Statistics – Methodology
Scientific paper
Aug 2008
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2008aspc..394..165b&link_type=abstract
Astronomical Data Analysis Software and Systems ASP Conference Series, Vol. 394, Proceedings of the conference held 23-26 Septem
Statistics
Methodology
Scientific paper
We present the general probabilistic formalism for cross-identifying astronomical point sources in multiple observations. Our Bayesian approach is the foundation of a unified framework of object matching, where on top of the spatial information, physical properties can be also considered, such as colors, redshift and luminosity. The new methodology is crucial for multi-wavelength studies leveraging the synergy of today's multi-wavelength observations and to enter the time-domain science of the upcoming survey telescopes.
Budavari Tamas
Nieto-Santisteban Maria
Szalay Alex S.
No associations
LandOfFree
Probabilistic Cross-Identification of Astronomical Sources 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 Probabilistic Cross-Identification of Astronomical Sources, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Probabilistic Cross-Identification of Astronomical Sources will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-1690860