An inquiry into the lunar interior: A nonlinear inversion of the Apollo lunar seismic data
By Amir Khan, Klaus Mosegaard. 2002
143 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Astronomy and Astrophysics
View Paper: https://www.semanticscholar.org/paper/e43f40962c2e200b335c026694fe00a3235b2973
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In Artificial Intelligence
In Astronomy and Astrophysics
- Mark A. Wieczorek
- F. Nimmo
- Maria T. Zuber
- Doris Breuer
- P. McGovern
- David E. Smith
- Walter S. Kiefer
- Nicola Tosi
Citations in the corpus
- Thickness of the Martian crust: Improved constraints from geoid-to-topography ratios (2004, methodology): “Khan and Mosegaard, 2002; Lognonne ´e t al., 2003].”
- Asymmetric thermal evolution of the Moon (2012, background): “Here we assume a constant thickness of 40 km [Khan and Mosegaard, 2002; Lognonné et al., 2003; Wieczorek et al., 2013] and a thermal conductivity of kc = 1.5 W m–1 K–1 in order to account for the presence of low-conductivity megaregolith.”
- GRAIL gravity constraints on the vertical and lateral density structure of the lunar crust (2014, background): “The latter is a Bayesian model and displays contour lines defining equal-sized probability density intervals for the velocity distribution [Khan and Mosegaard, 2002].”
- Joint inversion of seismic and gravity data for lunar composition and thermal state (2007, background): “Given the much increased computer capabilities over the last 25 yr, the Apollo lunar seismic data have become the focus of renewed interest, enabling the acquisition of previously unobtainable information (Khan et al. 2000; Khan & Mosegaard 2002; Lognonn´ e et al. 2003; Bulow et al. 2005; Nakamura”