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Exact Critical Coulomb Wedge - Graphical User Interface: tools to compute and display the exact solution of any parameter of Critical Coulomb Wedge

Project description

Exact Critical Coulomb Wedge - Graphical User Interface

ECCW and ECCW-GUI allow to compute the exact solution of any parameter of critical Coulomb wedge (as Dahlen 1984 and Yuan et al. 2015). They allow to draw any of these solutions in the β vs α domain (basal slope against surface slope). Are availables compressive or extensive geological context and fluid pore pressure.

ECCW and ECCW-GUI are under GNU GPL-v3 license.


Overview

General informations

  • ECCW is a python3 library;
  • ECCW-GUI is a graphical user interface, written in python3 and using Qt;
  • In the GUI, you can save a session and keep it in an xml file (.eccw);
  • A pdf documentation is available (see Usage section) including:
    • usage explainations;
    • theoretical explainations
    • guidelines of the results interpretation;
    • blueprints of the equations implemantation.

Calculator App

  • Compute the solution of the Critical Coulomb Wedge for compressive or extensive tectonic context, with or without fluids overpressure.
  • The solution can be computed with one of the four main parameters set as unknown.
  • A range of solutions can be computed at once if you set one of the known parameters as a range.

screen copy of calculator app

Plot App

  • Plot the solution of the Critical Coulomb Wedge in matplotlib windows (includes zooms, exports, and more).
  • A range of solutions can be ploted at once if you set one of the known parameters as a range.
  • You can explore graphically points on the solution curve, with optional display of a sketch representing orientations and directions of faults.
  • Refrences points can be manually added or imported from .csv files.

screen copy of plot app

screen copy of plot window of plot app


Installation

Windows

Note

Only tested on Windows 7.

  1. Install python3 verson of miniconda python environment from https://conda.io/miniconda.html
    1. run downloaded .exe;
    2. at Advanced Options step, tick checkbox named Add Anaconda to my PATH environment variable.
  2. Launch the windows Command Prompt:
    1. type conda to check that conda is correctly installed;
    2. type pip to check that pip is also correctly installed.
  3. Install ECCW with the following command in the Command Prompt:

    $ pip install eccw-gui
    
  4. ECCW is then available from the Command Prompt by taping eccw or simply from the main Windows menu under the name eccw.

Linux

Note

Only tested on Debian 9 (Gnome) and Ubuntu 16.04 (Unity).

Installation using pip

  1. Install pip and tk for Python3. On Debian family distributions, you can install these packages using the following command:

    $ sudo apt-get install python3-pip python3-tk
    
  2. Install ECCW with the following command:

    $ pip3 install eccw-gui
    
  3. ECCW is then available from a terminal by taping eccw or simply from the main menu under the name eccw.

Installation from sources

  1. Install the folowing dependancies for python3:

    tk
    pyqt5
    numpy
    matplotlib
    xmltodict

    On Debian family distributions, you can install these packages using the following command:

    $ sudo apt-get install python3-tk python3-pyqt5 python3-numpy python3-matplotlib python3-xmltodict
    
  2. Download and install eccw. Using a terminal with current working directory setted on ECCW sources folder, you can install ECCW with the following command:

    $ python3 setup.py install
    
  3. Download and install eccw-gui. Using a terminal with current working directory setted on ECCW-GUI sources folder, you can install ECCW-GUI with the following command:

    $ python3 setup.py install
    
  4. ECCW is then available from a Terminal by taping eccw

Note

You can also launch ECCW without installation (but with dependancies installed) if you add the path to the ECCW and ECCW-GUI sources folders to the environment variable $PYTHONPATH:

$ export PYTHONPATH=${PYTHONPATH}:path/to/eccw/sources/
$ export PYTHONPATH=${PYTHONPATH}:path/to/eccw_gui/sources/

These commands can be added to your .bashrc file (hidden file located at the root of your home). Once the PYTHONPATH is seted, you can launch ECCW-GUI by running the main.py file in the sources folder of ECCW-GUI.


Usage

GUI usage

Simply type eccw in a shell to launch eccw. The GUI should also be available from the main menu.

To obtain help with text based mode, type:

$ eccw -h

You can access off-line documentation with:

$ eccw -d

The documentation is also available using the button ‘Documentation’ of the GUI.

Python library usage

You can import and use the core objects for computing and plotting Critical Coulomb Wedge from python as discribed in what follows.

EccwCompute

This the core object that compute the solutions of the CCW problem.

>>> from eccw import EccwCompute
>>> foo = EccwCompute(phiB=30, phiD=10, beta=0)
>>> foo.show_params()
{ context       : 'Compression'
  beta          : 0.0
  alpha         : nan
  phiB          : 30.0
  phiD          : 10.0
  rho_f         : 0.0
  rho_sr        : 0.0
  delta_lambdaB : 0.0
  delta_lambdaD : 0.0
}
>>> foo.compute("alpha")
(3.4365319302835018, 23.946319406533199)

The result obtained with the compute method is always a tuple of two elements. First result is for inverse fault mechanism context, second result is for normal fault mechanism context.

The beta parameter gets a specificity : 0, 1 or 2 results could be obtained in both the normal of inverse context. This is the reason beta results are tuples of tuples.

>>> foo.alpha = 3.436532
>>> foo.compute("beta")
((-1.0516746372768912e-07,), (69.6779628783264,))
>>> foo.alpha = 20
>>> foo.compute("beta")
((), (-3.580929608343892, 43.25889259183777))
>>> foo.alpha = -20
>>> foo.compute("beta")
((36.74110740816224, 83.58092960834391), ())

Have a look on the plot obtained in next section to understand the previous results.

EccwPlot

This the core object that plot the solutions of the CCW problem. This object inherits from EccwCompute.

>>> from eccw import EccwPlot
>>> foo = EccwPlot(phiB=30, phiD=10)
>>> foo.add_curve(inverse={'color':(1,0,0,1), 'label':'inverse'},
                  normal={'color':(0,0,1,1), 'label':'normal'})
>>> foo.add_point(alpha=3.436532)
>>> foo.add_point(alpha=20, style='*', size=10)
>>> foo.add_point(alpha=-20, style='s')
>>> foo.add_legend()
>>> foo.show()

screen copy of matplotlib window containing ECCW plot


Contributing

Additional dependancies

Some softwares are needed to convert Qt specific files into python code:

  • pyuic5 is used to convert form .ui files into python code calling PyQt;
  • pyrcc5 is used to convert Qt ressources files .qrc into python module.

Both are found in following dependancies (ubuntu / debian):

pyqt5-dev-tools

Informations for developpers

  • Convert xml .ui files created using Qt-Designer into python files:

    $ pyuic5 -x xxx.ui -o xxx_Viewer.py
    

    Some bash scripts located in gui/*/viewers folders named make_viewers.sh automatise this process. Some custom corrections of Qt objects dimensions are also embedded in this script.

  • Convert Qt ressources .qrc files created using Qt-Designer into python files:

    $ pyrcc5 xxx.qrc -o xxx_rc.py
    

    These ressources files are a smart way to embed images into source code and solve the access path to these images problem after desktop installation.

  • All graphical object (Qt-derived) get the following methods:

    • getParams: return an OrderedDict that describe the state of the object.
    • setParams: set the object with a dict obtained from getParams.
    • getSelect: return an OrderedDict that describe the selected parameters to treat (equal to getParams if the paramters gets single state).

Project details


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