Detecting Weak Gamma-ray Pulsars with Photon Probability Weighting

Statistics – Applications

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Telescopes, Diffusion, Spectral Analysis, Monte Carlo Methods, X- And Gamma-Ray Telescopes And Instrumentation, Convection, Turbulence, And Diffusion, Luminosities, Magnitudes, Effective Temperatures, Colors, And Spectral Classification, Applications Of Monte Carlo Methods

Scientific paper

γ-ray telescopes cannot focus incident high-energy radiation, and the background emission from sources nearby in projection can obscure the periodic emission from pulsars, making unambiguous detection of pulsations difficult. In the context of the Fermi Large Area Telescope (LAT), we present modified statistical tests for periodicity in which each photon is weighted by its probability to have originated from the candidate pulsar. Since the probabilities are calculated using the instrument response function and a full spectral model, they provide powerful background rejection. With Monte Carlo methods, we demonstrate that the new tests increase the sensitivity to pulsars by more than 50% under a wide range of conditions.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Detecting Weak Gamma-ray Pulsars with Photon Probability Weighting 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 Detecting Weak Gamma-ray Pulsars with Photon Probability Weighting, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Detecting Weak Gamma-ray Pulsars with Photon Probability Weighting will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-1738161

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.