Reproduction package for the paper "Two waves of massive stars running away from the young cluster R136"

Reproduction package for the paper "Two waves of massive stars running away from the young cluster R136".

• This reproduction package aims for open science, with the internal API designation of 'Gold'
• Authors: M. Stoop, A. de Koter, L. Kaper, S. Brands, S. Portegies Zwart, H. Sana, F. Stoppa, M. Gieles, L. Mahy, T. Shenar, D. Guo, G. Nelemans, S. Rieder
• Paper DOI: https://doi.org/10.1038/s41586-024-08013-8
• Zenodo DOI: http://doi.org/10.5281/zenodo.10058762
• Published in Nature (date of publication: 2024/10/09)

Hardware

• Tested on a MacBook Pro (13-inch, 2020, Four Thunderbolt 3 ports)
• Processor: 2 GHz Quad-Core Intel Core i5
• Memory: 32 GB 3733 MHz LPDDR4X
• Graphics: Intel Iris Plus Graphics 1536 MB

Required non-standard hardware

• None

Software dependencies

• Jupyterlab (4.0.8)
• Notebook (7.0.6)
• Programming languages used: Python (3.11.7)
• Python packages used: numpy (1.25.2), pandas (2.1.4), matplotlib (3.8.0), os (comes with Python) scipy (1.11.4), gaiadr3-zeropoint (0.0.4) https://gitlab.com/icc-ub/public/gaiadr3_zeropoint), astroquery (0.4.6), pymc (5.6.1), corner (2.2.2), arviz (0.16.0), pytensor (2.12.3), lmfit (1.2.2), powerlaw (1.5), rpy2 (3.5.16), seaborn (0.12.2), consistencytest (0.0.2)

Instructions

• The Anaconda conda environment is given should this be needed
• All Jupyter Notebooks are ready-made to produce the raw data, intermediate and end data products
• Gaia raw data is downloaded in the Jupyter Notebook "R136_runaway_candidates.ipynb"
• Data from the literature is given in the subdirectory /tables/ or /input_files/
• Input images and files are given in the subdirectory /input_files/
• Intermediate and end data products are given in /output_files/
• Figures in the paper are produced in the Jupyter Notebooks in the subdirectory /figures/ and stored in the subdirectory /figures/figures_paper/

Expected Output

• Jupyter Notebooks can be executed by "Run" -> "Run All Cells"
• The Jupyter Notebook show the expected output in their respective cell
• Expected runtime are given at the top of each Jupyter Notebook
• The Jupyter Notebook which takes the longest "R136_runaway_search.ipynb" takes 7-8 hours for the entire dataset
• A small dataset has been given in this Jupyter Notebook as a proof-of-concept

Instructions for use

• Jupyter Notebooks can be executed by "Run" -> "Run All Cells"

Figures

• Figures can be reproduced from the /figures/ folder.
• All material and data used are available either in the Raw Data or in the Intermediate Data
• The figures shown in the paper will be saved in ./figures/figures_paper/ folder.