Constraining Population Synthesis Models via Empirical Binary Compact Object Merger and Supernova Rates

摘要: The observed samples of supernovae (SNe) and double compact objects (DCOs) provide several critical constraints on population synthesis models. parameters these models must be carefully chosen to reproduce, among other factors, (1) the formation rates neutron star (NS-NS) binaries white dwarf-neutron (WD-NS) binaries, estimated from binary samples, (2) Type II Ib/c SN rates. Even allowing for extremely conservative accounting uncertainties in observational theoretical predictions, we find that only a few plausible (roughly 9%) are consistent with DCO empirically determined observations. As proof concept, describe information can extracted about given tests, including surprisingly good agreement kick distributions inferred pulsar proper-motion measurements. In present study, current favor kicks described by single Maxwellian characteristic velocity 350 km s−1 (i.e., at maximum likelihood; velocities between 100 700 remain within 90% confidence interval unimodal distributions), mass-loss fractions during nonconservative but stable mass transfer episodes 90%, common envelope 0.15-0.5. Finally, use subset astrophysically predict which black hole-neutron (BH-NS) NS-NS merge Milky Way nearby universe, assuming Way-like galaxies dominate. Inevitably, resulting probability merger depend our assumed priors model input parameters. this study adopt relatively (flat) all covering rather wide range values. However, as gain knowledge inputs, should shift narrow.