Difference: TomasCap (1 vs. 5)

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25 Aug 2017 - Main.TomasCap
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Brief description of the work

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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

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like this

August

Meeting (Presentation)

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  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.

LogBook

Meeting (Presentation)

 

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META FORM name="%25SYSTEMWEB%25.UserForm"
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META FORM name="System.UserForm"
 
FORM FIELD FirstName FirstName Tomas
FORM FIELD LastName LastName Capistran
FORM FIELD OrganisationName OrganisationName
FORM FIELD OrganisationURL OrganisationURL
FORM FIELD Profession Profession
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FORM FIELD Country Country
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FORM FIELD Country Country Mexico
 
FORM FIELD State State
FORM FIELD Address Address
FORM FIELD Location Location
FORM FIELD Telephone Telephone
FORM FIELD VoIP VoIP
FORM FIELD InstantMessaging (IM) InstantMessagingIM
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FORM FIELD Email Email
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FORM FIELD Email Email capistran@pa.msu.edu
 
FORM FIELD HomePage HomePage
FORM FIELD Comment Comment
META PREFERENCE name="VIEW_TEMPLATE" title="VIEW_TEMPLATE" type="Local" value="UserView"
 
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