def end_sequence(eventWise_path, end_time, dijet_mass=None, jet_pt_cut=None):
run_fix(eventWise_path, end_time)
# score clusterings
ParallelFormJets.run_score(eventWise_path, end_time, dijet_mass)
if time.time() > end_time:
return
# calculate mass peaks
if jet_pt_cut is not None:
ParallelFormJets.run_correct_masses(eventWise_path, end_time, jet_pt_cut)
if time.time() > end_time:
return
def end_sequence(eventWise_path,
end_time,
z_cuts=None,
dijet_mass=None,
jet_pt_cut=None):
"""
Scan over all combinations of a range of options. then score the result
Parameters
----------
eventWise_path : str
Path to the dataset used for input and writing outputs.
jet_class : str
end_time : int
time to stop scanning.
scan_parameters : dict or str
fix_parameters : dict
dijet_mass : float
mass of the dijets for scoring
if not given the events are not scored
irc_prep: bool
should the file be preped for irc calculations?
"""
# make pileup free jets
if z_cuts is not None:
#jet_names = ["AntiKTp4Jet", "AntiKTp8Jet", "CAp4Jet", "CAp8Jet", "KTp4Jet", "KTp8Jet"]
jet_names = None
ParallelFormJets.run_modified_mass_drop(eventWise_path, end_time,
z_cuts, jet_names)
if time.time() > end_time:
return
# score clusterings
ParallelFormJets.run_score(eventWise_path, end_time, dijet_mass)
if time.time() > end_time:
return
# calculate mass peaks
if jet_pt_cut is not None:
ParallelFormJets.run_correct_masses(eventWise_path, end_time,
jet_pt_cut)
if time.time() > end_time:
return