AMIDAS-II: Upgrade of the AMIDAS package and website for direct Dark Matter detection experiments and phenomenology

In this paper, we give a detailed user’s guide to the AMIDAS  (A Model-Independent Data Analysis System) package and website, which is developed for online simulations and data analyses for direct Dark Matter detection experiments and phenomenology. Recently, the whole AMIDAS  package and website system has been upgraded to the second phase: AMIDAS-II, for including the new developed Bayesian analysis technique.  has the ability to do full Monte Carlo simulations as well as to analyze real/pseudo data sets either generated by another event generating programs or recorded in direct DM detection experiments. Moreover, the AMIDAS-II  package can include several “user-defined” functions into the main code: the (fitting) one-dimensional WIMP velocity distribution function, the nuclear form factors for spin-independent and spin-dependent cross sections, artificial/experimental background spectrum for both of simulation and data analysis procedures, as well as different distribution functions needed in Bayesian analyses.