<?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>Software on Connor Stone</title><link>http://connorjstone.com/tags/software/</link><description>Recent content in Software on Connor Stone</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sun, 09 Nov 2025 00:00:00 +0000</lastBuildDate><atom:link href="http://connorjstone.com/tags/software/index.xml" rel="self" type="application/rss+xml"/><item><title>PTED</title><link>http://connorjstone.com/software/pted/</link><pubDate>Sun, 09 Nov 2025 00:00:00 +0000</pubDate><guid>http://connorjstone.com/software/pted/</guid><description>The Permutation Test using the Energy Distance (PTED) is a powerful multi-dimensional two sample test.</description></item><item><title>💻 caskade: Building Pythonic Scientific Simulators</title><link>http://connorjstone.com/publications/caskade/</link><pubDate>Sun, 01 Jun 2025 00:00:00 +0000</pubDate><guid>http://connorjstone.com/publications/caskade/</guid><description>caskade is a Python library for constructing modular, differentiable scientific simulators with automatic parameter tracking and Bayesian inference integration.</description></item><item><title>caskade</title><link>http://connorjstone.com/software/caskade/</link><pubDate>Sun, 01 Jun 2025 00:00:00 +0000</pubDate><guid>http://connorjstone.com/software/caskade/</guid><description>caskade is a Python library for constructing modular, differentiable scientific simulators with automatic parameter tracking and Bayesian inference integration.</description></item><item><title>💻 Caustics: A Python Package for Accelerated Strong Gravitational Lensing Simulations</title><link>http://connorjstone.com/publications/caustics/</link><pubDate>Sat, 22 Jun 2024 00:00:00 +0000</pubDate><guid>http://connorjstone.com/publications/caustics/</guid><description>Caustics is a GPU-accelerated Python package for strong gravitational lensing forward modelling, enabling fast simulation and inference for large-scale lensing surveys.</description></item><item><title>Caustics</title><link>http://connorjstone.com/software/caustics/</link><pubDate>Sat, 22 Jun 2024 00:00:00 +0000</pubDate><guid>http://connorjstone.com/software/caustics/</guid><description>Caustics is a GPU-accelerated Python package for strong gravitational lensing forward modelling, enabling fast simulation and inference for large-scale lensing surveys.</description></item><item><title>💻 AstroPhot: Fitting Everything Everywhere All at Once in Astronomical Images</title><link>http://connorjstone.com/publications/astrophot/</link><pubDate>Thu, 03 Aug 2023 00:00:00 +0000</pubDate><guid>http://connorjstone.com/publications/astrophot/</guid><description>AstroPhot is a Python package for simultaneous multi-band, multi-object photometric fitting of astronomical images using automatic differentiation and GPU acceleration.</description></item><item><title>AstroPhot</title><link>http://connorjstone.com/software/astrophot/</link><pubDate>Thu, 03 Aug 2023 00:00:00 +0000</pubDate><guid>http://connorjstone.com/software/astrophot/</guid><description>AstroPhot is a Python package for simultaneous multi-band, multi-object photometric fitting of astronomical images using automatic differentiation and GPU acceleration.</description></item><item><title>💻 AutoProf: An Automated Non-Parametric Light Profile Pipeline for Modern Galaxy Surveys</title><link>http://connorjstone.com/publications/autoprof/</link><pubDate>Mon, 28 Jun 2021 00:00:00 +0000</pubDate><guid>http://connorjstone.com/publications/autoprof/</guid><description>AutoProf is an automated pipeline for extracting non-parametric surface brightness profiles from galaxy images, designed to scale to the large datasets of modern wide-field surveys.</description></item><item><title>AutoProf</title><link>http://connorjstone.com/software/autoprof/</link><pubDate>Mon, 28 Jun 2021 00:00:00 +0000</pubDate><guid>http://connorjstone.com/software/autoprof/</guid><description>AutoProf is an automated pipeline for extracting non-parametric surface brightness profiles from galaxy images, designed to scale to the large datasets of modern wide-field surveys.</description></item></channel></rss>