Galaxy Clusters mock light-cones from the MultiDark simulations. If you use these mocks, please reference Zandanel et. al (2018)

This webpage contain the MultiDark-Clusters light-cones, i.e., galaxy clusters mock light-cones from the BigMD simulations. We refer the user to Zandanel et al. (2018) for all details (in particular to Appendix A that contains a detailed description of the catalog). The light-cones are divided in three categories as follows:

  1. light-cones for the reference observer that include clusters with masses M_500 > 5e13 Msun/h_cosmo,
  2. light-cones for the reference observer that include clusters with masses M_500 > 1e13 Msun/h_cosmo,
  3. the 100 light-cones for the 100 random observers that include clusters with masses M_500 > 1e13 Msun/h_cosmo.
We want to stress again here that the light-cones are accurate within a limited redshift range: below z < 0.94 for BigMDPL and within 0.16 < z < 0.86 for BigMD27.

The light-cones belonging to the category (i) above contain the following entries:

table description

The light-cones belonging to the category (ii) above and dubbed _inter_ contain only columns 1-to-8, 13 and 17-to-42 for each galaxy cluster. For the light-cones adopting a different integration radius, i.e., 2.5 R_500 and 5 R_500, the entries 13 and 17-to-22 refer to the chosen integration radius rather than to R_500. For the light-cone adopting 2.5 R_500 as integration radius, the profiles entries 23-to-42 refer to Delta r = 2.5 R_500/10. For the light-cones adopting 5 R_500 as integration radius, the profiles entries 23--to--42 refer only to the X-ray quantity F_{0.5-2,proj}^{0-19} with r_{i=0-19} = (Delta r x i) + Delta r/2 and thickness Delta r = 5 x R_500/20.

The 100 light-cones for the random observers belonging to category (iii) above contain only columns 2-to-4, 6, 8, 17-to-20 and 22. These are dubbed with numbers from 0 to 99. The observer corresponding to the BigMDPL reference observer of the previous categories, (i) and (ii), of light-cones is number 17.

eROSITA count-rate all-sky HEALPix map (see Zandanel et al. for more details)