【文章标题】：High-Resolution Imaging for Statistical Validation of TESS Planet Candidates 【文章标题】：用于TESS行星候选体统计验证的高分辨率成像
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. 我是本文的第一作者。我虽没有天文学背景，却推动了一项利用NASA的TESS卫星数据开展的有史以来规模最大的系外行星发现与验证研究之一。我们对64颗新系外行星进行了统计验证，并顺利通过了严格的同行评审。
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 to get the attention of astrophysicists, who helped guide me through getting the results peer-review ready. Happy to share more if there are questions! 上周，这篇论文被《天文学杂志》正式接收。借助人工智能，我构建了一条自动化数据处理流水线，处理了数百GB的数据，整合了许多通常需要在Jupyter笔记本中手动操作的独立系统。最终，我取得了足够的进展，引起了天体物理学家的关注，他们指导我完成了使研究成果达到同行评审要求的工作。如果大家有问题，我很乐意分享更多细节！
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https://news.ycombinator.com/item?id=49458267 https://news.ycombinator.com/item?id=49458267
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