caf_analysis Namespace Reference

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-"

Variable Documentation

caf_analysis.action

Definition at line 5 of file caf_analysis.py.

list caf_analysis.active_branches

Initial value:

= [
                   "hdr.run",
                   "hdr.subrun",
                   "hdr.evt",
                   "hdr.det",
                   "sel.remid.len",
                   "sel.remid.bestidx",
                   "energy.numusimp.trkccE",
                   "energy.numusimp.hadcalE",
                   "energy.numusimp.hadtrkE",
                   "energy.mutrkE.E",
                   "mc.nu",
                   "mc.nnu",
                   "mc.nu.iscc",
                   "mc.nu.pdg",
                   "mc.nu.pdgorig",
                   "mc.nu.E",
                   "mc.nu.*",
]

Optimisations.

Definition at line 130 of file caf_analysis.py.

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.

caf_analysis.bad_runs_list = set([int(r.strip()) for r in open(bad_runs_file,"r").readlines()])

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

Begin loop.

Event loop finished.

Get entries

Definition at line 165 of file caf_analysis.py.

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

Initial value:

= [
                 "QE","Res","DIS", "Coh","MEC",
                 ]

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(), TMVA::TMVAGlob.GetListOfTitles(), Plotter.GetMCPlots(), genie::Cache.Load(), PandAna.core.core.load_tree(), main(), FirstAnaPageMakers.makeDatasetPage(), PageMakers.makeFrontPage(), std_candles.StdCandlesPlotter.MakeOverlayMCPlots(), art::RootOutput::Config::KeysToIgnore.operator()(), ana::HistCache.PrintStats(), and genie::Cache.Save().

caf_analysis.mc_mode

Definition at line 18 of file caf_analysis.py.

string caf_analysis.name = "%s-%s"

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" )

print counters

Save histograms

Definition at line 281 of file caf_analysis.py.

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(), ana.CombineExposures(), ana.CVNVetoOverlapWindowCut(), febrates(), febshutoff(), generate_fd_fake_events(), ana::SpectrumLoaderBase.GetNextFile(), ana::FileReducer.Go(), 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(), and ana.WindowCut_FD_MR().

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.