GWTC-5.0: Population Properties of Merging Compact Binaries

GWTC-5.0: Population Properties of Merging Compact Binaries Welcome to the data release associated with GWTC-5.0: Population Properties of Merging Compact Binaries. This is a large data release; if you run into problems please alert us. Description of files in this data release popsummary_files.tar.gz: Contains popsummary format files for all analyses that are part of the paper scripts.tar.gz: Contains all .ipynb notebooks needed to produce figures in the paper. figures.tar.gz: Contains .pdf files of all figures in the paper. Event_list.tar.gz: Contains list of events used in the paper. GWTC-4.0-aux.tar.gz: Contains 3 result files from the GWTC-4.0 data release. They are provided here for convenience (they belong to very large archive files in the GWTC-4.0 Zenodo). You can download a short tutorial that shows how to deal with popsummary files from here Setup instructions Creating a conda environment Use the following commands to set up a conda environment called o4b-astro and install required packages: conda create --name o4b-astro python=3.11 -y conda activate o4b-astro pip install numpy==2.3.2 scipy==1.16.1 matplotlib==3.10.5 bilby==2.6.0 popsummary==0.1.0 zenodo-get==2.0.0 jupyter Setup directory structure Run the following on the bash terminal mkdir o4b-astro && cd o4b-astro zenodo_get 20292639 # downloads all 5 tar.gz files tar xzf scripts.tar.gz # -> uncompress in ./figure_scripts/ tar xzf figures.tar.gz # -> uncompress in ./paper_figures/ tar xzf popsummary_files.tar.gz # -> uncompress in ./popsummary_files/ tar xzf GWTC-4.0-aux.tar.gz # -> uncompress in ./o4a_dr/ tar xzf Event_list.tar.gz # -> uncompress in ./Event_list/ If you want to get only one of the archives, for example the figures, run zenodo_get 20292639 -g figures.tar.gz tar xzf figures.tar.gz # -> uncompress in ./paper_figures/ Make the figures from the scripts You can open the jupyter notebooks and execute the cells there. The name of each notebook makes it clear which figure(s) it will produce. You can also run the notebook from command line. E.g., jupyter nbconvert --to notebook --execute make_fig_1.ipynb which will save the figure in a newly created folder called "figures"