I have developed a comprehensive pipeline for the automated analysis of integral field spectroscopy (IFS) data, integrating spectral synthesis, kinematic extraction, and gas-phase diagnostics. Leveraging parallel processing for detailed IFS data analysis, this innovative computational tool enables precise structural studies of spiral galaxies, providing insights into the co-evolution of their stellar and gaseous components. By processing MUSE galaxy observations, the pipeline generates detailed maps of stellar age, metallicity, kinematics, emission-line fluxes, and equivalent widths, facilitating the efficient analysis of substantial galaxy samples. The pipeline will be made publicly available upon the project's completion, though it has already been shared with my PhD student for use in her research. Additionally, I have acquired expertise in advanced computational methods through my work with the Vienna Scientific Cluster (VSC), Austria's leading high-performance computing facility. I am proficient in using DYNAMITE, a computationally intensive tool for orbit-based dynamical modeling, and have extensive experience extracting stellar kinematics using conventional techniques like pPXF, as well as the Bayesian-based BayesLOSVD, which offers greater robustness in kinematic analysis. In addition, I have gained proficiency in using BANG which uses analytical potential-density pairs as galactic components. Combining the results obtained with this pipeline with the ones from dynamical modeling, I am currently focusing on uncovering the true shapes of the structural components of disk galaxies. A key aspect of my research involves developing a new formula to accurately describe the morphology of spiral galaxy disks. Once completed, I intend to publish findings that will clarify how the intrinsic disk structure correlates with key galaxy properties, revisiting earlier studies that overlooked the downbending of inner disks. Although the majority of the work plan has been completed, this final phase of the analysis is expected to be finalized over the next six months, in accordance with the timeline and funding provided by the University of Vienna via the Franziska Seidl Funding Program.
