if __name__ == '__main__':
import sys, os, signal
import subprocess
import itertools
from multiprocessing import Pool, freeze_support
from mapping.chamberInfo import chamber_config, GEBtype
from anaInfo import ana_config
from gempython.utils.wrappers import envCheck
from anaoptions import parser
parser.add_option("--series",
action="store_true",
dest="series",
help="Run tests in series (default is false)",
metavar="series")
parser.add_option(
"--anaType",
type="string",
dest="anaType",
help=
"Analysis type to be executed, from list {'latency','scurve','threshold','trim'}",
metavar="anaType")
(options, args) = parser.parse_args()
envCheck('BUILD_HOME')
envCheck('DATA_PATH')
envCheck('ELOG_PATH')
#!/bin/env python
import os
import sys
from optparse import OptionParser
from array import array
from mapping.channelMaps import *
from mapping.PanChannelMaps import *
from gempython.utils.nesteddict import nesteddict as ndict
from anaoptions import parser
parser.add_option("--fileScurveFitTree",
type="string",
dest="fileScurveFitTree",
default="SCurveFitData.root",
help="TFile containing scurveFitTree",
metavar="fileScurveFitTree")
parser.add_option("--zscore",
type="float",
dest="zscore",
default=3.5,
help="Z-Score for Outlier Identification in MAD Algo",
metavar="zscore")
parser.set_defaults(outfilename="VThreshold1Data_Trimmed.root")
(options, args) = parser.parse_args()
filename = options.filename[:-5]
os.system("mkdir " + filename)
print filename
if __name__ == '__main__':
import sys, os, signal
import subprocess
import itertools
from multiprocessing import Pool, freeze_support
from mapping.chamberInfo import chamber_config, GEBtype
from anaInfo import ana_config
from gempython.utils.wrappers import envCheck
from anaoptions import parser
parser.add_option("--anaType",
type="string",
dest="anaType",
help="Analysis type to be executed, from list: " +
str(ana_config.keys()),
metavar="anaType")
parser.add_option("--latFit",
action="store_true",
dest="performLatFit",
help="Fit the latency distributions",
metavar="performLatFit")
parser.add_option(
"--latSigRange",
type="string",
dest="latSigRange",
default=None,
help=
"Comma separated pair of values defining expected signal range, e.g. lat #epsilon [41,43] is signal",
metavar="latSigRange")
#!/bin/env python
import os
import numpy as np
from optparse import OptionParser
from array import array
from anautilities import *
from anaInfo import *
from fitting.fitScanData import *
from mapping.channelMaps import *
from mapping.PanChannelMaps import *
from gempython.utils.nesteddict import nesteddict as ndict
from anaoptions import parser
parser.add_option("-b", "--drawbad", action="store_true", dest="drawbad",
help="Draw fit overlays for Chi2 > 10000", metavar="drawbad")
parser.add_option("-f", "--fit", action="store_true", dest="SaveFile",
help="Save the Fit values to Root file", metavar="SaveFile")
parser.add_option("--IsTrimmed", action="store_true", dest="IsTrimmed",
help="If the data is from a trimmed scan, plot the value it tried aligning to", metavar="IsTrimmed")
parser.add_option("--zscore", type="float", dest="zscore", default=3.5,
help="Z-Score for Outlier Identification in MAD Algo", metavar="zscore")
parser.set_defaults(outfilename="SCurveFitData.root")
(options, args) = parser.parse_args()
filename = options.filename[:-5]
os.system("mkdir " + filename)
print filename
outfilename = options.outfilename
# -*- coding: utf-8 -*- """ @author: Anastasia and Cameron Bravo ([email protected]) Brian Dorney ([email protected]) """ import numpy as np import os from anaoptions import parser from anautilities import make3x8Canvas from array import array from gempython.utils.nesteddict import nesteddict as ndict parser.add_option("-f", "--fit", action="store_true", dest="performFit", help="Fit the latency distributions", metavar="performFit") parser.add_option("--latSigRange", type="string", dest="latSigRange", default=None, help="Comma separated pair of values defining expected signal range, e.g. lat #epsilon [41,43] is signal", metavar="latSigRange") parser.add_option("--latSigMaskRange", type="string", dest="latSigMaskRange", default=None, help="Comma separated pair of values defining the region to be masked when trying to fit the noise, e.g. lat #notepsilon [40,44] is noise (lat < 40 || lat > 44)", metavar="latSigMaskRange") parser.set_defaults(outfilename="latencyAna.root") (options, args) = parser.parse_args() filename = options.filename[:-5] os.system("mkdir " + filename) print filename outputfilename = options.outfilename