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https://github.com/edoaltamura/rotational-ksz-macsis
Repository for suppelementary material from my publication on the rotational kinetic SZ effect in MACSIS
https://github.com/edoaltamura/rotational-ksz-macsis
cosmology data-analysis galaxy-clusters high-performance-computing hydrodynamics
Last synced: 7 days ago
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Repository for suppelementary material from my publication on the rotational kinetic SZ effect in MACSIS
- Host: GitHub
- URL: https://github.com/edoaltamura/rotational-ksz-macsis
- Owner: edoaltamura
- Created: 2020-09-03T21:05:34.000Z (about 4 years ago)
- Default Branch: master
- Last Pushed: 2024-02-26T16:47:26.000Z (9 months ago)
- Last Synced: 2024-02-26T18:07:51.409Z (9 months ago)
- Topics: cosmology, data-analysis, galaxy-clusters, high-performance-computing, hydrodynamics
- Language: Python
- Homepage:
- Size: 6.15 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
![Rotational kSZ](https://img.shields.io/badge/ArXiv-2302.07936-red)
![MIT License](https://img.shields.io/github/license/edoaltamura/entropy-core-problem)
![PyPI - Python Version](https://img.shields.io/pypi/pyversions/3)
![DiRAC](https://img.shields.io/badge/DiRAC-COSMA7-green)
![Stargazers](https://img.shields.io/github/stars/edoaltamura/macsis-cosmosim)
![Issues](https://img.shields.io/github/issues/edoaltamura/macsis-cosmosim)# Rotational kinetic SZ effect in MACSIS clusters
#### Data products from the study by [Altamura et al. (2023)](https://ui.adsabs.harvard.edu/abs/2023arXiv230207936A/abstract)
This repository contains suppelementary material from my publications on the rkSZ effect, and a collection of analysis tools for the MACSIS cosmological simulations. MACSIS is a suite of zoom-in simulations of galaxy clusters run with `Gadget-3` and the BAHAMAS sub-grid model. An overview of the most massive MACSIS cluster is shown below, with the kSZ maps in the insets at the bottom.![Overview of the MACSIS 0 cluster](img/map_with_vectors_0.png)
## 📚 Citing
When using data products or code from this repository, and the results or insights derived from it, we recommend citing [Altamura et al. (2023)](https://ui.adsabs.harvard.edu/abs/2023arXiv230207936A/abstract) using the [bibliography styles provided in ADS](https://ui.adsabs.harvard.edu/abs/2023arXiv230207936A/exportcitation).