Published February 2, 2026 | Version v1
Dataset Open

Data Analysis Results for: Solar Neutrino Probes of Light New Physics: Updated Limits from LUX-ZEPLIN Experiment

  • 1. ROR icon Karadeniz Technical University

Description

This dataset contains the numerical analysis results and source data files (in ASCII .txt format) associated with the research paper titled "Solar Neutrino Probes of Light New Physics: Updated Limits from LUX-ZEPLIN Experiment".

The data specifically covers the exclusion limits (90% C.L.) derived from the latest LUX-ZEPLIN (LZ) electron recoil (ER) datasets via elastic neutrino-electron scattering. The analysis results included in this repository pertain to:

  • Universal light mediator models: Constraints for scalar, vector, and tensor interactions consistent with Lorentz invariance.

  • Anomaly-free leptophilic U(1)′ gauge extensions: Results for models featuring new vector mediators associated with Le−Lμ, Le−Lτ, Lμ−Lτ, and Le+2Lμ+2Lτ symmetries.

Data Format: The provided files are in plain text (ASCII .txt) format. Each file represents the 90% Confidence Level (C.L.) upper limit curve for a specific model. The data is organized in columns:

  • Column 1: Mediator Mass (mϕ, mZ′, or mT) in MeV.

  • Column 2: Coupling Constant (gϕ, gZ′, or gT).

Software & Visualization: To ensure reproducibility, this repository includes an interactive Jupyter Notebook(plot_limits.ipynb) used to generate the exclusion limit plots presented in the manuscript.

  • File: plot_limits.ipynb

  • Function: Automatically reads the provided .txt data files (upper_limits_90CL_...) and generates high-quality PDF plots comparing the results from the 2022 and 2024 LZ datasets.

  • Requirements: Python 3, Jupyter Notebook (or JupyterLab), matplotlib, numpy.

  • Usage: Simply place the notebook in the same directory as the data files, open it, and run all cells.

Files

plot_limits.ipynb

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Additional details

Software

Programming language
Jupyter Notebook