xmm_simulator generates mock XMM-Newton images and spectra from 3D galaxy cluster simulations from hydrodynamical simulations. It generates particle background spectra from filter-wheel-closed data, a realistic sky background model, energy-dependent vignetting, energy redistribution, and PSF convolution. Users can extract lists of simulated events, corresponding photon images, exposure maps, non-X-ray background maps, and spectra with redistribution matrices and weighted ancillary responses. xmm_simulator also includes tools to sum maps from multiple instruments and to organize simulation outputs into FITS files suitable for further analysis.

Hydromass analyzes galaxy cluster mass profiles from X-ray and/or Sunyaev-Zel’dovich observations. It provides a global Bayesian framework for deprojection and mass profile reconstruction, including mass model fitting, forward fitting with parametric and polytropic models, and non-parametric log-normal mixture reconstruction. Hydromass easily loads public X-COP data products and applies reconstruction tools directly within a Jupyter notebook.

minot (Modeling of the ICM (Non-)thermal content and Observables prediction Tools) provides a self-consistent modeling framework for the thermal and non-thermal diffuse components in galaxy clusters and predictions multi-wavelength observables. The framework sets or modifies the cluster object according to set parameters and defines the physical and observational properties, which can include thermal gas and CR physics, tSZ, inverse Compton, and radio synchotron. minot then generates outputs, including model parameters, plots, and relationships between models.