Berlin 2024 – scientific programme

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DY: Fachverband Dynamik und Statistische Physik

DY 31: Poster: Statistical Physics

DY 31.18: Poster

Wednesday, March 20, 2024, 15:00–18:00, Poster C

Transgenerational trajectory statistics of dividing and interacting cells — •Leif Peters^{1, 2} and Philip Bittihn^{1, 2} — ¹Max Planck Institute for Dynamics and Self-Organization, Göttingen 37077, Germany — ²Institute for the Dynamics of Complex Systems, Göttingen University, Göttingen 37077, Germany

In growing dense active matter, growth and mechanical interactions give rise to non-trivial single-particle trajectories and complex collective motion. However, finite particle lifetimes in such systems pose a fundamental challenge to their characterization using traditional statistical-physics approaches. We use simulations of a minimal agent-based model to describe and quantify the movement of single cells in a growing active bath. To analyze the long-term statistics, we define observables like a transgenerational mean squared displacement. We evaluate these observables for different ensembles based on ancestral relationships between cells and distinct ways to deal with trajectory multiplicity. In systems in homeostasis with random removal and therefore turnover of cells, our results show similarities between the movement of single cells and noise driven dynamics.

Keywords: Growing dense active matter; Active bath; Agent-based model; Particle trajectories