# Macroscopic Dark Matter Constraints from Bolide Camera Networks

## TL;DR

This paper uses bolide camera networks to set constraints on macroscopic dark matter candidates by analyzing the absence of macro-induced bolide events in atmospheric observations.

## Contribution

It introduces a novel method to constrain low-mass macros using existing meteor observation networks and estimates the potential of future upgrades.

## Key findings

- Null observations place new constraints on macro parameter space.
- Current networks can already exclude certain macro masses and cross sections.
- Planned upgrades could significantly improve detection sensitivity.

## Abstract

Macroscopic dark matter (macros) are a broad class of alternative candidates to particle dark matter. These candidates would transfer energy primarily through elastic scattering, and this linear energy deposition would produce observable signals if a macro were to pass through the atmosphere. We produce constraints for low mass macros from the null observation of bolides formed by a passing macro, across two extensive networks of cameras built originally to observe meteorites. The parameter space that could be probed with planned upgrades to the existing array of cameras in one of these networks still currently in use, the Desert Fireball Network in Australia, is estimated.