I am an astrophysicist studying exoplanets and planet formation.
My research revolves around exoplanet demographics and planets around cool stars.
I devote part of my work time to developing a novel method for atmospheric CO2 removal.
Since early 2022, I am a postdoctoral researcher at the University of Arizona, where I work with Prof. Daniel Apai.
Previously, I was at the Max Planck Institute for Astronomy and graduated from the University of Heidelberg with a PhD in astronomy.
This project puts our planet formation theories to the test. After adapting our models to low-mass stars in Burn, Schlecker, et al. 2021, we compare simulated planet populations to radial velocity (RV)-detected planets around M dwarfs.
A key part of this analysis was accounting for detection biases, which we accomplished by injecting artificial planets in the real measured RV time series and trying to recover them. We found that while our models agree with the distributions of small, terrestrial planets, there is a striking discrepancy for giant planets: They have been found around the lightest stars in our sample, which our simulations cannot reproduce. There is also an interesting lack of short-period planets around the more massive host stars, which points to a - currently not well understood - planet migration trap around these stars.
As it turns out, M dwarfs are not just small Suns.
This exciting project is only marginally related to my research focus, but it is close to my heart. Its goal is to develop a highly scalable technological solution for removal and safe sequestration of atmospheric CO2.
Our approach involves a special species of photosynthesizing algae, called Coccolithophores, which we breed in a novel type of bioreactor. We have patented the use of this bioreactor for removing carbon dioxide, and we now optimize the design to scale up our extraction capacity. It's exciting to work together with (astro-)biologists, ecologists, and bioengineers in our highly interdisciplinary team! Learn more about our solution on Atmospherica's project homepage.
State-of-the-art planet formation models are more and more capable of accounting for the full spectrum of known planet types, but this comes at the cost of increasing model complexity. This calls into question whether established links between the initial conditions of the simulations and the calculated planetary observables are preserved.
In our paper, we take a data-driven approach to investigate such relations in a global model of planet formation and evolution. First, we used a Gaussian Mixture Model to perform a cluster analysis on typical exoplanet observables such as planet radius, mass, and orbital distance. Interestingly, the algorithm identified roughly the same planet species as the ones defined by exoplanet observations (without knowing anything about the physical model or planet demographics!).
Then, we trained a Random Forest Classifier to predict which planet type forms, given certain properties of the originating protoplanetary disk. This way, we could not only find the most predictive features of the disks, but also pinpoint the influence of gravitational interactions in multi-planet systems to specific planet types.
In this paper, we tested what planet formation has to say about a peculiar trend that has been found in exoplanet demographics: around solar-type stars, inner super-Earths and outer giant planets tend to occur together.
This challenges some established planet formation theories that predicted an anti-correlation of these planet types.
Our synthetic population of 1000 multi-planet systems supports the observed trend, but with important caveats.
When we associate our initial conditions with the composition of the resulting planets, we see a quite interesting link: Depending on the initial solid mass, we either get isolated, icy super-Earths or rocky ones that have a cold Jupiter companion. This gives rise to the testable hypothesis that high-density inner super-Earths are proxies for cold Jupiters in the same system. A confirmation of this prediction would constrain central open questions in contemporary planet formation theory, ranging from efficiency of pebble accretion to planet migration behavior.
The orbital parameters of warm Jupiters serve as a record of their formation history, providing constraints on formation scenarios for giant planets on close and intermediate orbits. In this study with the WINE (Warm gIaNts with tEss) collaboration, we report the discovery of a new exoplanet that we detected in full frame images of the TESS space telescope and followed up with ground-based photometry (CHAT and LCOGT) and radial velocity measurements (FEROS). We precisely constrained its mass to Mp= 1.94 +/- 00.1 Mj, and its radius to Rp = 1.24 +/- 0.15 Rj.
It orbits a G-type star, similar to the Sun (Ms = 1.03 +/- 0.06 Msun, V = 12.1 mag), on one of the most eccentric orbits of all known warm giants. In fact, with a period of 15.17 d and e ≈ 0.58 its orbital parameters resemble those of the TESS spacecraft itself. This extreme dynamical state points to a past interaction with an additional, undetected massive companion. A tidal evolution analysis showed a large tidal dissipation timescale, suggesting that the planet is not a progenitor for a hot Jupiter caught during its high-eccentricity migration. This planet further represents an attractive opportunity to study the energy deposition and redistribution in the atmosphere of a warm Jupiter with high eccentricity.
The ExoEarth Discovery and Exploration Network (EDEN) transit survey is a large-scale search for transiting habitable zone Earth-sized planets around nearby stars. In contrast to most ongoing and past surveys, the EDEN team utilizes large research telescopes (0.8 m–2.4 m), which allows for efficient probing of the habitable zones of late M-dwarf stars.
During my time in Heidelberg, I led a team of 14 PhD students and post-docs that observes with one of EDEN's workhorses, the Calar Alto 1.2 m telescope. As of 2021, we contributed more than 200 full nights of observations. Being interested in planet demographics, I am also involved in EDEN's target selection and survey statistics.
My trajectory in science
For my Master's project, I investigated irregular transit signatures in photometry of the Kepler space telescope.