Astronomy and Astrophysics – Astronomy
Scientific paper
Dec 2008
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2008aipc.1082..317c&link_type=abstract
CLASSIFICATION AND DISCOVERY IN LARGE ASTRONOMICAL SURVEYS: Proceedings of the International Conference: ``Classification and Di
Astronomy and Astrophysics
Astronomy
Atomic Masses, Mass Spectra, Abundances, And Isotopes, Relativity And Gravitation, Dark Matter
Scientific paper
We discuss the non-parametric Bayesian algorithm CHASSIS that seeks the most likely gravitational potential structure and phase space distribution of a system, from which a measured sample of kinematic data is drawn. The quantification of the influence of the assumption of phase space isotropy, which is a feature of the current version of CHASSIS, is discussed in the context of a Bayesian test of significance. Relaxation of this assumption and possibility of thwarting the malefic influence of the same, using data from independent sources, are discussed.
No associations
LandOfFree
A Novel Bayesian Mass Determination Algorithm does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with A Novel Bayesian Mass Determination Algorithm, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and A Novel Bayesian Mass Determination Algorithm will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-1099951