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We introduce WimPyDD, a modular, object-oriented and customizable Python codethat calculates accurate predictions for the expected rates in WeaklyInteracting Massive Particle (WIMP) direct-detection experiments within theframework of Galilean-invariant non-relativistic effective theory in virtuallyany scenario, including inelastic scattering, an arbitrary WIMP spin and ageneric WIMP velocity distribution in the Galactic halo. WimPyDD exploits thefactorization of the three main components that enter in the calculation ofdirect detection signals: i) the Wilson coefficients that encode the dependenceof the signals on the ultraviolet completion of the effective theory; ii) aresponse function that depends on the nuclear physics and on the main featuresof the experimental detector (acceptance, energy resolution, response tonuclear recoils); iii) a halo function that depends on the WIMP velocitydistribution and that encodes the astrophysical inputs. In WimPyDD these threecomponents are calculated and stored separately for later interpolation andcombined together only as the last step of the signal evaluation procedure.This makes the phenomenological study of the direct detection scattering ratewith WimPyDD transparent and fast also when the parameter space of the WIMPmodel has a large dimensionality.

WimPyDD: an object-oriented Python code for the calculation of WIMP direct detection signals