Thursdays at noon, June 4th through August 6th

West Hall 335

Free lunch and coffee provided before every session!

Variations in dynamical states of galaxy clusters can introduce biases and scatter in observable-mass relations and reduce detectability in cluster-finding algorithms. The dynamical state of a cluster is an emergent feature of its mass accretion history (MAH), it is therefore of interest to constrain the MAH of the cluster to account for these errors. In this talk, I will characterize 305 massive clusters from The300 project, connecting features from their projected stellar distributions to their mass accretion histories. As a baseline, I first connect host dark matter halo dynamical state indicators at z = 0 with their MAHs. I repeat this exercise with morphological measurements of projected stellar density maps. We further quantify the MAH prediction power using Multivariable Conditional Abundance Matching (MultiCAM), a novel framework for connecting galaxy/halo properties with their formation history. I conclude with example applications of my results, and future observational efforts with Rubin LSST and LoVoCCs.

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