Fossil signatures using elemental abundance distributions and Bayesian probabilistic classification

2004 ◽  
Author(s):  
Michael C. Storrie-Lombardi ◽  
Richard B. Hoover
Keyword(s):  
Elemental Abundance ◽  
Probabilistic Classification

Probabilistic classification of elemental abundance distributions in Nakhla and Apollo 17 lunar dust samples

2006 ◽  
Author(s):  
Michael C. Storrie-Lombardi ◽  
Richard B. Hoover ◽  
Mian Abbas ◽  
G. Jerman ◽  
J. Coston ◽  
...  
Keyword(s):  
Elemental Abundance ◽  
Lunar Dust ◽  
Probabilistic Classification

scholarly journals Core Collapse Supernova Models and Nucleosynthesis

2013 ◽  
Vol 9 (S296) ◽  
pp. 27-36
Author(s):  
Ken'ichi Nomoto
Keyword(s):  
Big Bang ◽  
Elemental Abundance ◽  
Core Collapse ◽  
Solar Abundance ◽  
First Stars ◽  
Abundance Pattern ◽  
Core Collapse Supernova ◽  
Abundance Patterns ◽  
Supernova Explosions ◽  
The Big Bang

AbstractAfter the Big Bang, production of heavy elements in the early Universe takes place in the first stars and their supernova explosions. The nature of the first supernovae, however, has not been well understood. The signature of nucleosynthesis yields of the first supernovae can be seen in the elemental abundance patterns observed in extremely metal-poor stars. Interestingly, those abundance patterns show some peculiarities relative to the solar abundance pattern, which should provide important clues to understanding the nature of early generations of supernovae. We review the recent results of the nucleosynthesis yields of massive stars. We examine how those yields are affected by some hydrodynamical effects during the supernova explosions, namely, explosion energies from those of hypernovae to faint supernovae, mixing and fallback of processed materials, asphericity, etc. Those parameters in the supernova nucleosynthesis models are constrained from observational data of supernovae and metal-poor stars.

Common approximations in many-body systems

1969 ◽  
Vol 47 (8) ◽  
pp. 847-852 ◽  
Author(s):  
M. Revzen ◽  
L. E. H. Trainor
Keyword(s):  
Physical Interpretation ◽  
Classification Scheme ◽  
Random Phase ◽  
New Method ◽  
Many Body ◽  
Fundamental Nature ◽  
Probabilistic Classification ◽  
Many Body Systems

A new way of presenting the random phase and ladder approximations is introduced which provides a convenient, probabilistic classification scheme and makes the fundamental nature of these approximations transparent. The physical interpretation of these approximations is reviewed in the light of this new method of presentation and the natural propagators to be associated with each approximation are discussed.

Probabilistic Classification of Age by Third Molar Development: The Use of Soft Evidence

2012 ◽  
Vol 58 (1) ◽  
pp. 51-59 ◽  
Author(s):  
Fabio Corradi ◽  
Vilma Pinchi ◽  
Iljà Barsanti ◽  
Stefano Garatti
Keyword(s):  
Third Molar ◽  
Probabilistic Classification

Medication impairs probabilistic classification learning in Parkinson's disease

2010 ◽  
Vol 48 (4) ◽  
pp. 1096-1103 ◽  
Author(s):  
Marjan Jahanshahi ◽  
Leonora Wilkinson ◽  
Harpreet Gahir ◽  
Angeline Dharminda ◽  
David A. Lagnado
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Classification Learning ◽  
Probabilistic Classification
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