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X-WR-CALDESC:AI4S Seminar October
X-WR-CALNAME:AI4S Seminar October
X-WR-TIMEZONE:Asia/Tokyo
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DTSTART:19700101T000000
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BEGIN:VEVENT
UID:1001624@techplay.jp
SUMMARY:AI4S Seminar October
DTSTART;TZID=Asia/Tokyo:20261021T160000
DTEND;TZID=Asia/Tokyo:20261021T173000
DTSTAMP:20261013T201630Z
CREATED:20261013T140120Z
DESCRIPTION:イベント詳細はこちら\nhttps://techplay.jp/event/10016
 24?utm_medium=referral&utm_source=ics&utm_campaign=ics\n\nSpeaker: Ken Os
 ato (Chiba University)\n\nTalk title: The Differentiable Universe: From S
 ummary Statistics to Field-Level Analysis\n\nAbstract\nUnderstanding the 
 nature of dark matter and dark energy is one of the fundamental challenge
 s in modern cosmology. Recent advances in astronomical observations have 
 enabled us to map the distribution of galaxies and matter across vast reg
 ions of the Universe with unprecedented precision. These observations pro
 vide critical clues to understanding the composition and evolution of the
  Universe. Traditionally\, cosmological analyses have relied on summary s
 tatistics\, such as correlation functions and power spectra\, to extract 
 information from these enormous datasets. While these methods have been h
 ighly successful\, they do not capture all the information contained in t
 he observations\, particularly in the complex structures formed by nonlin
 ear gravitational evolution.\nRecent developments in differentiable cosmo
 logical simulations offer a new approach to overcoming these limitations.
  These simulations allow us to calculate how changes in the underlying ph
 ysical parameters affect the predicted distribution of matter in the Univ
 erse. This capability opens up new possibilities for analyzing observed c
 osmic structures more directly\, rather than relying solely on summary st
 atistics. In this talk\, I will review the challenges of current cosmolog
 ical analyses and introduce recent advances in differentiable simulations
  and their applications to field-level analysis. I will discuss how these
  new approaches could help us make better use of astronomical observation
 s and ultimately deepen our understanding of dark matter\, dark energy\, 
 and the evolution of the Universe.
LOCATION:オンライン
URL:https://techplay.jp/event/1001624?utm_medium=referral&utm_source=ics&ut
 m_campaign=ics
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