Sparse identification of variable star dynamics
UdeM/University of Padua
Variable stars play a crucial role as standard candles and provide valuable insights into stellar physics. A full description of these stars typically requires expensive hydro-simulations of stellar interiors. I instead applied a data-driven technique - Sparse Identification of Dynamical Systems (SINDY; Brunton 2016) - to automatically model observed light curves from the Catalina Sky Survey as a low-dimension differential dynamical system. RRc and Delta Scuti variables are found to be well modeled by a simple non-linear oscillator, which can be solved analytically. I elaborate on the limits and the implications of this approach as a complementary way to model variables.
Date: Jeudi, le 24 février 2022 Heure: 11:30 Lieu: Université de Montréal Zoom