Lavarini et al. [2018]. JGR: Earth Surface, submitted.

Packages that are designed to quantify zircon mixing proportion of source units in river sediments and to compare U-Pb age distributions.

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.

Prerequisites

Python 3.x.

Installing

1. Clone or download our repository into your local machine.

2. Add your path to Python interpreter:

>>> import sys
>>> sys.path.append('paste the path here')

Use import to have the packages in your Python shell.

>>> import sys zAGES, pABRASIONmodel

Running the tests

There are 9 function divided in two packages (zAGES and pABRASIONmodel). To access the functions' names, run:

>>> dir(module's name) 

To know what each function does and the file extensions needed to perform the calculations, run:

>>> help(function)

Examples

A folder ('examples') available in this repository shows how we used these functions in our research paper.

There is also a text file ('variables_in_detail') explaining the structure of files required to run the code correctly.

All these examples can be assessed through the cloned/downloaded repositories in your local machine.

Built With

• Python - Python 3.x.

Versioning

We use GitHub for versioning (https://github.com/clavarini/Lavarini_et_al_2018a).

Suggestions to improve the code can be done by pull request or contacting the corresponding author (lavarini.c@gmail.com).

Authors

• Chrystiann Lavarini - (https://github.com/clavarini)
• Carlos A. da Costa Filho - (https://github.com/cako)
• Mikael Attal

License

This project is licensed under the MIT License - see the (LICENSE.md) file for details.

Acknowledgments

CAPES Brazilian Foundation: Chrystiann Lavarini BEX 13193-13-9;

CAPES Brazilian Foundation: Carlos Alberto da Costa Filho BEX 0061-13-1.

Reference

C. Lavarini, M. Attal, C. A. da Costa Filho and L. Kirstein, 2018, Does pebble abrasion influence detrital age population statistics? A numerical investigation of natural datasets, Journal of Geophysical Research: Earth Surface, submitted.