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| Paper: |
Improving Catalog Matching with Photometry |
| Volume: |
485, Astronomical Data Analysis Software and Systems XXIII |
| Page: |
215 |
| Authors: |
Márquez, M. J.; Budavári, T.; Sarro, L. M. |
| Abstract: |
The problem of identifying the same astronomical source in different
exposures and across instruments has long been studied for its
statistical and computational complexity. We typically consider the
coordinates of the sources in the sky to decide whether they belong to
the same object, but crowded areas often yield degenerate cases when
multiple matching configurations which are possible have similar
likelihoods. This paper introduces a Bayesian approach for
multi-wavelength that utilizes photometric measurements to find
the best possible associations. The Spectral Energy Distributions (SEDs)
are included in statistical hypothesis testing through a template
library, and the photometric Bayes Factor is directly combined with the
evidence obtained from the astrometric data. We describe the
implementation and discuss the preliminary results from simulated and
the real COSMOS catalog. |
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