Hello, I'm Adrian Crawford! (they/she)Current WorkMy current project on supernovae (SNe) involves training LSST machine learning algorithms on early time data of supernovae to better improve its accuracy. LSST is a next generation all sky survey that is predicted to find thousands of SNe each night! So it's important that it's classifying algorithms are both fast and reliable. Currently, all training for LSST on supernovae has been with late-time data (i.e. past the peak in brightness), but since it will be seeing supernovae at all times, we need a better training set that includes early-time data.
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I am currently a 3rd year Ph.D. candidate at the University of Virginia. I am working with Maryam Modjaz as part of the Modjaz Explosions and Transients Astronomy Lab (METAL). I've done work on the very small (white dwarfs), to the very largest (galaxy clusters), and now to the most energetic (supernovae). I have experience using theoretical, analytic, and computational methods in my research.
I graduated from UT Austin in May 2021 with a B.S. in Astronomy and a B.S. in Physics. I earned my M.S. in May 2023 on the way towards my Ph.D. |