ECAP Seminar: Carlos Arguelles
News from the IceCube Neutrino Observatory and Related Phenomenology It has been ten years since IceCube, a neutrino detector embedded in the Antarctic glacier, has detected high-energy astrophysical neutrinos. In […]
News from the IceCube Neutrino Observatory and Related Phenomenology It has been ten years since IceCube, a neutrino detector embedded in the Antarctic glacier, has detected high-energy astrophysical neutrinos. In […]
Community, Standardisation, and Reproducibility: does open-source software help advancing high-energy astrophysics? In this talk, I will discuss how high-energy astrophysics, and gamma-ray astronomy in particular, are being transformed by several […]
Pulsar polarization: explanations and applications Pulsar radio emission, and particularly its polarization, is a key probe of neutron star physics. This, in turn, means that we can use it to […]
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 […]
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 […]
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, […]
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 […]
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 […]
Multi-messenger Lighthouses of the Universe: The many extremes of Active Galactic Nuclei Abstract: Active galactic nuclei (AGN) make the most significant contribution to the overall energy balance in the Universe […]
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 […]
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 […]