Welcome to the AntiNeutrino Global Map (AGM) 2015 production code repository. This project is an innovative endeavor to visualize and analyze antineutrino emissions across the globe, which has implications in geoscience and particle physics. The map produced by this project provides a unique view of antineutrino emissions, capturing data from both natural and artificial sources.

This repository hosts the production code for AGM2015, an impactful scientific study that contributes to our understanding of antineutrino emissions and their distribution around the Earth. The research behind AGM2015 is documented in the paper titled "AGM2015: Antineutrino Global Map 2015," published in Scientific Reports:

• Paper: S.M. Usman, G.R. Jocher, S.T. Dye, W.F. McDonough, and J.G. Learned - Read the paper

To dive deeper into the context and findings of this study, you may also check out the National Geospatial-Intelligence Agency (NGA) Press Release:

• NGA Press Release: Antineutrino Global Map Press Release

Below is a visual representation of AGM2015, illustrating the global distribution of antineutrinos:

To execute the code in this repository, you will need MATLAB version 2018a or newer. Additionally, make sure to clone and include the following repositories:

$ git clone https://github.com/ultralytics/functions-matlab
$ git clone https://github.com/ultralytics/nudar

After cloning, add them to your MATLAB path like this:

>> addpath(genpath('/your_path_to/functions-matlab'));
>> addpath(genpath('/your_path_to/nudar'));

Please ensure you have the following MATLAB toolboxes installed:

• Statistics and Machine Learning Toolbox
• Signal Processing Toolbox
• Mapping Toolbox

To run the AGM2015 production code, follow these simple steps in MATLAB:

>> fcnrunAGM

This command will initiate the process to recreate the AGM2015 output.

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!

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.

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!