Speaker
Description
Our specific interest is the analysis of both laboratory and astronomical molecular spectra using ML methods. The speed and quality of data gathered today, both in the laboratory and by astronomical instruments (e.g. ALMA) demand new and faster methods of both generating molecular line catalog entries and of analyzing astronomical data cubes. For the latter, there have been ongoing efforts in the framework of the German ALMA ARC (funded through ErUM Pro), but this funding line is not really suitable, and a new effort to make use of efficient ML methods is necessary. This could of course be extended to other wavelength ranges, since the principles are similar.
My current most burning research question, I like to find partners for, is:
Spectral line analysis and characterization
Please describe your expertise/areas in which you would like to contribute / advise.
Spectral line modeling
Please describe areas in which you can contribute to “data handling” teaching.
Handling complex molecular data cubes.
In ErUM-Data, what kind of data are you dealing with?
Spectral data cubes from interferometers
Please describe areas in which you would like to improve your knowledge / skills.
Machine Learning Methods, especially Neural Networks
What is your field and role?
Professor for Astrophysics
What is your expertise in computing and / or software development?
Original developer of XCLASS https://xclass.astro.uni-koeln.de/
| Your ErUM - Committee is | RDS - Rat Deutscher Sternwarten |
|---|---|
| Do you consent to the data usage and public abstract data posting in the ErUM-Data Community Information Exchange? | Yes |
