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Abstract and presentation of Fatiando in the KEGS 2023 Symposium
https://github.com/fatiando/2023-kegs

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Abstract and presentation of Fatiando in the KEGS 2023 Symposium

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# Fatiando a Terra: Open-source tools for geophysics

[Santiago Soler](https://www.santisoler.com)1
[Lindsey J. Heagy](https://lindseyjh.ca/)1

> 1. Department of Earth, Ocean and Atmospheric Sciences, University of British
> Columbia

|Information | |
|--|---|
| When | March 4, 2023 |
| Where | [KEGS 2023 Symposium](https://www.kegsonline.org), Toronto, Canada |
| Abstract | [Read abstract](#abstract) |
| Extended abstract | [Read extended abstract](extended-abstract/README.md) |
| Presentation slides | [10.6084/m9.figshare.22151357](https://doi.org/10.6084/m9.figshare.22151357) |

## Abstract

The Fatiando a Terra project (https://www.fatiando.org) is a collection of
open-source Python libraries for geophysics that covers a wide range of
functionalities, from data download and processing to modelling and inversion.
Each one of the libraries in the project was designed with their own
scope of applications.

Harmonica is focused on processing and modelling gravity and
magnetic data. It provides tools for gravity corrections like Bouguer and
terrain effects; interpolations and upward continuation through equivalent
sources; Fourier domain filters like vertical derivatives, upward continuation
and reduction to the pole; forward modelling of geometries like prisms, point
sources and tesseroids (a.k.a spherical prisms); and more.
Boule hosts reference ellipsoids useful for applying coordinate
conversions and normal gravity calculations.
Verde offers tools for processing and interpolating any type of spatial data
through a diverse set of methods, with a machine learning inspired approach.
Pooch eases the process of downloading and caching data from the web with
a very simple interface. Lastly, Ensaio offers a set of curated open-licensed
datasets useful for teaching, practicing and probing our codes.

The project started in 2010 in South America as a simple Python library as part
of a PhD Thesis, and has since growth to include a global community of
contributors. Its progress has been facilitated by a consistent effort of
meeting the highest standards in software development. Through the adoption of
best practices and a thoughtful design of its tools, the project provides well
tested and well documented code that is easy to use, regardless of the Python
skills of its users. This has led the project to be used in real world
applications like scientific research and geophysical exploration within
industry and academia.

During this talk we'll provide an overview of the tools in the Fatiando
project, demonstrate their functionalities using examples from research and
industry applications, and take a look at some code snippets to showcase its
capabilities and ease of use.
We will also take the opportunity to discuss upcoming developments, our roadmap
for the future and plans for implementing highly requested features.

## About the speaker

Santiago Soler is an Argentinian Physicist and PhD in Geophysics.
His research is centered on the application of potential fields to geophysical
problems, and mainly focused on the development of new methodologies for
processing and modelling gravity and magnetic fields.
Examples of these are the forward modelling of tesseroids (spherical prisms)
with variable density, and the gradient-boosted equivalent sources technique,
that allows interpolating gridding and upward continuing very large datasets of
gravity and magnetic fields.
In parallel to his research, he is committed to contribute to open-source
scientific software and open science initiatives.
He is one of the core developers of the Fatiando a Terra project: a collection
of open-source Python libraries for geosciences.
Nowadays, he works as a Postdoctoral Research Fellow at the University of
British Columbia, under the supervision of Dr. Lindsey Heagy and within the
Geophysical Inversion Facility group.
His current research aims to characterize serpentinized rock deposits using
joint inversions of gravity and magnetic data in order to assess their
potential for carbon sequestration.
He continues contributing to the open-source geoscientific ecosystem by
participating in the development of Fatiando a Terra and SimPEG, a Python
framework for geophysical inversions.

## License

This work is licensed under a
[Creative Commons Attribution 4.0 International License][cc-by].

[![CC BY 4.0][cc-by-image]][cc-by]

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