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C. Mihos (CWRU)
Computational modeling of galaxy interactions has lead to a greater understanding of the dynamical processes involved in triggering activity in galaxies and in driving evolution in field and cluster galaxy populations. Comparisons between these models and the observations of interacting galaxies often reveal important information about the dynamical conditions inside interacting galaxies. In this talk, I will discuss recent studies which connect computational models to the observational record, including interesting lessons learned from discrepancies between theory and observation.
This work is sponsored in part by NSF Career Grant AST-9876143.