Machine Learning: from Quantum Technologies to Neuromorphic Devices  

Evidence for high-energy neutrinos from the Galactic plane The Milky Way, our home galaxy, is visible to the eye as a faint band of light in the night sky. This emission from the Galactic plane extends over a wide range of the electromagnetic spectrum, from radio to gamma rays. A...

Looking for dark matter in gamma rays - can machine learning help? We live in a ‘golden’ time for studies of high-energy (HE) astrophysics as a series of satellite and ground based telescopes currently provide high-precision data, critical to answer the century old questions on the origin of cosmic rays...

Civilian and military use of nuclear technology To exploit nuclear technology for civilian purposes, in particular energy production, a variety of facilities - a nuclear fuel cycle - is necessary, comprising reactors and uranium enrichment plants among others. These same facilities, however, produce the fissile materials that are required to...

Exploring the signatures of cosmic ray feedback effects in galaxy ecosystems Cosmic rays go hand-in-hand with violent and energetic astrophysical conditions. They are an active agent within galactic and circumgalactic ecosystems, where they can deposit energy and momentum, modify the circulation of baryons, and even have the potential to regulate...

Recent Highlights from the VERITAS AGN Program VERITAS is one of the world’s most sensitive detectors of astrophysical very high energy (VHE; E > 100 GeV) gamma rays. This observatory began full-scale operations in 2007, and more than 8,000 hours of its good-weather observations have been targeted on active galactic...

Improving our understanding of machine learning robustness - in microscopy and beyond A central goal when applying machine learning in the biomedical research and medical imaging is to answer relevant interdisciplinary questions robustly and reliably across various setups and ideally modalities; however, this is challenged by different imaging systems, differences...

Muon Hunting with the Crowd: Combining Humans and Machines to Solve Big Data Problems In this presentation, I will describe the Zooniverse.org citizen science platform as a tool to gather labels from over 2.7 million dedicated volunteers worldwide who are motivated to participate in scientific research. Hundreds of research teams...

Thermal X-ray emission from supernova remnants in 3D (M)HD simulations Every supernova (SN) injects around 10^51 ergs into the interstellar medium (ISM), shaping the ISM’s chemical, thermal, and dynamic evolution. Around 70% of the injected energy is subsequently lost by radiative cooling. However, the fate of the emitted cooling photons...

Signal reconstruction for fields using probabilistic forward modeling Many inference tasks in observational astronomy take the form of reconstruction problems where the underlying quantities of interest are fields (functions of space, time and/or frequency) that have to be recovered from noisy and incomplete observational data. These problems are in general...

Rotation-powered pulsars and their nebulae – the eROSITA view SRG/eROSITA is a soft X-ray (0.2 - 10 keV) telescope which has carried out the deepest X-ray all-sky survey to date. In this talk, I will present how the eROSITA data can be used to study rotation-powered pulsars and their pulsar...