Resonant scattering, metallicity, and redshift (Jupyter scripts)

<p>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 (10<sup>5 </sup>K < T < 10<sup>7</sup> 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).</p>

<p>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.</p>

<p>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).</p>

<p> </p>

<p>Jupyter Notebooks.</p>

<p><br />
The Jupyter notebook “Scattering_continuum_file_summary” reads the output of the Cloudy simulations and selects only two fields (energy bin and reflected emission) for the band [450-970 eV]. The output is stored in the “Data” set. This effectively reduced the ~30 GB of Cloudy data for one simulation to ~130 MB.</p>

<p>The Jupyter notebook “Scattering_emission_maps_short” reads the output of “Scattering_continuum_file_summary” and plots the data for the selected ions (thermal emission, total emission, and ratios between total emission and thermal emission) as a function of temperature and density. The script also saves the raw data used for the plots.</p>

<p>The Jupyter notebook “Scattering_emission_graphs” reads the output of “Scattering_emission_maps_short” and plots the data as function of density (or temperature) at selected metallicities and redshifts.</p>

<p>The Jupyter notebook “Scattering_continuum_file_summary_bg” is equivalent to "Scattering_continuum_file_summary" but also handles the different CXB model cases.</p>

<p>The Jupyter notebook “Scattering_emission_maps_short_bg” is equivalent to "Scattering_emission_maps_short" but also handles the different CXB model cases.</p>

<p>The Jupyter notebook “Scattering_emission_graphs_bg” reads the output of “Scattering_emission_maps_short_bg”, it is equivalent to “Scattering_emission_graphs”  but also handles the different CXB model cases.</p>

<p>The Jupyter notebook “phase_diagrams” generates temperature-density phase diagrams of the output from the Illustris TNG data. The original input data is not provided and must be retrieved from the Illustris TNG simulation repositories.</p>