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SUMMARY:Coherent Multi-stage Data Analyses in Astronomy and Solar Physics
DTSTART:20220304T151500
DTEND:20220304T170000
DTSTAMP:20260508T120548Z
UID:408c6f71ba8cf616161e5ba5f5c23c009cac48e1f79c1e62492c91f5
CATEGORIES:Conferences - Seminars
DESCRIPTION:Professor David van Dyk\, Imperial College London\nToday’s s
 ophisticated telescopes are providing massive new surveys containing terab
 ytes of data\, including high resolution spectrography and imaging across 
 the electromagnetic spectrum. Dramatic increases in the quality and quanti
 ty of astrophysical data have enabled explicit detailed modelling of the p
 hysical processes that power complex astrophysical objects. This requires 
 combining multiple models and data sources into an omnibus analysis\, wher
 e outputs from one analysis are the inputs of subsequent analyses. In/Outp
 uts may be high-dimensional with difficult-to-quantify correlations.\n\nRe
 searchers involved in such a chain of analyses may work quite independentl
 y with different research groups having different areas of expertise and d
 ifferent levels of statistical sophistication. Typically\, this involves a
  combination of data-driven methods that are agnostic to the underlying ph
 ysics with model-based methods that are tailored to specific scientific qu
 estions.\n\nIn this talk we explore how this plays out in the context of s
 everal examples taken from astrophysics\, ranging from studying the expans
 ion history of the universe\, to mapping the physical characteristics of t
 he solar corona. We will discuss how analyses based on pragmatic approxima
 tions compare with fully-Bayesian analyses\, all with the goal of obtainin
 g a coherent overall statistical analysis with reliable quantification of 
 uncertainty.\n 
LOCATION:GA 3 21 https://plan.epfl.ch/?room==GA%203%2021 https://epfl.zoom
 .us/j/68824046325
STATUS:CONFIRMED
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