Mining the CFHT Legacy Survey for known Near Earth Asteroids

Astronomy and Astrophysics – Astrophysics – Earth and Planetary Astrophysics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Accepted in Astron. Nachr. (10 pags)

Scientific paper

10.1002/asna.201011550

The Canada-France-Hawaii Legacy Survey (CFHTLS) comprising about 25 000 MegaCam images was data mined to search for serendipitous encounters of known Near Earth Asteroids (NEAs) and Potentially Hazardous Asteroids (PHAs). A total of 143 asteroids (109 NEAs and 34 PHAs) were found on 508 candidate images which were field corrected and measured carefully, and their astrometry was reported to Minor Planet Centre. Both recoveries and precoveries (apparitions before discovery) were reported, including data for 27 precovered asteroids (20 NEAs and 7 PHAs) and 116 recovered asteroids (89 NEAs and 27 PHAs). Our data prolonged arcs for 41 orbits at first or last opposition, refined 35 orbits by fitting data taken at one new opposition, recovered 6 NEAs at their second opposition and allowed us to ameliorate most orbits and their Minimal Orbital Intersection Distance (MOID), an important parameter to monitor for potential Earth impact hazard in the future.

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

Mining the CFHT Legacy Survey for known 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 Mining the CFHT Legacy Survey for known Near Earth Asteroids, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Mining the CFHT Legacy Survey for known Near Earth Asteroids will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-565348

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