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BEGIN:VEVENT
DTSTAMP:20260429T040310Z
DTSTART;VALUE=DATE-TIME:20180129T150000
DTEND;VALUE=DATE-TIME:20180129T160000
SUMMARY:Tim Duckenfield & Lauren Orr (CFSA\, ÌÇÐÄTV)
TZID:Europe/London
UID:20180129-8a17841b5fbf73cc015fc09e0f374525@warwick.ac.uk
CREATED:20171115T165824Z
DESCRIPTION:Tim Duckenfield: "Detection of the second harmonic of decay-l
 ess kink oscillations in coronal loops" Abstract: Kink oscillations of s
 olar coronal loops have been intensively studied for many years\, and al
 low for the seismological estimation of the (local) magnetic field\, whi
 ch is often difficult to determine directly. Observations show there exi
 st two regimes of kink oscillation\; a large amplitude\, rapidly decayin
 g regime\, and the other involving omnipresent so-called ``decay-less os
 cillations'' of far lower amplitude that persist for far longer. A datac
 ube of a well-contrasted loop\, imaged in EUV with the SDO/AIA telescope
 \, has been processed by a motion magnification routine that enhances tr
 ansverse motions\, in order to better resolve these decay-less oscillati
 ons. Spectral analysis show two strong periods of decay-less oscillation
  are present within the loop\; one at 10.3(+1.5\,-1.7) minutes\, and ano
 ther at 7.4(+1.1\,-1.3) minutes. The spatial distribution of the periods
  through the loop\, as well as the measured period values\, are consiste
 nt with the oscillations being the fundamental and second harmonic stand
 ing kink modes. The existence of higher harmonics within the decay-less 
 regime has implications for understanding their driving and damping mech
 anisms. Further\, the ubiquity of decay-less oscillations in the solar c
 orona suggests seismological techniques based upon the ratio of periods 
 could be used on potentially all coronal loops. Lauren Orr: Dynamical Ne
 tworks Characterization of Space Weather Events Abstract: Space weather 
 can cause disturbances to satellite systems\, impacting navigation techn
 ology and telecommunications\; it can cause power loss and aviation disr
 uption. A central aspect of the earth’s magnetospheric response to space
  weather events are large scale and rapid changes in ionospheric current
  patterns. Space weather is highly dynamic and there are still many cont
 roversies about how the current system evolves in time. The recent Super
 MAG initiative is an ideal candidate for quantification using dynamical 
 networks. Network properties and parameters allow us to characterize the
  time dynamics of the full spatiotemporal pattern of the ionospheric cur
 rent system. However\, applying network methodologies to physical data p
 resents new challenges. We establish whether a given pair of magnetomete
 rs are connected in the network by calculating their canonical cross cor
 relation\, as correlated disturbances across the magnetometers capture t
 ransient currents. The magnetometers are connected if their cross correl
 ation exceeds a threshold. In our physical time series\, this threshold 
 needs to be both station specific as it varies with (non-linear) individ
 ual station sensitivity and location\, and vary with season which affect
 s ground conductivity. We present new methodology which addresses these 
 problems and in particular performs a dynamic normalization of the physi
 cal time series in order to form the network. By calculating the canonic
 al cross correlation for lags of 1-15 minutes\, and taking the maximum w
 e produce a directed network that can determine the timings and directio
 n of information propagation which corresponds to plasma dynamics.
LOCATION:
CATEGORIES:CFSA Seminar
LAST-MODIFIED:20180118T135925Z
ORGANIZER;CN=Anne-Marie Broomhall:
END:VEVENT
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