# ntc **Repository Path**: mirrors_ultralytics/ntc ## Basic Information - **Project Name**: ntc - **Description**: Neutron TimeCube (NTC) neutron detector simulation and analysis - **Primary Language**: Unknown - **License**: AGPL-3.0 - **Default Branch**: main - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2021-10-22 - **Last Updated**: 2026-05-17 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README Ultralytics logo # 🌟 Introduction Welcome to the Neutron TimeCube (NTC) analysis tools repository! This project provides researchers and data analysts with essential tools for interpreting and visualizing data generated by the NTC, a sophisticated device used in [neutron detection](https://en.wikipedia.org/wiki/Neutron_detection) and characterization. [![Ultralytics Actions](https://github.com/ultralytics/ntc/actions/workflows/format.yml/badge.svg)](https://github.com/ultralytics/ntc/actions/workflows/format.yml) [![Ultralytics Discord](https://img.shields.io/discord/1089800235347353640?logo=discord&logoColor=white&label=Discord&color=blue)](https://discord.com/invite/ultralytics) [![Ultralytics Forums](https://img.shields.io/discourse/users?server=https%3A%2F%2Fcommunity.ultralytics.com&logo=discourse&label=Forums&color=blue)](https://community.ultralytics.com/) [![Ultralytics Reddit](https://img.shields.io/reddit/subreddit-subscribers/ultralytics?style=flat&logo=reddit&logoColor=white&label=Reddit&color=blue)](https://reddit.com/r/ultralytics) ## 📜 Project Overview The repository, available at [ultralytics/ntc](https://github.com/ultralytics/ntc), contains a suite of [MATLAB](https://www.mathworks.com/products/matlab.html) scripts and functions specifically designed for analyzing neutron detection data. These tools empower users to process, analyze, and visualize NTC data, supporting advanced research in [neutron science](https://en.wikipedia.org/wiki/Neutron_science). ## âš™ī¸ Prerequisites Before you begin, ensure you meet the following requirements: - **MATLAB:** Version 2018a or newer. - **Common Functions:** Access to the `functions-matlab` common functions repository. Clone it using: ```bash git clone https://github.com/ultralytics/functions-matlab ``` Then, add the repository to your MATLAB path: ```matlab addpath(genpath('/path/to/functions-matlab')) % Replace with the actual path ``` - **MATLAB Toolboxes:** The following toolboxes must be installed: - [Statistics and Machine Learning Toolbox](https://www.mathworks.com/products/statistics.html) - [Signal Processing Toolbox](https://www.mathworks.com/products/signal.html) Verify that all installations and path configurations are correctly set up to ensure the NTC analysis tools run smoothly. ## 🚀 Getting Started To start analyzing your NTC data: 1. Open MATLAB. 2. Navigate to the repository directory. 3. Execute the following command in the [MATLAB Command Window](https://www.mathworks.com/help/matlab/learn_matlab/command-window.html): ```matlab NTCviewer ``` Below is an example of the `NTCviewer` interface you will interact with: ![mtcView Interface](https://github.com/ultralytics/ntc/assets/26833433/32d0b7b9-4626-43c8-9ae1-85930414ea70) ## 🤝 Contributing Contributions from the [GitHub](https://github.com/) community are highly encouraged! Whether it involves fixing bugs, adding new features, or enhancing documentation, your input is valuable. Please review our [Contributing Guide](https://docs.ultralytics.com/help/contributing/) for detailed instructions on how to participate. We also invite you to share your experiences with [Ultralytics](https://www.ultralytics.com/) products by completing our brief [Survey](https://www.ultralytics.com/survey?utm_source=github&utm_medium=social&utm_campaign=Survey). A big thank you 🙏 to all our contributors! [![Ultralytics open-source contributors](https://raw.githubusercontent.com/ultralytics/assets/main/im/image-contributors.png)](https://github.com/ultralytics/ultralytics/graphs/contributors) ## ÂŠī¸ Licensing Ultralytics offers two licensing options to accommodate different usage scenarios: - **AGPL-3.0 License:** This [OSI-approved](https://opensource.org/license) open-source license is ideal for students and enthusiasts interested in open collaboration and knowledge sharing. See the [LICENSE](https://github.com/ultralytics/ntc/blob/main/LICENSE) file for specifics. - **Enterprise License:** Designed for commercial applications, this license permits the integration of Ultralytics software and AI models into commercial products and services without the open-source requirements of AGPL-3.0. If your project involves commercial use, please inquire about an [Enterprise License](https://www.ultralytics.com/license). ## đŸ“Ŧ Get in Touch For bug reports, feature suggestions, and contributions, please use the [GitHub Issues](https://github.com/ultralytics/ntc/issues) section of the repository. For broader questions and discussions about this project or other Ultralytics initiatives, join the [Ultralytics community](https://community.ultralytics.com/) or connect with us on [Discord](https://discord.com/invite/ultralytics)!
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