Go to the source code of this file.
Namespaces | |
| caf_analysis | |
Variables | |
| caf_analysis.parser = OptionParser() | |
| caf_analysis.help | |
| caf_analysis.action | |
| caf_analysis.type | |
| caf_analysis.dest | |
| caf_analysis.default | |
| caf_analysis.options | |
| caf_analysis.args | |
| caf_analysis.mc_mode | |
| dictionary | caf_analysis.figures = {} |
| Book histograms. More... | |
| caf_analysis.keys = figures.keys() | |
| Reco plots. More... | |
| caf_analysis.figure_keys = figures.keys() | |
| Store plot keys. More... | |
| list | caf_analysis.int_types |
| Sub-samples. More... | |
| string | caf_analysis.name = "%s-%s" |
| caf_analysis.counters = OrderedDict() | |
| Initialise a counter dictionary. More... | |
| caf_analysis.files = glob.glob(options.input_files) | |
| string | caf_analysis.r_chain_name = "recTree" |
| caf_analysis.r_chain = ROOT.TChain(r_chain_name) | |
| string | caf_analysis.s_chain_name = "spillTree" |
| caf_analysis.s_chain = ROOT.TChain(s_chain_name) | |
| caf_analysis.nevents = r_chain.GetEntries() | |
| caf_analysis.s_nevents = s_chain.GetEntries() | |
| list | caf_analysis.active_branches |
| Optimisations. More... | |
| caf_analysis.start_time = time.time() | |
| Run analysis. More... | |
| caf_analysis.print_every_n_events | |
| caf_analysis.dt = time.time()-start_time | |
| Begin loop. More... | |
| caf_analysis.pass_numu_cuts | |
| Nu mu analysis cuts These are the standard nu mu analysis cuts used in first analysis. More... | |
| int | caf_analysis.weight = 1 |
| Fill reconstruction values. More... | |
| dictionary | caf_analysis.values = {} |
| 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. More... | |
| caf_analysis.true_neutrino = r_chain.rec.mc.nu[0] | |
| caf_analysis.true_muon = None | |
| caf_analysis.x_variable = figure.split("_vs")[0] | |
| Fill histograms. More... | |
| caf_analysis.y_variable = figure.split("vs_")[1] | |
| string | caf_analysis.bad_runs_file = "/nova/app/users/tamsett/art/python/bad_timing_runs.txt" |
| Bad timing list. More... | |
| caf_analysis.bad_runs_list = set([int(r.strip()) for r in open(bad_runs_file,"r").readlines()]) | |
| int | caf_analysis.total_pot = 0 |
| Spill tree. More... | |
| caf_analysis.trigger_int = int(repr(s_chain.spill.trigger)[3:-1]) | |
| 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. More... | |
| caf_analysis.spill = tools.standardSpillCut(s_chain.spill) | |
| caf_analysis.saved_root_file = ROOT.TFile(options.output_file, "RECREATE" ) | |
| print counters More... | |
| string | caf_analysis.prefix = "mixed-" |
1.8.11
