Welcome to mlgw_bns’s documentation!
The purpose of the mlgw_bns package is to speed up the generation of gravitational
waveforms for binary neutron star mergers, by training a machine
learning model on effective-one-body waveforms.
The code can be found on the github page.
Contact
Usage guides
Package reference
- Model for waveform generation
- Batched, per-mode evaluation (numpy and JAX)
- Single-mode model
- Management of a training and validation dataset
- Multibanding
- Downsampling and interpolation
- Data management
- Principal Component Analysis
- Neural Network
- Hyperparameter Optimization
- Model Validation
- Fixed Dataset Training