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Cross-Matching Multiple Spatial
Observations and Dealing with Missing
Data
December 1, 2006
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Download PDF
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BibTex
Authors

Jim Gray
Publication Type
TechReport
Pages
7
Number
MSR-TR-2006-175

Abstract

Related Info
Abstract
Cross-match spatially clusters and organizes several astronomical point-source measurements
from one or more surveys. Ideally, each object would be found in each survey. Unfortunately,
even some stationary objects are missing in some observations; sometimes objects have a
variable light flux and sometimes the seeing is worse. In most cases we are faced with a
substantial number of differences in object detections between surveys and between observations
taken at different times within a survey. Dealing with such missing observations is a difficult
problem. The first step is to classify misses as ephemeral – when the object moved or simply
disappeared, masked – when noise hid or corrupted the object observation, or edge – when
the object was near the edge of the observational field. This classification and a spatial library to
represent and manipulate observational footprints help construct a Match table recording both
hits and misses. Transitive closure clusters friends-of-friends into object bundles. The bundle
summary statistics are recorded in a Bundle table. This design is an evolution of the Sloan
Digital Sky Survey cross-match design that compared overlapping observations taken at different
times.
Related Info
Related Files
 tr-2006-175.doc
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