Sifting for a Stream: The Morphology of the 300S Stellar Stream

This is the data associated with the paper Sifting for a Stream: The Morphology of the 300S Stellar Stream. We include: Machine readable tables of the spline node values with medians as well as 16% and 84% quantiles for each of the three models (the Sgr model and the 300S models from Methods 1 and 2). Machine readable tables of all spline node samples. These can be used to generate the splines using a natural cubic spline interpolator. In Python, this can be achieved through the "CubicSpline" object in the "scipy.interpolate" library using bc_type = 'natural'. Machine readable tables of the present day positions and velocities of the particles from the dynamical simulation. Further documentation and examples of loading the data can be found in the associated Jupyter notebooks.