I am professor for theoretical astrophysics at Heidelberg University. My research activities focus on the formation of stars at present days and inthe early universe, on the dynamics of the interstellar medium, on astrophysical turbulence, and on the development of numerical methods for computational astrophysics.

For an overview of my curriculum vitae follow this LINK.

For my website at the Center for Astronomy at Heidelberg University follow this LINK.

I recently received an ERC synergy grant together with Patrick Hennebelle (CEA, Saclay), Sergio Molinari (INAF, Rome), and Leonardo Testi (ESO, Garching). More information is found on this LINK.

Current Research Highlight

March 2021: Measuring Young Stars in Space and Time — I. The Photometric Catalog and Extinction Properties of N44

Ksoll, Victor F.; Gouliermis, Dimitrios; Sabbi, Elena; Ryon, Jenna E.; Robberto, Massimo; Gennaro, Mario; Klessen, Ralf S.; Koethe, Ullrich; de Marchi, Guido; Chen, C. -H. Rosie; Cignoni, Michele; Dolphin, Andrew E.: Astronomical Journal, in press (2021) [ADS link]

N44 region in the LMC from the MYSST HST survey with the observations in F555W in blue and F814W in green.

In order to better understand the role of high-mass stellar feedback in regulating star formation in giant molecular clouds, we carried out a Hubble Space Telescope (HST) Treasury Program „Measuring Young Stars in Space and Time“ (MYSST) targeting the star-forming complex N44 in the Large Magellanic Cloud (LMC). Using the F555W and F814W broadband filters of both the ACS and WFC3/UVIS, we built a photometric catalog of 461,684 stars down to mF555W ≃ 29 mag and mF814W ≃ 28 mag, corresponding to the magnitude of an unreddened 1 Myr pre-main-sequence star of ≈0.09M⊙ at the LMC distance. In this first paper we describe the observing strategy of MYSST, the data reduction procedure, and present the photometric catalog. We identify multiple young stellar populations tracing the gaseous rim of N44’s super bubble, together with various contaminants belonging to the LMC field population. We also determine the reddening law from the slope of the red clump feature by applying the machine learning algorithm RANSAC, and we select a set of Upper Main Sequence (UMS) stars as primary probes to build an extinction map, deriving a relatively modest median extinction AF555W ≃ 0.77 mag. The same procedure applied to the red clump provides AF555W ≃ 0.68 mag.

Earlier Research Highlights

For the all monthly research highlights follow this LINK.

Funding Sources