PyCBC-Tutorials
3-ogc
| PyCBC-Tutorials | 3-ogc | |
|---|---|---|
| 2 | 1 | |
| 107 | 8 | |
| 0.9% | - | |
| 3.4 | 1.8 | |
| 11 months ago | over 2 years ago | |
| Jupyter Notebook | Python | |
| - | - |
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PyCBC-Tutorials
- How can we use PSD for inverse spectrum truncation?
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[GWpy] How do you know what time an event is occurring from a frequency plot?
If you want to get a sense for a signal is actually detected and at what time it occurs, I'd suggest taking a look at PyCBC and the tutorials there. https://github.com/gwastro/PyCBC-Tutorials In particular the following you may find useful, but you may find the others helpful as well. https://colab.research.google.com/github/gwastro/pycbc-tutorials/blob/master/tutorial/3\_WaveformMatchedFilter.ipynb
3-ogc
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[OC] All the observed gravitational waves from black hole and neutron star mergers
Original source: https://github.com/gwastro/3-ogc Codes used: PyCBC (a python toolkit for GW analysis) https://github.com/gwastro/pycbc + matplotlib
What are some alternatives?
pycbc - Core package to analyze gravitational-wave data, find signals, and study their parameters. This package was used in the first direct detection of gravitational waves (GW150914), and is used in the ongoing analysis of LIGO/Virgo data.
pythoncode-tutorials - The Python Code Tutorials
Virgo - 📡 Virgo: A Versatile Spectrometer for Radio Astronomy
bigpython - Source code for Big Python tutorials on YouTube
smart-contracts - A library of smart contracts
stingray - Anything can happen in the next half hour (including spectral timing made easy)!
uawardata - The data behind uawardata.com
indaba-pracs-2022 - Notebooks for the Practicals at the Deep Learning Indaba 2022.
interactive_tutorials - Repository for all ArangoDB interactive tutorial notebooks.
Graph_Signal_Processing - Signal processing on graphs using torch_geometric.