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Ntc

Neutron TimeCube (NTC) neutron detector simulation and analysis

Install / Use

/learn @ultralytics/Ntc
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

<a href="https://www.ultralytics.com/"><img src="https://raw.githubusercontent.com/ultralytics/assets/main/logo/Ultralytics_Logotype_Original.svg" width="320" alt="Ultralytics logo"></a>

🌟 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 and characterization.

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📜 Project Overview

The repository, available at ultralytics/ntc, contains a suite of MATLAB 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.

⚙️ 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:
    git clone https://github.com/ultralytics/functions-matlab
    
    Then, add the repository to your MATLAB path:
    addpath(genpath('/path/to/functions-matlab')) % Replace with the actual path
    
  • MATLAB Toolboxes: The following toolboxes must be installed:

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:
    NTCviewer
    

Below is an example of the NTCviewer interface you will interact with:

mtcView Interface

🤝 Contributing

Contributions from the GitHub community are highly encouraged! Whether it involves fixing bugs, adding new features, or enhancing documentation, your input is valuable. Please review our Contributing Guide for detailed instructions on how to participate. We also invite you to share your experiences with Ultralytics products by completing our brief Survey. A big thank you 🙏 to all our contributors!

Ultralytics open-source contributors

©️ Licensing

Ultralytics offers two licensing options to accommodate different usage scenarios:

  • AGPL-3.0 License: This OSI-approved open-source license is ideal for students and enthusiasts interested in open collaboration and knowledge sharing. See the 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.

📬 Get in Touch

For bug reports, feature suggestions, and contributions, please use the GitHub Issues section of the repository. For broader questions and discussions about this project or other Ultralytics initiatives, join the Ultralytics community or connect with us on Discord!

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View on GitHub
GitHub Stars50
CategoryDevelopment
Updated9d ago
Forks1

Languages

MATLAB

Security Score

100/100

Audited on Mar 27, 2026

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