This is the new implementation of HDF5 support for
MESA based on the former SE format.
It is used by the NuGrid collaboration
and provides mppnp compatibility.
You must have successfully installed a release of MESA.
Latest version of the MESA code on which this implementation has been tested: 10398.
Once MESA has been installed:
- copy the
run_star_extras.fandmesa_hdf5_*.incfiles located in thesrcfolder into thesrcfolder in your work directory. - copy the
hdf5_profile_columns.listfile located in thetestfolder into the MESA working directory and update theprofile_columns.listMESA file. - clean, compile, and enjoy!
The user must specify which MESA profiles should be included in the HDF5. This is done in the file hdf5_profile_columns.list (default name) similar to the profile_columns.list MESA file.
Note that the profiles in the HDF5 file MUST be a subset of the profiles written out in the MESA ASCII files. So whatever contains hdf5_profile_columns.list should also be either in profile_columns.list or is calculated in the extra routines.
For example, when the default hdf5_profile_columns.list is used the profile_columns.list needs to include dm, radius, rmid, temperature, log_D_mix, mass and rho. The other profiles (delta_mass and dcoeff) are calculated by the subroutines provided in this package.
Also the MESA profile_columns.list MUST contain time_step if the HDF5 output will be used for post-processing.
The mesa_hdf5_params.inc file contains the different setup parameters of the HDF5 outputs. You can modify them as you wish, but remember to clean and recompile for your changes to be applied. For example, for productions runs you will most likely set
integer, parameter :: hdf5_num_mod_output
to a value of 100 or more depending on how long you will expect your run to be. Typically you would have 20-30 files per run. Putting 1000 cycles or time steps into one file is a practical number for longer runs.
If you would like to run an example, you can use the inlist and columns files located in the test folder. An IPython notebook is also provided as an example for the
analysis of the HDF5 data created by this framework.
You can use the nugridpy.nugridse module to work with the mesa_h5 hdf5 output files. Here are some notes:
- if the simulation has been stopped the last file may be corrupted and you may get some error when trying to extract or access data in that file. Just delete that last corrputed file.
- it is advisable to include
photo_interval = 100in your inlist controls and add use insrc/mesa_hdf5_params.incthe same value forinteger, parameter :: hdf5_num_mod_output = 100
Copyright (c) 2014 - 2018, Jean-Claude Passy, NuGrid Collaboration. All rights reserved.
BSD-3-Clause "New" or "Revised" License (see LICENSE.md)