def test_closure(self):
www_card_orig = read_card('vh3l_120.txt')
www_card_file = open('vh3l_cut_rewritten.txt', 'w')
write_card(www_card_file, www_card_orig)
www_card_file.close()
www_card_reread = read_card('vh3l_cut_rewritten.txt')
self.assertEqual(
www_card_reread.exp['ch1'], www_card_orig.exp['bin1']
)
self.assertEqual(
www_card_reread.isSignal, www_card_orig.isSignal
)
self.assertEqual(
sorted(www_card_reread.processes), sorted(www_card_orig.processes)
)
orig_systs = sorted(www_card_orig.systs, key=lambda x: x[0])
new_systs = sorted(www_card_reread.systs, key=lambda x: x[0])
for orig_syst, new_syst in zip(orig_systs, new_systs):
# Format
# name, shape, type, ?, bin-process map
self.assertEqual(
orig_syst[:4], new_syst[:4]
)
self.assertEqual(
orig_syst[4]['bin1'], new_syst[4]['ch1']
)
def test_closure(self):
os.system(
'remove_systematics.py vh3l_120.txt "pdf_qqba*" > vh3l_nosys.txt')
www_card_orig = read_card('vh3l_120.txt')
www_card_nosys = read_card('vh3l_nosys.txt')
self.assertTrue('pdf_qqbar' in [x[0] for x in www_card_orig.systs])
self.assertTrue(
'pdf_qqbar' not in [x[0] for x in www_card_nosys.systs])
def interpolate_card(output_stream,
lowcardfile, lowmass,
highcardfile, highmass,
target, processes):
''' Interpolate between two data cards
The output card (with mass=target) is written to output_stream.
The [processes] are interpolated. The processes can contain
the format string {mass}
'''
log.info("Parsing %s m:%i", lowcardfile, lowmass)
lowcard = read_card(lowcardfile)
log.info("Parsing %s m:%i", highcardfile, highmass)
highcard = read_card(highcardfile)
assert(lowcard.bins == highcard.bins)
newcard = copy.deepcopy(lowcard)
for process in processes:
targetlabel = process.format(mass=target)
log.info("Interpolating %s process" % targetlabel)
lowlabel = process.format(mass=lowmass)
highlabel = process.format(mass=highmass)
# Check the yield for this process in each bin
for bin in lowcard.bins:
try:
low_yield = lowcard.exp[bin][lowlabel]
except KeyError:
log.error("Error reading bin: %s process: %s from file: %s",
bin, lowlabel, lowcardfile)
raise
try:
high_yield = highcard.exp[bin][highlabel]
except KeyError:
log.error("Error reading bin: %s process: %s from file: %s",
bin, highlabel, highcardfile)
raise
target_yield = morph.interpolate(
lowmass, low_yield,
highmass, high_yield,
target
)
#log.info("in bin", bin, "low yield is", low_yield,
#"high yield is", high_yield, "=> target is ", target_yield)
# We use the same label as lowlabel, and replace it later
newcard.exp[bin][lowlabel] = target_yield
log.info("Writing new card to output")
write_card(output_stream, newcard)
def test_closure(self):
os.system('remove_systematics.py vh3l_120.txt "pdf_qqba*" > vh3l_nosys.txt')
www_card_orig = read_card('vh3l_120.txt')
www_card_nosys = read_card('vh3l_nosys.txt')
self.assertTrue(
'pdf_qqbar' in [x[0] for x in www_card_orig.systs]
)
self.assertTrue(
'pdf_qqbar' not in [x[0] for x in www_card_nosys.systs]
)
def interpolate_card(output_stream, lowcardfile, lowmass, highcardfile,
highmass, target, processes):
''' Interpolate between two data cards
The output card (with mass=target) is written to output_stream.
The [processes] are interpolated. The processes can contain
the format string {mass}
'''
log.info("Parsing %s m:%i", lowcardfile, lowmass)
lowcard = read_card(lowcardfile)
log.info("Parsing %s m:%i", highcardfile, highmass)
highcard = read_card(highcardfile)
assert (lowcard.bins == highcard.bins)
newcard = copy.deepcopy(lowcard)
for process in processes:
targetlabel = process.format(mass=target)
log.info("Interpolating %s process" % targetlabel)
lowlabel = process.format(mass=lowmass)
highlabel = process.format(mass=highmass)
# Check the yield for this process in each bin
for bin in lowcard.bins:
try:
low_yield = lowcard.exp[bin][lowlabel]
except KeyError:
log.error("Error reading bin: %s process: %s from file: %s",
bin, lowlabel, lowcardfile)
raise
try:
high_yield = highcard.exp[bin][highlabel]
except KeyError:
log.error("Error reading bin: %s process: %s from file: %s",
bin, highlabel, highcardfile)
raise
target_yield = morph.interpolate(lowmass, low_yield, highmass,
high_yield, target)
#log.info("in bin", bin, "low yield is", low_yield,
#"high yield is", high_yield, "=> target is ", target_yield)
# We use the same label as lowlabel, and replace it later
newcard.exp[bin][lowlabel] = target_yield
log.info("Writing new card to output")
write_card(output_stream, newcard)
def test_closure(self):
new_120_file = open('vh3l_120_interpolated.txt', 'w')
new_120 = interpolate_card(new_120_file,
'vh3l_110.txt', 110,
'vh3l_130.txt', 130,
120, 'VHww', 'VHtt')
new_120_file.close()
new_120 = read_card('vh3l_120_interpolated.txt')
def test_closure(self):
www_card_orig = read_card('vh3l_120.txt')
www_card_file = open('vh3l_cut_rewritten.txt', 'w')
write_card(www_card_file, www_card_orig)
www_card_file.close()
www_card_reread = read_card('vh3l_cut_rewritten.txt')
self.assertEqual(www_card_reread.exp['ch1'], www_card_orig.exp['bin1'])
self.assertEqual(www_card_reread.isSignal, www_card_orig.isSignal)
self.assertEqual(sorted(www_card_reread.processes),
sorted(www_card_orig.processes))
orig_systs = sorted(www_card_orig.systs, key=lambda x: x[0])
new_systs = sorted(www_card_reread.systs, key=lambda x: x[0])
for orig_syst, new_syst in zip(orig_systs, new_systs):
# Format
# name, shape, type, ?, bin-process map
self.assertEqual(orig_syst[:4], new_syst[:4])
self.assertEqual(orig_syst[4]['bin1'], new_syst[4]['ch1'])
import pprint
import uncertainties
import FinalStateAnalysis.StatTools.cardreader as cardreader
card = cardreader.read_card("combo/comb_leptonic_120.txt")
systs = cardreader.create_uncertainties(card)
analyses = {
'TT' : {
'channels' : [
'ch1_ch1_' + x for x in [
'mmt_mumu_final_MuTauMass',
'emt_emu_final_SubleadingMass',
]
],
'names' : {
'tt_signal' : 'VH120',
'ww_signal' : 'VH120WW',
'WZ' : 'WZ',
'ZZ' : 'ZZ',
'fakes' : 'fakes',
},
},
'WW' : {
'channels' : [
'ch2'
],
'names' : {
'tt_signal' : 'VHtt',
'ww_signal' : 'VHww',
'WZ' : 'WZ',
from FinalStateAnalysis.StatTools.cardreader import read_card
from FinalStateAnalysis.StatTools.cardwriter import write_card
import sys
parser = argparse.ArgumentParser()
parser.add_argument('card', help='Input card')
parser.add_argument('toremove', nargs='+', metavar='systematic', type=str,
help='Systematics to remove. Can specify wildcards.')
log = logging.getLogger('remove_systematics')
if __name__ == "__main__":
args = parser.parse_args()
logging.basicConfig(stream=sys.stderr, level=logging.INFO)
input = read_card(args.card)
clean_systematics = []
filters_applied = set([])
for syst in input.systs:
is_clean = True
for filter in args.toremove:
if fnmatch.fnmatchcase(syst[0], filter):
is_clean = False
filters_applied.add(filter)
break
if not is_clean:
log.info("Removing systematic: %s", syst[0])
else:
expected = card.exp[bin][process]
total_relative_error = 1
for syst in card.systs:
error_object = my_systs[syst[0]]
error = syst[4][bin][process]
if error and error != 1:
if isinstance(error, list): # up/down format
error = error[1]
percent_error = error - 1
multiplier = 1 + percent_error * error_object
total_relative_error = total_relative_error * multiplier
return expected, (total_relative_error)
for mass in range(110, 165, 10):
card = read_card("combo/comb_leptonic_%i.txt" % mass)
wh_yield = lumi * cross_section("WH", mass, 7)
zh_yield = lumi * cross_section("ZH", mass, 7)
wh_www_yield = wh_yield * branching_ratio("WW", mass)
wh_wtt_yield = wh_yield * branching_ratio("tautau", mass)
zh_ztt_yield = zh_yield * branching_ratio("tautau", mass)
zh_zww_yield = zh_yield * branching_ratio("WW", mass)
wh_www_yield_leptons = wh_www_yield * cube(w_to_any_lepton)
wh_wtt_yield_leptons = wh_wtt_yield * w_to_any_lepton
zh_zww_yield_leptons = zh_zww_yield * square(w_to_any_lepton) * z_to_any_lepton
www_card_orig = read_card('vh3l_120.txt')
www_card_file = open('vh3l_cut_rewritten.txt', 'w')
write_card(www_card_file, www_card_orig)
www_card_file.close()
www_card_reread = read_card('vh3l_cut_rewritten.txt')
self.assertEqual(
www_card_reread.exp['ch1'], www_card_orig.exp['bin1']
)
self.assertEqual(
www_card_reread.isSignal, www_card_orig.isSignal
)
self.assertEqual(
sorted(www_card_reread.processes), sorted(www_card_orig.processes)
)
orig_systs = sorted(www_card_orig.systs, key=lambda x: x[0])
new_systs = sorted(www_card_reread.systs, key=lambda x: x[0])
for orig_syst, new_syst in zip(orig_systs, new_systs):
# Format
# name, shape, type, ?, bin-process map
self.assertEqual(
orig_syst[:4], new_syst[:4]
)
self.assertEqual(
orig_syst[4]['bin1'], new_syst[4]['ch1']
)
if __name__ == '__main__':
card = read_card('vh3l_120.txt')
unittest.main()
from FinalStateAnalysis.StatTools.cardreader import read_card
from FinalStateAnalysis.StatTools.cardwriter import write_card
import unittest
class TestCardParsring(unittest.TestCase):
def test_closure(self):
www_card_orig = read_card('vh3l_120.txt')
www_card_file = open('vh3l_cut_rewritten.txt', 'w')
write_card(www_card_file, www_card_orig)
www_card_file.close()
www_card_reread = read_card('vh3l_cut_rewritten.txt')
self.assertEqual(www_card_reread.exp['ch1'], www_card_orig.exp['bin1'])
self.assertEqual(www_card_reread.isSignal, www_card_orig.isSignal)
self.assertEqual(sorted(www_card_reread.processes),
sorted(www_card_orig.processes))
orig_systs = sorted(www_card_orig.systs, key=lambda x: x[0])
new_systs = sorted(www_card_reread.systs, key=lambda x: x[0])
for orig_syst, new_syst in zip(orig_systs, new_systs):
# Format
# name, shape, type, ?, bin-process map
self.assertEqual(orig_syst[:4], new_syst[:4])
self.assertEqual(orig_syst[4]['bin1'], new_syst[4]['ch1'])
if __name__ == '__main__':
card = read_card('vh3l_120.txt')
unittest.main()
def test_closure(self):
new_120_file = open('vh3l_120_interpolated.txt', 'w')
new_120 = interpolate_card(new_120_file, 'vh3l_110.txt', 110,
'vh3l_130.txt', 130, 120, 'VHww', 'VHtt')
new_120_file.close()
new_120 = read_card('vh3l_120_interpolated.txt')
