pyLikelihood: BinnedAnalysis

Prerequisites

• Perform Prerequisite Science Tools (BinnedAnalysis)

1. Log in to SLAC Public and change to your work directory (e.g., mypyLike/binned_analysis).

Note: If you are running on a Windows machine, use X-Win32 as your X server.

2. Set up your environment; see Setup: SLAC Central Linux.
   

Note: Be sure to use a bash shell.

3. Using your editor, create a simple python script file to perform an BinnedAnalysis and name it (e.g., my_binned_analysis.py; see example).

4. From the command line, enter:

   python

5. From the python prompt, enter:

   from my_binned_analysis import *

If you see the error message "Caught ImportError: libtk8.4.so: cannot open shared object file: No such file or directory", ignore it.

Your pyLikelihood BinnedAnalysis results will be displayed. (Note that the fit is: 107731.417122.)

6. From the python prompt, print the plots:

>>> like.plot()

Note: By default, the plot() method uses pyROOT to create counts spectra plots for comparing the model fits to the data. The two plot windows created are shown below; one for the counts spectra, and one for the fractional residuals of the fit.

 

 

 

 

 

 

7. Challenge: You may want to review Model Fitting with gtlikelihood and then perform the analysis again and try to improve the fit.