Gravitational-wave parameter estimation to the Moon and back: Massive binaries and the case of GW231123

This folder contains the notebooks and datasets used for the publication-level plots of arXiv:2512.09978 [gr-qc]. Main Notebook Make_all_plots.ipynb Produces the main publication figures. cumulative detections vs SNR redshift distribution of detections intrinsic and extrinsic corner plots for a GW231123-like injection Input Files catalogs_parameters_snrs.hdf5: simulated catalogs and SNRs for the various detector configurations. We publish 100 of the 1000 simulated catalogs, ensuring we include the most extreme cases. GWTC3_conf.csv: GWTC-3 event properties used for comparison (generated from GWOSC). GWTC4_conf.csv: GWTC-4 event properties used for comparison (generated from GWOSC). GW231123_all_samps.h5: posterior samples for the GW231123-like event for different detectors. Requirements Python 3.9+ is recommended. Required packages: numpy matplotlib scipy scikit-image h5py pandas corner jupyter Install with: pip install numpy matplotlib scipy scikit-image h5py pandas corner jupyter Note: The notebooks use LaTeX text rendering [rc('text', usetex=True)]. A working LaTeX installation is required for figure rendering with TeX labels. Reproducibility Notes Run notebooks from this directory so relative file paths resolve correctly. In Make_all_plots.ipynb, BASEDIR = '' assumes input files are in the current working directory. Adjust as needed. Keep STOREPLOTS = True to save publication figures. Quick Start Open this folder in VS Code/Jupyter. Start a Python kernel with the required packages. Run all cells in Make_all_plots.ipynb. Citation If making use of this data, please make sure to cite the associated publication @article{Iacovelli:2025kwn, author = "Iacovelli, Francesco and Tissino, Jacopo and Harms, Jan and Berti, Emanuele", title = "{Gravitational-wave parameter estimation to the Moon and back: massive binaries and the case of GW231123}", eprint = "2512.09978", archivePrefix = "arXiv", primaryClass = "gr-qc", month = "12", year = "2025" }