Position Summary

The TARDIS collaboration is actively applying and extending the Monte Carlo radiative-transfer open-science framework TARDIS (https://tardis-sn.github.io/) to model the physics of astrophysical transients. The group has a specific focus on Type Ia progenitor problems, nucleosynthesis in neutron star mergers, progenitors of stripped core-collapse supernovae, and cosmology using Type IIP supernovae.

We use data from current (ZTF, HST, JWST) and next-generation telescopes/surveys (LSST, WFIRST) to address scientific questions using machine learning and statistical methodology. Thus, the larger global TARDIS collaboration encompasses not only astrophysicists but also accomplished researchers in statistics, neural networks, and general machine learning. The group at MSU is jointly based in the Department of Physics and Astronomy as well as the new interdisciplinary Department of Computational Mathematics, Science, and Engineering.


The work of ...