def GenerateFCTable(CL, bkg_min=0., bkg_max=100., step=1.0):
"""Generate a table of Feldman-Cousins average upper limits
between bkg_min and bkg_max for a given confidence level (CL)."""
filename = DATA_PATH + 'FC' + str(int(CL*100)) + '.dat'
print 'Generating table of Feldman-Cousins average upper values for CL=%0.2f' % CL
fcm = conflimits.FCMemoizer(CL)
fcm.ComputeTableAverageUpperLimits(bkg_min, bkg_max, step, filename)
name = "GrandLucifer"
isot = isotope.Se82
eff = 0.65
eres = isot.Qbb * 0.003
bkg = 1.0E-3 / (units.keV * units.kg * units.year)
mass = 429. * units.kg
expo = 2200. * units.kg * units.year
nmes = ["ISM", "IBM2"]
cnmes = ["blue", "red"]
########################################
### Create a confidence-limit calculator.
### We use in this case the Feldman-Cousins memoizer.
fcm = conflimits.FCMemoizer(0.9)
fcm.ReadTableAverageUpperLimits(DATA_PATH + 'FC90.dat')
exp = experiment.Experiment(name, isotope.Se82, eff, eres, bkg, mass)
i = 0
XA = [[3e+2, 1e+4, 2, 200], [3e+2, 1e+4, 2, 80]]
for nme in nmes:
isotope.SelectNMESet(nmeset.nmedb[nme])
MBB = []
MT = arange(10, 10010, 10.)
MBB = [
exp.sensitivity(mt * units.kg * units.year, fcm) / units.meV
for mt in MT
]
import sys
FILE_PATH = os.path.dirname(os.path.realpath(__file__))
sys.path.append(FILE_PATH + '/..')
from pybbsens import units
from pybbsens import isotope
from pybbsens import experiment
from pybbsens import conflimits
from pybbsens import nmeset
name = "NEXT100"
eff = 0.3
eres = isotope.Xe136.Qbb * 0.0075
bkg = 5.E-4 / (units.keV * units.kg * units.year)
mass = 91. * units.kg
expo = mass * 3 * units.year
NEXT100 = experiment.Experiment(name, isotope.Xe136, eff, eres, bkg, mass)
FCM = conflimits.FCMemoizer(90)
FCM.ReadTableAverageUpperLimits()
nmes = ["ISM", "IBM2", "QRPA_Tu", "QRPA_Jy", "EDF"]
for nme in nmes:
print "NME = ", nme
isotope.SelectNMESet(nmeset.nmedb[nme])
mbb = NEXT100.sensitivity_mbb(expo, FCM)
print "mbb (meV) =", mbb / units.meV
hl = NEXT100.sensitivity_halflife(expo, FCM)
print "Tonu (year) =", hl / units.year