Flexible implementation of the rebalance and smear method in python + RooFit. This package also introduces the ability to send jobs to condor.
from rebalance import Jet, RebalanceWSFactory
# Event with two arbitrary reco-level jets
jets = [
Jet(pt=100, eta=1.3, phi=0.),
Jet(pt=100, eta=1.3, phi=2.8),
]
# Factory creates RooWorkspace for us
# default workspace has dummy assumptions for priors, resolution functions
# -> Simple extension possible via inheritance!
rbwsfac = RebalanceWSFactory(jets)
rbwsfac.build()
ws = rbwsfac.get_ws()
# Ready to minize the negative log likelihood!
m = r.RooMinimizer(ws.function("nll"))
m.migrad()Using the rebexec command line tool, one can submit jobs to HTcondor servers:
rebexec submit --dataset 'QCD_HT.*2017' --name 'my_rebsmear_submission'There are some testing options for use: Use --dry to run the script but do not make the actual submission. Use --test to run 1 file per dataset.
rebexec also suppors running the jobs locally:
rebexec run --dataset 'QCD_HT.*2017' --name 'my_rebsmear_submission'