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https://github.com/leouieda/scipy2013

Code, proceedings and slides for the talk "Modeling the Earth with Fatiando a Terra" given at the SciPy Conference 2013
https://github.com/leouieda/scipy2013

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Code, proceedings and slides for the talk "Modeling the Earth with Fatiando a Terra" given at the SciPy Conference 2013

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README 

        
**Slides**: You can view the slides for the presentation in HTML

[here](http://leouieda.github.io/scipy2013/?theme=night#/).

Just use the keyboard arrow keys to navigate.



**Video**: Watch the talk on [YouTube](http://www.youtube.com/embed/Ec38h1oB8cc)!



**Proceedings**: Download them at the

[official conference site](http://conference.scipy.org/proceedings/scipy2013/uieda.html)



**Code samples**: Code to reproduce all figures in the proceedings is available

as an IPython notebook on figshare

[doi:10.6084/m9.figshare.708390](http://dx.doi.org/10.6084/m9.figshare.708390).

A rendered version is also

[on nbviewer](http://nbviewer.ipython.org/url/files.figshare.com/1073067/code_samples.ipynb).



**Citation:**



Uieda, L., V. C. Oliveira Jr, and V. C. F. Barbosa (2013), Modeling the Earth

with Fatiando a Terra, in Proceedings of the 12th Python in Science Conference,

pp. 91-98.



# Modeling the Earth with Fatiando a Terra



**Authors**:

[Leonardo Uieda](http://fatiando.org/people/uieda),

[Vanderlei C. Oliveira Jr](http://fatiando.org/people/oliveira-jr),

[Valéria C. F. Barbosa](http://lattes.cnpq.br/0391036221142471)



Solid Earth geophysics

is the science of

using physical observations of the Earth

to infer its inner structure.

Generally, this is done

with a variety of

numerical modeling techniques

and inverse problems.

The development of new algorithms

usually involves

copy and pasting of code,

which leads to errors

and poor code reuse.

Added to this is

a modeling pipeline

composed of various tools

that don't communicate with each other

(Fortran/C for computations,

large complicated I/O files,

Matlab/VTK for visualization, etc).

Fatiando a Terra is

a Python library that

aims to unify the modeling pipeline

inside of the Python language.

This allows users to replace

the traditional shell scripting

with more versatile and powerful

Python scripting.

Together with

the new IPython notebook,

Fatiando a Terra can integrate

all stages of

the geophysical modeling process,

like data pre-processing,

inversion,

statistical analysis,

and visualization.

However,

the library can also

be used for

quickly developing stand-alone programs

that can be integrated

into existing pipelines.

Plus,

because functions

inside Fatiando a Terra use

a common data and mesh format,

existing algorithms

can be combined

and new ideas can

build upon existing functionality.

This flexibility facilitates

reproducible computations,

prototyping of new algorithms,

and interactive teaching exercises.

Although the project has

so far focused

on potential field methods

(gravity and magnetics),

some numerical tools

for other geophysical methods

have been developed as well.

The library already contains:

fast implementations

of forward modeling algorithms

(using Numpy and Cython),

generic inverse problem solvers,

unified geometry classes

(prism meshes, polygons, etc),

functions to automate

repetitive plotting tasks with

Matplotlib

(automatic griding,

simple GUIs,

picking,

projections, etc)

and Mayavi

(automatic conversion of geometry classes to VTK,

drawing continents,

etc).

In the future,

we plan to continuously implement

classic and state-of-the-art algorithms

as well as sample problems

to help teach geophysics.



## Author Bios



**Leonardo Uieda**

is a PhD student of Geophysics

at the Observatorio Nacional, Brazil,

where he develops

open-source software

for geophysical modeling and inversion.

In 2010,

he started the development

of Fatiando a Terra

as a way to test and explore

things learned in the class room and scholarly articles.



**Vanderlei C. Oliveira Jr**

obtained a PhD in Geophysics at the Observatório Nacional, Brazil,

with emphasis in potential field methods

(gravity and magnetics) and inverse problems.

He is currently developing

methods for processing and

inverting potential field data.



**Valéria C. F. Barbosa**

is a researcher at

the Observatorio Nacional, Brazil,

working mainly on

inverse problems

in potential field methods.



## Submission References



* [Project website](http://fatiando.org)

* [Documentation](http://fatiando.readthedocs.org)

* [Source code on Github](https://github.com/leouieda/fatiando)

* Slides and posters from the various talks I've given are

  [available at figshare](http://figshare.com/authors/Leonardo_Uieda/97471)