The expectation maximization algorithm applied to the search of point sources of astroparticles

Details The expectation maximization algorithm applied to the search of point sources of astroparticles The expectation maximization algorithm applied to the search of point sources of astroparticles

Mar 2008

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2008aph....29..117a&link_type=abstract

Astroparticle Physics, Volume 29, Issue 2, p. 117-124.

Other

12

Mathematical Procedures And Computer Techniques, Neutrino, Muon, Pion, And Other Elementary Particles, Cosmic Rays, Data Analysis: Algorithms And Implementation, Data Management, Neutrino, Muon, Pion, And Other Elementary Particle Detectors, Cosmic Ray Detectors

Scientific paper

The expectation maximization algorithm, widely employed in cluster and pattern recognition analysis, is proposed in this article for the search of point sources of astroparticles. We show how to adapt the method for the particular case in which a faint source signal over a large background is expected. In particular, the method is applied to the point source search in neutrino telescopes. A generic neutrino telescope of an area of 1 km2 located in the Mediterranean Sea has been simulated. Results in terms of minimum detectable number of events are given and the method is compared advantageously with the results of a classical method with binning.

Affiliated with

Also associated with

No associations

Rating

The expectation maximization algorithm applied to the search of point sources of astroparticles 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 The expectation maximization algorithm applied to the search of point sources of astroparticles, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and The expectation maximization algorithm applied to the search of point sources of astroparticles will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-1037969