Python Code for Quantum Optical Magnetometry Calculations with Xenon

Comprising the Python code used to generate all calculations and figures for a research paper on two-photon direct optical magnetometry with xenon. It includes a calculation class implementing a physical model for signal and noise, and scripts to reproduce manuscript figures from JSON configuration files.

Use Cases

• Reproduce all figures from the manuscript by running the main script with the provided JSON configuration files.
• Modify experimental parameters defined in the JSON files to test the feasibility of the magnetometry model under new conditions.
• Study the implementation of the calculation class, which models signal generation, projection noise, photon shot noise, detector noise, and technical relative intensity noise.

Strengths

• Code is structured to regenerate all figures directly from the model without manual intervention, ensuring reproducibility.
• All experimental and hardware parameters are defined in separate JSON configuration files for clarity and ease of modification.

Limitations

• The dataset consists solely of code and configuration files; it does not contain raw experimental or observational data.
• The code has specific dependencies (NumPy, SciPy, Matplotlib) which must be installed prior to use.

Provenance

Source

Harvard Dataverse

Collection Method

Python code written to generate calculations and figures for a specific research paper.

Freshness

Last updated on 2026-02-23.