Title: Statistical properties of X-ray bright points|
Type of Project: Data analysis
Interest in physics of solar X-ray emission and magnetic activity. Familiarity with computer programming would be useful but not strictly required.
Mentor: Dr. Steve Saar and Samaiyah Farid
X-ray bright points (XBPs) are some of the smallest, seemingly
simplest magnetic structures on the Sun, and are present almost
everywhere, throughout the cycle. With the new Atmospheric Imaging Assembly
(AIA) instrument on the Solar Dynamics Mission, we can now study XBPs
over the entire solar disk at high cadence and spatial resolution,
with good temperature diagnostics as well.
The student will use and help further develop an
automated XBP finder which will generate a large array of useful
statistics on XBPs with about 10 min cadence. This will permit
large statistical studies to probe many aspects of these ubiquitous
features such as: how do their collective properties (e.g., number,
mean temperature, latitude distribution, magnetic environment) vary
in time? how do they evolve individually over their lifetimes?
does this change as a function of their properties? how many flare
and/or are sites of mass loss/jets?
Figure 1: Left: Full disk image of the Sun taken during solar minimum with Hinode XRT and the Al-poly
filter. Right: Same image analyzed by a (still evolving!) automated region identifier: purple = coronal holes, green = active regions, dark blue =
quiet Sun, light blue = X-ray bright points,