Analysis routines

In addition to the main pyro program, there are many analysis tools that we describe here. Note: some problems write a report at the end of the simulation specifying the analysis routines that can be used with their data.

  • compare.py: this takes two simulation output files as input and compares zone-by-zone for exact agreement. This is used as part of the regression testing.

    usage: ./compare.py file1 file2

  • plot.py: this takes an output file as input and plots the data using the solver’s dovis method. It deduces the solver from the attributes stored in the HDF5 file.

    usage: ./plot.py file

  • analysis/

    • convergence.py: this compares two files with different resolutions (one a factor of 2 finer than the other). It coarsens the finer data and then computes the norm of the difference. This is used to test the convergence of solvers.

    • gauss_diffusion_compare.py: this is for the diffusion solver’s Gaussian diffusion problem. It takes a sequence of output files as arguments, computes the angle-average, and the plots the resulting points over the analytic solution for comparison with the exact result.

      usage: ./gauss_diffusion_compare.py file*

    • incomp_converge_error.py: this is for the incompressible solver’s converge problem. This takes a single output file as input and compares the velocity field to the analytic solution, reporting the L2 norm of the error.

      usage: ./incomp_converge_error.py file

    • plotvar.py: this takes a single output file and a variable name and plots the data for that variable.

      usage: ./plotvar.py file variable

    • sedov_compare.py: this takes an output file from the compressible Sedov problem, computes the angle-average profile of the solution and plots it together with the analytic data (read in from cylindrical-sedov.out).

      usage: ./sedov_compare.py file

    • smooth_error.py: this takes an output file from the advection solver’s smooth problem and compares to the analytic solution, outputing the L2 norm of the error.

      usage: ./smooth_error.py file

    • sod_compare.py: this takes an output file from the compressible Sod problem and plots a slice through the domain over the analytic solution (read in from sod-exact.out).

      usage: ./sod_compare.py file