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zenodoopen

Dataset associated to the publication NATASTRON-22125961A arXiv:2212.10924

<p># Dataset description</p> <p>1. Single stellar model grids at Zsun</p> <p>All single stellar model grids are labeled as &quot;single_star_grid_Zsun_*.h5&quot;.<br> To access the dataset you should use the POSYDON v1 code and refer to the<br> code documentation, see https://github.com/POSYDON-code/POSYDON/releases/tag/v1.0.0.<br> The data can be accessed, e.g., with POSYDON as</p> <p>```py<br> from posydon.grids.psygrid import PSyGrid<br> grid = PSyGrid()<br> grid.load(path_to_grid)<br> print(grid.initial_values)<br> print(grid.final_values)<br> print(grid[0].history1[&#39;log_L&#39;])<br> print(grid[0].history1[&#39;log_Teff&#39;])<br> ```</p> <p>2. Binary black hole population at Zsun</p> <p>We provide the binary black hole population in the file labeled<br> &quot;BBH_population_Zsun.h5&quot;. This file contains all binary systems forming<br> binary black holes as simulated from a population synthesis model of 50 million<br> binaries generated with POSYDON v1 at solar metallicity. The data can be<br> accessed, e.g., with Pandas as</p> <p>```py<br> import pandas as pd<br> df = pd.read_hdf(&#39;./data_release/source_data/BBH_population_Zsun.h5&#39;,<br> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;key=&#39;history&#39;)<br> df.head(10)<br> ```</p> <p>For convenience we also provide a dataset labeled &quot;arXiv_2212.10924.csv.gz&quot;<br> that contains the subset of merging binary black holes obtained from<br> &quot;BBH_population_Zsun.h5&quot; at the time of double compact object formation used to<br> generate the Figure 4 of the main manuscript and compute the binary black hole<br> rates using the software released on https://github.com/ssbvr/BBH_merging_rates.<br> The data can be accessed, e.g., with Pandas as</p> <p>```py<br> import pandas as pd<br> df = pd.read_csv(&#39;./data_release/source_data/arXiv_2212.10924.csv.gz&#39;,<br> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;compression=&#39;gzip&#39;)<br> df.head(10)<br> ```</p> <p>Please refer to the following notebook on how use the data to compute the<br> detectable and intrinsic merging population as well as rates, see<br> https://github.com/ssbvr/BBH_merging_rates/blob/main/arXiv_221210924_POSYDON_BBH_Zsun.ipynb</p>

ShareScore

36/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
16
Reuse readiness
8
Engagement
4