MINOT: Modeling the intracluster medium (non-)thermal content and
  observable prediction tools
  In the past decade, the observations of diffuse radio synchrotron emission
toward galaxy clusters revealed cosmic-ray (CR) electrons and magnetic fields
on megaparsec scales. However, their origin remains poorly understood, and
several models have been discussed in the literature. CR protons are also
expected to accumulate during the formation of clusters and probably contribute
to the production of these high-energy electrons. In order to understand the
physics of CRs in clusters, combining of observations at various wavelengths is
particularly relevant. The exploitation of such data requires using a
self-consistent approach including both the thermal and the nonthermal
components, so that it is capable of predicting observables associated with the
multiwavelength 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, called MINOT (modeling the intracluster medium (non-)thermal content
and observable prediction tools) and make this tool available to the community.
The multiwavelength observables are computed based on the relevant physical
process, according to the cluster location, and based on the sampling defined
by the user. We describe the implementation of MINOT 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 nonthermal physical processes for a wide
variety of datasets in the radio, millimeter, X-ray, and gamma-ray bands, as
well as the neutrino emission. [abridged]
