The AMIDAS Website: An Online Tool for Direct Dark Matter Detection Experiments

TL;DR

The paper introduces AMIDAS, an online platform that enables model-independent analysis and simulation of data from direct Dark Matter detection experiments, facilitating reconstruction of WIMP properties.

Contribution

It presents a comprehensive online tool that integrates simulation and data analysis for direct Dark Matter detection, enhancing accessibility and efficiency.

Findings

Enables full Monte Carlo simulations of Dark Matter experiments.

Allows analysis of real experimental data without source code modification.

Provides faster theoretical estimations of WIMP properties.

Abstract

Following our long-term work on development of model-independent data analysis methods for reconstructing the one-dimensional velocity distribution function of halo WIMPs as well as for determining their mass and couplings on nucleons by using data from direct Dark Matter detection experiments directly, we combined the simulation programs to a compact system: AMIDAS (A Model-Independent Data Analysis System). For users' convenience an online system has also been established at the same time. AMIDAS has the ability to do full Monte Carlo simulations, faster theoretical estimations, as well as to analyze (real) data sets recorded in direct detection experiments without modifying the source code. In this article, I give an overview of functions of the AMIDAS code based on the use of its website.