Springe direkt zu Inhalt

Dr. Philipp Baumeister

Baumeister_Philipp

Postdoctoral Researcher - DIVerse Exoplanet Redox State Estimations (DIVERSE)

Address
Malteserstr. 74-100
Room D-209
12249 Berlin
Email
philipp.baumeister[at]fu-berlin.de

2018 - 2023

PhD in Physics at Technische Universität BerlinDissertation: Interior structure, mantle-atmosphere co-evolution, and habitability of low-mass exoplanets

2015 - 2017 

M.Sc. in Physics at Technische Universität BerlinThesis: Influence of heat-piping on the Earth’s interior evolution

2011 - 2015 

B.Sc. in Physics at Technische Universität Berlin
Thesis: In-situ Raman-Spektroskopie der Synthese von Silikat-Hüllen um CdSe/CdS-Nanopartikel

Publications

Baumeister, P. and Tosi, N. (2023) ExoMDN: Rapid characterization of exoplanet interior structures with Mixture Density Networks, Astronomy & Astrophysics (2023). DOI: 10.1051/0004-6361/202346216.

Baumeister, P., Tosi, N., Brachmann, C., Grenfell, J. L. and Noack, L. (2023) Redox state and interior structure control on the long-term habitability of stagnant-lid planets, Astronomy & Astrophysics, 675, p. A122. DOI: 10.1051/0004-6361/202245791. 

Cabrera, J., Gandolfi, D., Serrano, L. M., Csizmadia, S., Egger, J.A., Baumeister, P., Krenn, A., et al. (2023) The planetary system around HD 190622 (TOI-1054): Measuring the gas content of low-mass planets orbiting F-stars, Astronomy & Astrophysics 675, p. A183. DOI: 10.1051/0004-6361/202245774. 

MacKenzie, J., Grenfell, J. L., Baumeister, P., Tosi, N., Cabrera, J. and Rauer, H. (2023) Effect of improved atmospheric opacities in modeling sub-Neptunes: A case study for GJ 1214 b, Astronomy & Astrophysics 671, p. A65. DOI: 10.1051/0004-6361/202141784.

Höning, D., Baumeister, P., Grenfell, J. L., Tosi, N. and Way, M.J. (2021) Early Habitability and Crustal Decarbonation of a Stagnant‐Lid Venus, Journal of Geophysical Research: Planets, 126(10). DOI: 10.1029/2021JE006895.

Baumeister, P., Padovan, S., Tosi, N., Montavon, G., Nettelmann, N., MacKenzie, J. and Godolt, M. (2020) Machine-learning Inference of the Interior Structure of Low-mass Exoplanets, The Astrophysical Journal, 889(1), p. 42. DOI: 10.3847/1538-4357/ab5d32.

Padovan, S., Spohn, T., Baumeister, P., Tosi, N., Breuer, D., Csizmadia, S., Hellard, H. and Sohl, F. (2018) Matrix-propagator approach to compute fluid Love numbers and applicability to extrasolar planets, Astronomy & Astrophysics, 620, p. A178. DOI: 10.1051/0004-6361/201834181. 

Baumeister, P. and Tosi, N. (2022). Interior Structure of Low-Mass Exoplanets. In: Gargaud, M., et al., Encyclopedia of Astrobiology. Springer, Berlin, Heidelberg. DOI: 10.1007/978-3-642-27833-4_5608-1.