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Physics of The Earth and Planetary Interiors

Subject Areas: Geophysics
ISSN: 0031-9201
SJR: 119

Open Access

Journal Article

Stochastic Modeling of 3-D Compositional Distribution in the Crust with Bayesian Inference and Application to Geoneutrino Observation in Japan

Takeuchi, Nozomu; Ueki, Kenta; Iizuka, Tsuyoshi; Nagao, Jun; Tanaka, Akiko; Enomoto, Sanshiro; Shirahata, Yutaka; Watanabe, Hiroko; Yamano, Makoto; Tanaka, Hiroyuki K. M.

2019 High Energy Physics - Phenomenology

doi:10.1016/j.pepi.2019.01.002

Abstract: Geoneutrino observations, first achieved by KamLAND in 2005 and followed by Borexino in 2010, have accumulated statistics and improved sensitivity for more than ten years. The uncertainty of the geoneutrino flux at the surface is now reduced to a level small enough to set useful...
Open Access

Journal Article

Bifurcation in the growth of continental crust

Höning, Dennis; Tosi, Nicola; Hansen-Goos, Hendrik; Spohn, Tilman

2019 Astrophysics

doi:10.1016/j.pepi.2019.01.001

Abstract: Is the present-day water-land ratio a necessary outcome of the evolution of plate tectonic planets with a similar age, volume, mass, and total water inventory as the Earth? This would be the case - largely independent of initial conditions - if Earth's present-day continental volume...
Open Access

Journal Article

Dynamical effects of multiple impacts: Large impacts on a Mars-like planet

Ruedas, Thomas; Breuer, Doris

2019 Astrophysics

doi:10.1016/j.pepi.2019.01.003

Abstract: The earliest stage of the evolution of a fully assembled planet is profoundly affected by a number of basin-forming impacts large enough to change the dynamics of its deeper interior. These impacts are in some cases quite closely spaced and follow one another in short time intervals, so...
Open Access

Journal Article

Deep learning for seismic phase detection and picking in the aftershock zone of 2008 Mw7.9 Wenchuan earthquake

Zhu, Lijun; Peng, Zhigang; McClellan, James; Li, Chenyu; Yao, Dongdong; Li, Zefeng; Fang, Lihua

2019 Electrical Engineering and Systems Science

doi:10.1016/j.pepi.2019.05.004

Abstract: The increasing volume of seismic data from long-term continuous monitoring motivates the development of algorithms based on convolutional neural network (CNN) for faster and more reliable phase detection and picking. However, many less studied regions lack a significant amount of...

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