Intro
Education: Ph.D.: University of Washington (2021), B.A.: Wesleyan University (2015)
Research Interests: Massive stars, stellar populations, time domain studies
Publications: ADS Author Query
About Me: I am a Carnegie Postdoctoral Fellow at the Carnegie Observatories.
Previously, I received my Ph.D. in August, 2021 at the University of Washington.
I am broadly interested in stars, and use a multitude of methods — from
stellar population synthesis to machine learning — applied to novel datasets
to study massive stars at the ends of their lives. On this site, you can learn
more about my research, or see what I do
outside of astronomy. If you'd like to reach
out with a question, or want me to give a talk at your institution,
please see my contact info.
Research
Massive stars represent the extremes of stellar evolution, and are
the sites of key physical processes that shape the Universe. Their
short lifetimes and intrinsic rarity make them a unique challenge to
study. I use a mix of focused single-object studies, cutting-edge
stellar population modelling, and techniques borrowed from Big Data
to better understand these stellar behemoths.
I am currently working on a number of projects using data from the Gaia
mission to characterize large samples of evolved massive stars.
From Dorn-Wallenstein et al. (2023, in press): Hertzprung-Russel Diagram,
visualizing the distribution of thousands of cool supergiants whose
properties are derived using machine learning. Through the use of
kernel density estimation, we are able to identify "overdensities"
in this space, which can be used to test stellar evolution
Contact
If you have any questions about my work, feel free to reach out.
I am also available to speak at your institution, and am always happy
to give public outreach talks.
Email:
tdorn-wallenstein@carnegiescience.edu
Address:
813 Santa Barbara Street
Pasadena, CA 91101
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