A search for the minimum number of stations needed for seismic networking on Mars

Abstract

The efficiency of a seismic network in providing information on the rate of seismicity, and on the inner structure of Mars, is estimated through a statistical analysis which takes into account the possible existence of a liquid core, the expected low rate of seismicity of Mars when compared to the Earths, and the attenuating properties of the mantle. The tests are performed for two frequency ranges (0.1–1.0 Hz and 0.5–2.5 Hz), for three instrumental noise amplitude densities ranging from 5 to 500×10−10 m s−2 Hz−1/2, and for three network configurations consisting of 4, 12 and 16 stations. Travel time tables are computed for P, S, PcP, ScS, and PKP phases using a simplified three layer model. Present-day estimates of liquid core radius induce a 25° wide shadow zone beginning at epicentral distances larger than 110°. Consequently, the best detection efficiency which can be expected from any network is of the order of 60% for mantle body waves. The detection efficiency is primarily controlled by the instrumental noise level. Since the amplitude of mantle body waves rapidly decreases with epicentral distance, high noise level instruments can only detect local events. Therefore, the detection score attained by 4 highly sensitive stations can be up to 30 and 7 times better than the score attained by 12 high noise level sensors, for mantle P and S waves, respectively. If crustal scattering is negligible, the record of mantle P waves on a network consisting of four low noise level instruments would permit to sample Mars mantle down to the core-mantle boundary. Conversely, the deepest penetration of rays recorded by a network of 12 high noise level sensors would hardly reach 300 km. In fact, strong crustal scattering might be the most important difficulty to be encountered in a seismic exploration of Mars. A possibility to deal with this problem would be to associate each of the four low noise instruments with three medium noise level sensors. This network strategy might permit to sample P and S mantle waves travelling down to 400–600 km, even if a lot of seismic energy is lost through crustal scattering.