The entropy core problem

Data products from the study by Altamura et al. (2022)

The data are supplied in hdf5 format. They can be inspectes with h5dump, HDFView and can be read programmatically using the supplied file load_data.py.

load_data.py organises the data in categories through the following classes:

• RefModelExtendedSample
• PropertiesReducedSample
• ProfilesReducedSample

For each class, the data structure is the same as in the hdf5 files and can be navigated using class attributes. The datasets already include the units from the unyt module.

This is an example code to plot the profile for the group (VR2915) at high resolution (+1res in the hdf5 file or plus_1res in the class instance attributes), run with the reference EAGLE-like model (Ref).

from load_data import ProfilesReducedSample

profiles = ProfilesReducedSample()
entropy_profile = profiles.data.VR2915_plus_1res.Ref.entropy_profile

# The entropy profile is in dimensionless units, normalised to the self-similar scaling $K_{500}$ 
print(entropy_profile)

# The radial distance of the shells used to bin the particles is scaled by $r_{500}$
radial_bin_centres = profiles.data.VR2915_plus_1res.Ref.radial_bin_centres

from matplotlib import pyplot as plt

# To display the dimensionless profile, use matplotlib
plt.plot(radial_bin_centres, entropy_profile)
plt.xlabel(r"$r/r_{500}$")
plt.ylabel(r"$K/K_{500}$")
plt.show()

Data structure: RefModelExtendedSample

RefModelExtendedSample()
|
|-- resolution_minus_8res
|    |-- entropy_profile
|    |-- gas_fraction
|    |-- m500
|    |-- radial_bin_centres
|    |-- star_fraction
|    |-- VR_numbers
|
|-- resolution_plus_1res
     |--  ...

Data structure: PropertiesReducedSample

PropertiesReducedSample()
|
|-- redshift_0
|    |-- VR18_minus_1res
|    |    |-- AGNdT8
|    |    |    |-- entropy_core
|    |    |    |-- fbary            {Baryon fraction == fgas + fstar}
|    |    |    |-- fgas
|    |    |    |-- fstar
|    |    |    |-- m500
|    |    |    |-- mbh              {Mass of the SMBH}
|    |    |    |-- mgas             {Mass of the hot gas inside r500}
|    |    |    |-- mstar_100kpc     {Stellar mass of the BCG}
|    |    |    |-- ssfr_100kpc      {1Gyr-averaged specific star-formation rate in the BCG}
|    |    |
|    |    |-- AGNdT9 [same fields]
|    |    |-- Bipolar [...]
|    |    |-- Isotropic [...]
|    |    |-- Random [...]
|    |    |-- Ref [...]
|    |    |-- alpha0 [...]
|    |    |-- noAGN [...]
|    |    |-- noMetalCooling [...]
|    |    |-- noSN [...]
|    |
|    |-- VR18_plus_8res
|    |    |--  ...
|    |
|    |-- VR2915_plus_1res
|    |    |--  ...
|    |
|    |-- VR2915_minus_8res
|         |--  ...
|
|
|-- redshift_1
     |--  ...

Data structure: ProfilesReducedSample

ProfilesReducedSample()
|
|-- VR18_minus_1res
|    |-- AGNdT8
|    |    |-- density_profile
|    |    |-- entropy_profile
|    |    |-- temperature_profile
|    |    |-- radial_bin_centers
|    |
|    |-- AGNdT9 [same fields]
|    |-- Bipolar [...]
|    |-- Isotropic [...]
|    |-- Random [...]
|    |-- Ref [...]
|    |-- alpha0 [...]
|    |-- noAGN [...]
|    |-- noMetalCooling [...]
|    |-- noSN [...]
|
|-- VR18_plus_8res
|    |--  ...
|
|-- VR2915_plus_1res
|    |--  ...
|
|-- VR2915_minus_8res
     |--  ...

Raw simulation data for the simulated cluster

The raw data for the simulated cluster at $z=0$ run with the Ref model is publicly accessible and can be downloaded from Zenodo at this link.

If you use these raw data files for your work, please consider citing the MNRAS paper, as well as the Zenodo dataset with this BibTeX handle:

@dataset{edoardo_altamura_2023_8410619,
  author       = {Edoardo Altamura},
  title        = {{Simulated galaxy cluster data at $z=0$ demonstrating 
                   the entropy core problem with the SWIFT-EAGLE
                   galaxy formation model}},
  month        = oct,
  year         = 2023,
  note         = {{Main snapshot data: snap\_2640.hdf5 Main catalogue 
                   data: snap\_2640.properties}},
  publisher    = {Zenodo},
  version      = {1.0},
  doi          = {10.5281/zenodo.8410619},
  url          = {https://doi.org/10.5281/zenodo.8410619}
}