Statistics – Methodology
Scientific paper
Jul 2008
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2008stmet...5..299j&link_type=abstract
Statistical Methodology, Volume 5, Issue 4, p. 299-306.
Statistics
Methodology
Scientific paper
In astronomy multiple images are frequently obtained at the same position of the sky for follow-up coaddition as it helps one go deeper and look for fainter objects. With large scale panchromatic synoptic surveys becoming more common, image co-addition has become even more necessary as new observations start to get compared with coadded fiducial sky in real time. The standard coaddition techniques have included straight averages, variance weighted averages, medians etc. A more sophisticated nonlinear response chi-square method is also used when it is known that the data are background noise limited and the point spread function is homogenized in all channels. A more robust object detection technique capable of detecting faint sources, even those not seen at all epochs which will normally be smoothed out in traditional methods, is described. The analysis at each pixel level is based on a formula similar to Mahalanobis distance.
Djorgovski Stanislav G.
Jogesh Babu G.
Mahabal Ashish A.
Williams Richard
No associations
LandOfFree
Object detection in multi-epoch 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 Object detection in multi-epoch data, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Object detection in multi-epoch data will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-795444