Review: LAT Data Analysis

Compare: pyLikelihood - Unbinned and Binned Analysis

Perform:

  1. Setup: SLAC Central Linux
  1. Get Data (using the Astro Server)
  1. UnbinnedAnalysis
    a.) Prerequisite Science Tools: UnbinnedAnalysis

    b.) pyLikelihood: UnbinnedAnalysis
  1. BinnedAnalysis
    a.) Prerequisite Science Tools: BinnedAnalysis

    b.) pyLikelihood: BinnedAnalysis
  1. Interactively Explore pyLikelihood Functions

Example: gt_apps python Script Used in Binaries RSP Analysis; (For more examples, see Richard Dubois' confluence page "Scripts used in Binaries RSP Analysis".

See pyLikelihood:

Also see:

pyLikelihood Setup

SLAC Central Linux

For the purposes of this tutorial, it is assumed that you will be running:

  • in a bash shell on SLAC Central Linux;
  • that you will be running an SCons version of ScienceTools-09-20-00 (or higher);
  • and that you will be using the following FITS File Viewers:
    • ds9 (image viewer).
    • fv (view images and tables; also enables you to make plots and histograms.)

To setup to run on SLAC Central Linux, see Example: Setup (when running Science Tools on SLAC Central Linux).

Not on SLAC Central Linux?

If, however, you are running on your desktop computer, and are:

  • are working either in a Unix style terminal window, or in a Windows Command shell window;
  • are running the SCons version of ScienceTools-09-20-00, or higher;
  • and you have fv and ds9 in your path,

you should be able to readily adapt the instructions in this tutorial to you local environment. (Although it would probably be easier if you ran them on SLAC Central Linux first. :>)

Note: If you are running on your desktop computer and do not already have ds9 and fv, you can download:


You are now ready to perform a pyLikelihood analysis using the Science Tools version you have selected. See Get Data (using the Astro Server).


 

 

 

Last updated by: Chuck Patterson 04/01/2011

 

04/01/2011