Computer Science – Numerical Analysis
Scientific paper
Apr 1994
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1994p%26ss...42..279d&link_type=abstract
Planetary and Space Science, vol. 42, no. 4, p. 279-284
Computer Science
Numerical Analysis
1
Astronomical Models, Brightness Distribution, Comets, Distance, Perihelions, Statistical Analysis, Trend Analysis, Maximum Likelihood Estimates, Mean Square Values, Numerical Analysis
Scientific paper
The brightness distributions of long-period comets with P greater than 200 years, and those short-period comets with P less than 15 years (Jupiter family of comets) were modeled by Pareto power-law distributions. The models were fitted using maximum likelihood methods and analyzed by a new trend analysis approach. The long-period comets were divided into a number of physical parameter ranges, notably by perihelion, inverse semi-major axis and discovery date, and examined for appropriate physical trends. Similarly, the short-period comets were examined for trends and compared with the long-period comets. Overwhelming evidence was found that the brightness indices increase with discovery date for the long-period comets. There was no statistical evidence that the brightness distribution of the long-period comets significantly altered as the 1/a values decreased. No trends were apparent in the brightness of long-period comets in terms of their perihelion distance for perihelia less than 2.5 a.u.
No associations
LandOfFree
Statistical trends in cometary magnitude data 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 Statistical trends in cometary magnitude data, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Statistical trends in cometary magnitude data will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-1261466