This directory, SubmitArea_13TeV, needs to be located
in the same directory as CMSSW_X_Y_Z that contains
the compiled analyzer you want to run

Before submitting jobs, you should get a grid certificate
by running from a CMSSW area:

voms-proxy-init -voms cms

Then look in /tmp and find the most recent file like
x590up_uXXXXX. Copy this file to your home directory, 
and then change one line in submitFile.pbs.sh to pick
it up:

export X509_USER_PROXY=/scratch/osg/dsperka/x509up_u130024

Now you can run on files using XRootD even if they are
not available locally on the Florida T2. The submit 
script will still prefer local files if they are 
available.

To submit Data and MC, use the template submitDataMC.sh 
on the hpc:

./submitDataMC.sh

This calls the SubmitAnalyzer.py script, which uses a list
of datasets in a text file to get the list of filenames
from DAS using a command line query. It then builds the
cfg files from template cfg files. Also, the list of 
datasets includes a field to put the cross section for MC.
For data, you can also use a JSON file (it is defined in
the template, i.e. templateData_74X_cfg.py). 

If jobs have failed, you can build a list of the failed
jobs and put them in a file called resubmit.txt and 
rerun the SubmitAnalyzer.py script with the same options
but adding --resubmit. It will then resubmit only the 
failed jobs.

After the jobs have finished, you can merge the outputs
using the hadd.py script. First make a folder where you 
want to keep the merged outputs, e.g. rootfiles_MC_XXXX 
If your results are in a folder called results_MC_XXXX,
you can call the script like:

python hadd.py -i results_MC_XXXX -o rootfiles_MC_XXXX 

You can do the same thing for data files. Additionally
for data, you may want to combine different datasets and 
remove duplicate events. You can do this by doing:

root -l -q -b removeDuplicates.C

Just change the name of the input file inside the script.