five

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

收藏
NIAID Data Ecosystem2026-05-02 收录
下载链接:
https://zenodo.org/record/10058761
下载链接
链接失效反馈
官方服务:
资源简介:
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.
创建时间:
2024-10-09
二维码
社区交流群
二维码
科研交流群
商业服务