MAINT: change URLs

CHANGELOG.md

@@ -518,7 +518,7 @@ Version 1.0.1 release of bilby
 Version 1.0 release of bilby
 
 ### Changes
-- Minor bug fixes and typo changes only from 0.6.9, see the [1.0.0 milestone](https://git.ligo.org/lscsoft/bilby/-/merge_requests?scope=all&state=all&milestone_title=1.0.0) for details
+- Minor bug fixes and typo changes only from 0.6.9, see the [1.0.0 milestone](https://github.com/bilby-dev/bilby/-/merge_requests?scope=all&state=all&milestone_title=1.0.0) for details
 
 ## [0.6.9] 2020-05-21
 ### Changes

README.rst

@@ -18,7 +18,7 @@ If you need help, find an issue, or just have a question/suggestion you can
 - Ask questions (or search through other users questions and answers) on `StackOverflow <https://stackoverflow.com/questions/tagged/bilby>`__ using the bilby tag
 - Submit issues directly through `the issue tracker <https://github.com/bilby-dev/bilby/issues>`__
 - For chat.ligo.org users, join the `#bilby-help <https://chat.ligo.org/ligo/channels/bilby-help>`__ or `#bilby-devel <https://chat.ligo.org/ligo/channels/bilby-devel>`__ channels
-- For LVK-specific issues, please open `a confidential issue on bilby_pipe <https://git.ligo.org/lscsoft/bilby_pipe/-/issues/new>`__
+- For LVK-specific issues, please open `a confidential issue on bilby_pipe <https://github.com/bilby-dev/bilby_pipe/-/issues/new>`__
 
 We encourage you to contribute to the development of bilby. This is done via pull request.  For
 help in creating a pull request, see `this page

docs/basics-of-parameter-estimation.txt

@@ -81,7 +81,7 @@ The code
 
 In the following example, also available under
 `examples/core_examples/linear_regression.py
-<https://git.ligo.org/lscsoft/bilby/tree/master/examples/core_examples/linear_regression.py>`_
+<https://github.com/bilby-dev/bilby/tree/master/examples/core_examples/linear_regression.py>`_
 we will step through the process of generating some simulated data, writing
 a likelihood and prior, and running nested sampling using `bilby`.
 

docs/bilby-output.txt

@@ -99,5 +99,5 @@ Visualising the results
 -----------------------
 Bilby also provides some useful built-in plotting tools. Some examples on how
 to visualise results using these tools (and  how to extend them) are shown in
-one of the tutorials at `visualising_the_results.ipynb  <https://git.ligo.org/lscsoft/bilby/-/blob/master/examples/tutorials/visualising_the_results.ipynb>`_.
+one of the tutorials at `visualising_the_results.ipynb  <https://github.com/bilby-dev/bilby/-/blob/master/examples/tutorials/visualising_the_results.ipynb>`_.
 

docs/compact-binary-coalescence-parameter-estimation.txt

@@ -3,15 +3,15 @@ Compact binary coalescence parameter estimation
 ===============================================
 
 In `this example
-<https://git.ligo.org/lscsoft/bilby/blob/master/examples/gw_examples/injection_examples/standard_15d_cbc_tutorial.py>`_,
+<https://github.com/bilby-dev/bilby/blob/master/examples/gw_examples/injection_examples/standard_15d_cbc_tutorial.py>`_,
 we demonstrate how to generate simulated data for a binary black hole
 coalescence observed by the two LIGO interferometers at Hanford and Livingston
 for all parameters in the `IMRPhenomPv2` waveform model.
 
 The code will take around 15 hours to run.
 
 For testing, you may prefer to run the `4-parameter CBC tutorial
-<https://git.ligo.org/lscsoft/bilby/blob/master/examples/gw_examples/injection_examples/fast_tutorial.py>`__.
+<https://github.com/bilby-dev/bilby/blob/master/examples/gw_examples/injection_examples/fast_tutorial.py>`__.
 
 .. literalinclude:: /../examples/gw_examples/injection_examples/standard_15d_cbc_tutorial.py
    :language: python

docs/examples.txt

@@ -2,26 +2,26 @@
 Examples
 ========
 
-1. `General inference examples <https://git.ligo.org/lscsoft/bilby/tree/master/examples/core_examples>`_:
+1. `General inference examples <https://github.com/bilby-dev/bilby/tree/master/examples/core_examples>`_:
 
-  * `A simple Gaussian likelihood <https://git.ligo.org/lscsoft/bilby/blob/master/examples/core_examples/gaussian_example.py>`_: a good example to see how to write your own likelihood.
-  * `Linear regression for unknown noise <https://git.ligo.org/lscsoft/bilby/blob/master/examples/core_examples/linear_regression_unknown_noise.py>`_: fitting to general time-domain data.
+  * `A simple Gaussian likelihood <https://github.com/bilby-dev/bilby/blob/master/examples/core_examples/gaussian_example.py>`_: a good example to see how to write your own likelihood.
+  * `Linear regression for unknown noise <https://github.com/bilby-dev/bilby/blob/master/examples/core_examples/linear_regression_unknown_noise.py>`_: fitting to general time-domain data.
 
-2. `Examples of injecting and recovering data <https://git.ligo.org/lscsoft/bilby/tree/master/examples/gw_examples/injection_examples>`__:
+2. `Examples of injecting and recovering data <https://github.com/bilby-dev/bilby/tree/master/examples/gw_examples/injection_examples>`__:
 
-  * `4-parameter CBC tutorial <https://git.ligo.org/lscsoft/bilby/blob/master/examples/gw_examples/injection_examples/fast_tutorial.py>`__
-  *  `15-parameter CBC tutorial <https://git.ligo.org/lscsoft/bilby/blob/master/examples/gw_examples/injection_examples/standard_15d_cbc_tutorial.py>`__
-  *  `Create your own source model <https://git.ligo.org/lscsoft/bilby/blob/master/examples/gw_examples/injection_examples/create_your_own_source_model.py>`__
-  *  `Create your own time-domain source model <https://git.ligo.org/lscsoft/bilby/blob/master/examples/gw_examples/injection_examples/create_your_own_time_domain_source_model.py>`__
-  *  `How to specify the prior <https://git.ligo.org/lscsoft/bilby/blob/master/examples/gw_examples/injection_examples/how_to_specify_the_prior.py>`__
-  *  `Using a partially marginalized likelihood <https://git.ligo.org/lscsoft/bilby/blob/master/examples/gw_examples/injection_examples/marginalized_likelihood.py>`__
-  *  `Injecting and recovering a neutron-star equation of state <https://git.ligo.org/lscsoft/bilby/blob/master/examples/gw_examples/injection_examples/bns_eos_example.py>`__
+  * `4-parameter CBC tutorial <https://github.com/bilby-dev/bilby/blob/master/examples/gw_examples/injection_examples/fast_tutorial.py>`__
+  *  `15-parameter CBC tutorial <https://github.com/bilby-dev/bilby/blob/master/examples/gw_examples/injection_examples/standard_15d_cbc_tutorial.py>`__
+  *  `Create your own source model <https://github.com/bilby-dev/bilby/blob/master/examples/gw_examples/injection_examples/create_your_own_source_model.py>`__
+  *  `Create your own time-domain source model <https://github.com/bilby-dev/bilby/blob/master/examples/gw_examples/injection_examples/create_your_own_time_domain_source_model.py>`__
+  *  `How to specify the prior <https://github.com/bilby-dev/bilby/blob/master/examples/gw_examples/injection_examples/how_to_specify_the_prior.py>`__
+  *  `Using a partially marginalized likelihood <https://github.com/bilby-dev/bilby/blob/master/examples/gw_examples/injection_examples/marginalized_likelihood.py>`__
+  *  `Injecting and recovering a neutron-star equation of state <https://github.com/bilby-dev/bilby/blob/master/examples/gw_examples/injection_examples/bns_eos_example.py>`__
 
-3. `Examples using open data <https://git.ligo.org/lscsoft/bilby/tree/master/examples/gw_examples/data_examples>`__:
+3. `Examples using open data <https://github.com/bilby-dev/bilby/tree/master/examples/gw_examples/data_examples>`__:
 
-  * `Analysing the first Binary Black hole detection, GW150914 <https://git.ligo.org/lscsoft/bilby/blob/master/examples/gw_examples/data_examples/GW150914.py>`__
+  * `Analysing the first Binary Black hole detection, GW150914 <https://github.com/bilby-dev/bilby/blob/master/examples/gw_examples/data_examples/GW150914.py>`__
 
-4. `Notebook-style tutorials <https://git.ligo.org/lscsoft/bilby/tree/master/examples/tutorials>`__:
+4. `Notebook-style tutorials <https://github.com/bilby-dev/bilby/tree/master/examples/tutorials>`__:
 
-  * `Comparing different samplers <https://git.ligo.org/lscsoft/bilby/blob/master/examples/tutorials/compare_samplers.ipynb>`__
-  * `Visualising the output <https://git.ligo.org/lscsoft/bilby/blob/master/examples/tutorials/visualising_the_results.ipynb>`__
+  * `Comparing different samplers <https://github.com/bilby-dev/bilby/blob/master/examples/tutorials/compare_samplers.ipynb>`__
+  * `Visualising the output <https://github.com/bilby-dev/bilby/blob/master/examples/tutorials/visualising_the_results.ipynb>`__

docs/gw_prior.txt

@@ -96,5 +96,5 @@ Priors using a Jupyter notebook
 Bilby saves as output the prior volume sampled. You might also find useful to
 produce priors directly from a Jupyter notebook. You can have a look at one of
 the Bilby tutorials to check how you define and plot priors in a Jupyter notebook:
-`making_priors.ipynb <https://git.ligo.org/lscsoft/bilby/-/blob/master/examples/tutorials/making_priors.ipynb>`_.
+`making_priors.ipynb <https://github.com/bilby-dev/bilby/-/blob/master/examples/tutorials/making_priors.ipynb>`_.
 

docs/likelihood.txt

@@ -65,7 +65,7 @@ This demonstrates the two required features of a :code:`bilby`
 #. It has a :code:`log_likelihood` method which, when called returns the log
    likelihood for all the data.
 
-You can find an example that uses this likelihood `here <https://git.ligo.org/lscsoft/bilby/blob/master/examples/other_examples/gaussian_example.py>`_.
+You can find an example that uses this likelihood `here <https://github.com/bilby-dev/bilby/blob/master/examples/other_examples/gaussian_example.py>`_.
 
 .. tip::
 
@@ -155,7 +155,7 @@ be the dependent variable.
     as the case when there is no signal (i.e., :math:`y(x; \theta)=0`).
 
 You can see an example of this likelihood in the `linear regression example
-<https://git.ligo.org/lscsoft/bilby/blob/master/examples/other_examples/linear_regression.py>`_.
+<https://github.com/bilby-dev/bilby/blob/master/examples/other_examples/linear_regression.py>`_.
 
 General likelihood for fitting a function :math:`y(x)` to some data with unknown noise
 --------------------------------------------------------------------------------------
@@ -213,7 +213,7 @@ instantiating the likelihood::
 
 We provide this general-purpose class as part of bilby :code:`bilby.core.likelihood.GaussianLikleihood`
 
-An example using this likelihood can be found `on this page <https://git.ligo.org/lscsoft/bilby/blob/master/examples/other_examples/linear_regression_unknown_noise.py>`_.
+An example using this likelihood can be found `on this page <https://github.com/bilby-dev/bilby/blob/master/examples/other_examples/linear_regression_unknown_noise.py>`_.
 
 Common likelihood functions
 ---------------------------

docs/plugins.txt

@@ -56,7 +56,7 @@ Sampler plugin library
 
 This is a list of known sampler plugins. if you don't see your plugin listed
 here, we encourage you to open a
-`merge request <https://git.ligo.org/lscsoft/bilby/-/merge_requests/new>`_ to add it.
+`merge request <https://github.com/bilby-dev/bilby/-/merge_requests/new>`_ to add it.
 
 - This could be your sampler
 
@@ -89,5 +89,5 @@ Adding a new plugin group
 -------------------------
 
 If you want to add support for a new plugin group, please
-`open an issue <https://git.ligo.org/lscsoft/bilby/-/issues/new>`_
+`open an issue <https://github.com/bilby-dev/bilby/-/issues/new>`_
 to discuss the details with other developers.

docs/samplers.txt

@@ -107,9 +107,9 @@ installed using
    $ pip install -r sampler_requirements.txt
 
 where the file `sampler_requirements.txt
-<https://git.ligo.org/lscsoft/bilby/blob/master/sampler_requirements.txt>`_ can
+<https://github.com/bilby-dev/bilby/blob/master/sampler_requirements.txt>`_ can
 be found in the at the top-level of `the repository
-<https://git.ligo.org/lscsoft/bilby>`_ (Note: if you installed from pip, you
+<https://github.com/bilby-dev/bilby>`_ (Note: if you installed from pip, you
 can simply download that file and use the command above).