Solar Radio Burst Analysis and the 2017 Solar Eclipse

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Warner, Beverly
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University Honors College, Middle Tennessee State University
This is a study of solar bursts utilizing a record of multiple radio telescope data from differing observation sites across the country. Since identifying and comparing solar bursts manually is both cumbersome and subjective, I developed a Python program to complete this data analysis efficiently and to reduce visual bias. Utilizing this program, we are finding long-term trends in solar burst counts and intensities by running years’ worth of radio data through this program. In extension to this, data taken during the solar eclipse of 2017 is being used to study the changes of the ionospheric plasma and how electromagnetic waves propagate through it. This program will be made available to all scientists using Radio Jove for their own solar data analyzing convenience.
solar, radio, astronomy