A package for interative periodograms analysis.
Table of Contents
- About the Project
- Getting Started
About The Project
The Z2n Software was developed by Yohan Alexander as a research project, funded by the CNPq Institution, and it is a Open Source initiative. The program allows the user to calculate periodograms using the Z2n statistics a la Buccheri et al. 1983, which is defined as follows.
The standard Z2n statistics calculates the phase of each photon and the sinusoidal functions above for each photon. Be advised that this is very computationally expensive if the number of photons is high, since the algorithm grows at a exponential rate .
The Z2n Software was built using the
Python open source language.
The version of the
Python interpreter used during the development was the
3.7, which can be managed in virtual environments such as
Anaconda. Therefore, try to use the same or above versions for the best compatibility.
The software is currently hosted at the Python central repository
PyPI, to install the software properly use the terminal command:
pip install z2n-periodogram
To start the software just type
z2n on the terminal (check if you're under the virtual environment that it is installed).
CLI of the software is very interactive and it works by triggering the commands available, for more information on the usage type
Z2n Software, a package for interactive periodograms analysis. Copyright (C) 2020, and MIT License, by Yohan Alexander [UFS]. Type "help" for more information or "docs" for documentation. (z2n) >>> help Documented commands (type help <topic>): ======================================== docs gauss plot run save Undocumented commands: ====================== exit help quit (z2n) >>>
For more examples, please refer to the Documentation
See the open issues for a list of proposed features (and known issues).
Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are greatly appreciated.
- Fork the Project
- Create your Feature Branch (
git checkout -b feature/AmazingFeature)
- Commit your Changes (
git commit -m 'Add some AmazingFeature')
- Push to the Branch (
git push origin feature/AmazingFeature)
- Open a Pull Request
All content © 2020 Yohan Alexander. Distributed under the MIT License. See LICENSE for more information.
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