This dataset compiles results from existing exotic boson searches, with a specific focus on the fifth force—particularly the spin-dependent fifth force (SDFF). It is intended as a live platform to provide researchers in the field with convenient access to relevant data.
View the Project on GitHub Lei-Cong/Spin-Dependent-5th-Force-Limits
This repository contains datasets of constraints on spin-dependent exotic interactions—also referred to as the spin-dependent fifth force (SDFF)—mediated by the exchange of a single boson of mass M between fermions X and Y. The fifth force refers to a new force beyond the existing four fundamental forces. An SDFF is a force that depends on the spins of the involved fermions, similar to the magnetic force.
We categorize interactions into the following types:
For notation and operator definitions, see the RMP review: Spin-Dependent Exotic Interactions.
The repository serves as a live webpage designed to present the latest experimental results. For contributions or to include your new results, please feel free to contact Dr. Lei Cong (congllzu@gmail.com), Dr. Wei Ji (weiji001@uni-mainz.de), or Prof. Dmitry Budker (budker@uni-mainz.de).
Please cite this repository as follows: . One can copy the BibTeX file from here: BibTeX Format.
Download the complete normalized dataset and example plotting code:
📦 Download SDFF normalized dataset
🌐 Interactive Plot Viewer (Test Version) 👉 Spin-Dependent Fifth-Force Interactive Viewer (Test)
⚠️ Note: The webpage may take up to 10 seconds to load all datasets. If no figure appear after that, please try refreshing the page.
The viewer allows users to:
Data: The data are available in the folder gpgs.
Click or scan:
We would like to express our gratitude to Fadeev Pavel, Wei Ji for initiating the idea of this webpage. We sincerely acknowledge Haosen Guan for collecting most of the data. We deeply appreciate Yevgeny Stadnik for supervising the work on astrophysical limits and combined limits. We also extend our heartfelt thanks to Prof. Dmitry Budker for his invaluable support and guidance.
Additionally, we would like to thank all contributors, including Peng-Shun Luo, and [You], who provided data for this repository, enabling its comprehensive and collaborative nature.