<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Methods: Numerical |</title><link>https://tommasoronconi.github.io/tags/methods-numerical/</link><atom:link href="https://tommasoronconi.github.io/tags/methods-numerical/index.xml" rel="self" type="application/rss+xml"/><description>Methods: Numerical</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Thu, 01 Oct 2020 00:00:00 +0000</lastBuildDate><image><url>https://tommasoronconi.github.io/media/icon.svg</url><title>Methods: Numerical</title><link>https://tommasoronconi.github.io/tags/methods-numerical/</link></image><item><title>SCAMPY - A sub-halo clustering and abundance matching based PYTHON interface for painting galaxies on the dark matter halo/sub-halo hierarchy</title><link>https://tommasoronconi.github.io/publications/2020-mnras-498-2095-r/</link><pubDate>Thu, 01 Oct 2020 00:00:00 +0000</pubDate><guid>https://tommasoronconi.github.io/publications/2020-mnras-498-2095-r/</guid><description/></item><item><title>Cosmic voids uncovered - first-order statistics of depressions in the biased density field</title><link>https://tommasoronconi.github.io/publications/2019-mnras-488-5075-r/</link><pubDate>Tue, 01 Oct 2019 00:00:00 +0000</pubDate><guid>https://tommasoronconi.github.io/publications/2019-mnras-488-5075-r/</guid><description/></item></channel></rss>