Hi there! My name is Adina Feinstein. Currently, I am a fourth year PhD candidate in Astronomy & Astrophysics at the University of Chicago. But, I am originally from New York, which means no matter how long I've lived in Chicago, I'll never believe deep dish pizza is pizza.
I am an observer, which means I use ground-based telescopes, like the Magellan Telescopes in Chile (right) and Gemini-North in Hawai`i, and space-based telescopes, like the Hubble Space Telescope and the Transiting Exoplanet Survey Satellite, for my work.
I received my bachelor's degree from Tufts University in Boston. My undergraduate thesis focused on identifying and characterizing lensed galaxies in the Hubble Frontier Fields images.
I love doing lots of miscellaneous things! For one, I love crafting. My main medium is string/yarn and I stick to mostely crocheting and needlework, although I've recently learned to knit too! Sometimes you'll even catch me crocheting during conferences because it helps me focus. Most of my projects are in the style of amigurumi, the Japanese art of crocheting/knitting small stuffed yarn creatures. But during the pandemic, I've attempted sweaters and bags too (like the one in the picture)!
I'm also an avid baker of everything except for sourdough (because I almost instantly killed my starter). I love baking muffins and cupcakes (they're different), and cinnamon buns. I am often inspired by recipes showcased on the Great British Bake-Off. During the pandemic, I've been able to practice two skills I've always wanted to be able to do: (1) cracking an egg with one hand and (2) making pie dough from scratch without a recipe.
I use photometric and spectroscopic observations to find and characterize energetic short-duration outburst events, called flares, on other stars.
I am interested in spectroscopic follow-up of young planets to characterize the compositions of their atmospheres.
I love writing open-source software packages for the astronomical community. Check out some projects I've lead & contributed to here.
There's never enough time in the day to do everything. Here are some half-thought-out ideas of what I'd like to explore in the future!
Testing Self-organized Criticality across the Main Sequence Using Stellar Flares from TESS. Feinstein A. D., Seligman D. Z., Gunther M. N., Adams F. C., 2022, ApJL, 925, L9.
H-alpha and Ca II Infrared Triplet Variations During a Transit of the 23 Myr Planet V1298 Tau c. Feinstein, A. D., Montet, B. T., Johnson, M. C., et al. 2021, AJ, 162, 213.
Flare Statistics for Young Stars from a Convolutional Neural Network Analysis of TESS Data. Feinstein A. D., Montet B. T., Ansdell M., et al., 2020, AJ, 160, 219.
eleanor - A pipeline to extract light curves from the TESS Full-Frame Images.
stella - Convolutional neural networks for flare identification in TESS 2-minute light curves.