A package for extracting quasinormal modes from time domain data
Project description
A python package for extracting quasinormal modes from black-hole ringdown simulations.
Key Features • Installation • Usage • Paper Results • Coming Soon • License •
Key Features
- Fit a ringdown waveform with quasinormal modes (QNMs) of fixed or free frequencies
- Nonlinear least-squares fitting with automatic differentiation via JaxFit
- Agnostic identification of QNMs within the waveform
- Saving and reusing results with pickle
- Easy visualization of results
- Call hyperfit models of QNM amplitudes in the ringdown of binary black hole (BBH) mergers
Installation
pip install jaxqualin
Usage
Basic usage of the package are showcased under the Examples tab on the package homepage.
Note We did not extensively test and do not recommend running
jaxqualin
on a GPU
Paper Results
Interactive plots of the methods paper can be found under the Results tab on the package homepage.
Coming Soon
- Full API
- Support for real (Schwarzshild) ringdown waveforms
- Fitting for the mass and spin of the remnant
- Fitting the (noiseless) detector response
License
MIT
GitHub @mhycheung
Project details
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