Classifying the generation and formation channels of dynamically-formed gravitational-wave events

<p>This dataset contains all the simulations of dynamically-formed binaries performed with the software <a href="https://github.com/Kkritos/Rapster">rapster</a>, together with trained&nbsp;machine-learning classification models from (Antonelli, Kritos&nbsp;et al, in prep.), see <a href="https://github.com/aantonelli94/TheBHClassifier">the public codes online</a>.</p> <p>All items starting with &quot;mergers_*&quot; are simulations of clusters&nbsp;and they follow&nbsp;the structure reported in the documentation of&nbsp;<a href="https://github.com/Kkritos/Rapster">rapster</a>. The simulations differ in the choice of the hyperparameters for the distribution of the cluster mass, half-mass radius and initial spin distribution for the binaries.</p> <p>All items starting from &quot;RFClassifier_*&quot; are machine-learning classification models&nbsp;that use a Random Forest Classifier and that are trained with the simulations above. The models ending with &quot;*_gen&quot; predict the generation of the black holes, those with &quot;*_form&quot; predict their&nbsp;formation channels.&nbsp;</p> <p>&nbsp;</p>