Resonant scattering, metallicity, and redshift (Cloudy data) (Version 2)

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Authors: Eugenio Ursino
Cited by: 0

Abstract

The warmer gaseous component of the Large Scale Structure of the Universe emits primarily in the X-ray portion of the electromagnetic spectrum, mostly through thermal emission. Resonant scattering of X-ray background radiation by the Warm-Hot Intergalactic Medium (105 K < T < 107 K), however, can contribute significantly to the amplitude of the resonant emission lines of selected ions (with an increment of more than a factor 30). Tables for the emission (thermal and resonant scattering) at different temperature, density, metallicity, and redshift are generated with Cloudy. The comparison between thermal emission and resonant scattering contributions is performed with Jupyter Notebooks. All the material related to the published paper is stored in four sets: “Cloudy scripts”, “Jupyter scripts”, “Data”, and “Figures”. Additional material, that extends beyond the initial investigation, will be stored at a later time (the description will be updated accordingly). Data. The data folder does not include very large sets, like the Illustris TNG data and the Cloudy output. The Illustris dataset can be retrieved from the Illustris TNG Simulation repository. The Cloudy data can be generated with scripts in the “Cloudy script” set in less than 24 hours. The data folder contains the summary of the Cloudy data (labeled *_s.con) generated by “Scattering_emission_maps_short”. The summary is stored in a set of tar.gz files. If the original Cloudy data is not required, it is likely faster to download the *_s.con files from this repository. The Jupyter notebook copies data from the original continuum file (adopting the same units as the original); the first column (the energy of the spectrum bin) has units of eV, the second column (the “reflected” spectrum) has units of erg cm-2 s-1.

Fields of Study & Subjects

Galaxies: Formation Evolution Phenomena Astrophysics and Star Formation Studies Astrophysics and Cosmic Phenomena

Publication details

Journal / source
Purdue University Research Repository
Publication date
28 January 2026
Language
EN
Document type
Dataset