Ploeckinger & Schaye (MNRAS, accepted) [paper on arxiv]
Hdf5 files I: Rates & fractions - Hdf5 files II: Line emissivities (hdf5 files) - UV background (for use with Cloudy) - Graphical user interface (python) - Routines for coupling to hydro code (C) - Supplementary_figures
These files contain cooling and heating rates, ion fractions, dust depletion factors, as well as molecule and free electron abundances.
An hdf5 datafile is available for each model listed in Table 5 of Ploeckinger & Schaye (MNRAS, accepted).
After downloading the tables, they can be browsed with an hdf viewer
(e.g. hdfview). In case no hdf viewer is available
or for a quick overview of the datasets, the following commands are useful (for more info click
List all datasets in the hdf5 files:
> h5ls -r UV_dust1_CR1_G1_shield1.hdf5
Each dataset has the attributes "Info", "Dimension", and "Unit" for more details. The attributes can be displayed with:
> h5dump -a '
These files contain the line emissivities for the 183 lines listed in Table 7 of the paper.
An hdf5 datafile is available for the fiducial model (UVB_dust1_CR1_G1_shield1) as well as the unshielded version of the fiducial model (UVB_dust1_CR1_G1_shield0).
For use in Cloudy (tested for v17.01)
The UV/X-ray background used in this work ("mod. FG20") is based on the spectrum by Faucher-Giguère (2020) ("FG20") but the input radiation field is attenuated by a column of neutral hydrogen until hydrogen reionization is complete and by a column of singly ionized helium until helium reionization is complete. This radiation field can be used in Cloudy by replacing the file "hm12_galaxy.ascii" in the data folder and using the standard "table hm12 redshift 0.0" command. This was tested for Cloudy v17.01 but should work for a variety of Cloudy versions.
Explore and plot the content of the 4 dimensional tables.
This python-based gui uses the
tkinter package and is hosted on github.
After downloading the hdf5 and the python gui files, the gui can be started with:
> python3 CoolingTablesGUI_main.py
A compilation of C routines to read in and interpolate the tables to return the net cooling rate for a given redshift, metallicity, temperature, and density is hosted on github. Individual routines can be directly used and/or adapted to be coupled to a hydrodynamics code.
The figures below show the ion fractions for the gas phase at the thermal equilibrium temperature of the last Cloudy zone (i.e. the temperature where cooling rate = heating rate) for solar metallicity gas at z=0, using the fiducial model (UVB_dust1_CR1_G1_shield1). All figures were made with the python gui.