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interfacing the CW routines with [emcee](http://dan.iel.fm/emcee/current/) a
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python MCMC sampler.
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## Glitch-robust search
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## Examples
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The primary use case of this software is the *semi-coherent glitch-robust*
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search. You may find a help page explaining how to use this [here](docs/glitch-robust-search).
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### Glitch-robust search
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One of the primary use case of this software is the *semi-coherent
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glitch-robust* search. You may find a help page explaining how to use this
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[here](docs/glitch-robust-search).
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## Examples
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### Transient search
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The other immediate use case is for transient parameter estimation. You can
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find a help page explaining the examples [here](docs/transient-search-using-MCMC)
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We include a variety of example search scripts [here](https://gitlab.aei.uni-hannover.de/GregAshton/PyFstat/tree/master/examples), for each
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example there is also a more descriptive write-up containing examples of the
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output which we list below. Before running any of the search examples, be sure
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to have run the [script to generate fake data](docs/make-fake-data).
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### Other
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We also include a variety of example search scripts
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[here](https://gitlab.aei.uni-hannover.de/GregAshton/PyFstat/tree/master/examples),
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for each example there is also a more descriptive write-up containing examples
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of the output which we list below. Before running any of the search examples,
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be sure to have run the [script to generate fake data](docs/make-fake-data).
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* [Making fake data with and without glitches](docs/make-fake-data)
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* [Fully-coherent MCMC search](docs/fully-coherent-search-using-MCMC)
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