Probabilistic Cross-Identification of Cosmic Events

Details Probabilistic Cross-Identification of Cosmic Events Probabilistic Cross-Identification of Cosmic Events

2011-02-27

arxiv.org/abs/1102.5512v2

Astronomy and Astrophysics

Astrophysics

Cosmology and Extragalactic Astrophysics

5 pages, 2 figures, accepted to ApJ

Scientific paper

We discuss a novel approach to identifying cosmic events in separate and independent observations. In our focus are the true events, such as supernova explosions, that happen once, hence, whose measurements are not repeatable. Their classification and analysis have to make the best use of all the available data. Bayesian hypothesis testing is used to associate streams of events in space and time. Probabilities are assigned to the matches by studying their rates of occurrence. A case study of Type Ia supernovae illustrates how to use lightcurves in the cross-identification process. Constraints from realistic lightcurves happen to be well-approximated by Gaussians in time, which makes the matching process very efficient. Model-dependent associations are computationally more demanding but can further boost our confidence.

Affiliated with

Also associated with

No associations

Rating

Probabilistic Cross-Identification of Cosmic Events 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 Cosmic Events, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Probabilistic Cross-Identification of Cosmic Events will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-54088