Axion-like particles (ALPs) arise from well-motivated extensions to the Standard Model and
could account for the dark matter. We discuss the scaling of the sensitivity of a galactic ALP
dark matter search with the number of sensors, especially in the ultra-light mass regime, where
the measurement time is shorter than the coherence time of the ALP field. We compare multiple
schemes for daily modulated ALP gradient signals, and show that increasing the number of sensors
from 1 to 2 improves the signal-to-noise ratio (SNR) by a factor of 2-3. For more than two sensors,
the SNR increases as the square root of the number of sensors. Then, we show that splitting the
data into subsets and then averaging its Discrete Fourier Transforms (DFTs) is equivalent to the
DFT of the whole dataset in terms of SNR.