Speaker
Description
The CMC code is a well-recognized numerical tool capable of performing
detailed simulations of realistic, large globular clusters within just a
few days. It is a fully featured code that produces results comparable
to state-of-the-art direct N-body simulations.
The CMC code has been used to generate an extensive database of detailed
numerical models for a wide range of initial conditions, known as
CMC-SURVEY. Currently, CMC-SURVEY consists of over 300 models with
various initial numbers of stars (from 40k up to 2M), binary fractions,
densities, metallicities, and more. All data are freely available and
downloadable from the website https://beans.hypki.net, together with the
computational tools necessary to analyze any number of CMC models.
In my talk, I would like to present an algorithm that takes the
positions and known properties of stars from observations (e.g.,
estimates of masses) and uses an ML model to determine the dynamical
state of a GC. The algorithm relies on stellar properties that are
relatively easy to obtain from observational data and largely
independent of the telescope used (i.e., 2D positions relative to the
center of the GC and stellar masses). The algorithm gives some
predictions about the dynamical age of the GC (e.g., whether the cluster
is dynamically old or has undergone core collapse). During the talk, I
will present the algorithm and discuss its accuracy.