errorMatrix2Lands_multiChannel.py File Reference

Go to the source code of this file.

Namespaces
	errorMatrix2Lands_multiChannel

Functions
def	errorMatrix2Lands_multiChannel.iddify

Variables
list	errorMatrix2Lands_multiChannel.alphas = [ (D['exp'][i]/(realN) if X else 0) for i,X in enumerate(N) ]
dictionary	errorMatrix2Lands_multiChannel.data = {}
tuple	errorMatrix2Lands_multiChannel.file = open(args[0], "r")
string	errorMatrix2Lands_multiChannel.filename = "%s-mH%s.txt"
tuple	errorMatrix2Lands_multiChannel.fout = open(filename, "w")
list	errorMatrix2Lands_multiChannel.hasrate = [0 for p in range(nproc)]
tuple	errorMatrix2Lands_multiChannel.header = file.readline()
tuple	errorMatrix2Lands_multiChannel.id = iddify(D['nuisname'][inuis])
tuple	errorMatrix2Lands_multiChannel.isStat = (D['nuisname'][inuis] == "Statistics in MC or control sample")
tuple	errorMatrix2Lands_multiChannel.l = re.sub("--+","0",l)
list	errorMatrix2Lands_multiChannel.line = []
tuple	errorMatrix2Lands_multiChannel.m = re.match(r"(\d+) Yield\s+((\d+\.?\d*(E[+\-]\d+)?\s+)+)", l)
tuple	errorMatrix2Lands_multiChannel.mh = m.group(1)
tuple	errorMatrix2Lands_multiChannel.mhs = data.keys()
string	errorMatrix2Lands_multiChannel.name = "%-3d"
tuple	errorMatrix2Lands_multiChannel.nN = sum([1 for X in N if X > 0])
	people filling error matrix uses the naive 1/sqrt(N) errors More...
tuple	errorMatrix2Lands_multiChannel.nproc = len(processnames)
list	errorMatrix2Lands_multiChannel.nuisline = []
string	errorMatrix2Lands_multiChannel.pad = " "
tuple	errorMatrix2Lands_multiChannel.parser = OptionParser()
tuple	errorMatrix2Lands_multiChannel.processnames = header.split()
tuple	errorMatrix2Lands_multiChannel.realN = int(floor(sumN/nN+1.5))
tuple	errorMatrix2Lands_multiChannel.start = i*(nproc+1)
tuple	errorMatrix2Lands_multiChannel.sumN = sum([1.0/(X*X) for X in N if X > 0])
list	errorMatrix2Lands_multiChannel.syseff = [float(x) for x in m.group(2).split()]
tuple	errorMatrix2Lands_multiChannel.sysname = m.group(1)
dictionary	errorMatrix2Lands_multiChannel.used_syst_labels = {}
list	errorMatrix2Lands_multiChannel.yields = [float(x) for x in m.group(2).split()]