  Atom interferometers offer promising new avenues for detecting ultra-light
dark matter (ULDM). The exceptional sensitivity of atom interferometers to
fluctuations in the local gravitational potential exposes them to sources of
noise from human (anthropogenic) and animal (synanthropic) activity, which may
obscure signals from ULDM. We characterise potential anthropogenic and
synanthropic noise sources and examine their influence on a year-long
measurement campaign by AION-10, an upcoming atom interferometer experiment
that will be located at the University of Oxford. We propose a data cleaning
framework that identifies and then masks anthropogenic and synanthropic noise.
With this framework, we demonstrate that even in noisy conditions, the
sensitivity to ULDM can be restored to within between 10% and 40% of an atom
shot noise-limited experiment, depending on the specific composition of the
anthropogenic and synanthropic noise. This work provides an important step
towards creating robust noise reduction analysis strategies in the pursuit of
ULDM detection with atom interferometers.

Cosmology and Nongalactic Astrophysics;High Energy Physics - Experiment;High Energy Physics - Phenomenology;Atomic Physics