BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//CERN//INDICO//EN
BEGIN:VEVENT
SUMMARY:Searching for Axions and new concepts in fundamental physics with 
 Machine Learning
DTSTART;VALUE=DATE-TIME:20191107T070500Z
DTEND;VALUE=DATE-TIME:20191107T073500Z
DTSTAMP;VALUE=DATE-TIME:20260724T113242Z
UID:indico-contribution-6@sshep.snu.ac.kr
DESCRIPTION:Speakers: Sven Krippendorf (Ludwig Maximilian University of Mu
 nich)\nIn this talk\, I will review how ultralight axion-like particles ca
 n be constrained using X-ray observations of bright localized sources (AGN
 s\, Quasars) in and behind galaxy clusters. To find axion-like particles i
 n these settings corresponds to finding their characteristic pattern (quas
 i-sinusoidal oscillations) in noisy data. Using ML-techniques we are able 
 to improve the search sensitivity for these particles and are able to set 
 stronger bounds compared to previous methods. In the second part of the ta
 lk\, I shall highlight avenues where ML can be used to accelerate our unde
 rstanding of fundamental physics (string theory) and potentially vice vers
 a.\n\nhttps://sshep.snu.ac.kr/event/107/contributions/6/
LOCATION:Seoul National University\, College of Natural Sciences\, Buildin
 g 25-1 국제회의실 (International Conference Hall)
URL:https://sshep.snu.ac.kr/event/107/contributions/6/
END:VEVENT
END:VCALENDAR