Title:Winding up Solar Flares|
Type of Project: Data analysis, statistics
Interest in analyzing observations for a large sample of events. Some programming experience would be useful but is not strictly necessary. The work will be conducted primarily using IDL.
Mentor:Dr. Vinay Kashyap
The processes by which solar flares store and release massive amounts of
energy (up to 1033 ergs!) are not well understood. The
Atmospheric Imaging Array (AIA) on the Solar Dynamics Observatory
(SDO) satellite provides a unique opportunity to study a very large
number of flares in great detail.
Over the duration of previous flare surveys, results may have been
skewed because flaring regions did have enough time to store
energy, or "wind up." The longer one waits, the more time an active region has
to store enough energy that can be released in a flare. This
project will use a new tool called the Flare Detective, which
automatically detects and classifies flares in AIA data. Using the
automatically detected flares, correlations will be determined
relating the duration of the flare to the flare's intensity for a
wide range of active regions. A large data set will be compiled
that greatly improves previous determinations of flare
distributions and power-law indices.