George-based models¶

A number of models implemented in Heron make use of the George Gaussian process library which implements a number of simplifications to make the inversion of the covariance matrix required for GPR predictions more tractable.

The main model produced this way is HeronHODLR, which implements a fully-spinning BBH waveform model which is trained on waveform data from the Georgia Tech waveform catalogue.

All of the george-based models are contained in the heron.models.georgebased module.

HeronHODLR: A spinning, NR-trained waveform model¶

Ther HeronHODLR model implements a surrogate model for gravitational waveforms form binary black hole events with arbitrary spin parameters between a mass ratio of 1 and 8.

class heron.models.georgebased.HeronHodlr[source]¶: Produce a BBH waveform generator using the Hodlr method.

Heron2DHodlrIMR¶

This model is a 2D prototype waveform model trained on phenomenological sample waveforms. In contrast to the full HeronHODLR model, this model models only non-spinning waveforms between mass ratios of 1 and 10.

class heron.models.georgebased.Heron2dHodlrIMR[source]¶: Produce a BBH waveform generator using the Hodlr method with IMRPhenomPv2 training data.