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2D Bayesian Blocks for GLAST Source Detection

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2D Bayesian Blocks for GLAST Source Detection. Jeffrey.D.Scargle@nasa.gov Space Science Division NASA Ames Research Center. Collaborators: Brad Jackson, Mathematics Department, San Jose State University Jay Norris, NASA Goddard Spaceflight Center. CELLS and BOCKS. Problems. Gaps

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2D Bayesian Blocks for GLAST Source Detection

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  1. 2D Bayesian Blocks for GLAST Source Detection Jeffrey.D.Scargle@nasa.gov Space Science Division NASA Ames Research Center Collaborators: Brad Jackson, Mathematics Department, San Jose State University Jay Norris, NASA Goddard Spaceflight Center

  2. CELLS and BOCKS

  3. Problems • Gaps • Efficiency (“exposure”) variation • Multichannel data • Real-time analysis Point-spread function dependent on position in the image dependent on energy, etc. Deadtime

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