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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Rapid Bayesian position reconstruction for gravitational-wave transients · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1508.03634/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/1508.03634/feed.xml" rel="self" type="application/rss+xml" /><item><title>Rapid Bayesian position reconstruction for gravitational-wave transients — mentioned by stefco_</title><link>https://news.ycombinator.com/item?id=20468190</link><guid isPermaLink="false">urn:hackerpapers:mention:1508.03634:20468190</guid><pubDate>Thu, 18 Jul 2019 09:43:02 GMT</pubDate><description>&lt;p&gt;This is the same reason astronomers like HEALPix tiling for skymaps [0]. Equal areas-per-pixel (important for integrating over areas) with straightforward spherical harmonics calculations and hierarchical extensions that can store images at multiple resolutions by subdividing base cells (LIGO uses one such hierarchical strategy for our low-latency gravitational wave source direction estimates [1]). [0] https://healpix.sourceforge.io [1] https://arxiv.org/abs/1508.03634&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1508.03634/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>gr-qc</category></item></channel></rss>
