Research

As a PhD student at NC State University, I initiated the research direction of the evolution of massive stars, which tied in with my group’s existing expertise in core-collapse supernovae. The evolution of massive stars determines the rates of the most energetic transients in the sky, the population of compact remnants, and the chemical enrichment of our universe. Massive stars are also unique laboratories for nuclear and particle physics in extreme conditions that cannot be studied in the laboratory on Earth. However, our understanding of these stars is limited by systematic uncertainties in input physics. Fortunately, the modern era of multi-messenger and transient astronomy offers exciting opportunities for probing the stellar interior to better constrain the physics of massive stars. I am particularly interested in neutrinos as a probe of the pre-collapse stellar core and the explosion itself.

Neutrinos from a dying red supergiant, oscillating in flavor on the way to Earth ν ν ν ν Red supergiant final hours before collapse Earth neutrino detector flavor oscillations in transit

A red supergiant in the last hours of its life, and the Earth. Its burning core emits a rising flux of neutrinos that leave the star immediately and travel straight to us, changing flavor as they go. Photons cannot leave immediately: they are absorbed and reprocessed by everything above the core, so the star looks much as it always has right up until it explodes.

Publications

First author

Myers, M. A., Campbell, C. B., Patton, K. M., and Kneller, J. P.
The Effects of Mass Loss and Convective Overshooting on the Pre-Collapse Structure, Composition, and Neutrino Emission of Red Supergiants
Submitted to Physical Review D (2026)

Myers, M., Cooper, T., Warren, M., Kneller, J., McLaughlin, G., Richers, S., Grohs, E., and Fröhlich, C.
Neutrino flavor mixing with moments
Physical Review D, 105, 123036 (2022)

DOI

Contributing author

Baxter, A. L., BenZvi, S., Castaneda, J., Coleiro, A., Colomer Molla, M., Dornic, D., Griswold, S., Goldhagen, T., Graf, A., Habig, A., Hill, R., Horiuchi, S., Kneller, J. P., Lamoureux, M., Lang, R. F., Lincetto, M., Migenda, J., Myers, M., O’Connor, E., Renshaw, A., Scholberg, K., Sheshukov, A., Tseng, J., Tunnell, C., Uberoi, N., and Worlikar, A.
SNEWPY: A Data Pipeline from Supernova Simulations to Neutrino Signals
Journal of Open Source Software, 6, 3772 (2021)

DOI

The full list is on Google Scholar, ORCID, INSPIRE, and in the CV.