Justin Read, Ph.D.Head of Physics, University of Surrey
Presidential Lectures are free public colloquia centered on four main themes: Biology, Physics, Mathematics and Computer Science, and Neuroscience and Autism Science. These curated, high-level scientific talks feature leading scientists and mathematicians and are intended to foster discourse and drive discovery among the broader NYC-area research community. We invite those interested in the topic to join us for this weekly lecture series.
On large scales, the standard cosmological model provides a remarkable description of the universe. On small scales inside dwarf galaxies, however, long-standing tensions exist. Simulations of the universe’s formation that model only the dark-matter fluid overpredict the number of dwarf galaxies, known as the ‘missing satellites problem.’ The simulations also predict that these dwarfs should reside inside dark matter halos with steeply rising central density ‘cusps,’ whereas observations favor constant density dark matter ‘cores.’ This discrepancy is known as the ‘cusp-core problem.’ These problems could point to dark matter being more complex than initially thought. For example, dark matter could be weakly relativistic (‘warm’ dark matter) or self-interact via a new force in the dark sector (‘self-interacting’ dark matter). A simpler solution is that numerical models that model only the dark-matter fluid are missing some important physics.
In this talk, Justin Read will show how repeated gas cooling and heating during star formation causes the gravitational potential at the centers of dwarf galaxies to continually fluctuate. This kinematically ‘heats’ the dark matter, slowly pushing it out from the centers of the dwarfs. He will present the first observational evidence for this process occurring in a sample of 18 nearby dwarf galaxies and will show how this solves both the cusp-core and missing satellites problems. He will conclude with a discussion of the broader implications of these results and how these dwarfs can now be used to place competitive constraints on alternative dark matter models.