TY - JOUR
T1 - Object detection in multi-epoch data
AU - Jogesh Babu, G.
AU - Mahabal, A.
AU - Djorgovski, S. G.
AU - Williams, R.
N1 - Funding Information:
The first author was supported in part by the National Science Foundation grants AST-0434234 and AST-0326524. The second, third and fourth authors were supported in part by the National Science Foundation grants AST-0326524 and AST-0407448.
PY - 2008/7
Y1 - 2008/7
N2 - 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.
AB - 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.
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U2 - 10.1016/j.stamet.2008.02.003
DO - 10.1016/j.stamet.2008.02.003
M3 - Article
AN - SCOPUS:44649131894
SN - 1572-3127
VL - 5
SP - 299
EP - 306
JO - Statistical Methodology
JF - Statistical Methodology
IS - 4
ER -