Variables | |
| parser = OptionParser() | |
| help | |
| action | |
| type | |
| dest | |
| default | |
| options | |
| args | |
| mc_mode | |
| dictionary | figures = {} |
| Book histograms. More... | |
| keys = figures.keys() | |
| Reco plots. More... | |
| figure_keys = figures.keys() | |
| Store plot keys. More... | |
| list | int_types |
| Sub-samples. More... | |
| string | name = "%s-%s" |
| counters = OrderedDict() | |
| Initialise a counter dictionary. More... | |
| files = glob.glob(options.input_files) | |
| string | r_chain_name = "recTree" |
| r_chain = ROOT.TChain(r_chain_name) | |
| string | s_chain_name = "spillTree" |
| s_chain = ROOT.TChain(s_chain_name) | |
| nevents = r_chain.GetEntries() | |
| s_nevents = s_chain.GetEntries() | |
| list | active_branches |
| Optimisations. More... | |
| start_time = time.time() | |
| Run analysis. More... | |
| print_every_n_events | |
| dt = time.time()-start_time | |
| Begin loop. More... | |
| pass_numu_cuts | |
| Nu mu analysis cuts These are the standard nu mu analysis cuts used in first analysis. More... | |
| int | weight = 1 |
| Fill reconstruction values. More... | |
| dictionary | values = {} |
| true_event_types = tools.DetermineTruthEventType(r_chain, verbose=options.verbose) | |
| Truth studies if the '-m' option is set then we assume this is MC if so we run some simple truth analysis. More... | |
| true_neutrino = r_chain.rec.mc.nu[0] | |
| true_muon = None | |
| x_variable = figure.split("_vs")[0] | |
| Fill histograms. More... | |
| y_variable = figure.split("vs_")[1] | |
| string | bad_runs_file = "/nova/app/users/tamsett/art/python/bad_timing_runs.txt" |
| Bad timing list. More... | |
| bad_runs_list = set([int(r.strip()) for r in open(bad_runs_file,"r").readlines()]) | |
| int | total_pot = 0 |
| Spill tree. More... | |
| trigger_int = int(repr(s_chain.spill.trigger)[3:-1]) | |
| tuple | timing_dq = (s_chain.spill.run not in bad_runs_list) |
| Analysis cuts the full analysis cuts should be applied here timing dq. More... | |
| spill = tools.standardSpillCut(s_chain.spill) | |
| saved_root_file = ROOT.TFile(options.output_file, "RECREATE" ) | |
| print counters More... | |
| string | prefix = "mixed-" |
| caf_analysis.action |
Definition at line 5 of file caf_analysis.py.
| list caf_analysis.active_branches |
| caf_analysis.args |
Definition at line 10 of file caf_analysis.py.
| string caf_analysis.bad_runs_file = "/nova/app/users/tamsett/art/python/bad_timing_runs.txt" |
Bad timing list.
Definition at line 236 of file caf_analysis.py.
Definition at line 237 of file caf_analysis.py.
| caf_analysis.counters = OrderedDict() |
Initialise a counter dictionary.
Definition at line 69 of file caf_analysis.py.
| caf_analysis.default |
Definition at line 5 of file caf_analysis.py.
| caf_analysis.dest |
Definition at line 5 of file caf_analysis.py.
| caf_analysis.dt = time.time()-start_time |
| caf_analysis.figure_keys = figures.keys() |
Store plot keys.
Definition at line 57 of file caf_analysis.py.
| dictionary caf_analysis.figures = {} |
Book histograms.
Definition at line 31 of file caf_analysis.py.
| caf_analysis.files = glob.glob(options.input_files) |
Definition at line 96 of file caf_analysis.py.
| caf_analysis.help |
Definition at line 5 of file caf_analysis.py.
| list caf_analysis.int_types |
Sub-samples.
Definition at line 60 of file caf_analysis.py.
| caf_analysis.keys = figures.keys() |
Reco plots.
True plots Multi-dimensional plots
Definition at line 46 of file caf_analysis.py.
Referenced by ProductionTestTools.addDefs(), fhicl::detail.concatenate_keys(), ViewHTML.directoryToTable(), ControllerView.ControllerView.draw_component_plots(), ProductionTestTools.findMissingFiles(), art.for_each_group_with_left(), fhicl::ParameterSet.get_if_present(), fhicl::detail.get_names(), get_sorted_keys(), Plotter.GetDataPlots(), ana.GetKeySysts(), TMVA::TMVAGlob.GetListOfTitles(), Plotter.GetMCPlots(), cmf::ChiSqrCalculator.InitializeCovarianceMatrix(), cmf::SelectionUtility::DetBeamSels.Keys(), genie::Cache.Load(), PandAna.core.core.load_tree(), main(), FirstAnaPageMakers.makeDatasetPage(), PageMakers.makeFrontPage(), std_candles.StdCandlesPlotter.MakeOverlayMCPlots(), art::RootOutput::Config::KeysToIgnore.operator()(), genie::Cache.Save(), and cmf::SelectionUtility.SelectionsToUseAsKeys().
| caf_analysis.mc_mode |
Definition at line 18 of file caf_analysis.py.
Definition at line 66 of file caf_analysis.py.
| caf_analysis.nevents = r_chain.GetEntries() |
Definition at line 117 of file caf_analysis.py.
| caf_analysis.options |
Definition at line 10 of file caf_analysis.py.
| caf_analysis.parser = OptionParser() |
Definition at line 4 of file caf_analysis.py.
| caf_analysis.pass_numu_cuts |
Nu mu analysis cuts These are the standard nu mu analysis cuts used in first analysis.
Definition at line 174 of file caf_analysis.py.
| string caf_analysis.prefix = "mixed-" |
Definition at line 285 of file caf_analysis.py.
| caf_analysis.print_every_n_events |
Definition at line 156 of file caf_analysis.py.
| caf_analysis.r_chain = ROOT.TChain(r_chain_name) |
Definition at line 104 of file caf_analysis.py.
| string caf_analysis.r_chain_name = "recTree" |
Definition at line 103 of file caf_analysis.py.
| caf_analysis.s_chain = ROOT.TChain(s_chain_name) |
Definition at line 107 of file caf_analysis.py.
| string caf_analysis.s_chain_name = "spillTree" |
Definition at line 106 of file caf_analysis.py.
| caf_analysis.s_nevents = s_chain.GetEntries() |
Definition at line 118 of file caf_analysis.py.
| caf_analysis.saved_root_file = ROOT.TFile(options.output_file, "RECREATE" ) |
| caf_analysis.spill = tools.standardSpillCut(s_chain.spill) |
Definition at line 264 of file caf_analysis.py.
Referenced by hdf5::HDF5Maker.analyze(), comi::NearlineAna.analyze(), caf_numu_nd_cutflow(), caf_numu_nuenergy_vs_xy(), caf_numu_reco_minus_true(), caf_numu_validation(), caf_numu_vars(), caf::Proxy< caf::StandardRecord >.CheckEquals(), flat::Flat< caf::StandardRecord >.Clear(), ana.CombineExposures(), ana.CVNVetoOverlapWindowCut(), febrates(), febshutoff(), flat::Flat< caf::StandardRecord >.Fill(), generate_fd_fake_events(), ana::SpectrumLoaderBase.GetNextFile(), ana::FileReducer.Go(), ana::SpectrumLoaderBase.Gone(), evtsum::EventSummary.MakeOutput(), numu_validation_numuvars(), caf::Proxy< caf::StandardRecord >.operator=(), flat::FlatMaker.produce(), MergeGenCollections::MergeGenCollections.produce(), comi::Cana.produce(), caf::CAFMaker.produce(), caf::CAFMaker.sortNuWithIdx(), ana::SpectrumLoaderNuTreeSpillCuts.SpectrumLoaderNuTreeSpillCuts(), validation_numu_nd(), ana.WindowCut_FD_MR(), and ana::ISpillSink.~ISpillSink().
| caf_analysis.start_time = time.time() |
Run analysis.
Definition at line 155 of file caf_analysis.py.
| tuple caf_analysis.timing_dq = (s_chain.spill.run not in bad_runs_list) |
Analysis cuts the full analysis cuts should be applied here timing dq.
Definition at line 261 of file caf_analysis.py.
| int caf_analysis.total_pot = 0 |
Spill tree.
Definition at line 241 of file caf_analysis.py.
| caf_analysis.trigger_int = int(repr(s_chain.spill.trigger)[3:-1]) |
Definition at line 254 of file caf_analysis.py.
| list caf_analysis.true_event_types = tools.DetermineTruthEventType(r_chain, verbose=options.verbose) |
Truth studies if the '-m' option is set then we assume this is MC if so we run some simple truth analysis.
Fill truth values.
Definition at line 192 of file caf_analysis.py.
| caf_analysis.true_muon = None |
Definition at line 196 of file caf_analysis.py.
| caf_analysis.true_neutrino = r_chain.rec.mc.nu[0] |
Definition at line 195 of file caf_analysis.py.
| caf_analysis.type |
Definition at line 5 of file caf_analysis.py.
| dictionary caf_analysis.values = {} |
Definition at line 183 of file caf_analysis.py.
| int caf_analysis.weight = 1 |
Fill reconstruction values.
Definition at line 182 of file caf_analysis.py.
| caf_analysis.x_variable = figure.split("_vs")[0] |
Fill histograms.
Definition at line 221 of file caf_analysis.py.
| caf_analysis.y_variable = figure.split("vs_")[1] |
Definition at line 222 of file caf_analysis.py.
1.8.11
