🌟 Introduction

Welcome to the Neutron TimeCube (NTC) analysis tools repository! This project is designed to provide researchers and data analysts with tools to interpret and visualize data from the NTC, a sophisticated device used in neutron detection and characterization.

📜 Description

The repository available at ultralytics/ntc houses a suite of MATLAB scripts and functions tailored for the analysis of neutron detection data. With these tools, users can process, analyze, and visualize NTC data, facilitating cutting-edge research in neutron science.

⚙️ Requirements

Before diving in, make sure you have the following prerequisites:

MATLAB version 2018a or higher.
Access to the ‘functions-matlab’ common functions repository:
```
$ git clone https://github.com/ultralytics/functions-matlab
```
Add the repository to the MATLAB path using:
```
>> addpath(genpath('/path/to/functions-matlab'))
```
The following MATLAB toolboxes should be installed:
- Statistics and Machine Learning Toolbox
- Signal Processing Toolbox

Ensure that all installations and configurations match these requirements to smoothly run the NTC analysis tools.

🏃 Running the Tools

To begin analyzing your data:

Open MATLAB
Execute the command:
```
>> NTCviewer
```

Here is a glimpse of the kind of interface you can expect with our NTCviewer:

mtcView Interface

🤝 Contribute

We welcome contributions from the community! Whether you’re fixing bugs, adding new features, or improving documentation, your input is invaluable. Take a look at our Contributing Guide to get started. Also, we’d love to hear about your experience with Ultralytics products. Please consider filling out our Survey. A huge 🙏 and thank you to all of our contributors!

©️ License

Ultralytics is excited to offer two different licensing options to meet your needs:

AGPL-3.0 License: Perfect for students and hobbyists, this OSI-approved open-source license encourages collaborative learning and knowledge sharing. Please refer to the LICENSE file for detailed terms.
Enterprise License: Ideal for commercial use, this license allows for the integration of Ultralytics software and AI models into commercial products without the open-source requirements of AGPL-3.0. For use cases that involve commercial applications, please contact us via Ultralytics Licensing.

📬 Contact Us

For bug reports, feature requests, and contributions, head to GitHub Issues. For questions and discussions about this project and other Ultralytics endeavors, join us on Discord!