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Physical Cosmology Group

                                                                                                                        Abell 2218 (Credit: NASA Images)

abell

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 Dark Energy Science Collaboration DESC at the Rubin Observatory Legacy Survey of Space and Time, the Hobby-Eberly Telescope Dark Energy Experiment  HETDEX, the eRosita x-ray satellite mission, the Square Kilometer Array SKA and the LiteBird satellite mission.

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

Cosmic shear in harmonic space from the Dark Energy Survey Year 1 Data: compatibility with configuration space results, Camacho, H. et al.,Monthly Notices of the Royal Astronomical Society, 516, 5799, (2022)

Euclid preparation. XXVII. Covariance model validation for the 2-point correlation function of galaxy clusters, Euclid Collaboration et al.,2022arXiv221112965E

Why Cosmic Voids Matter: Nonlinear Structure & Linear Dynamics, Schuster, Nico et al.,arXiv:2210.02457

Dark Energy Survey Year 3 results: Imprints of cosmic voids and superclusters in the Planck CMB lensing map, Kovács, A. et al.,Monthly Notices of the Royal Astronomical Society, 515, 4417, (2022)

On the relative bias of void tracers in the Dark Energy Survey, Pollina, G. et al.,Monthly Notices of the Royal Astronomical Society, 487, 2836, (2019)

The Dark Energy Survey Image Processing Pipeline, Morganson, E. et al.,Publications of the Astronomical Society of the Pacific, 130, 074501, (2018)

Simulating the inflationary Universe: from single-field to the axion-U(1) model, Caravano, Angelo et al.,arXiv:2209.13616

Lattice simulations of Abelian gauge fields coupled to axions during inflation, Caravano, Angelo et al.,Physical Review D, 105, 123530, (2022)

Improving the accuracy of estimators for the two-point correlation function, Kerscher, Martin et al.,Astronomy and Astrophysics, 666, A181, (2022)

Updated neutrino mass constraints from galaxy clustering and CMB lensing-galaxy cross-correlation measurements, Tanseri, Isabelle et al.,Journal of High Energy Astrophysics, 36, 1, (2022)

Modified gravity approaches to the cosmological constant problem, The FADE Collaboration et al.,arXiv:2210.06810

Euclid preparation. XXVII. Covariance model validation for the 2-point correlation function of galaxy clusters, Euclid Collaboration et al.,2022arXiv221112965E

Euclid: Modelling massive neutrinos in cosmology -- a code comparison, Adamek, J. et al.,2022arXiv221112457A

CYJAX: A package for Calabi-Yau metrics with JAX, Gerdes, Mathis et al.,2022arXiv221112520G

A duality connecting neural network and cosmological dynamics, Krippendorf, Sven et al.,Machine Learning: Science and Technology, 3, 035011, (2022)

The bias of cosmic voids in the presence of massive neutrinos, Schuster, Nico et al.,Journal of Cosmology and Astroparticle Physics, 2019, 055, (2019)