WimPyDD: an object-oriented Python code for WIMP-nucleus scattering direct detection in virtually any scenario

TL;DR

WimPyDD is a flexible, object-oriented Python tool that accurately predicts WIMP-nucleus scattering rates for direct detection experiments across various scenarios, including complex interactions and velocity distributions.

Contribution

It introduces WimPyDD, a modular Python code capable of handling arbitrary effective operators and diverse scattering scenarios in WIMP direct detection.

Findings

Handles an arbitrary number of effective operators

Supports inelastic scattering and WIMPs with any spin

Accommodates generic Galactic halo velocity distributions

Abstract

We introduce WimPyDD, a modular, object-oriented and customisable Python code that accurately predicts the expected WIMP-nucleus scattering rates in WIMP direct-detection experiments including the response of the detector. WimPyDD utilises the framework of Galilean-invariant non-relativistic effective theory, allowing to handle an arbitrary number of effective operators, and can perform the calculation of the excepted rate in virtually any scenario, including inelastic scattering, WIMPs with an arbitrary spin, and a generic velocity distribution in the Galactic halo. The power and flexibility of WimPyDD is discussed in some explicit examples.