Physical Cosmology Group
Abell 2218 (Credit: NASA Images)
We are located at the University Observatory Munich (USM). We work on the interface between theoretical and observational cosmology. Our main research interest is in confronting modern cosmological theories with observations. Here we have in particular a strong research program in exploiting galaxy clusters and cosmic voids, but also in more general probes of the large-scale structure and the cosmic microwave back ground. One of our main motivations is to understand the nature of the cosmic acceleration in the Universe. Here we try to constrain theoretical models from standard dark energy, coupled scalar fields to theories which extend Einstein's gravity at large distances. In order to achieve this goal we use analytical and numerical methods, such as N-body simulations of the structure formation process, state of the art statistical analysis tools and modern Bayesian techniques. Furthermore we have a strong research program in machine learning applications in astrophysics, but also apply these methods in medical physics and string theory.
We are involved in the following national and international collaborations: The Dark Energy Survey DES, The Euclid satellite mission of ESA, the Hobby-Eberly Telescope Dark Energy Experiment HETDEX, the Low Frequency Array LOFAR, ESA's Planck satellite mission, the eRosita x-ray satellite mission and the Square Kilometer Array SKA. We are members of the transregional research network TRR33, and the German Low Wavelength Consortium GLOW.
We work together with other groups at the Max Planck institutes. Among others: OPINAS and High Energy Astrophysics groups at MPE, the Cosmology research group at MPA, as well as with members of other groups at the Excellence Cluster and groups at MPP.
Recent Papers by Group Members
Measurement of Void Bias using Separate Universe Simulation, Kwan Chuen Chan, Yin Li, Matteo Biagetti, Nico Hamaus, PREPRINT, arXiv:1909.03736
Euclid preparation III. Galaxy cluster detection in the wide photometric survey, performance and algorithm selection, Euclid Collaboration, R. Adam, arXiv:1906.04707
The bias of cosmic voids in the presence of massive neutrinos, Nico Schuster, Nico Hamaus, Alice Pisani, Carmelita Carbone, Christina D. Kreisch, Giorgia Pollina, Jochen Weller, arXiv:1905.00436
On Model Selection in Cosmology, Martin Kerscher, Jochen Weller, PREPRINT, arXiv:1901.07726
Comparing Unet training with three different datasets to correct CBCT images for prostate radiotherapy dose calculations, Guillaume Landry, David Hansen, Florian Kamp, Minglun Li, Ben Hoyle, Jochen Weller, Katia Parodi, Claus Belka and Christopher Kurz, Accepted Manuscript: Physics in Medicine and Biology