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X-WR-CALDESC:Events for Erlangen Centre for Astroparticle Physics
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DTSTART;TZID=Europe/Berlin:20240508T120000
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SUMMARY:Physics Department Colloquium: Yuri Y. Kovalev
DESCRIPTION:Multi-messenger Lighthouses of the Universe: The many extremes of Active Galactic Nuclei\nAbstract: Active galactic nuclei (AGN) make the most significant contribution to the overall energy balance in the Universe in all electromagnetic bands not dominated by the cosmic microwave background. A good understanding of physical processes and phenomena driving this contribution is paramount for addressing the key challenges in astrophysics and cosmology\, including accretion onto black holes\, electromagnetic fields\, and shock waves in relativistic plasma.\nThese factors can be best studied with comprehensive programs combining dedicated multi-band and multi-messenger measurements with ultra-high angular resolution imaging in the radio regime enabled by the technique of very long baseline interferometry (VLBI). \nIn this talk I will discuss results from several such studies which we have conducted recently\, targeting different aspects of AGN physics.\nThe discovery of extreme brightness in blazars\, made with space VLBI observations\, has set new limits on the very high rates of energy release in plasma.\nThe mounting observational indications for extragalactic neutrino production in blazar-type AGN now begin to deliver key understanding about the physics of proton\nacceleration in blazars\, either nearby central supermassive black holes or in plasma shocks embedded in the relativistic jets. Deriving from these results\,\nthe continued improvements of sensitivity and fidelity of VLBI observations\, and the expected advent of a true era of multi-messenger astronomy\,\nI will conclude by outlining several fundamental directions for studying the physical nature of AGN which will become feasible in the coming years.
URL:https://ecap.nat.fau.de/index.php/event/physics-department-colloquium-yuri-y-kovalev/
LOCATION:Hörsaalgebäude Physikum\, Staudtstr. 5\, Erlangen\, 91058\, Germany
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DTSTART;TZID=Europe/Berlin:20240516T123000
DTEND;TZID=Europe/Berlin:20240516T133000
DTSTAMP:20260422T193526
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UID:5164-1715862600-1715866200@ecap.nat.fau.de
SUMMARY:ECAP Seminar: Katharina Breininger
DESCRIPTION:Improving our understanding of machine learning robustness – in microscopy and beyond\nA 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 between a laboratory setting and the real world as well as a multitude of other factors. This talk will explore the challenge of domain generalization in digital pathology\, microscopy\, and beyond. Specifically\, we will discuss the Mitosis Domain Generalization (MIDOG) Challenge that took place at the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) in 2021 and 2022 as one example how we can work toward more robust machine learning approaches. Furthermore\, we will explore how we can potentially transfer the corresponding machine learning insights from imaging very tiny structures close-by to structures far\, far away.
URL:https://ecap.nat.fau.de/index.php/event/ecap-seminar-2024-05-16-katharina-breininger/
LOCATION:ECAP Laboratory\, 00.061\, Nikolaus-Fiebiger-Str. 2\, Erlangen\, 91058\, Germany
CATEGORIES:Seminar
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DTSTART;TZID=Europe/Berlin:20240523T130000
DTEND;TZID=Europe/Berlin:20240523T140000
DTSTAMP:20260422T193526
CREATED:20240514T130551Z
LAST-MODIFIED:20240514T130551Z
UID:5186-1716469200-1716472800@ecap.nat.fau.de
SUMMARY:ECAP Seminar: Lucy Fortson
DESCRIPTION:Muon Hunting with the Crowd: Combining Humans and Machines to Solve Big Data Problems\nIn 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 now turn to Zooniverse for crowdsourcing tasks such as image classification and annotation\, which provide the large labeled data sets needed for optimal training of machine algorithms. I will demonstrate the ease with which a project can be developed with the Zooniverse Project Builder tools and describe the infrastructure available for integrating machine learning with Zooniverse including sophisticated active learning techniques. I will provide examples from across several projects in astronomy and astroparticle physics\, with a focus on the Muon Hunter project used to gather millions of labels to train a machine algorithm for an imaging air Cherenkov telescope calibration pipeline. I will finish with a look at how we are working to combine human and machine intelligence to probe large data sets\, including those from Cherenkov telescopes\, for scientifically interesting anomalous events. \n 
URL:https://ecap.nat.fau.de/index.php/event/ecap-seminar-2024-05-23-lucy-fortson/
LOCATION:ECAP Laboratory\, 00.061\, Nikolaus-Fiebiger-Str. 2\, Erlangen\, 91058\, Germany
CATEGORIES:Seminar
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