gwtf
Waveform generation and likelihood approximations for slowly-evolving GW sources in the time-frequency domain in O(10) microseconds.
Usage of waveform generator in an end-to-end parameter estimation provided in the notebook Parameter_estimation.ipynb
Currently being used to analyse the stellar-origin binaries in the LISA data-challenge Mojito lite.
Features:
- Support both CPU and GPU based computations of both waveforms and likelihoods.
- Supports inner-product/waveform batching over GPU threads.
- Contains search-specific implementation of semi-coherent detection statistic, designed to minimise memory use and maximise batching of sources (only valid for single mode waveforms).
- Response function that generalises to slowly varying arm-lengths.
- Response can use either analytic or supplied orbits (Mojito-orbit reading in functionality is present and functional but somewhat crude).
Waveforms Supported:
- TaylorT2Ecc (non-spinning)
- TaylorT3 (spinning)
Contributors
- Christian Chapman-Bird
- Diganta Bandopadhyay
1 maintainer
Metadata
1 maintainer
Release files for pygwtf 1.0.2
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