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mj-will/nessai-models: v0.2.0
No full textWhat's Changed
Fix publish to pypi workflow by @mj-will in https://github.com/mj-will/nessai-models/pull/24
Update readme with DOI and badges by @mj-will in https://github.com/mj-will/nessai-models/pull/25
Add signal plus noise models by @mj-will in https://github.com/mj-will/nessai-models/pull/26
Full Changelog: https://github.com/mj-will/nessai-models/compare/v0.1.0...v0.2.
mj-will/nessai: v0.7.1
No full textThis is release v0.7.1 of nessai.
This is a patch release and only contains backwards compatible bug fixes.
What's Changed
Fix bug when resuming with multiprocessing pool by @mj-will in https://github.com/mj-will/nessai/pull/261
Full Changelog: https://github.com/mj-will/nessai/compare/v0.7.0...v0.7.
mj-will/nessai-models: v0.5.0
No full text<h2>What's Changed</h2>
<ul>
<li>Update build and CI by @mj-will in https://github.com/mj-will/nessai-models/pull/34</li>
<li>Add SlabSpike model by @johnveitch in https://github.com/mj-will/nessai-models/pull/33</li>
<li>BLD: use dash in name instead of underscore by @mj-will in https://github.com/mj-will/nessai-models/pull/35</li>
<li>Update docs by @mj-will in https://github.com/mj-will/nessai-models/pull/36</li>
</ul>
<h2>New Contributors</h2>
<ul>
<li>@johnveitch made their first contribution in https://github.com/mj-will/nessai-models/pull/33</li>
</ul>
<p><strong>Full Changelog</strong>: https://github.com/mj-will/nessai-models/compare/v0.4.0...v0.5.0</p>
mj-will/nessai: v0.5.1
No full textThis patch fixes a recently discovered bug related to the initial sampling from the prior.
Details
The bug occurs very infrequently when the prior is difficult to sample from. It therefore shouldn't affect most runs and is very obvious when it does occur. The clearest indication that this bug has occurred is very few posterior samples (<100).
What's Changed
Fix initial live points bug by @mj-will in https://github.com/mj-will/nessai/pull/171
Full Changelog: https://github.com/mj-will/nessai/compare/v0.5.0...v0.5.
mj-will/nessai: v0.10.0
No full text<p>Release of nessai v0.10.0.</p>
<p>This release includes a few new minor features, many of these that were implemented to enable easier integration with <a href="https://pycbc.org/">PyCBC</a>. It also fixes some minor bugs that should not impact existing results. For full details, see the relevant sections below and the <a href="https://github.com/mj-will/nessai/compare/v0.9.1...v0.10.0">full changelog</a>.</p>
<p><strong>Important</strong>
References to <code>dZ</code> have been changes to <code>dlogZ</code>, this is consistent with what is used by other samplers. This change is purely cosmetic and there have been no changes to how the stopping criterion is computed.</p>
<h3>Added</h3>
<ul>
<li><code>birth_log_likelihoods</code> to <code>NestedSampler</code> and <code>logL_birth</code> to the result dictionary (<a href="https://github.com/mj-will/nessai/pull/318">#318</a>)</li>
<li>Support for non-vectorised log-prior functions (<a href="https://github.com/mj-will/nessai/pull/330">#330</a>)</li>
<li>Add the live points to the trace plot for the standard nested sampler (<a href="https://github.com/mj-will/nessai/pull/334">#334</a>)</li>
<li>Add an option to resume from a pickle object rather than a resume file (<a href="https://github.com/mj-will/nessai/pull/337">#337</a>)</li>
</ul>
<h3>Changed</h3>
<ul>
<li>Nested samples are now stored as an array in the result object rather than a dictionary (<a href="https://github.com/mj-will/nessai/pull/318">#318</a>)</li>
<li>Reduce the size of importance nested sampling checkpoints (<a href="https://github.com/mj-will/nessai/pull/327">#327</a>)</li>
<li>Rename <code>nessai.utils.bilbyutils</code> to <code>nessai.utils.settings</code> (<a href="https://github.com/mj-will/nessai/pull/332">#332</a>)</li>
<li>Changed name of <code>dZ</code> to <code>dlogZ</code>, this does not change how the stopping criterion is calculated (<a href="https://github.com/mj-will/nessai/pull/333">#333</a>)</li>
</ul>
<h3>Fixed</h3>
<ul>
<li>Fix a bug with the prior bounds that occurred when <code>bounds</code> and <code>names</code> had different orders (<a href="https://github.com/mj-will/nessai/pull/329">#329</a>)</li>
<li>Fix a bug with <code>close_pool</code> that lead to the pool being closed irrespective of the value (<a href="https://github.com/mj-will/nessai/pull/331">#331</a>)</li>
</ul>
<h3>Deprecated</h3>
<ul>
<li><code>nessai.utils.bilbyutils</code> is deprecated in favour on <code>nessai.utils.settings</code> and will be removed in a future release (<a href="https://github.com/mj-will/nessai/pull/332">#332</a>)</li>
</ul>
<p><strong>Full Changelog</strong>: https://github.com/mj-will/nessai/compare/v0.9.1...v0.10.0</p>
mj-will/nessai: v0.8.0b0
No full textFirst beta release of nessai version 0.8.0.
Note, this release includes several breaking changes, including changing the default result format to hdf5. For detail about the included changes, see the changelog.
Full Changelog: https://github.com/mj-will/nessai/compare/v0.7.1...v0.8.0b
mj-will/nessai: v0.10.1
No full text<p>Release of nessai v0.10.1.</p>
<p>This is a bugfix release and does not introduce any breaking changes.</p>
<p>This release addresses a bug introduced in <a href="https://github.com/mj-will/nessai/releases/tag/v0.10.0">v0.10.0</a> that caused significant slowdowns in bilby analyses. We recommend that users using bilby with nessai v0.10.0 upgrade as soon as possible.</p>
<h2>Changes</h2>
<p><strong>Fixed</strong></p>
<ul>
<li>Relax tolerance used when checking if the log-prior is vectorised such that bilby priors are treated as vectorised (<a href="https://github.com/mj-will/nessai/pull/343">#343</a>)</li>
</ul>
<p><strong>Full Changelog</strong>: https://github.com/mj-will/nessai/compare/v0.10.0...v0.10.1</p>
mj-will/nessai: v0.12.0a0
No full text<p>This is an alpha release of v0.12.0 of nessai.</p>
<p>This release is not intended for production use, and the changes here are not considered final.</p>
<p>The main changes in this pre-release are improvements to the importance nested sampler, most notably:</p>
<ul>
<li>final i.i.d samples can now be drawn during sampling rather than post sampling,</li>
<li>the sampler no longer requires the <code>to_unit_hypercube</code> method for sampling.</li>
</ul>
<p><strong>Full Changelog</strong>: https://github.com/mj-will/nessai/compare/v0.11.0...v0.12.0a0</p>
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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