PyCBC-Tutorials
pycbc
PyCBC-Tutorials | pycbc | |
---|---|---|
2 | 1 | |
107 | 294 | |
0.9% | 1.4% | |
3.4 | 9.3 | |
11 months ago | 1 day ago | |
Jupyter Notebook | Python | |
- | GNU General Public License v3.0 only |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
PyCBC-Tutorials
- How can we use PSD for inverse spectrum truncation?
-
[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
pycbc
-
[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?
pythoncode-tutorials - The Python Code Tutorials
3-ogc - Third Open Gravitational-wave Catalog of Compact Binary Mergers. Using the data from LIGO and Virgo from 2015-2019, a comprehensive catalog including 57 detected mergers (55 BBH, 2 BNS) and sub-threshold candidates throughout O1, O2, and O3a.
bigpython - Source code for Big Python tutorials on YouTube
rpn - RPN command-line calculator
stingray - Anything can happen in the next half hour (including spectral timing made easy)!
PyAutoLens - PyAutoLens: Open Source Strong Gravitational Lensing
thor - Tracklet-less Heliocentric Orbit Recovery
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.