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METHOD:PUBLISH
X-WR-CALNAME:Centre for Mathematical Sciences
X-ORIGINAL-URL:http://math-sciences.org
X-WR-CALDESC:Events for Centre for Mathematical Sciences
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TZID:UTC
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TZOFFSETFROM:+0000
TZOFFSETTO:+0000
TZNAME:UTC
DTSTART:20210101T000000
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BEGIN:VEVENT
DTSTART;TZID=UTC:20210331T160000
DTEND;TZID=UTC:20210331T170000
DTSTAMP:20210423T115003
CREATED:20201209T173845Z
LAST-MODIFIED:20201209T180009Z
UID:3960-1617206400-1617210000@math-sciences.org
SUMMARY:Antonino Padilla (Nottingham)
DESCRIPTION:
URL:http://math-sciences.org/event/antonino-padilla-nottingham/
LOCATION:Zoom
CATEGORIES:Seminars,Theoretical Physics
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20210414T160000
DTEND;TZID=UTC:20210414T170000
DTSTAMP:20210423T115003
CREATED:20210224T131821Z
LAST-MODIFIED:20210409T105541Z
UID:4018-1618416000-1618419600@math-sciences.org
SUMMARY:Danièle Steer (Paris)
DESCRIPTION:Cosmology and tests of General Relativity with gravitational waves: latest results from LIGO-Virgo\, and outlook. \nIn this talk I will explain how current\, and also future\, GW observations can help probe the standard cosmological model. In the first part I will focus on the determination of the Hubble Constant with LIGO-Virgo\, providing the latest results\, and explaining the orgin of different sources of errors in the Hubble constant measurement. Then we will discuss what GWs can say about what lies beyond the standard Lambda CDM cosmological model\, namely how with GWs one can probe theories of gravity beyond general relativity.
URL:http://math-sciences.org/event/daniele-steer-paris/
LOCATION:Zoom
CATEGORIES:Seminars,Theoretical Physics
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20210421T100000
DTEND;TZID=UTC:20210421T110000
DTSTAMP:20210423T115003
CREATED:20210210T103119Z
LAST-MODIFIED:20210409T100322Z
UID:4012-1618999200-1619002800@math-sciences.org
SUMMARY:Hidetoshi Taya (Keio)
DESCRIPTION:How time-dependent electric fields affect the Schwinger mechanism? \nThe Schwinger mechanism\, the vacuum pair production in the presence of strong electric fields\, is one of the most remarkable predictions of strong-field QED. For a constant electric field\, it was established by Schwinger in 1951 that the vacuum pair production is driven by quantum tunneling and the resulting production number is non-perturbatively suppressed. The constant electric field configuration is\, however\, too idealistic. Strong electric fields that may be realized in actual physical situations (e.g.\, intense lasers and heavy-ion collisions) must be time- (as well as space-) dependent. Thus\, we need to go beyond Schwinger’s constant-field result. \nIn this talk\, I discuss how time-dependence affects the vacuum pair production based on my works. In particular\, I plan to discuss (1) the interplay between non-perturbative and perturbative pair production mechanisms and show that the widely-used Keldysh parameter is not the only parameter that controls the interplay [1\, 2]; (2) dynamically assisted Schwinger mechanism and Franz-Keldysh effect in strong-field QED based on the perturbation theory in the Furry picture [3]; and (3) spin and chirality production by time-depending electric fields [4\, 5\, 6]. \nRefs: \n[1] HT\, H. Fujii\, K. Itakura\, PRD 90\, 014039 (2014) \n[2] HT\, T. Fujimori\, T. Misumi\, M. Nitta\, N. Sakai\, JHEP 03\, 082 (2021) \n[3] HT\, PRD 99\, 056006 (2019) \n[4] X.-G. Huang\, M. Matsuo\, HT\, PTEP 2019\, 113B02 (2019) \n[5] X.-G. Huang\, HT\, PRD 100\, 016013 (2019) \n[6] HT\, PRR 2\, 023257 (2020)
URL:http://math-sciences.org/event/hidetoshi-taya-keio/
LOCATION:Zoom
CATEGORIES:Seminars,Theoretical Physics
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20210428T160000
DTEND;TZID=UTC:20210428T170000
DTSTAMP:20210423T115003
CREATED:20210311T181700Z
LAST-MODIFIED:20210416T113415Z
UID:4024-1619625600-1619629200@math-sciences.org
SUMMARY:Dimitrios Bachtis (Swansea)
DESCRIPTION:Quantum field-theoretic machine learning \nThe precise equivalence between discretized Euclidean field theories and Markov random fields\, as established by the Hammersley-Clifford theorem\, opens up the opportunity to investigate machine learning from the perspective of quantum field theory. In this talk I will discuss a variety of interconnected topics: Markov properties for quantum fields\, the derivation of machine learning algorithms and of neural networks from the $\phi^{4}$ scalar field theory and the minimization of distance metrics between probability distributions. I will then conclude by presenting applications pertinent to the quantum field-theoretic machine learning algorithms.
URL:http://math-sciences.org/event/dimitrios-bachtis-swansea/
LOCATION:Zoom
CATEGORIES:Seminars,Theoretical Physics
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