Computer Science – Numerical Analysis
Scientific paper
Oct 1976
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1976anah.iafcq....v&link_type=abstract
International Astronautical Federation, International Astronautical Congress, 27th, Anaheim, Calif., Oct. 10-16, 1976, 5 p.
Computer Science
Numerical Analysis
Computer Techniques, Milky Way Galaxy, Monte Carlo Method, Probability Density Functions, Star Distribution, Computerized Simulation, Curve Fitting, Histograms, Numerical Analysis, Stellar Magnitude
Scientific paper
A description is given of a method for generating and deriving the probability distribution of the stars in the Milky Way. Three separate techniques are considered. These techniques include a unit magnitude approach, a unit star approach, and an analytic derivation technique. An inverse square probability density curve fit is performed on both the unit magnitude and unit star histograms. The techniques make it possible to generate the probability density functions for the Milky Way Galaxy for any galactic latitude and longitude for visible magnitudes between 6 and 18, with extensions to the 23rd visible magnitude for the two Monte Carlo approaches.
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