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BEGIN:VEVENT
DTSTAMP:20260428T002527Z
DTSTART;VALUE=DATE-TIME:20200722T153000
DTEND;VALUE=DATE-TIME:20200722T163000
SUMMARY:Aidan Crilly (Imperial): The Use of Synthetic Diagnostics in Unde
 rstanding HEDP Experiments
TZID:Europe/London
UID:20200722-8a1785d773045b9d01730a10eea1363d@warwick.ac.uk
CREATED:20200717T074541Z
DESCRIPTION:High Energy Density Physics (HEDP) experiments commonly exhib
 it large temporal and spatial changes in conditions and present extreme 
 environments in which to perform measurements. Interpretation of experim
 ental observations can therefore often rely on a simplified model of bot
 h the measured object\, e.g. Z-pinch\, and the measurement species\, e.g
 . X-rays. These models belie the true complexity of the system and can m
 iss additional information contained within measurements. Synthetic diag
 nostics aim to numerically describe the behaviour of the measurement spe
 cies with similar accuracy as used to model the experiment. They both pr
 ovide insight into the relationships between measured and simulated cond
 itions and highlight the important missing physics from simplified analy
 sis models. In this talk nuclear diagnostics in Inertial Confinement Fus
 ion (ICF) experiments will used as a case study for synthetic diagnostic
 s. Neutron spectroscopy and imaging are key techniques used in diagnosin
 g ICF experiments. High energy neutrons created in DT fusion reactions a
 re commonly used to infer the conditions of the fusing plasma. However\,
  the neutrons can also undergo scattering events within in the currently
  poorly measured dense cold fuel layer. By constructing detailed neutron
  transport models\, features of the scattered neutron spectrum can be mo
 delled and used to extract a wealth of information about the dense fuel 
 layer. For example\, the shape of the spectrum produced by back scatteri
 ng neutrons has been shown to depend on the fluid velocity and temperatu
 re of the dense fuel. Additionally\, these detailed neutron transport mo
 dels can be used to create data analysis techniques which more accuratel
 y describe the measured signals.
LOCATION:
CATEGORIES:CFSA Seminar
LAST-MODIFIED:20200717T074541Z
ORGANIZER;CN=Anne-Marie Broomhall:
END:VEVENT
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