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SUMMARY:Dreaming of Atmospheres - Ingo Waldmann (UCL)
DTSTART:20170531T150000Z
DTEND:20170531T160000Z
UID:TALK72244@talks.cam.ac.uk
CONTACT:Ed Gillen
DESCRIPTION:The field of exoplanetary spectroscopy is as fast moving as it
  is new. Analysing currently available observations of exoplanetary atmosp
 heres often invoke large and correlated parameter spaces that can be diffi
 cult to map or constrain. This is true for both: the data analysis of obse
 rvations as well as the theoretical modelling of their atmospheres. Modell
 ing both sets of correlations in data and modelling is key to understandin
 g the nature of exoplanet atmospheres. \n\nIn this seminar I will discuss 
 how these improvements in machine learning can be applied to exoplanetary 
 spectroscopy to solve some of said correlations in the parameter space. In
  particular\, I will discuss how concepts of information theory and statis
 tical entropy can be used to solve some long standing problems in the data
  analysis and interpretation of exoplanetary atmospheric data. This move t
 o a uniform modelling of exoplanet data will allow us to gain new access u
 nderlying correlations in the atmospheric physics of exoplanets. 
LOCATION:Martin Ryle Seminar Room\, Kavli Institute
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