Transfer Functions for the DAMA Experiments

TL;DR

This paper analyzes the DAMA experiment data by computing transfer functions to understand the relationship between input signals and detected signals, revealing that transfer functions are generally small except near 1 cycle per year.

Contribution

The study introduces a detailed analysis of the amplitude and power transfer functions for DAMA data, highlighting their behavior across different frequencies.

Findings

Transfer functions are small across most frequencies.

Significant transfer function values occur near 1 cycle per year.

Analysis helps interpret DAMA experiment sensitivity.

Abstract

We examine what can and what cannot be revealed by the available DAMA dataset by computing the relevant amplitude transfer function (the ratio of the amplitude of the detected signal to that of an input signal) and the corresponding power transfer function. We find that the transfer functions are small except in the neighborhood of 1 cycle per year.