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Iseult-v2

A qt-based python 3 GUI for visualizing particle-in-cell simulations. A work in progress.

Iseult Set-up An example visualization of a Tristan-MP simulation.

Written by:

Patrick Crumley, [email protected], based on Iseult-v1 and work by Jaehong Park.

OUT OF DATE NEED TO WORK ON DOCUMENTATION

UPDATES:

May 8th 2019: Ported code to python 3.7.x & Matplotlib 3.0.x There may be a few bugs here and there, but I think it is working.

The code is now it's beta phase. See the implemented column for what has already been implemented.

Dependencies:

Python packages required: Anaconda 2019/3, matplotlib 3.0 & its required dependencies, python 3.7.3, h5py. Will not work with older versions of anaconda3 and matplotlib 2.0 or older.

To use the movie saving feature: ffmpeg & xterm.

Iseult should work on Windows, MacOS & Linux.

To run Iseult on tigressdata type the following:

$ module load anaconda3/2019.3
$ cd /path/to/Iseult/
$ chmod +x ./iseult.py
$ ./iseult.py

When Iseult is started, it checks to see if Tristan-MP data is located at the current path, if it isn't Iseult prompts you to select the directory of where your Tristan-MP data is saved. To edit/change any of the plots, just right click on the subplot directly. You can also change the number of columns, the colormap, and other general settings by clicking the settings button. The measure button allows you to take measurements like T_i, T_e, measure spectra, take 1-D FFTs, etc. The matplotlib interactive toolbar is beneath the playbar, it allows you to save the figure, use your mouse to zoom around, etc.

If you get a set-up you like, you can go to file menu and choose Save Iseult State. It will give you an option to name the 'view.' To replace the default state of Iseult, name the view Default. The views are saved as .cfg files in .iseult_configs folder. You must restart Iseult to see the saved config in the preset views menu.

Enjoy!

Implemented:
Time stepping
Movie (without recording)
Basic plotting
ability to modularly change plots.
plot control panels to edit things about indv. plots
shock-finding
figure saving
Ability to take measurements
ability to save Iseult settings in a config file
zooming
Left to Implement:
gifs/movies
Longer term goals (???)

Resources:

Useful links
http://python.org
http://effbot.org/tkinterbook/
http://matplotlib.org
http://matplotlib.org/users/navigation_toolbar.html
http://h5py.org

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