Machine Learning Seminar: Georg Schwefer

ECAP Laboratory, 00.061 Nikolaus-Fiebiger-Str. 2, Erlangen, Germany

Likelihood-free inference and gamma-ray astronomy Estimating (physical) model parameters θ from experimental data x is one of the core tasks in any field of physics. Statistical estimation procedures frequently make use of the likelihood function p(x|θ). Often, the likelihood can not be evaluated explicitly, but can be efficiently sampled from....

ECAP Seminar: Oliver Friedrich, LMU Sternwarte

ECAP Laboratory, 00.061 Nikolaus-Fiebiger-Str. 2, Erlangen, Germany

Forcing neutrinos to obey the holographic principle Gravity does not like the vast amounts of states present in QFT, and quantum gravitational effects are expected to drastically reduce the dimension of the QFT Hilbert space. This is e.g. achieved by "operator dressing", which changes the commutation relations of quantum fields....

ECAP Seminar: Philipp Windischhofer, U Chicago

ECAP Laboratory, 00.061 Nikolaus-Fiebiger-Str. 2, Erlangen, Germany

Exploring the Universe at the Highest Energies: when Particle Physics and Astronomy meet High-energy neutrinos propagating over cosmological distances are the ideal messenger particles for astrophysical phenomena, but the neutrino landscape above 10 PeV is still mostly unexplored. At these extreme energies, neutrinos can image the most extreme objects in...