Wednesday, August 15, 2012

Chemical differentiation of planets: a core issue - new Larin's paper

Chemical differentiation of planets: a core issue

Herve Toulhoat (1), Valerie Beaumont (1), Viacheslav Zgonnik (1), Nikolay Larin (2), Vladimir N. Larin (3) ((1) IFP Energies nouvelles, Rueil-Malmaison Cedex, France, (2) Russian Academy of Science, Schmidt Institute of Physics of the Earth, Moscow, Russia, (3) Lomonosov Moscow State University, Moscow, Russia)
Prevalent theories of the Solar System formation minimize the role of matter ionization and magnetic field in the Solar nebula. Here we propose that a magnetically driven chemical gradient at the scale of the Solar nebula predates radial chemical differentiation of each planet. We report an observed correlation between the first ionization potentials of the elements and their abundances on Earth surface relative to Sun, interpreted as a Boltzmann distribution depending on the distance from the Sun. This predictive model for distribution of the elements in the Solar System is successfully tested for relative abundance data from CI chondrites, Moon, Mars and Venus. Deviations from the proposed law for a given planet correspond to surface segregation of elements following periodic trends. Bulk Earth would have included up to 18%wt H, with definite consequences on theories about inner Earth composition. From this model, a new picture of the Solar System emerges.

Source: http://arxiv.org/abs/1208.2909 

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Igor Trubin began his engineering career in 1979 as an IBM/370 systems engineer. He earned a Ph.D. in Robotics from St. Petersburg Technical University in 1986 and spent 12 years there as a professor teaching CAD/CAM and Robotics. He has published and presented more than 60 technical papers and conference presentations in robotics, artificial intelligence, IT performance, capacity management, anomaly detection, and FinOps. After moving to the U.S. in 1999, Igor worked at Capital One, IBM, and SunTrust Bank in senior engineering, architecture, and management roles. His 2002 CMG paper on exception detection received a Best Paper Award. He later developed Perfomalist.com, based on his original methods for anomaly, change-point, and trend detection, and created the online course “Performance Anomaly Detection.” At Capital One, he led development of cloud capacity-management and FinOps solutions, including the award-winning OptiCloud application. He has served on the CMG Board of Directors since 2015. Now semi-retired, Igor focuses on research, writing, and consulting. His current work expands his concept of the “Area of Normal Functioning” (ANF) from technical systems to human, orga