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BEGIN:VEVENT
DTSTAMP:20260428T072655Z
DTSTART;VALUE=DATE-TIME:20170313T150000
DTEND;VALUE=DATE-TIME:20170313T160000
SUMMARY:Alex Seaton & Liz Tindale (CFSA)
TZID:Europe/London
UID:20170313-094d43f55891a16101589b5c761a20db@warwick.ac.uk
CREATED:20161125T120117Z
DESCRIPTION:Alex Seaton: 'PIC simulations of Stimulated Raman Scattering 
 in ICF' Abstract: Stimulated Raman Scattering (SRS) is one of several la
 ser-plasma instabilities that affect Inertial Confinement Fusion (ICF). 
 Of these\, it is particularly detrimental to ICF performance as it is ab
 le to both reflect a significant fraction of the laser’s energy and gene
 rate hot electrons that preheat the fuel\, reducing the level of compres
 sion that can be achieved. Recently it has been shown that\, for an indi
 rect-drive laser configuration\, regions of the laser beam with high int
 ensity known as ‘speckles’ are able to drive coherent bursts of SRS on a
  picosecond timescale with instantaneous reflectivity greater than 100%.
  Detailed 2D and 3D particle-in-cell (PIC) simulations have demonstrated
  that this occurs due to self-organised interactions between speckles. I
 n this talk I will discuss these results and progress made towards inves
 tigating whether the effect occurs in a direct-drive configuration. Liz 
 Tindale: 'Solar cycle impact on variability in fast and slow solar wind'
  Abstract: Both fast and slow solar wind exhibit variability across a wi
 de range of spatiotemporal scales\, with evolving turbulence producing f
 luctuations on sub-hour timescales and the irregular solar cycle modulat
 ing the system over many years. Minute-resolution in-situ satellite obse
 rvations spanning the last two solar cycles now support the use of stati
 stical techniques to probe variation over all these scales. In particula
 r\, we use the data quantile-quantile (DQQ) plot as a model-independent 
 method for tracing changes in the statistical distribution of solar wind
  plasma parameters over solar cycles 23 and 24. Without any assumptions 
 regarding the functional form of the distribution\, we can use this meth
 od to determine whether the underlying distribution is multi-component\,
  within which range of values the data is best described by each compone
 nt\, and whether the moments or functional form of each component change
  over time. In fast and slow solar wind\, the distribution is multi-comp
 onent: the majority of data is drawn from a lognormal distribution\, as 
 expected in a turbulent medium\; extremal values depart from this regime
 \, exhibiting unique evolutions in fast and slow wind within each solar 
 cycle. Lastly we apply the DQQ method to commonly used solar wind-magnet
 osphere coupling parameters\, and demonstrate their differing sensitivit
 ies to solar cycle variation.
LOCATION:
CATEGORIES:CFSA Seminar
LAST-MODIFIED:20170306T094406Z
ORGANIZER;CN=Anne-Marie Broomhall:
END:VEVENT
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