Context. The moon is an accessible differentiated planetary body which provides insight into theformation and differentiation of inner solar system bodies. NASA’s Apollo program conducted severalexploration and sample return missions to better understand our natural satellite, five of which includingpassive seismology experiments.

Aims. Test the viability of seismic interferometry methods on lunar seismic data and recover theMoon’s internal structure.

Method. Cross-correlations and auto-correlations between the different seismometers deployed bythe Apollo missions are computed and analyzed. The seismic interferometry method is applied to thecoda of seismic events detected by the Apollo seismic network. The events are selected based on theirquality and the presence or lack of significant gaps in the data. Auto-correlations are computed ondata whitened using 1-bit normalization. Each event is processed independently. Signal to Noise Ratio(SNR) is calculated by comparing the envelope of the stacked autocorrelation and the variance betweenevents. An additional data selection step is added in order to exclude events that do not present anenhancement of frequencies at which the seismometer is most sensitive. Additional validation tests areimplemented to ensure that the detected arrivals are not due to data artifacts at a given periodicity.

Results. Auto-correlations of vertical components present arrivals in the 27-80s time range which areconsistent between two Apollo stations. These arrivals are interpreted in terms of seismic waves reflectedon crust and mantle interfaces. A preliminary crust and mantle model of these interfaces is deducedand validated by comparing vertical and horizontal auto-correlation results.