An iterative Monte Carlo method for finding virtual impactors among near-Earth asteroids

Mathematics – Logic

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Nea, Virtual Impactor, Monte Carlo Method

Scientific paper

We propose an iterative method for finding virtual impactors of a near-Earth asteroid, for a specific close encounter with the Earth. It combines the Monte Carlo sampling technique with some topologic analysis performed in the six-dimensional space of initial confidence region and on the target plane at the time of impact. The idea is to isolate, as closely as possible, the subregion containing all virtual impactors. If we keep traces on the size of the isolated area, we can estimate the associated impact probability and the related hazard quantities. The total number of sampling points is several orders of magnitude lower than the inverse of the impact probability to be computed, as it might be expected from a standard Monte Carlo approach. The efficiency and convergence of the method are discussed and several examples on real NEAs are given.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

An iterative Monte Carlo method for finding virtual impactors among near-Earth asteroids 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 An iterative Monte Carlo method for finding virtual impactors among near-Earth asteroids, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and An iterative Monte Carlo method for finding virtual impactors among near-Earth asteroids will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-738254

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.