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91 lines
3.0 KiB
91 lines
3.0 KiB
import flavio
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from wilson import Wilson
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from uncertainties import ufloat
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angobs = ['FL', 'S3', 'S4', 'S5', 'AFB', 'S7', 'S8', 'S9']
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#angobs = ['P1', 'P2', 'P3', 'P4p', 'P5p', 'P6p', 'P8p']
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#q2bins = [[0.1, 0.98], [1.1, 2.5], [2.5, 4], [4, 6], [6, 8], [11, 12.5], [15, 17], [17, 19]]
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q2bins = [[0.1, 4.0],[4.0,5.0]]#, [4, 8], [11.0,12.5], [15.0,19.0]]
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SMpred, NPpred = {}, {} # to be filled
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# setting Wilson coefficients for NP
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w = Wilson({ 'C9_bsmumu': -1}, scale=160, eft='WET', basis='flavio')
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doNP = False
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doSM = True
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# getting predictions for both SM and NP
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for ibin, q2bin in enumerate(q2bins):
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print(f'Bin {q2bin}')
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SMpred[ibin], NPpred[ibin] = {}, {}
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if (doSM):
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for o in angobs:
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SMpred[ibin][o] = ufloat(flavio.sm_prediction(f'<{o}>(B+->K*mumu)',
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q2min=q2bin[0], q2max=q2bin[1]),
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flavio.sm_uncertainty(f'<{o}>(B+->K*mumu)',
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q2min=q2bin[0], q2max=q2bin[1], N=100)) #N=10k for the final plots, N=100 for the fitter
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if (doNP):
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for o in angobs:
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NPpred[ibin][o] = ufloat(flavio.np_prediction(f'<{o}>(B+->K*mumu)', w,
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q2min=q2bin[0], q2max=q2bin[1]),
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flavio.np_uncertainty(f'<{o}>(B+->K*mumu)', w,
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q2min=q2bin[0], q2max=q2bin[1]))
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# Just printing everything out in human-readable format here
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def printout(dic):
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for ibin, q2bin in enumerate(q2bins):
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print(f'Bin {q2bin}')
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for o in angobs:
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if o=='FL':
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print(f'\tS1s = {3/4*(1-dic[ibin][o])}')
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elif o=='AFB':
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print(f'\tS6s = {4/3*dic[ibin][o]}')
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else:
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print(f'\t{o} = {dic[ibin][o]}')
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def printoutCpp(dic):
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for o in angobs:
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if o=='FL':
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print('\tS1s[8] = {')
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elif o=='AFB':
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print('\tS6s[8] = {')
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else:
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print(f'\t{o}[8] = {{')
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for ibin, q2bin in enumerate(q2bins):
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if o=='FL':
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print(f'{3/4*(1-dic[ibin][o].n)},', end='')
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elif o=='AFB':
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print(f'{4/3*dic[ibin][o].n},', end='')
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else:
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print(f'{dic[ibin][o].n},', end='')
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print(f'}};')
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for o in angobs:
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if o=='FL':
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print('\tS1s_error[8] = {')
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elif o=='AFB':
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print('\tS6s_error[8] = {')
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else:
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print(f'\t{o}_error[8] = {{')
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for ibin, q2bin in enumerate(q2bins):
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if o=='FL':
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print(f'{3/4*(dic[ibin][o].s)},', end='')
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elif o=='AFB':
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print(f'{4/3*dic[ibin][o].s},', end='')
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else:
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print(f'{dic[ibin][o].s},', end='')
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print('};')
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if(doSM):
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print('############## SM predictions #################')
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printout(SMpred)
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printoutCpp(SMpred)
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print('\n\n\n')
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if(doNP):
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print('############## NP predictions #################')
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printout(NPpred)
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printoutCpp(NPpred)
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