Physics
Scientific paper
Oct 1997
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1997aph.....7..315m&link_type=abstract
ASTROPARTICLE PHYSICS, Volume 7, Issue 4, p. 315-327.
Physics
3
Scientific paper
Methods of selecting small candidate gamma-ray events obtained using the Imaging Atmospheric Cherenkov Technique are presented. Three approaches are described: a variant of the standard `Supercuts' analysis technique, a parameter weights approach, and a neural network approach. A cut on the parameter combination Length/Size is developed and shown to be effective at rejecting background due to muons. The techniques are applied to observations of Markarian 421 taken during 1995 and 1996 with the Whipple 10 m reflector. The efficiency and stability of the three approaches are compared, and the Supercuts variant is shown to be the most robust. A signal is detected in the energy range 170 GeV to 300 GeV at a significance level of 6.5 sigma, in 7 hours of observation (the standard analysis gives 15.2 sigma for E>300 GeV). This represents the first significant detection of a source at an energy threshold below 200 GeV using the Whipple 10 m system.
Buckley James H.
Catanese Michael
Fegan David J.
Krennrich Frank
Masterson C.
No associations
LandOfFree
Strategies for selection of small gamma-ray showers using the Imaging Atmospheric Cherenkov Technique 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 Strategies for selection of small gamma-ray showers using the Imaging Atmospheric Cherenkov Technique, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Strategies for selection of small gamma-ray showers using the Imaging Atmospheric Cherenkov Technique will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-1769045