This is a set of tutorials for the CMS Statistics Data Analysis School (DAS) Short Exercise.
setup-libraries.ipynb: setting up libraries usingCMSSW0/exercise_0.ipynb: a very shortPyROOT/RooFittutorial1/exercise_1.ipynb: analyzing a single count usingRooFit/RooStats2/exercise_2.ipynb: analyzing three counts usingRooFit/RooStats3/exercise_3a.ipynb: analyzing three counts usingcombine3/exercise_3b.ipynb: a realistic couting experiment usingcombine3/exercise_3c.ipynb: systematic uncertainties for data-driven background estimates usingcombine4/exercise_4.ipynb: binned fit to Run I H->gg data (optional)5/exercise_5.ipynb: unbinned fit to Type Ia supernovae distance modulus/red shift data (optional)6/exercise_6.ipynb: histogram template analysis usingcombine(optional)
We will be using the Vanderbilt JupyterHub. Point your browser to:
https://jupyter.accre.vanderbilt.edu/
If this is the first time using this JupyterHub, you should see:
Click the "Sign in with Jupyter ACCRE" button. On the following page, select CERN as your identity provider and click the "Log On" button. Then, enter your CERN credentials or use your CERN grid certificate to autheticate. Click "Spawn" to start a "Default ACCRE Image v2" image.
Now you should see the JupyterHub home directory. Click on "New" then "Terminal" in the top right to launch a new terminal.
To download the tutorials, type
git clone https://github.com/FNALLPC/statistics-das
Now, in your directory tab, there should be a new directory called statistics-das. All of the tutorials and exercises are in there. Start by clicking on setup-libraries.ipynb and running it.
The indico page is: https://indico.cern.ch/e/cmsdas2019
The Mattermost for live support is: https://mattermost.web.cern.ch/cmsdaslpc2019/channels/shortexercisestat
The twiki is: https://twiki.cern.ch/twiki/bin/view/CMS/SWGuideCMSDataAnalysisSchoolLPC2019StatisticsExercise