5-6 October 2017
Würzburg, Festung Marienberg
Europe/Berlin timezone
GLOW Annual Assembly and GLOW-SKA Meeting

Multi-Wavelength Source Identification using Machine Learning Methods

5 Oct 2017, 16:15
Room Egloffstein (Würzburg, Festung Marienberg)

Room Egloffstein

Würzburg, Festung Marienberg


Dominik Elsaesser (TU Dortmund)


Driven by a wealth of upcoming missions and observatories across a wide frequency range, astronomy is entering a new era of survey science. As data volumes grow rapidly and data structures become more heterogeneous, progress regarding source populations will still crucially depend from efficient identification of sources across these multi-frequency and multi-messenger datasets. In recent years, machine learning approaches have matured into a powerful research tool for automatic source classification. In this talk, chances and challenges of machine learning methods as used already for gamma-ray observations will be discussed in the context of upcoming large radio surveys.

Primary author

Dominik Elsaesser (TU Dortmund)

Presentation Materials

There are no materials yet.
Your browser is out of date!

Update your browser to view this website correctly. Update my browser now