PyFstat / PyFstat
a python package for gravitational wave analysis with the F-statistic
☆49Updated this week
Alternatives and similar repositories for PyFstat
Users that are interested in PyFstat are comparing it to the libraries listed below
Sorting:
- Analysis code for the research paper "Convolutional neural networks: a magic bullet for gravitational-wave detection?"☆35Updated 9 months ago
- Gravitational wave detection in real noise timeseries using deep residual neural networks☆28Updated 2 months ago
- Code and documentation for the first machine learning focused mock data challenge hosted by the Albert-Einstein-Institut Hannover and the…☆40Updated 2 years ago
- Likelihood-Free Inference for Gravitational Waves☆38Updated 3 years ago
- Hyper-fast gravitational wave posterior parameter estimation using variational inference. Code used for "Bayesian parameter estimation" p…☆23Updated 2 years ago
- nessai: Nested Sampling with Artificial Intelligence☆40Updated 2 weeks ago
- A code for simulating gravitational waves and evaluating their detectability.☆25Updated 10 months ago
- Gravitational-wave data analysis tools in Jax☆68Updated this week
- Deep neural networks for gravitational-wave posterior estimation☆14Updated 5 years ago
- A Fisher information matrix python package for GW detector networks.☆43Updated 3 months ago
- An easy to use interface to gravitational wave surrogate models☆28Updated last month
- PyAutoFit: Classy Probabilistic Programming☆64Updated last week
- Material for the "ML for the Sciences" meeting at Princeton University☆55Updated 5 years ago
- Research tools for intermingling gravitational-wave data analysis with numerical relativity☆9Updated 2 months ago
- Data Release for the Machine Learning based Search for Binary Neutron Star Mergers☆11Updated 4 years ago
- ☆21Updated 5 years ago
- Neural network model for gravitational wave sky localization☆10Updated last year
- A survey on gravitational waves researches using machine learning techniques.☆7Updated last month
- Learn how to use PyCBC to analyze gravitational-wave data and do parameter inference.☆125Updated 9 months ago
- Differentiable Gravitational Waveforms with JAX☆57Updated 8 months ago
- Analysis and tutorial materials associated with the NANOGrav Collaboration's search for an isotropic stochastic gravitational-wave backgr…☆32Updated last year
- A neural network emulator to transform field data☆42Updated 2 years ago
- Differentiable cosmological emulators: the JAX version of CosmoPower☆37Updated 4 months ago
- Probing the nature of dark matter by inferring the dark matter particle mass with machine learning and stellar streams.☆18Updated 2 years ago
- A short introduction to working with gravitational wave data.☆33Updated last year
- Use PyCBC / LALSuite to generate synthetic gravitational-wave data (e.g., for machine learning endeavors).☆47Updated last year
- Software written to analyze the output of the CAMEL simulations.☆41Updated 2 weeks ago
- Combines Bayesian analyses from many datasets.☆22Updated last year
- A JAX package for weak gravitational lensing☆32Updated last year
- ☆11Updated 2 months ago