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Weighted-KDE occurrence maps and Neptunian-desert boundaries

This repository contains the notebook and processed data used to display weighted kernel-density-estimation (wKDE) occurrence maps and fitted Neptunian-desert boundaries for planets around F-, G-, K-, and combined FGK-type host stars.

Results

Desert boundaries by spectral type

The dashed curves show the median fitted upper and lower boundaries. Shaded regions mark the corresponding 16th–84th percentile intervals.

Combined FGK occurrence map with F, G, K, and FGK desert boundaries

Weighted occurrence maps

The colour scale gives the planet occurrence density per 100 stars in period–radius space. Black lines are occurrence-density contours, while the red dashed curves and bands show the median desert boundaries and their 16th–84th percentile intervals.

The quantified occurrence-rate results are available through our interactive online tool. For the FGK, F-, G-, and K-star samples, it reports the occurrence rate in each period–radius cell and calculates the total occurrence, including its uncertainty, within any selected region.

Weighted-KDE occurrence map for F-type stars Weighted-KDE occurrence map for G-type stars

Weighted-KDE occurrence map for K-type stars Weighted-KDE occurrence map for the combined FGK sample

Reproduce the figures

No installation of this repository is needed. Download or clone it, keep wKDE-boundaries.ipynb and wkde_boundary_release.npz in the same directory, and open the notebook in a Jupyter environment. The notebook uses only NumPy and Matplotlib. Select Run > Run All Cells to regenerate every figure shown above.

The saved notebook outputs can also be viewed directly on GitHub without running any code. The notebook documents the arrays contained in the data archive and how they are used.

This release reproduces the figures from the supplied processed wKDE grids and fitted-boundary summaries. The upstream catalogue analysis and construction of these arrays will be described in the accompanying paper.

Paper

The scientific analysis and interpretation of these results are presented in our accompanying paper:


If you use these results, please cite the paper once it is available and refer to the specific release of this repository used in your work.

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