def get_obs(cube,ndim):
model='cMSSM'
m0=cube[0]
m12=cube[1]
A0=cube[2]
tanb=cube[3]
mt=cube[4]
mz=cube[5]
Delta_alpha_had=cube[6]
model = 'cMSSM'
all_params={
'SoftSUSY':{
('MINPAR', 'M0'): m0,
('MINPAR', 'M12'): m12,
('MINPAR', 'TB'): tanb,
('MINPAR', 'A'): A0,
('SMINPUTS', 'Mt') : mt,
},
'mc_slha_update':{
('SMINPUTS','MZ') : mz,
},
'SUSY-POPE':{
'non_slha_inputs':{
'DeltaAlfa5had' : Delta_alpha_had,
}
}
}
if 'parameters' in args.verbose :
print(all_params)
if args.tmp_dir:
all_params.update({'tmp_dir':args.tmp_dir})
all_params['lookup']=lookup
all_params['verbose']=args.verbose
try:
slha_obj, combined_obs, stdouts = point.run_point(model=model, **all_params)
except TypeError:
return None
#WARNING: this if for debugging:
# give parameters to the place where a problem occurs and trow it in stderr
del all_params['lookup']
del all_params['verbose']
if ('errors' in args.verbose) :
any_error=False
if not combined_obs:
print("ERROR: in Spectrum Calculator",file=sys.stderr)
any_error=True
else:
for name in ['FeynHiggs','Micromegas','BPhysics','SUSY-POPE']:
if combined_obs[(name,'error')]:
print('ERROR: in {}'.format(name),file=sys.stderr)
any_error=True
if any_error:
print('\nParameters are: {}\n'.format(all_params),file=sys.stderr)
return combined_obs, all_params
def get_obs(cube,ndim):
#make a python list out of the cube
parameters=[cube[i] for i in range(ndim)]
# start from clean directory as input for run_point
all_params={}
all_params.update(predictor_modules)
# add predictors
# Get formatted input. See what is looks like with option "-v inputs"
if args.model == 'cMSSM':
all_params.update( inputs.get_mc_cmssm_inputs(*parameters))
if args.model == 'neg-mu-cMSSM':
all_params.update( inputs.get_mc_neg_mu_cmssm_inputs(*parameters))
if args.model == 'NUHM1':
all_params.update( inputs.get_mc_nuhm1_inputs(*parameters))
if args.model == 'neg-mu-NUHM1':
all_params.update( inputs.get_mc_neg_mu_nuhm1_inputs(*parameters))
if args.model == 'pMSSM8':
all_params.update( inputs.get_mc_pmssm8_inputs(*parameters))
if args.model == 'pMSSM10':
all_params.update( inputs.get_mc_pmssm10_inputs(*parameters))
if 'parameters' in args.verbose:
print(*parameters)
if 'inputs' in args.verbose :
print(all_params)
if args.tmp_dir:
all_params.update({'tmp_dir':args.tmp_dir})
all_params['lookup']=lookup
all_params['verbose']=args.verbose
try:
slha_obj, combined_obs, stdouts = point.run_point( **all_params)
except TypeError:
return None
#WARNING: this if for debugging:
# give parameters to the place where a problem occurs and trow it in stderr
del all_params['lookup']
del all_params['verbose']
if ('errors' in args.verbose) :
if not combined_obs:
print("ERROR: in Spectrum Calculator",file=sys.stderr)
else:
for name in ['FeynHiggs','Micromegas','BPhysics','SUSY-POPE']:
if combined_obs[(name,'error')]:
print('ERROR: in {}'.format(name),file=sys.stderr)
return combined_obs, all_params
def get_obs(cube, ndim):
# FIXME:
m0 = cube[0]
m12 = cube[1]
A0 = cube[2]
tanb = cube[3]
mt = cube[4]
mz = cube[5]
Delta_alpha_had = cube[6]
if args.model == "NUHM1":
mh2 = cube[7]
# Get formatted input, Feel free to have a look !!!
if args.model == "cMSSM":
all_params = inputs.get_mc_cmssm_inputs(m0, m12, tanb, A0, mt, mz, Delta_alpha_had)
if args.model == "NUHM1":
all_params = inputs.get_mc_nuhm1_inputs(m0, m12, tanb, A0, mh2, mt, mz, Delta_alpha_had)
if "parameters" in args.verbose:
print(all_params)
if args.tmp_dir:
all_params.update({"tmp_dir": args.tmp_dir})
all_params["lookup"] = lookup
all_params["verbose"] = args.verbose
try:
slha_obj, combined_obs, stdouts = point.run_point(**all_params)
except TypeError:
return None
# WARNING: this if for debugging:
# give parameters to the place where a problem occurs and trow it in stderr
del all_params["lookup"]
del all_params["verbose"]
if "errors" in args.verbose:
any_error = False
if not combined_obs:
print("ERROR: in Spectrum Calculator", file=sys.stderr)
any_error = True
else:
for name in ["FeynHiggs", "Micromegas", "BPhysics", "SUSY-POPE"]:
if combined_obs[(name, "error")]:
print("ERROR: in {}".format(name), file=sys.stderr)
any_error = True
if any_error:
print("\nParameters are: {}\n".format(all_params), file=sys.stderr)
return combined_obs, all_params
def get_obs(cube,ndim):
model='cMSSM'
m0=cube[0]
m12=cube[1]
input_vars = {
'm0': m0, 'm12': m12, 'A0': -1323.97 , 'tanb': 16.26, 'sgnMu': 1 #MC8 bf
}
other_vars = {
'mt': 173.2,
'mgut': {'cMSSM': 2e16, 'pMSSM': 1.0e3}[model]
}
m_vars = dict(list(input_vars.items()) + list(other_vars.items()))
input_pars={'SoftSUSY':m_vars}
slha_file, observations , stdouts = point.run_point(model=model, **input_pars)
combined_obs = dict(list(slha_file.items()) + list(observations.items()))
return combined_obs
'mtauL': 2.50e+03, 'meR': 2.50e+03, 'mmuR': 2.50e+03,
'mtauR': 2.50e+03, 'mqL1': 3.60e+02, 'mqL2': 3.60e+02,
'mqL3': 2.50e+03, 'muR': 3.60e+02, 'mcR': 3.60e+02,
'mtR': 2.50e+03, 'mdR': 3.60e+02, 'msR': 3.60e+02,
'mbR': 2.50e+03
},
}[model]
other_vars = {
'mt': 173.2,
'mgut': {'cMSSM': 2e16, 'pMSSM': 1.0e3}[model]
}
m_vars = dict(list(input_vars.items()) + list(other_vars.items()))
all_params={'SoftSUSY':m_vars}
slha_file, observations,stdouts = point.run_point(model=model, **all_params)
combined_obs = dict(list(slha_file.items()) + list(observations.items()))
# I think this is the way to do it:
# initialise all constraints
all_constraints=Constraints_list.constraints
# make a dictionary that only contains the constraints you want (e.g. just define on the spot, or read in from a file)
data_set=['xenon100']
constraints={name: all_constraints[name] for name in data_set}
#pass this constraints list to the chi2 function
total, breakdown = Analyse.chi2(combined_obs,constraints)
bpp = pprint.PrettyPrinter(indent=4, depth=3)
# bpp.pprint(combined_obs)
bpp.pprint(breakdown)
def main(args):
#Start with clean set of parameters
all_params={}
#get predictor modules
predictors=User.predictors.get(args.predictors)
predictor_modules=import_predictor_modules(predictors)
all_params.update(predictor_modules)
#FIXME: need to come up with generalised parsing of options to the predictors
#get versions
versions=User.versions.get(args.versions)
for predictor , versions in versions.items():
if predictor==predictors['spectrum_generator']:
try:
all_params[predictor]['version']=versions
except KeyError:
all_params[predictor]={'version':versions}
else:
try:
all_params[predictor]['versions']=versions
except KeyError:
all_params[predictor]={'versions':versions}
#this is afterburner style
if args.mc_cmssm :
all_params.update(inputs.get_mc_cmssm_inputs(*(args.mc_cmssm)))
elif args.mc_cmssm_default:
all_params.update(inputs.get_mc_cmssm_inputs(271.378279475, 920.368119935, 14.4499538001,
-1193.57068242, 173.474173, 91.1877452551, 0.0274821578423))
elif args.mc_neg_mu_cmssm :
all_params.update(inputs.get_mc_neg_mu_cmssm_inputs(*(args.mc_neg_mu_cmssm)))
elif args.mc_nuhm1 :
all_params.update(inputs.get_mc_nuhm1_inputs(*(args.mc_nuhm1)))
elif args.mc_neg_mu_nuhm1 :
all_params.update(inputs.get_mc_neg_mu_nuhm1_inputs(*(args.mc_neg_mu_nuhm1)))
elif args.mc_nuhm1_default :
all_params.update(inputs.get_mc_nuhm1_inputs(237.467776964, 968.808711245, 15.649644, -1858.78698798, -6499529.79661,
173.385870186, 91.1875000682, 0.0274949856504))
elif args.mc_pmssm8 :
all_params.update(inputs.get_mc_pmssm8_inputs(*(args.mc_pmssm8)))
elif args.mc_pmssm10 :
all_params.update(inputs.get_mc_pmssm10_inputs(*(args.mc_pmssm10)))
elif args.mc_pmssm10_default :
all_params.update(inputs.get_mc_pmssm10_inputs(1663.99,1671.75,414.131,294.935,311.199,1712.73,
1841.21,718.489,43.4923,775.09,173.233,91.1874,0.0275018))
elif args.run_softsusy_input_slha:
all_params.update({'SoftSUSY':{'file':args.run_softsusy_input_slha}})
elif args.run_spectrum:
all_params.update({'spectrumfile':args.run_spectrum})
#check for command line input parameters
if args.input_pars is not None:
command_line_dict=eval(args.input_pars)
for key, value in command_line_dict.items():
# if input_pars.get(key) is None:
# input_pars.update
if isinstance(value,dict) and (all_params.get(key) is not None):
all_params[key].update(value)
else:
all_params[key]=value
#check for tmp_dir
if args.tmp_dir:
all_params.update({'tmp_dir':args.tmp_dir})
#print inputs like
if 'inputs' in args.verbose:
print(all_params)
#check verbosity
if args.verbose:
all_params['verbose']=args.verbose
try:
slha_obj, point ,stdouts = POINT.run_point(**all_params)
except TypeError:
print("ERROR: Point failed to run")
exit()
if __name__=="__main__" and slha_obj is None:
print('ERROR: Point fails\nExiting')
exit()
if not args.suppress_chi2_calc:
all_constraints=Constraints_list.constraints
#mc8 data set
try:
data_set=data_sets[args.data_set]
except KeyError:
print("WARNING: \"{}\" invalid data set. No X^2 is calculated".format(args.data_set))
data_set=[]
if not args.suppress_chi2_calc:
constraints={name: all_constraints[name] for name in data_set}
#FIXME: this should become a separate file
#pass this constraints list to the chi2 function
if not args.suppress_chi2_calc:
total, breakdown = Analyse.chi2(point,constraints)
# optional printing
if args.obs:
pp.pprint(point)
if args.breakdown:
Analyse.print_chi2_breakdown(point, constraints,data_set)
# save to root
if args.root_save:
# NOTE: for old_mc_rootstorage, need X^2
point[('tot_X2','all')]=total
root.root_open(args.root_save)
VARS=old_mc_rootstorage.get_VARS(point,point[('m','in_o')])
root.root_write(VARS)
root.root_close()
if args.json_breakdown:
l=[]
for d in data_set:
l.append([d,breakdown[d]])
with open(args.json_breakdown,'w') as f:
json.dump(l,f)
# print only observable keys
if args.observable_keys:
pp.pprint([key for key in point.keys()])
# store observables to piclked file
if args.store_pickle:
with open(args.store_pickle,'wb') as pickle_file:
pickle.dump(point,pickle_file)
#create json file with [('oid1','oid2',array_id), ... ] for storage array ids
if args.create_storage_dict:
point=OrderedDict([(('tot_X2', 'all'),0)]+list(point.items()))
l=[]
i=0
#make list
for key,val in point.items():
oid1,oid2=key
l.append([oid1,oid2,i])
i+=1
#store as json file
with open(args.create_storage_dict,'w') as f:
json.dump(l,f,indent=3)
if args.numpy_out :
if args.storage_dict:
with open(args.storage_dict, 'r') as f:
l=json.load(f)
d={(oid1,oid2):array_id for oid1,oid2, array_id in l}
#start with list of None's
vars=[None]*len(d)
#Fill with values
for oids, val in point.items():
vars[d[oids]]=val
dt=numpy.dtype(len(vars)*[('','f')])
vars=numpy.array(tuple(vars),dtype=dt)
try:
a=numpy.load(args.numpy_out)
print(args.numpy_out,'exists. Appending')
a=numpy.append(a,vars)
except FileNotFoundError:
print('creating: ', args.numpy_out)
a=vars
numpy.save(args.numpy_out,a)
#FIXME: we may want a better way of doing this
return slha_obj, point ,stdouts
'MW-mc-old','Bsmumu','R(Delta_md)','D_0(K*g)','mc-old-bsmm']
constraints={name: all_constraints[name] for name in data_set}
bpp = pprint.PrettyPrinter(indent=4, depth=3)
for count, spec in enumerate(args.input_spectrum):
if args.nmax and count>=args.nmax: break
all_params['spectrumfile']=spec
#the input for DeltaAlfa5had has to be hard-coded like in SUSY-POPE
all_params['SUSY-POPE']={'non_slha_inputs':{'DeltaAlfa5had': 0.02758}}
#check verbosity
if args.verbose:
all_params['verbose']=args.verbose
try:
slha_obj, combined_obs, stdouts = point.run_point(model='dummy', **all_params)
except TypeError:
print("ERROR: Point failed to run")
continue
#pass this constraints list to the chi2 function
total, breakdown = Analyse.chi2(combined_obs,constraints)
# optional printing
if args.obs:
bpp.pprint(combined_obs)
if args.breakdown:
bpp.pprint(breakdown)
print('Total chi2:',total)
def pmssm10_chi2(msq12,msq3,msl, M1,M2,M3, A, MA,tanb,mu,mt,mz,Delta_alpha_had):
input_pars=inputs.get_mc_pmssm10_inputs(msq12,msq3,msl, M1,M2,M3, A, MA,tanb,mu,mt,mz,Delta_alpha_had)
slha_obj, observables ,stdouts= point.run_point(**input_pars)
#pass this constraints list to the chi2 function
total, breakdown = Analyse.chi2(observables,constraints)
return total
def cmssm_chi2(m0,m12,c,d,e,f,g):
input_pars=inputs.get_mc_cmssm_inputs(m0,m12,c,d,e,f,g)
slha_obj, observables ,stdouts= point.run_point(**input_pars)
#pass this constraints list to the chi2 function
total, breakdown = Analyse.chi2(observables,constraints)
return total
