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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Assessing the Impact of High-Resolution Imaging on Statistical Validation of TESS Planet Candidates · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2608.21560/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:27:26 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/2608.21560/feed.xml" rel="self" type="application/rss+xml" /><item><title>Assessing the Impact of High-Resolution Imaging on Statistical Validation of TESS Planet Candidates — HN submission</title><link>https://news.ycombinator.com/item?id=49458267</link><guid isPermaLink="false">urn:hackerpapers:submission:2608.21560:49458267</guid><pubDate>Thu, 27 Aug 2026 01:26:25 GMT</pubDate><description>&lt;p&gt;High-Resolution Imaging for Statistical Validation of TESS Planet Candidates&lt;/p&gt;&lt;p&gt;First author here. I have no experience in astronomy, yet facilitated one of the largest studies of exoplanet discovery and validation ever conducted using data from NASA’s TESS satellite. We statistically validated 64 new exoplanets, making it through a rigorous peer review process. Last week the paper was formally accepted by The Astronomical Journal. Using AI, I created an automated data processing pipeline to process hundreds of gigabytes of data, integrating many disparate systems that typically would require manual work in Jupyter notebooks. Ultimately I was able to make enough progress…&lt;/p&gt;&lt;p&gt;13 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2608.21560/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>astro-ph.EP</category></item></channel></rss>
