def para_md(args):
para = 'md'
namestyle = 'fname'
rnd = '0.0000001'
tag = 's'
tab_A = args[0]
tab_B = args[1]
latel_A = tab_A
latel_B = tab_B
label = tools.parseopts_set(opts.set, 'label')
if label:
labels = label.split(',')
label_A = labels[0]
label_B = labels[1]
tab = DHadTable()
tab.column_append_from_dict('Mode', namestyle)
tab.column_append_from_fit_files(label_A, tab_A, para, tag, rnd)
tab.column_append_from_fit_files(label_B, tab_B, para, tag, rnd)
tab.column_append_by_diff('diff[MeV]', label_B,label_A, rnd=rnd, factor=1000)
tab.output(_tabname)
def diff(args):
label= None
if opts.set:
for li in opts.set.split(':'):
name = li.split('=')[0]
value = li.split('=')[1]
sys.stdout.write('Set %s = %s \n' % (name, value))
if name == 'label':
label = value
if label:
labels = label.split(',')
label_A = labels[0]
label_B = labels[1]
tab_A = 'compare_%s.txt' % args[0]
tab_B = 'compare_%s.txt' % args[1]
tabfile_A = os.path.join(attr.tabpath, tab_A)
tabfile_B = os.path.join(attr.tabpath, tab_B)
tab = DHadTable()
tab.column_append_from_tab_file('Mode', tabfile_A, 'Mode')
tab.column_append_from_tab_file(label_A, tabfile_A, 'diff(%)')
tab.column_append_from_tab_file(label_B, tabfile_B, 'diff(%)')
tab.column_append_by_diff('diff', label_B,label_A)
tab.output(_tabname)
def fsr_syst(args):
'''
--------------------
FSR systematics
--------------------
'''
tab_name = 'FSR_syst'
tabbase = os.path.join(attr.base, '7.06', 'tab')
tab = DHadTable()
tab.column_append_from_dict('Mode', 'fname,fnamebar')
tab_file = os.path.join(tabbase, 'noFSR_single_signal_eff.txt')
columnA = 'Efficiency without FSR(%)'
tab.column_append_from_tab_file(columnA, tab_file)
columnB = 'Efficiency with FSR(%)'
tab.column_append_from_tab_file(columnB, tab_file)
tab.column_append_by_diff('diff(%)', columnA, columnB, factor=100)
tab.column_append_by_times_number('diff X 30%', 'diff(%)', '0.3',
rnd='.01')
tab.rows_join_by_max('diff X 30%')
tab.output(tab_name)
