Tracing the evolution of short-period binaries with super-synchronous fast-rotators

<p>Dataset for the triple scenario (see Sec. 5 in Britavskiy et al.)<br><br>*_triple.txt contain zero age main sequence triple configurations compatible with the "triple merger scenario" described in the paper.<br>*.npy are binary version of the corresponding txt for faster loading.&nbsp;<br><br>The txt files where generated with <a href="https://zenodo.org/api/records/10028333/draft/files/ML_stability.py/content">ML_stability.py.</a>&nbsp;<br><a href="https://zenodo.org/api/records/10028333/draft/files/plot_P_unstable.py/content">plot_P_unstable.py</a> generates fig. 10 and <a href="https://zenodo.org/api/records/10028333/draft/files/plot_min_a_in.py/content">lot_min_a_in.py</a> fig. 9, the other python files are libraries of functions called by these.<br><a href="https://zenodo.org/api/records/10028333/draft/files/mlp_model_trip_ghost.pkl/content">mlp_model_trip_ghost.pkl</a> is the dynamical stability classifier from <a href="https://ui.adsabs.harvard.edu/abs/2023MNRAS.525.2388V/abstract">Vynatheya et al. 2023</a> (ghost orbit method), used by <a href="https://zenodo.org/api/records/10028333/draft/files/classify_trip.py/content">classify_trip.py</a> to determine the probability of dynamical stability of a given system.</p>