# Applying the matched-filter technique to the search for dark matter transients with networks of quantum sensors

## TL;DR

This paper proposes a matched-filter detection method for identifying macroscopic dark matter transients using existing quantum sensor networks, demonstrated with GPS atomic clocks, and applicable to various sensor networks.

## Contribution

It introduces a novel detection strategy for dark matter transients using the matched-filter technique on quantum sensor networks, including GPS clocks.

## Key findings

- Effective detection of simulated dark matter transients demonstrated.
- Method applicable to various quantum sensor networks.
- Potential to enhance dark matter search capabilities.

## Abstract

There are several networks of precision quantum sensors in existence, including networks of atomic clocks, magnetometers, and gravitational wave detectors. These networks can be re-purposed for searches of exotic physics, such as direct dark matter searches. Here we explore a detection strategy for macroscopic dark matter objects with such networks using the matched-filter technique. Such "clumpy" dark matter objects would register as transients sweeping through the network at galactic velocities. As a specific example, we consider a network of atomic clocks aboard the Global Positioning System (GPS) satellites. We apply the matched-filter technique to simulated GPS atomic clock data and study its utility and performance. The analysis and the developed methodology have a wide applicability to other networks of quantum sensors.