"How baryons can significantly bias cluster count cosmology" by Debackere et al. dataset (Q6694395)

Dataset of the Maximum A-Posteriori Probabilities for the stage III and stage IV-like cluster count cosmology surveys. The datasets are saved as asdf files ending in _maps.asdf. These behave similarly to Python dictionaries. They can be generated with the code at https://github.com/StijnDebackere/lensing_haloes/ The dictionary keys contain the true cosmological parameters for each dataset (omega_m, omega_b, h, n_s, w0, sigma_8), the minimum and maximum redshifts (z_min and z_max) and masses (log10_m_min and log10_m_max) for the halo sample that was used to fit the cosmology, the survey area, A_survey. The MAPs are saved for the WL (masses inferred from NFW profile with fixed concentration-mass relation fits to reduced shear and no uncertainty on the individual cluster masses), WL_c (masses inferred from NFW profile with free concentration fits to reduced shear and no uncertainty on the individual cluster masses) and true (unbiased halo masses and no uncertainty on the individual cluster masses) fitting methods. Each fitting method has the results for the mass cuts 14.0, 14.25 and 14.5 in m200m and the mixed Gaussian-Poisson likelihood (res_gaussian_poisson). For the stage IV-like dataset we also include the MAPs for cluster samples that include an uncertainty of 20% on the individual cluster masses. These are saved in the xxx_maps_sigma_log10m.asdf file under the xxx_scatter_20percent keys, only for the mass cut of 14.0 and the res_gaussian_poisson likelihood. There are MAPs for the fitting method including sigma_log10m as a free parameter (uniform_prior) or marginalizing over a Gaussian prior in sigma_log10m (gaussian_marginalize) with given mean (loc) and standard deviation (scale). For the stage III-like dataset, we also include all of the cluster samples. The halo sample dataset for the stage IV-like survey can be requested from Stijn Debackere (see arXiv:2101.07800 for contact information), since it exceeds the 50GB file limit.