MINOT: Modeling of the Intra-cluster medium (Non-)thermal content and Observables prediction Tools

During the last decade, the observations of diffuse radio synchrotron emission towards galaxy clusters have revealed the presence of cosmic ray (CR) electrons and magnetic fields on Mpc scales. However, their origin remains poorly understood to date, and several models have been discussed in the literature. CR protons are also expected to accumulate during the formation of clusters and should contribute to the production of these high energy electrons. In order to understand the physics of CR in clusters, the combining of observations at various wavelengths is particularly relevant. The exploitation of such data requires to use a self-consistent approach including both the thermal and the non-thermal components, capable of predicting observables associated to the multi-wavelength probes at play, in particular in the radio, millimeter, X-ray and gamma-ray bands. We develop and describe such a self-consistent modeling framework named MINOT (Modeling of the Intra-cluster medium (Non-)thermal content and Observables prediction Tools) and make this tool available to the community. The multi-wavelength observables are computed given the relevant physical process, according to the cluster location, and given the sampling defined by the user. We describe the way MINOT is implemented and how to use it. We also discuss the different assumptions and approximations that are involved, and provide various examples regarding the production of output products at different wavelengths. As an illustration, we model the clusters A1795, A2142 and A2255 and compare the MINOT predictions to literature data. MINOT can be used to model the cluster thermal and non-thermal physical processes for a wide variety of datasets in the radio, millimeter, X-ray and gamma-ray bands, as well as the neutrinos emission. [abridged]