<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Data Analysis – Methods on Mi Chen</title><link>https://chenmi0619.github.io/tags/data-analysis--methods/</link><description>Recent content in Data Analysis – Methods on Mi Chen</description><generator>Hugo -- 0.147.2</generator><language>en</language><lastBuildDate>Mon, 22 Apr 2024 00:00:00 +0000</lastBuildDate><atom:link href="https://chenmi0619.github.io/tags/data-analysis--methods/index.xml" rel="self" type="application/rss+xml"/><item><title>Galmoss: A package for GPU-accelerated galaxy profile fitting</title><link>https://chenmi0619.github.io/publications/galmoss/</link><pubDate>Mon, 22 Apr 2024 00:00:00 +0000</pubDate><guid>https://chenmi0619.github.io/publications/galmoss/</guid><description>This paper introduce a two-dimensinal galaxy surface brightness fitting pacakge, which could be super fast under the accaleration of GPU. Published in the Journal Astronomy and computing, 2024.</description></item></channel></rss>