The data and notebook for "Predicting the Slowing of Stellar Differential Rotation by Instability-Driven Turbulence"

The data and Jupyter notebook for "Predicting the Slowing of Stellar Differential Rotation by Instability-Driven Turbulence." Fig_6_code_implementation.ipynb This notebook presents implementation of our closure model in python to predict turbulent transport for all $(r, \mathrm{Pr})$ in Fig. 6(a). GSF_r_Pr_scan__Shear_eq_3.h5 This file contains data output from the $(r, \mathrm{Pr})$-scan of the closure model, obtained using "Fig_6_code_implementation.ipynb". The h5 data file can be simply read using the following lines of code: import h5py hf=h5py.File('~/GSF_r_Pr_scan__Shear_eq_3.h5', 'r') ux_uy = hf['ux_uy/ux_uy/ux_uy'][()] ux_th = hf['ux_th/ux_th/ux_th'][()] Pr_exp = np.linspace(0.02, 7, 28) Pr_array = 10**(-Pr_exp) #These are the values of Pr for which the transport is computed. r_exp = np.linspace(0.02, 5, 20) r_array = 10**(-r_exp) #These are the values of r for which the transport is computed. Authors: B. Tripathi Department of Physics, University of Wisconsin--Madison, Madison, Wisconsin 53706, USA ORCID : 0000-0002-4723-2170 Email : [e-mail] A.J. Barker Department of Applied Mathematics, School of Mathematics, University of Leeds, Leeds LS2 9JT, UK ORCID : 0000-0003-4397-7332 Email : [e-mail] A.E. Fraser Department of Applied Mathematics, University of Colorado, Boulder, Colorado 80309, USA Department of Astrophysical and Planetary Sciences, University of Colorado, Boulder, Colorado 80309, USA Laboratory for Atmospheric and Space Physics, University of Colorado, Boulder, Colorado 80309, USA ORCID : 0000-0003-4323-2082 P.W. Terry Department of Physics, University of Wisconsin--Madison, Madison, Wisconsin 53706, USA ORCID : 0000-0002-4981-9637 E.G. Zweibel Department of Physics, University of Wisconsin--Madison, Madison, Wisconsin 53706, USA Department of Astronomy, University of Wisconsin--Madison, Madison, Wisconsin 53706, USA ORCID : 0000-0003-4821-713X