Statistics – Computation
Scientific paper
Oct 2007
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2007dps....39.2709y&link_type=abstract
American Astronomical Society, DPS meeting #39, #27.09; Bulletin of the American Astronomical Society, Vol. 39, p.464
Statistics
Computation
Scientific paper
Outreach and educational efforts can integrate astronomy with other sciences such as mathematics, computer sciences and statistics, to encourage students with diverse backgrounds to appreciate astronomy. We initiated a pilot program involving two of our interns enrolled in different summer programs to develop quick exploratory techniques using statistical methods on large multi-variate multi-spectral planetary data sets. Our pilot program focused on several discrete features such as the oval BA and the Great Red Spot (GRS) and the North Temperate Belt (NTBs) disturbance on Jupiter. Starting in late 2005, Jupiter has been experiencing an era of atmospheric global upheaval, with various localized and axisymmetric changes occurring all over the planet. Our program involved two undergraduate students (Holt, with physics and Jezewski, applied computational methods backgrounds) and one statistics graduate student (Wong). The undergraduate students were part of a 10-week summer internship via two different educational programs at Jet Propulsion Laboratory (JPL): USRP and CURE. The aim of both programs is to immerse them in the JPL research environment, but targets different demographics of students. With co-mentors (Braverman and Wong, expertise in statistics), we developed a suite of statistical tools to apply to Jovian discrete features for correlative analyses. We find that such an integrative approach to astronomy enhances learning and interest in our students; we reach a greater audience for astronomy and develop a relatively new area of planetary statistics. The results of the students’ separate projects will be presented.
Braverman Alexander
Holt Derek
Jezweski S.
Wong Ka-Kha
Yanamandra-Fisher Padma A.
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