Inference ========= For :term:`CBC` events, we calculate a number of quantities that are inferred from the signal. In preliminary alerts, these quantities are based on the candidate significance and the matched-filter estimates of the source parameters. Once parameter estimation has been completed, updated values will be provided based on samples drawn from the posterior probability distribution. Classification -------------- The classification consists of four numbers, summing to unity, that give the probability that the source is a :term:`BNS`, :term:`NSBH`, :term:`BBH` merger, or terrestrial (i.e. a background fluctuation or a glitch). This assumes that terrestrial and astrophysical events occur as independent Poisson processes. A source-dependent weighting of matched-filter templates is used to compute the mean values of expected counts associated with each of these four categories. The mean values are updated weekly based on observed matched-filter count rates. They are then used to predict the category for new triggers uploaded by :doc:`search pipelines `. Properties ---------- The source properties consist of a set of numbers, each between zero and unity, that give the probabilities that the source satisfies certain conditions. These conditions are: **HasNS**: At least one of the compact objects in the binary (that is, the less massive or *secondary* compact object) has a mass that is consistent with a neutron star. Specifically, we define this as the probability that the secondary mass satisfies :math:`m_2 \leq 3 M_{\odot}`. **HasRemnant**: The probability that the source ejected a nonzero mass outside the final remnant compact object. This is calculated using the disk mass fitting formula from `Foucart et al. 2018`_ (Equation 4). For preliminary estimates based on the matched-filter pipeline results, the source properties are calculated using a supervised learning technique; mass-dependent rates are the same as those used for the classification. For parameter estimation, updated properties are calculated from posterior samples. .. _`Foucart et al. 2018`: https://arxiv.org/abs/1807.00011