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#!/usr/bin/env python |
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import os |
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import re |
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import sys |
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import math |
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import datetime |
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from optparse import OptionParser |
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from OSUT3Analysis.Configuration.configurationOptions import * |
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#from OSUT3Analysis.Configuration.configurationOptions import * |
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def split_composite_datasets(datasets): |
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def split_composite_datasets(datasets, composite_dataset_definitions): |
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for dataset in datasets: |
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if dataset in composite_dataset_definitions: |
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for component_dataset in composite_dataset_definitions[dataset]: |
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datasets.remove(dataset) |
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return datasets |
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def get_composite_datasets(datasets): |
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def get_composite_datasets(datasets, composite_dataset_definitions): |
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composite_datasets = [] |
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for dataset in datasets: |
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if dataset in composite_dataset_definitions: |
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return condor_dir |
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def set_commandline_arguments(parser): |
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#### Configuration-related Options |
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parser.add_option("-l", "--localConfig", dest="localConfig", |
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help="local configuration file") |
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parser.add_option("-c", "--condorDir", dest="condorDir", |
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help="condor output directory") |
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parser.add_option("-o", "--output-file", dest="outputFileName", |
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help="specify an output file name for the histogram file, default is 'stacked_histograms.root'") |
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parser.add_option("-t", "--no-weights", action="store_true", dest="noWeights", default=False, |
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help="do not apply cross section weights") |
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#### Histogram Formatting Options |
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parser.add_option("-n", "--normalize", action="store_true", dest="normalizeToData", default=False, |
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help="normalize total background MC yield to the data") |
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parser.add_option("-u", "--unit-area", action="store_true", dest="normalizeToUnitArea", default=False, |
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help="normalize all samples to unit area (useful to compare shapes)") |
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parser.add_option("-e", "--empty", action="store_true", dest="noStack", default=False, |
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help="don't stack the background samples, draw them as empty histograms instead") |
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parser.add_option("-r", "--ratio", action="store_true", dest="makeRatioPlots", default=False, |
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help="draw (data-MC)/MC plots below all 1D histograms") |
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parser.add_option("-o", "--output-file", dest="outputFileName", |
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help="specify an output file name for the histogram file, default is 'stacked_histograms.root'") |
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parser.add_option("-t", "--no-weights", action="store_true", dest="noWeights", default=False, |
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help="do not apply cross section weights") |
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parser.add_option("-b", "--rebin", action="store_true", dest="Rebin", default=False, |
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help="Rebin all the histograms") |
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parser.add_option("-d", "--diff", action="store_true", dest="makeDiffPlots", default=False, |
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help="draw data-MC plots below all 1D histograms") |
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parser.add_option("-b", "--rebin", dest="rebinFactor", |
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help="Rebin all the histograms which will have at least 10 bins after rebinning") |
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parser.add_option("--2D", action="store_true", dest="draw2DPlots", default=False, |
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help="draw stacked 2D histograms") |
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parser.add_option("-y", "--yields", action="store_true", dest="printYields", default=False, |
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help="Include the yield of each source in the legend") |
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return parser |
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def get_short_name(dataset): |
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def get_short_name(dataset, dataset_names): |
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for key in dataset_names: |
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if dataset_names[key] == dataset: |
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return key; |
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return key |
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return "Unknown" |
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def stop_ctau (dataset): |
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if not re.match (r"stop[^_]*to[^_]*_[^_]*mm.*", dataset): |
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return 0.0 |
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return float (re.sub (r"stop[^_]*to[^_]*_([^_]*)mm.*", r"\1", dataset)) |
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def source_stop_ctau (ctau): |
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return int (math.pow (10.0, math.ceil (math.log10 (ctau)))) |
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def add_stops (options, masses, ctaus, bottomBranchingRatios = []): |
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if not bottomBranchingRatios: |
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bottomBranchingRatios.append (50.0) |
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for mass in masses: |
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for ctau in ctaus: |
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for bottomBranchingRatio in bottomBranchingRatios: |
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datasetName = 'stop' + str (mass) + "_" + str (ctau) + "mm_br" + str (int (bottomBranchingRatio)) |
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bottomDatasetName = 'stop' + str (mass) + "toBl_" + str (ctau) + "mm" |
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sourceBottomDatasetName = 'stop' + str (mass) + "toBl_" + str (source_stop_ctau (ctau)) + "mm" |
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topDatasetName = 'stop' + str (mass) + "toTnu_" + str (ctau) + "mm" |
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sourceTopDatasetName = 'stop' + str (mass) + "toTnu_" + str (source_stop_ctau (ctau)) + "mm" |
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mixedDatasetName = 'stop' + str (mass) + "toBT_" + str (ctau) + "mm" |
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sourceMixedDatasetName = 'stop' + str (mass) + "toBT_" + str (source_stop_ctau (ctau)) + "mm" |
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options['datasets'].append (datasetName) |
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bottomBranchingRatio /= 100.0 |
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options['composite_dataset_definitions'][datasetName] = { |
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bottomDatasetName : bottomBranchingRatio * bottomBranchingRatio, |
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topDatasetName : (1 - bottomBranchingRatio) * (1 - bottomBranchingRatio), |
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mixedDatasetName : (1 - bottomBranchingRatio * bottomBranchingRatio - (1 - bottomBranchingRatio) * (1 - bottomBranchingRatio)) |
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} |
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options['dataset_names'][bottomDatasetName] = options['dataset_names'][sourceBottomDatasetName] |
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options['dataset_names'][topDatasetName] = options['dataset_names'][sourceTopDatasetName] |
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options['dataset_names'][mixedDatasetName] = options['dataset_names'][sourceMixedDatasetName] |
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options['nJobs'][bottomDatasetName] = 1 |
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options['nJobs'][topDatasetName] = 1 |
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options['nJobs'][mixedDatasetName] = 1 |
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options['maxEvents'][bottomDatasetName] = -1 |
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options['maxEvents'][topDatasetName] = -1 |
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options['maxEvents'][mixedDatasetName] = -1 |
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options['types'][datasetName] = "signalMC" |
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options['types'][bottomDatasetName] = "signalMC" |
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options['types'][topDatasetName] = "signalMC" |
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options['types'][mixedDatasetName] = "signalMC" |
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options['labels'][datasetName] = str (mass) + " GeV stop (#LTc#tau#GT = " + str (ctau) + " mm)" |
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options['labels'][bottomDatasetName] = "#tilde{t}#tilde{t}#rightarrowbbll (#LTc#tau#GT = " + str (ctau) + " mm)" |
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options['labels'][topDatasetName] = "#tilde{t}#tilde{t}#rightarrowtt#nu#nu (#LTc#tau#GT = " + str (ctau) + " mm)" |
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options['labels'][mixedDatasetName] = "#tilde{t}#tilde{t}#rightarrowbtl#nu (#LTc#tau#GT = " + str (ctau) + " mm)" |
