The data and notebook for "Predicting the Slowing of Stellar Differential Rotation by Instability-Driven Turbulence" (Q6718430)

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 h5pyhf=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. TripathiDepartment of Physics, University of Wisconsin--Madison, Madison, Wisconsin 53706, USAORCID : 0000-0002-4723-2170Email : btripathi@wisc.edu A.J. BarkerDepartment of Applied Mathematics, School of Mathematics, University of Leeds, Leeds LS2 9JT, UKORCID : 0000-0003-4397-7332Email : A.J.Barker@leeds.ac.uk A.E. FraserDepartment of Applied Mathematics, University of Colorado, Boulder, Colorado 80309, USADepartment of Astrophysical and Planetary Sciences, University of Colorado, Boulder, Colorado 80309, USALaboratory for Atmospheric and Space Physics, University of Colorado, Boulder, Colorado 80309, USAORCID : 0000-0003-4323-2082 P.W. TerryDepartment of Physics, University of Wisconsin--Madison, Madison, Wisconsin 53706, USAORCID : 0000-0002-4981-9637 E.G. ZweibelDepartment of Physics, University of Wisconsin--Madison, Madison, Wisconsin 53706, USADepartment of Astronomy, University of Wisconsin--Madison, Madison, Wisconsin 53706, USAORCID : 0000-0003-4821-713X