined how individual gaze behavior contributes to neural representations. We derived cross-brain decoding accuracy across pairs of observers using hyperalignment while participants viewed a movie under free-viewing and fixation conditions. The results showed that free-viewing led to increased neural activity compared to fixation. Moreover, the individual differences in gaze preferences, particularly fixation tendencies on faces and text, were related to variability in neural representations in the inferior temporal cortex (IT), and the individual differences in Euclidean gaze position contributed to neural divergence in both IT and the primary visual cortex (V1).
Together, these studies highlight the importance of high-level factors in gaze behavior and neural representations. We provide evidence that gaze rapidly orients toward semantically relevant features in a scene and that variability in preferential looking at specific semantic categories across observers can be linked to individual differences in the IT cortex. By examining gaze behavior across static and dynamic stimuli, this thesis underscores the role of active vision in shaping perception under naturalistic viewing conditions.
Integrating climate risks in bank risk management and capital requirements
(2025) Auzepy, Alix; Bannier, Christina E.
Diese Open-Access-Studie zeigt, wie europäische Banken derzeit Klimarisiken in ihr Risikomanagement integrieren. Als Rahmen für unsere Analyse wählen wir dabei den Baseler-Regulierungsansatz. Unsere Ergebnisse stellen sowohl den Status Quo hinsichtlich des Umgangs mit Klimarisiken im Bank-Risikomanagement dar, sie beschreiben aber vor allem auch die Herausforderungen in der Umsetzung der aktuellen (und geplanten) Regulierungsanforderungen und geben Hinweise auf einen Best Practice Ansatz. Unsere Studie ist somit nicht nur für Experten im Risikomanagement von Finanzinstituten sowie für Vorstand und Aufsichtsrat dieser Unternehmen höchst aktuell und relevant, sondern auch für Aufsichtsbehörden und regulatorische Stellen sowie alle Beratungsdienstleister in diesem Bereich.
The Cambridge Global Handbook of Financial Infrastructure
(2025)
Financial infrastructures are the lifeblood of political economies and are consistently considered critical by governments. They encapsulate socio-technical processes; not merely cables and computer servers, but the relationship of those in finance to these and other physical objects. The Cambridge Global Handbook of Financial Infrastructure consolidates the study of financial infrastructures by bridging political economy, humanities, sociology and science and technology studies. It delves into the core questions of modern finance, from the effect of digitalization on financial functions to the intricate web of global power dynamics. Drawing together interdisciplinary research, it explores the nuances of inclusivity and exclusivity within financial systems, shedding light on historical inequalities and colonial legacies. Including fresh insights, compelling case studies, and conceptual advances, this essential volume offers invaluable perspectives for informing analysis of the past, present, future of finance, and shaping policy debates.
Investigation of Particle Dynamics in Complex Plasma with PK-4
(2025) Wimmer, Lukas
Complex plasmas are low temperature plasmas containing micrometer-sized charged particles that exhibit Coulomb interactions. When introduced into the plasma environment, these particles acquire a significant negative charge by collecting electrons and ions. This leads to the formation of coupled systems where collective effects such as crystallization, phase transitions, and wave propagation can be observed directly at the particle scale. The PK-4 experiment offers a unique platform for investigating these phenomena under well-controlled laboratory conditions. Experiments can be conducted both on the ground and in microgravity environments, such as during parabolic flight campaigns and aboard the International Space Station.
This thesis presents a detailed investigation of particle dynamics in complex plasmas using the PK-4 facility. The primary focus is placed on the behavior of dust acoustic waves, electrorheological effects, and the ion drag force. To address the challenges of detecting fastmoving and weakly illuminated particles to ensure a statistically significant data analysis, advanced image processing techniques and automated evaluation methods were developed. These include the use of high speed digital cameras and machine learning–enhanced tools for signal enhancement and trajectory reconstruction.
One of the key findings is the identification and reconstruction of tilted wavefronts in dust acoustic waves. These wavefronts exhibit deviations from ideal theoretical predictions due to the combined influence of the gravitational force and boundary effects. A spatial shift in the wave structure, leading to asymmetries in propagation, is shown to be induced by additional electric fields. Furthermore, the influence of electrorheological effects on wave propagation under microgravity conditions was confirmed through experimental observations and charge distribution modeling. For the first time, crystallization was observed in a particle system that remained in motion throughout the process. The formation of string-like particle arrangements was found to be linked to charge distributions shaped by electrorheological interactions. Finally, the ion drag force acting on individual microparticles was quantified using a data driven approach based on Bayesian optimization. This method allowed for the extraction of key plasma parameters and provided validation of analytical force models, yielding deeper insight into charge dynamics and particle ion interactions.
In conclusion, the integration of modern data science techniques with experimental plasma physics conducted under well-controlled conditions has led to significant improvements in measurement precision. This, in turn, has enhanced the understanding of fundamental plasma physical processes. The methods and results presented in this work contribute to a deeper insight into the behavior of complex plasmas and lay the groundwork for future investigations in both terrestrial and space based plasma environments. The published open-source methods provide a flexible framework for the implementation of additional models and can be used to analyze future experiments, enabling the generation of higher statistical significance.