Dr. Mitchell Revalski joined STScI as a postdoctoral researcher in 2019 as a member of Dr. Marc Rafelski's research group. He's currently involved with a variety of studies aimed at understanding the properties of gas in and around galaxies at redshifts of z ~1-3. Specifically, he is utilizing deep spectroscopy and imaging obtained with HST and MUSE to investigate the mass-metallicity relationship (MZR) for low-mass galaxies in the MUSE Ultra Deep Field (MUDF).
Dr. Revalski was previously an NSF graduate research fellow at Georgia State University, where he completed his dissertation focused on the properties of AGN driven outflows. He used spatially-resolved spectroscopy and imaging from Hubble, in conjunction with multi-component Cloudy photoionization models, to precisely quantify the energetic impact of narrow line region outflows in nearby active galaxies. He has expanded this work while at STScI through his HST Cycle 28 imaging program, in order to study a larger sample spanning a broader range of AGN properties. This project has provided key insights into the best-practices for determining accurate ionized gas densities, masses, and outflow energetics when using spatially-resolved spectroscopy.
In addition to research, Dr. Revalski is a co-organizer of weekly science coffee's at STScI, which provide staff and visitors an opportunity to share recent research results in an informal setting, with an emphasis on discussion. Dr. Revalski is passionate about participating in outreach events that encourage students to pursue STEM-based careers, and connect them with the resources that they need to succeed.
PhD in Astronomy, Georgia State University
MS in Physics, Georgia State University
BS in Physics, The College of New Jersey
- Mass Outflows
- Feeding and Feedback
- Narrow Line Regions
- Photoionization Modeling
Research Topics: Supermassive Black Holes, High-Redshift Galaxies, Galaxy Formation and Evolution, AGN and Quasars, Interstellar Medium, Other Mass Outflows, Feeding and Feedback, Narrow Line Regions, Photoionization Modeling
ORCID ID: 0000-0002-4917-7873