Talk Polsterer

Accessing complex structures with unsupervised and deep-learning techniques

Dr. Kai Polsterer, Invited Keynote, ASI 2023, Indore, India: The amount and size of astronomical data-sets was growing rapidly in the last decades. Now, with new technologies and dedicated survey telescopes, the databases are growing even faster. VO-standards provide uniform access to this data. What is still required is a new way to analyze and …

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Prof. Peter Schilke, Invited lecture at VAMCD consortium meeting, Cologne, Germany: Analyzing the large amounts of spectral data coming from modern instruments such as ALMA is a challenge, and remains a bottleneck in the path from observation to publication. There are two aspects to this: obtaining and providing the required fundamental data (frequencies, line strengths, …

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