X-ray: Generate and Analyse is a module designed to make the analysis of XMM observations simple and efficient. It provides an interface with SAS for the creation of XMM data products, as well as a way to easily perform fits (scalable for multiple observations) and retrieve information about an object, all within a Python package.

The Galaxy Cluster ‘Pypeline’ for X-ray Temperature Maps

Tools for analyzing galaxy clusters.

Python routines for computing Navarro-Frenk-White halo properties

Joint X-ray and SZ data fitting code for galaxy clusters in Python

Pressure Profile Fitter for galaxy clusters in Python

Likelihood Inference Neural Network Accelerator

Codes used in a wide variety of astronomy/astrophysics

Astronomical X-ray sources surface brightness profile fitting package

Friends-of-friends algorithm used to find galaxy clusters.

Package to measure and model weak gravitational lensing by sattelite galaxies in galaxy clusters

Simulation of metal diffusion in the ICM for the Perseus Cluster The aim of the project is to show the possible parameters for efficient metal distribution under reasonable diffusion timescales to reproduce observed abundance profile.

The Outer Stellar Mass of Massive Galaxies: A SimpleTracer of Halo Mass with Scatter Comparable to Richnessand Reduced Projection Effects

University of Nottingham 3rd Year Astrophysics Project - Searching for Galaxy Clusters in the Dark Energy Survey

Website do grupo de pesquisa: IAG Machine Learning - Sistemas inteligentes para descoberta em astronomia. Instituto de Astronomia, Geofísica e Ciências Atmosféricas da Universidade de São Paulo - IAG/USP. Para acessar o código fonte do website, acesse: https://github.com/iagml/website. Este repositório possui apenas código gerado.

Code used to galaxy protocluster analysis for Lacaille, K. et al., 2019, MNRAS

My galaxy cluster sample analysis code for temperature, entropy, and metallicity radial profiles from PhD thesis in 2012

Masks a data artefact w.r.t to celestial coords and a Mangle polygon file.

Based on a Fortran code developed by Pier-Stefano Corasaniti (LUTH), the goal of this Python/C code is to provide an efficient yet easy to use library to compute the mass of the most massive galaxy cluster in a given redshift bin.