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SYMD: Symposium SMuK Dissertationspreis 2018

SYMD 1: SMuK Dissertationspreis 2018

SYMD 1.1: Invited Talk

Monday, March 19, 2018, 14:00–14:25, Z6 - HS 0.004

The Data Mining Guide to the Galaxy and Beyond — •Sabrina Einecke — Technical University of Dortmund, Germany — The University of Adelaide, Australia

The scientific branches Big Data and Data Mining are increasingly becoming an integral part in astronomy, cosmology and particle physics. Numerous experiments in various energy regimes provide immense amounts of data that need to be accurately combined, analyzed and interpreted. Forthcoming experiments of a new era, such as CTA or SKA, will produce mind-blowing data rates of up to multiple Petabytes per second, demanding close collaborations between the branches.

This dissertation connects these in an interdisciplinary manner, and supports exciting research fields, such as population studies of blazars, the search for dark matter, or follow-up observations of transients. Furthermore, it addresses further questions, such as the origin of astrophysical neutrinos and ultra-high-energy cosmic rays, cosmological evolution, and emission and acceleration mechanisms of Active Galactic Nuclei (AGN). The validity of the newly developed data mining method to search for AGN and blazar candidates and their corresponding multi-wavelength counterparts has been confirmed, and the redshifts of the most confident candidates have been estimated. Based on that, dedicated observations with the MAGIC telescopes of the overall most promising blazar candidate have been analyzed, and have been set in a multi-wavelength context, revealing deeper insights into the object. Moreover, the MAGIC analysis has been successfully optimized by exploiting data mining methods.