https://github.com/weijias-opensource/acc

Auto-Correlogram Calculation in seismology
https://github.com/weijias-opensource/acc

processing seismic-imaging seismology

Last synced: 5 months ago
JSON representation

Auto-Correlogram Calculation in seismology

• Host: GitHub
• URL: https://github.com/weijias-opensource/acc
• Owner: weijias-opensource
• License: mit
• Created: 2020-02-11T03:00:03.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2020-04-13T09:01:17.000Z (about 6 years ago)
• Last Synced: 2025-09-21T23:28:56.717Z (9 months ago)
• Topics: processing, seismic-imaging, seismology
• Language: Python
• Size: 3.67 MB
• Stars: 11
• Watchers: 1
• Forks: 8
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGELOG
  • License: LICENSE

Awesome Lists containing this project

README

          
[![DOI](https://zenodo.org/badge/doi/10.5281/zenodo.3674643.svg)](http://dx.doi.org/10.5281/zenodo.3674643)

[![PyPI version](https://badge.fury.io/py/seis-acc.svg)](https://badge.fury.io/py/seis-acc)

[![GitHub license](https://img.shields.io/github/license/weijias-opensource/acc)](https://github.com/weijias-opensource/acc/blob/master/LICENSE)

[![GitHub issues](https://img.shields.io/github/issues/weijias-opensource/acc)](https://github.com/weijias-opensource/acc/issues)

![PyPI - Python Version](https://img.shields.io/pypi/pyversions/seis-acc)

![PyPI - Downloads](https://img.shields.io/pypi/dm/seis-acc)

# ACC: Auto-Correlogram Calculation in seismology

Extracting P-wave reflections between the free surface and the lithospheric discontinuities to image the subsurface structures.

## Requirements

* Python 3 

* python packages including: 'click', 'commentjson', 'geographiclib', 'matplotlib>=2', 'numpy', 'obspy>=1.0.3', 'pandas', 'setuptools', 'shapely', 'scipy>=0.19.0', 'tqdm'

## Installation

Here I offer two conventional ways to install the package. The first is downloading the code via git clone command.

```

>>> git clone https://github.com/weijias-opensource/acc.git

```

and enter the main directory of the package where the `setup.py` file is, then execute

```

>>> python setup.py install

```

. The second is just simply to execute the command of 

```

>>> pip install seis-acc

```

I strongly suggest you install [Anaconda3](https://docs.anaconda.com/anaconda/install/) first, since 

>Anaconda Distribution is a free, easy-to-install package manager, environment manager, and Python distribution with a collection of 1,500+ open source packages with free community support. Anaconda is platform-agnostic, so you can use it whether you are on Windows, macOS, or Linux.

This allow you to install the acc package using the second way above easily.

## Tutorials

Please go the the example directory and run 

```

>>> sh run.sh

``` 

for a simple example of the Warramungga array data. 

More information can be found at https://acc.readthedocs.io/en/latest/index.html.

## Deployment

The package could be run on all operating systems, including Windows, Mac and Linux. But the package is well-tested on Ubuntu Linux (19.10) with Anaconda3 at now.

## Authors

* **Weijia Sun**

If you have any suggestions to help improve the package, please let me know and I will try to carry them out as soon.

## Contributors

* **B. L. N. Kennett**

* **Huaiyu Yuan**

## Acknowledgments

The author learned to write a flexible, practical and modern software for friendly usage from other packages. More, a small part of code in this package is also reproduced from other projects.

* [rf](https://github.com/trichter/rf)

* [seispy](https://github.com/xumi1993/seispy)

* [obspy](https://github.com/obspy/obspy)