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X-WR-CALNAME:Erlangen Centre for Astroparticle Physics
X-ORIGINAL-URL:https://ecap.nat.fau.de
X-WR-CALDESC:Events for Erlangen Centre for Astroparticle Physics
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TZID:Europe/Berlin
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TZOFFSETFROM:+0100
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TZNAME:CEST
DTSTART:20240331T010000
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DTSTART:20241027T010000
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BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240111T130000
DTEND;TZID=Europe/Berlin:20240111T140000
DTSTAMP:20260419T181309
CREATED:20231017T124142Z
LAST-MODIFIED:20240107T214507Z
UID:4803-1704978000-1704981600@ecap.nat.fau.de
SUMMARY:ECAP Seminar: Lucy Oswald
DESCRIPTION:Pulsar polarization: explanations and applications\nPulsar radio emission\, and particularly its polarization\, is a key probe of neutron star physics. This\, in turn\, means that we can use it to advance searches for gravitational waves and to map out the invisible structures of the galaxy. However\, new and improved observations show that the conventional model of pulsar polarization behaviour does not explain everything we see. \nIn this talk\, I will describe how impressive new broad-band observations reveal key relationships between polarization features in pulsar radio emission\, and how this is related to neutron star physics. I will explain how the “partial-coherence model” accounts for these observational results\, with examples of individual and collective pulsar behaviours. Finally\, I will look to the future as we move towards the arrival of the SKA telescopes. I will discuss how large-scale pulsar surveys will advance our ability to use pulsars as accurate tools to probe high energy physics and measure gravitational waves.
URL:https://ecap.nat.fau.de/index.php/event/ecap-seminar-2024-01-11-lucy-oswald/
LOCATION:ECAP Laboratory\, 00.061\, Nikolaus-Fiebiger-Str. 2\, Erlangen\, 91058\, Germany
CATEGORIES:Seminar
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BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240117T150000
DTEND;TZID=Europe/Berlin:20240117T160000
DTSTAMP:20260419T181309
CREATED:20240109T094040Z
LAST-MODIFIED:20240109T094040Z
UID:5052-1705503600-1705507200@ecap.nat.fau.de
SUMMARY:ECAP Seminar: Florian Marquardt
DESCRIPTION:Machine Learning: from Quantum Technologies to Neuromorphic Devices\n 
URL:https://ecap.nat.fau.de/index.php/event/ecap-seminar-2024-01-17-florian-marquardt/
LOCATION:ECAP Laboratory\, 00.061\, Nikolaus-Fiebiger-Str. 2\, Erlangen\, 91058\, Germany
CATEGORIES:Seminar
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BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240118T130000
DTEND;TZID=Europe/Berlin:20240118T140000
DTSTAMP:20260419T181309
CREATED:20231025T113705Z
LAST-MODIFIED:20240116T205231Z
UID:4918-1705582800-1705586400@ecap.nat.fau.de
SUMMARY:ECAP Seminar: Mirco Huennefeld
DESCRIPTION:Evidence for high-energy neutrinos from the Galactic plane\nThe 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 fraction of the gamma-ray emission is theorized to arise from cosmic rays interacting with the interstellar medium through the decay of neutral pions. The presence of this diffuse gamma-ray emission implies the existence of Galactic neutrinos produced in associated processes. Recently\, strong evidence for the emission of high-energy neutrinos in the Galactic plane was reported by IceCube\, a neutrino detector instrumenting a cubic kilometer of glacial ice at the South Pole. This observation\, enabled by novel tools based on deep learning\, thus opens a new window to study the high-energy universe\, allowing us to further probe the properties of our own Galaxy and the origin of cosmic rays. \nIn this contribution\, I will highlight the recent observation by IceCube and the technical advances that made it possible\, in addition to providing some future prospects.
URL:https://ecap.nat.fau.de/index.php/event/ecap-seminar-2024-01-18-mirco-huennefeld/
LOCATION:ECAP Laboratory\, 00.061\, Nikolaus-Fiebiger-Str. 2\, Erlangen\, 91058\, Germany
CATEGORIES:Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240125T130000
DTEND;TZID=Europe/Berlin:20240125T140000
DTSTAMP:20260419T181309
CREATED:20231017T124142Z
LAST-MODIFIED:20240102T175122Z
UID:4805-1706187600-1706191200@ecap.nat.fau.de
SUMMARY:ECAP Seminar: Gabrijela Zaharijas
DESCRIPTION:Looking for dark matter in gamma rays – can machine learning help?\nWe 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 and physics at the heart of most energetic accelerators in the Universe. This progress has also important implications for fundamental physics\, providing a test on the nature of dark matter (DM) particles\, one of the long-lasting problems in contemporary physics. \nAnalysis of these rich data sets in a comprehensive way\, inducive to identification of telltale signs of new astro- and fundamental physics\, however\, presents a significant challenge. As one of the most promising avenues\, the machine learning (ML) techniques have been developed and embraced in a number of fields that share availability and related challenges of large data sets. In HE astrophysics however\, in particular in the subfield related to cosmic rays and their interactions in the Galaxy\, as well as in indirect DM searches\, these techniques were rarely taken advantage of\, due to particular data analysis challenges (in particular\, limited training samples). \nIn this talk I will discuss the application of ML techniques to gamma-ray Fermi-LAT data on two concrete scientific challenges: determination of the nature of the Galactic center excess and detection and classification of (faint) gamma-ray sources\, both of high relevance in both\, astro- and fundamental physics. Extension and challenges of such applications to next generation telescopes (e.g. the CTA) will also be outlined.
URL:https://ecap.nat.fau.de/index.php/event/ecap-seminar-2024-01-25-gabrijela-zaharijas/
LOCATION:ECAP Laboratory\, 00.061\, Nikolaus-Fiebiger-Str. 2\, Erlangen\, 91058\, Germany
CATEGORIES:Seminar
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