Metadata-Version: 2.1
Name: grond
Version: 1.6.0
Summary: A probabilistic earthquake source inversion framework. Designed and crafted in Mordor.
Home-page: https://pyrocko.org/grond/
Author: The Grond Developers
Author-email: info@pyrocko.org
License: GPLv3
Description: `Grond <https://pyrocko.org/grond/>`_ is an open source software tool for
        robust characterization of earthquake sources. Moment tensors and finite fault
        rupture models can be estimated from a combination of seismic waveforms,
        waveform attributes and geodetic observations like InSAR and GNSS. It helps you
        to investigate diverse magmatic, tectonic, and other geophysical processes at
        all scales.
        
        It delivers meaningful model uncertainties through a `Bayesian bootstrap-based
        probabilistic joint inversion scheme
        <https://pyrocko.org/grond/docs/current/method/>`_. The optimisation explores
        the full model space and maps model parameter trade-offs with a flexible design
        of objective functions.
        
        Rapid forward modelling is enabled by using pre-computed `Green’s function
        databases <https://greens-mill.pyrocko.org/>`_, handled through the `Pyrocko
        <https://pyrocko.org/docs>`_ software library. They serve synthetic near-field
        surface displacements and synthetic seismic waveforms for arbitrary earthquake
        source models and geometries.
        
        Installation with pip
        ---------------------
        
        *See also:* `Grond Manual: Installation
        <https://pyrocko.org/grond/docs/current/install>`_
        
        Grond and all its dependencies can be installed by running 
        
        .. code-block:: bash
        
           pip install grond  # read below...
        
        **but**, we recommend to make a conscious decision about how its main
        dependency `Pyrocko <https://pyrocko.org/docs>`_ and especially Pyrocko's own
        dependencies are installed. The `Pyrocko Installation Manual
        <https://pyrocko.org/docs/current/install/>`_ describes different installation
        schemes.
        
        As a general advice, we recommend to exclusively use either, (1) the system's
        native package manager, (2) Anaconda, or (3) pip only. In (1) and (2), only
        resort to use pip for those few packages which are not available as native
        packages. Otherwise, competing package managers will ruin your day!
        
        To prevent pip from automatically resolving dependencies run
        
        .. code-block:: bash
        
           pip install --no-deps grond
        
        This assumes that `Pyrocko <https://pyrocko.org/docs>`_ and `Kite
        <https://pyrocko.org/kite/>`_ have been installed beforehand.
        
        Documentation
        --------------
        
        Documentation and examples can be found in the `Grond Manual
        <https://pyrocko.org/grond/>`_.
        
        Community
        ---------
        
        Meet people from all over the world doing awesome research with Grond in our
        community chat: use the *Grond* channel in the friendly `Pyrocko Hive
        <https://hive.pyrocko.org>`_. This is the best place to talk about new features,
        special techniques or to get help on setting up your first inversion with
        Grond.
        
        Development
        -----------
        
        Grond is open source.
        
        Join us at our `Git repository <https://git.pyrocko.org/pyrocko/grond/>`_ and
        read the `Contribution guide
        <https://git.pyrocko.org/pyrocko/grond/src/branch/master/CONTRIBUTING.md>`_.
        
        -- The Grond Developers
        
Keywords: seismology, waveform analysis, earthquake modelling, geophysics, geophysical inversion
Platform: UNKNOWN
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Operating System :: POSIX
Classifier: Operating System :: MacOS
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Physics
Classifier: Topic :: Scientific/Engineering :: Visualization
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Software Development :: Libraries :: Application Frameworks
Requires-Python: >=3.5, <4
Description-Content-Type: text/x-rst
