I am a computer scientist with 3 years of working experience. I’m interested in software applications in solar physics, including machine learning. Currently, I’m working on building the data reduction pipeline for PUNCH. This will help scientists decode mysteries about the solar corona and solar wind. In my spare time, I like photography, reading, volunteering to teach programming, baking, and many more things.
Temporal coloring I downloaded a few hours of AIA data in 171 Angstroms for another project. (For the non-solar people, AIA is the Atmospheric Imaging Assembly aboard NASA’s Solar Dynamics Observatory. It takes pictures of the Sun in extreme ultraviolet.) I started playing around with it, and I ended up making the hypnotic and enchanting, at least in my opinion, video at the end of this post. It was a simple process.
Introduction I volunteer to teach programming to two high school students through a non-profit called The Coding School, specifically the CodeConnects program. One of my students is taking AP Computer Science at the same time. His teacher requires all the students to complete a final project of their choosing; they have complete freedom in picking the project except it has to be approved by the teacher. (That sounds like an awesome teacher by the way, encouraging students to learn on their own by pursuing their own passion projects.
Introduction The Solar Ultraviolet Imager (SUVI) aboard NOAA’s GOES takes pictures of the Sun in 6 ultraviolet passbands. They’re quite stunning and are used for space weather monitoring and prediction. (I was lucky enough to get to work with them in my previous job at NOAA.) To make them more useful, the imager takes long and short length exposures and then composites them together as a Level 2 composite image product.