An Automated Scheme for the Large-Scale Survey of Herbig-Haro Objects

Astronomy and Astrophysics – Astronomy

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

3

Ism: Herbig-Haro Objects, Methods: Data Analysis, Methods: Miscellaneous

Scientific paper

Owing to their spectral properties, Herbig-Haro (HH) objects can be discovered using photometric methods through a combination of filters, sampling the characteristic spectral lines and the nearby continuum. The data are commonly processed through direct visual inspection of the images. To make data reduction more efficient and the results more uniform and complete, an automated searching scheme for HH objects is developed to manipulate the images using IRAF. This approach helps to extract images with only intrinsic HH emissions. By using this scheme, the pointlike stellar sources and extended nebulous sources with continuum emission can be eliminated from the original images. The objects with only characteristic HH emission become prominent and can be easily picked up. In this paper our scheme is illustrated by a sample field and has been applied to our surveys for HH objects.

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 Automated Scheme for the Large-Scale Survey of Herbig-Haro Objects 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 Automated Scheme for the Large-Scale Survey of Herbig-Haro Objects, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and An Automated Scheme for the Large-Scale Survey of Herbig-Haro Objects will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-962340

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