def __init__(self, output_dir='.', config_file='', **kwargs):
super(PlotGroomers, self).__init__(**kwargs)
# Initialize utils class
self.utils = analysis_utils_obs.AnalysisUtils_Obs()
self.utils.set_plotting_options()
ROOT.gROOT.ForceStyle()
# Read config file
self.config_file = config_file
with open(config_file, 'r') as stream:
config = yaml.safe_load(stream)
self.observables = config['process_observables']
thermal_data = config['main_response']
self.fMC = ROOT.TFile(thermal_data, 'READ')
self.max_distance = config['constituent_subtractor']['max_distance']
self.R_max = config['constituent_subtractor']['main_R_max']
self.file_format = config['file_format']
self.output_dir = config['output_dir']
self.ColorArray = [
ROOT.kViolet - 8, ROOT.kAzure - 4, ROOT.kTeal - 8,
ROOT.kOrange + 6, ROOT.kOrange - 3, ROOT.kRed - 7, ROOT.kPink + 1,
ROOT.kCyan - 2, ROOT.kGray
]
self.MarkerArray = [20, 21, 22, 23, 33, 34, 24, 25, 26, 32]
self.OpenMarkerArray = [24, 25, 26, 32, 27, 28]
print(self)
def __init__(self, config_file='', **kwargs):
super(PlotLaura, self).__init__(**kwargs)
self.utils = analysis_utils_obs.AnalysisUtils_Obs()
self.initialize()
print(self)
def __init__(self, config_file='', **kwargs):
super(TheoryFolding, self).__init__(**kwargs)
# Initialize utils class
self.utils = analysis_utils_obs.AnalysisUtils_Obs()
self.config_file = config_file
# Initialize yaml config
self.initialize_user_config()
ROOT.gStyle.SetOptStat(0)
def __init__(self, config_file='', **kwargs):
super(ComputeRatioSystematics, self).__init__(**kwargs)
self.config_file = config_file
# Initialize utils class
self.utils = analysis_utils_obs.AnalysisUtils_Obs()
# Initialize yaml config
self.initialize_config()
self.ColorArray = [ROOT.kBlue-4, ROOT.kAzure+7, ROOT.kCyan-2, ROOT.kViolet-8,
ROOT.kBlue-6, ROOT.kGreen+3, ROOT.kPink-4, ROOT.kRed-4,
ROOT.kOrange-3]
self.MarkerArray = [20, 21, 22, 23, 33, 34, 24, 25, 26, 32]
def __init__(self, output_dir = '.', config_file = '', **kwargs):
super(PlotGroomers, self).__init__(**kwargs)
# Initialize utils class
self.utils = analysis_utils_obs.AnalysisUtils_Obs()
self.utils.set_plotting_options()
ROOT.gROOT.ForceStyle()
# Read config file
self.config_file = config_file
with open(config_file, 'r') as stream:
config = yaml.safe_load(stream)
self.observables = config['process_observables']
thermal_data = config['main_response']
self.fMC = ROOT.TFile(thermal_data, 'READ')
self.eta_max = config['eta_max']
self.max_distance = config['constituent_subtractor']['max_distance']
self.R_max = config['constituent_subtractor']['main_R_max']
self.file_format = config['file_format']
self.output_dir = config['output_dir']
self.min_theta_list = config['min_theta_list']
# Set reclustering algorithm
if 'reclustering_algorithm' in config:
recluster_alg = config['reclustering_algorithm']
if recluster_alg == 'CA':
self.reclustering_algorithm = 'C-A'
elif recluster_alg == 'KT':
self.reclustering_algorithm = '#it{k}_{T}'
elif recluster_alg == 'AKT':
self.reclustering_algorithm = 'anti-#it{k}_{T}'
#self.legend_list = ['subleading', 'leading (swap)', 'leading (mis-tag)', 'ungroomed', 'outside', 'other', 'combined fail', 'truth fail', 'both fail']
self.legend_list = ['subleading', 'leading (swap)', 'leading (mis-tag)', 'groomed away', 'outside jet', 'other']
self.ColorArray = [ROOT.kViolet-8, ROOT.kAzure-4, ROOT.kTeal-8, ROOT.kOrange+6, ROOT.kOrange-3, ROOT.kRed-7, ROOT.kPink+1, ROOT.kCyan-2, ROOT.kGray, 1, 1, 1, 1]
self.MarkerArray = [20, 21, 22, 23, 33, 34, 24, 25, 26, 32]
self.OpenMarkerArray = [24, 25, 26, 32, 27, 28]
ROOT.gStyle.SetLineStyleString(11,'30 12')
print(self)
def __init__(self, **kwargs):
super(PlotRAA, self).__init__(**kwargs)
self.utils = analysis_utils_obs.AnalysisUtils_Obs()
self.initialize()
