Brief description of the work

We will do an analysis to make an method to distinguishing gamma ray and cosmic ray with data from the HAWC observatory using Machine Learning techniques.

Goals

  1. Use a neural network for distinguishing gamma ray and cosmic ray.
  2. Make significance maps on real source to check the behavior of the networks.
  3. Compute new characteristics, and feed them as input of the networks.
  4. Try different Machine Learning method and compare with the network trained before.
  5. Research how to include outrigger data in the classification.

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Meeting (Presentation)

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FirstName Tomas
LastName Capistran
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Country Mexico
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Email capistran@pa.msu.edu
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Topic revision: r5 - 25 Aug 2017, TomasCap
 

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