Tools & Codes


A one-dimensional, hydrostatic, plane-parallel and spherical LTE model atmospheres. MARCS has been applied to oxygen-rich and carbon-rich AGB stars, M-dwarfs, White-dwarfs and lately also to Brown Dwarfs and young, giant exoplanets.



ProDiMo (PROtoplanetary DIsk MOdel) is a scientific software package in FORTRAN 90 to model protoplanetary disks including gas phase, X-ray and UV-photo-chemistry, gas heating and cooling balance, disk structure and (dust & line) radiative transfer. ProDiMo is available on a collaborative basis.

First publications:
Woitke et al. (2009) – Radiation thermo-chemical models of protoplanetary disks. I. Hydrostatic disk structure and inner rim
Kamp et al. (2010) – Radiation thermo-chemical models of protoplanetary disks. II. Line diagnostics
Thi et al. (2011) – Radiation thermo-chemical models of protoplanetary discs – III. Impact of inner rims on spectral energy distributions

ProDiMo Day:  3 December 2020



A numerical model designed for study of the atmosphere, ocean, and climate, it has recently been applied to study the giant gas planet WASP-43b.



Fast chemical equilibrium code with or without equilibrium condensation down to 100K. The code is publicly available through github.

P. Woitke, Ch. Helling, G. H. Hunter, J. D. Millard, G. E. Turner, M. Worters, J. Blecic, J. W. Stock (2018) – Equilibrium chemistry down to 100 K. Impact of silicates and phyllosilicates on carbon/oxygen ratio
O. Herbort, P. Woitke, Ch. Helling, A. Zerkle (2020) – The atmospheres of rocky exoplanets. I. Outgassing of common rock and the stability of liquid water

Introduction to GGChem:   Video   (YouTube)



The ARCiS framework for exoplanet modelling and retrieval is under development and will be presented in a sequence of papers.  The guiding philosophy behind the approach is to provide a framework where we can optimally combine theory and observations to extract knowledge and learn about the processes in exoplanet atmospheres.

Min et al. (2020, A&A) – The ARCiS framework for Exoplanet Atmospheres: Modelling Philosophy and Retrieval