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SUMMARY:Machine Learning in Cosmology
DTSTART;VALUE=DATE-TIME:20231205T113000Z
DTEND;VALUE=DATE-TIME:20231205T115000Z
DTSTAMP;VALUE=DATE-TIME:20260516T055959Z
UID:indico-contribution-1919@events.chpc.ac.za
DESCRIPTION:Speakers: Yin-Zhe Ma (University of KwaZulu-Natal)\nCosmology\
 , the understanding of the evolution of entire Universe\, has progressed v
 ery fast in the past several decades with the advances of modern telescope
 s. I will give a brief overview of the modern cosmology of the last centur
 y and highlight its phenomenal successes and distinctive challenges. I wil
 l then explain how and why the use of Machine Learning technique can help 
 unravel these mysteries and exploit the uncharted territories of the early
  Universe. In particular\, I will give several cases of using machine lear
 ning to constrain primordial non-Gaussian fluctuations in the cosmic micro
 wave background radiation\, and studying the epoch of reionization.\n\nhtt
 ps://events.chpc.ac.za/event/125/contributions/1919/
LOCATION:Skukuza 1-1-2+4 - Ndau + Nari
URL:https://events.chpc.ac.za/event/125/contributions/1919/
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