Identification of cosmic ray electrons and positrons by neural networks

Details Identification of cosmic ray electrons and positrons by neural networks Identification of cosmic ray electrons and positrons by neural networks

Aug 1996

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1996aph.....5..111a&link_type=abstract

ASTROPARTICLE PHYSICS, Volume 5, Issue 2, p. 111-117.

Physics

4

Scientific paper

A data analysis based on artificial neural network classifiers has been done to identify cosmic ray electrons and positrons detected with the balloon-borne NMSU/Wizard-TS93 experiment. The information is provided by two ancillary and independent particle detectors: a transition radiation detector and a silicon-tungsten imaging calorimeter. Electrons and positrons measured during the flight have been identified with background rejection factors of 80+/-3 and 500+/-37 at signal efficiencies of 72+/-3% and 86+/-2% for the transition radiation detector and silicon-tungsten imaging calorimeter, respectively. The ability of the artificial neural network classifiers to perform a careful multidimensional analysis surpasses the results achieved by conventional methods.

Affiliated with

Also associated with

No associations

Rating

Identification of cosmic ray electrons and positrons by neural networks 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 Identification of cosmic ray electrons and positrons by neural networks, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Identification of cosmic ray electrons and positrons by neural networks will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-1448066