def setUp(self):
"""load the model"""
import madgraph.interface.master_interface as interface
cmd = interface.MasterCmd()
cmd.do_import('model sm')
self.mybasemodel = cmd._curr_model
self.mybasemodel.change_mass_to_complex_scheme()
leg1 = base_objects.Leg({'id': 22, 'state': False})
leg2 = base_objects.Leg({'id': 24, 'state': False})
leg3 = base_objects.Leg({'id': 22, 'state': True})
leg4 = base_objects.Leg({'id': 24, 'state': True})
leg5 = base_objects.Leg({'id': 23, 'state': True})
legList1 = base_objects.LegList([leg1, leg2, leg3, leg4, leg5])
myproc = base_objects.Process({
'legs': legList1,
'model': self.mybasemodel
})
myamplitude = diagram_generation.Amplitude({'process': myproc})
self.mymatrixelement = helas_objects.HelasMatrixElement(myamplitude)
def test_check_u_u_six_g(self):
"""Test the process u u > six g against literature expression"""
myleglist = base_objects.LegList()
myleglist.append(base_objects.Leg({'id':2,
'state':False,
'number': 1}))
myleglist.append(base_objects.Leg({'id':2,
'state':False,
'number': 2}))
myleglist.append(base_objects.Leg({'id':9000006,
'state':True,
'number': 3}))
myleglist.append(base_objects.Leg({'id':21,
'state':True,
'number': 4}))
myproc = base_objects.Process({'legs':myleglist,
'model':self.base_model})
comparison_results, used_lorentz = \
process_checks.check_processes(myproc,
quick=True)
self.assertTrue(comparison_results[0]['passed'])
def def_diagrams_epemddx(self):
""" Test the drawing of diagrams from the loop process e+e- > dd~ """
myleglist = base_objects.LegList()
myleglist.append(base_objects.Leg({'id': -11, 'state': False}))
myleglist.append(base_objects.Leg({'id': 11, 'state': False}))
myleglist.append(base_objects.Leg({'id': 1, 'state': True}))
myleglist.append(base_objects.Leg({'id': -1, 'state': True}))
myproc = base_objects.Process({
'legs': myleglist,
'model': self.myloopmodel,
'orders': {},
'perturbation_couplings': [
'QCD',
],
'squared_orders': {}
})
myloopamplitude = loop_diagram_generation.LoopAmplitude()
myloopamplitude.set('process', myproc)
myloopamplitude.generate_diagrams()
# Now the drawing test on myloopamplitude['loop_diagrams']
return myloopamplitude['loop_diagrams']
def test_uu_to_six_g(self):
"""Test the process u u > six g against literature expression"""
myleglist = base_objects.LegList()
myleglist.append(base_objects.Leg({'id':2,
'state':False,
'number': 1}))
myleglist.append(base_objects.Leg({'id':2,
'state':False,
'number': 2}))
myleglist.append(base_objects.Leg({'id':9000006,
'state':True,
'number': 3}))
myleglist.append(base_objects.Leg({'id':21,
'state':True,
'number': 4}))
myproc = base_objects.Process({'legs':myleglist,
'model':self.base_model})
evaluator = process_checks.MatrixElementEvaluator(self.base_model,
reuse = False)
p, w_rambo = evaluator.get_momenta(myproc)
amplitude = diagram_generation.Amplitude(myproc)
matrix_element = helas_objects.HelasMatrixElement(amplitude)
mg5_me_value, amp2 = evaluator.evaluate_matrix_element(matrix_element,
p)
comparison_value = uu_Dg(p, 6, evaluator.full_model)
self.assertAlmostEqual(mg5_me_value, comparison_value, 12)
def combine_ij(i, j, model, dict, pert='QCD'): #test written
"""checks whether FKSlegs i and j can be combined together in the given model
and with given perturbation order and if so combines them into ij.
If dict is empty it is initialized with find_pert_particles_interactions
"""
if dict == {}:
dict = find_pert_particles_interactions(model, pert)
ij = []
num = copy.copy(min(i.get('number'), j.get('number')))
# we do not want j being a massiless vector unless also i is or j is initial
not_double_counting = (j.get('spin') == 3 and j.get('massless') and
i.get('spin') == 3 and i.get('massless')) or \
j.get('spin') != 3 or not j.get('massless') or \
not j.get('state')
#if i and j are a final state particle and antiparticle pair,
# then we want i to be antipart and j to be
if j.get('state') and j.get('id') == -i.get('id'):
not_double_counting = not_double_counting and j.get('id') > 0
if i.get('id') in dict['soft_particles'] and \
j.get('id') in dict['pert_particles'] and \
i.get('state') and not_double_counting:
for int in dict['interactions']:
parts = copy.copy(int['particles'])
#remove i
try:
parts.remove(model.get('particle_dict')[i.get('id')])
except ValueError:
continue
#remove j if final state, anti j if initial state
if j.get('state'):
j_id = j.get('id')
else:
j_id = model.get('particle_dict')[j.get(
'id')].get_anti_pdg_code()
try:
parts.remove(model.get('particle_dict')[j_id])
except ValueError:
continue
#ij is what remains if j is initial, the anti of if j is final
if j.get('state'):
ij.append(
MG.Leg({
'id': parts[0].get_anti_pdg_code(),
'state': True,
'number': num
}))
else:
ij.append(
MG.Leg({
'id': parts[0].get_pdg_code(),
'state': False,
'number': num
}))
return to_fks_legs(ij, model)
def test_colorize_uu_gg(self):
"""Test the colorize function for uu~ > gg"""
myleglist = base_objects.LegList()
myleglist.append(base_objects.Leg({'id': -2, 'state': False}))
myleglist.append(base_objects.Leg({'id': 2, 'state': False}))
myleglist.extend([base_objects.Leg({'id': 21, 'state': True})] * 2)
myprocess = base_objects.Process({
'legs': myleglist,
'model': self.mymodel
})
myamplitude = diagram_generation.Amplitude()
myamplitude.set('process', myprocess)
myamplitude.generate_diagrams()
my_col_basis = color_amp.ColorBasis()
# S channel
col_dict = my_col_basis.colorize(myamplitude['diagrams'][0],
self.mymodel)
goal_dict = {
(0, 0):
color.ColorString([color.T(-1000, 1, 2),
color.f(3, 4, -1000)])
}
self.assertEqual(col_dict, goal_dict)
# T channel
col_dict = my_col_basis.colorize(myamplitude['diagrams'][1],
self.mymodel)
goal_dict = {
(0, 0):
color.ColorString([color.T(3, 1, -1000),
color.T(4, -1000, 2)])
}
self.assertEqual(col_dict, goal_dict)
# U channel
col_dict = my_col_basis.colorize(myamplitude['diagrams'][2],
self.mymodel)
goal_dict = {
(0, 0):
color.ColorString([color.T(4, 1, -1000),
color.T(3, -1000, 2)])
}
self.assertEqual(col_dict, goal_dict)
def test_get_s_and_t_ub_tdg(self):
"""test that for the single-top (ub>tdg) the s-and t-channels are correctly
returned"""
myleglist = MG.LegList()
myleglist.append(MG.Leg({'id': 2, 'state': False}))
myleglist.append(MG.Leg({'id': 5, 'state': False}))
myleglist.append(MG.Leg({'id': 6, 'state': True}))
myleglist.append(MG.Leg({'id': 1, 'state': True}))
myleglist.append(MG.Leg({'id': 21, 'state': True}))
proc = MG.Process({
'legs': myleglist,
'model': self.base_model,
'orders': {
'QCD': 1,
'QED': 2
}
})
me = helas_objects.HelasMatrixElement(
diagram_generation.Amplitude(proc))
#without flipping: s-and-t channel legs
# note that leg 2 never appears
target = [[[1, 4, -1], [-1, 3, -2], [-2, 5, -3]],
[[5, 3, -1], [1, 4, -2], [-2, -1, -3]],
[[1, 5, -1], [-1, 4, -2], [-2, 3, -3]],
[[5, 4, -1], [1, -1, -2], [-2, 3, -3]]]
#if we flip the s-and-t channel legs should be
# note that leg 1 never appears
target_flip = [[[2, 5, -1], [-1, 3, -2], [-2, 4, -3]],
[[5, 3, -1], [2, -1, -2], [-2, 4, -3]],
[[2, 3, -1], [-1, 4, -2], [-2, 5, -3]],
[[5, 4, -1], [2, 3, -2], [-2, -1, -3]]]
for id, diag in enumerate(me.get('diagrams')):
s_ch, t_ch = diag.get('amplitudes')[0].get_s_and_t_channels(
ninitial=2,
model=self.base_model,
new_pdg=7,
reverse_t_ch=False)
self.assertEqual( [ [l['number'] for l in v['legs']] for v in s_ch] + \
[ [l['number'] for l in v['legs']] for v in t_ch] ,
target[id])
for id, diag in enumerate(me.get('diagrams')):
s_ch, t_ch = diag.get('amplitudes')[0].get_s_and_t_channels(
ninitial=2,
model=self.base_model,
new_pdg=7,
reverse_t_ch=True)
self.assertEqual( [ [l['number'] for l in v['legs']] for v in s_ch] + \
[ [l['number'] for l in v['legs']] for v in t_ch] ,
target_flip[id])
def test_find_symmetry_decay_chain_with_subprocess_group(self):
"""Test the find_symmetry function for subprocess groups"""
procs = [[2, -1, 24, 21, 21], [-3, 4, 24, 21, 21]]
decays = [[24, -11, 12], [24, -13, 14]]
amplitudes = diagram_generation.AmplitudeList()
decay_amps = diagram_generation.DecayChainAmplitudeList()
for proc, decay in zip(procs, decays):
# Define the multiprocess
my_leglist = base_objects.LegList([\
base_objects.Leg({'id': id, 'state': True}) for id in proc])
my_leglist[0].set('state', False)
my_leglist[1].set('state', False)
my_decaylegs = base_objects.LegList([\
base_objects.Leg({'id': id, 'state': True}) for id in decay])
my_decaylegs[0].set('state', False)
my_process = base_objects.Process({
'legs': my_leglist,
'model': self.base_model
})
my_decay_proc = base_objects.Process({
'legs': my_decaylegs,
'model': self.base_model,
'is_decay_chain': True
})
my_amplitude = diagram_generation.Amplitude(my_process)
my_decay = diagram_generation.DecayChainAmplitude(my_decay_proc)
amplitudes.append(my_amplitude)
decay_amps.append(my_decay)
amplitudes = diagram_generation.DecayChainAmplitudeList([\
diagram_generation.DecayChainAmplitude({\
'amplitudes': amplitudes,
'decay_chains': decay_amps})])
subproc_groups = \
group_subprocs.DecayChainSubProcessGroup.group_amplitudes(\
amplitudes,"madevent").generate_helas_decay_chain_subproc_groups()
self.assertEqual(len(subproc_groups), 1)
subproc_group = subproc_groups[0]
self.assertEqual(len(subproc_group.get('matrix_elements')), 2)
symmetry, perms, ident_perms = diagram_symmetry.find_symmetry(\
subproc_group)
self.assertEqual(len([s for s in symmetry if s > 0]), 5)
self.assertEqual(symmetry, [1, -1, 1, 1, 1, -4, -5, 1])
def __init__(self, dimensions, rust_worker, SG_info, model, h_function, hyperparameters, debug=0, **opts):
self.rust_worker = rust_worker
self.model = model
self.SG_info = SG_info
self.dimensions = dimensions
self.h_function = h_function
self.debug = debug
self.topology = (
# s-channels first:
base_objects.VertexList([]),
# t-channels then:
base_objects.VertexList([
# The dummy vertex below is just to close the diagram and connect
# with the number -3 which is to be understood here as the initial state #2.
base_objects.Vertex({
'id': DUMMY, # Irrelevant
'legs': base_objects.LegList([
base_objects.Leg({
'id': 11,
'number': -2,
'state': FINAL,
}),
base_objects.Leg({
'id': 23,
'number': -1,
'state': FINAL,
}),
base_objects.Leg({
'id': -11,
'number': -3,
'state': INITIAL,
})
])
}),
])
)
E_cm = math.sqrt(max(sum(LorentzVector(vec) for vec in hyperparameters['CrossSection']['incoming_momenta']).square(),0.0))
self.generator = PS.SingleChannelPhasespace([0.]*2, [0.]*3,
beam_Es =(E_cm/2.,E_cm/2.), beam_types=(0,0),
model=model, topology=self.topology, path = [[0,],[]],
dimensions = self.dimensions
)
print("Considering the following topology:")
print("-"*10)
print(self.generator.get_topology_string(self.generator.topology, path_to_print=self.generator.path))
print("-"*10)
def test_get_momenta(self):
"""Test the get_momenta function"""
myleglist = base_objects.LegList()
myleglist.append(base_objects.Leg({'id':-11,
'state':False,
'number': 1}))
myleglist.append(base_objects.Leg({'id':11,
'state':False,
'number': 2}))
myleglist.append(base_objects.Leg({'id':22,
'state':True,
'number': 3}))
myleglist.append(base_objects.Leg({'id':22,
'state':True,
'number': 4}))
myleglist.append(base_objects.Leg({'id':23,
'state':True,
'number': 5}))
myproc = base_objects.Process({'legs':myleglist,
'model':self.base_model})
evaluator = process_checks.MatrixElementEvaluator(self.base_model)
full_model = evaluator.full_model
p, w_rambo = evaluator.get_momenta(myproc)
# Check massless external momenta
for mom in p[:-1]:
mass = mom[0]**2-(mom[1]**2+mom[2]**2+mom[3]**2)
self.assertAlmostEqual(mass, 0., 8)
mom = p[-1]
mass = math.sqrt(mom[0]**2-(mom[1]**2+mom[2]**2+mom[3]**2))
self.assertAlmostEqual(mass,
full_model.get('parameter_dict')['mdl_MZ'],
8)
# Check momentum balance
outgoing = [0]*4
incoming = [0]*4
for i in range(4):
incoming[i] = sum([mom[i] for mom in p[:2]])
outgoing[i] = sum([mom[i] for mom in p[2:]])
self.assertAlmostEqual(incoming[i], outgoing[i], 8)
# Check non-zero final state momenta
for mom in p[2:]:
for i in range(4):
self.assertTrue(abs(mom[i]) > 0.)
def test_comparison_for_process(self):
"""Test check process for e+ e- > a Z"""
myleglist = base_objects.LegList()
myleglist.append(base_objects.Leg({'id':-11,
'state':False}))
myleglist.append(base_objects.Leg({'id':11,
'state':False}))
myleglist.append(base_objects.Leg({'id':22,
'state':True}))
myleglist.append(base_objects.Leg({'id':23,
'state':True}))
myproc = base_objects.Process({'legs':myleglist,
'model':self.base_model})
process_checks.clean_added_globals(process_checks.ADDED_GLOBAL)
comparison = process_checks.check_processes(myproc)[0][0]
self.assertEqual(len(comparison['values']), 8)
self.assertTrue(comparison['values'][0] > 0)
self.assertTrue(comparison['passed'])
comparison = process_checks.check_gauge(myproc)
#check number of helicities/jamp
nb_hel = []
nb_jamp = []
for one_comp in comparison:
nb_hel.append(len(one_comp['value']['jamp']))
nb_jamp.append(len(one_comp['value']['jamp'][0]))
self.assertEqual(nb_hel, [24])
self.assertEqual(nb_jamp, [1])
nb_fail = process_checks.output_gauge(comparison, output='fail')
self.assertEqual(nb_fail, 0)
comparison = process_checks.check_lorentz(myproc)
#check number of helicities/jamp
nb_hel = []
nb_jamp = []
for one_comp in comparison:
nb_hel.append(len(one_comp['results'][0]['jamp']))
nb_jamp.append(len(one_comp['results'][0]['jamp'][0]))
self.assertEqual(nb_hel, [24])
self.assertEqual(nb_jamp, [1])
nb_fail = process_checks.output_lorentz_inv(comparison, output='fail')
self.assertEqual(0, nb_fail)
def test_find_symmetry_uu_tt_with_subprocess_group(self):
"""Test the find_symmetry function for subprocess groups"""
procs = [[2,2,6,6]]
amplitudes = diagram_generation.AmplitudeList()
for proc in procs:
# Define the multiprocess
my_leglist = base_objects.LegList([\
base_objects.Leg({'id': id, 'state': True}) for id in proc])
my_leglist[0].set('state', False)
my_leglist[1].set('state', False)
my_process = base_objects.Process({'legs':my_leglist,
'model':self.base_model_4ferm})
my_amplitude = diagram_generation.Amplitude(my_process)
amplitudes.append(my_amplitude)
subproc_group = \
group_subprocs.SubProcessGroup.group_amplitudes(amplitudes, "madevent")[0]
symmetry, perms, ident_perms = diagram_symmetry.find_symmetry(\
subproc_group)
self.assertEqual(len([s for s in symmetry if s > 0]), 1)
self.assertEqual(symmetry,
[1])
return
def make_legs(model):
# global var
global full_leglist, full_vertexlist, full_vertexlist_newindex
#Prepare the leglist
for pid in model.get('particle_dict').keys():
full_leglist[pid] = base_objects.Leg({'id': pid})
def addIOTestsForProcess(self,
testName,
testFolder,
particles_ids,
exporters,
orders,
files_to_check=IOTests.IOTest.all_files,
perturbation_couplings=['QCD'],
NLO_mode='virt',
model=None,
fortran_model=None):
""" Simply adds a test for the process defined and all the exporters
specified."""
if model == None:
model = self.models['loop_sm']
if fortran_model == None:
fortran_model = self.fortran_models['fortran_model']
needed = False
if not isinstance(exporters, dict):
if self.need(testFolder, testName):
needed = True
elif any(self.need('%s_%s'%(testFolder,exporter) ,testName) for \
exporter in exporters.keys()):
needed = True
if not needed:
return
myleglist = base_objects.LegList()
for i, pid in enumerate(particles_ids):
myleglist.append(
base_objects.Leg({
'id': pid,
'state': False if i < 2 else True
}))
myproc = base_objects.Process({
'legs': myleglist,
'model': model,
'orders': orders,
'perturbation_couplings': perturbation_couplings,
'NLO_mode': NLO_mode
})
# Exporter directly given
if not isinstance(exporters, dict):
test_list = [(testFolder, exporters)]
# Several exporters given in a dictionary
else:
test_list = [('%s_%s'%(testFolder,exp),exporters[exp]) for exp in \
exporters.keys()]
for (folderName, exporter) in test_list:
if self.need(folderName, testName):
self.addIOTest(folderName,testName, IOTests.IOTest(\
procdef=myproc,
exporter=exporter,
helasModel=fortran_model,
testedFiles=files_to_check,
outputPath=_proc_file_path))
def test_find_symmetry_epem_aaa(self):
"""Test the find_symmetry function"""
myleglist = base_objects.LegList()
myleglist.append(base_objects.Leg({'id':-11,
'state':False}))
myleglist.append(base_objects.Leg({'id':11,
'state':False}))
myleglist.append(base_objects.Leg({'id':22,
'state':True}))
myleglist.append(base_objects.Leg({'id':22,
'state':True}))
myleglist.append(base_objects.Leg({'id':22,
'state':True}))
myproc = base_objects.Process({'legs':myleglist,
'model':self.base_model})
myamplitude = diagram_generation.Amplitude(myproc)
matrix_element = helas_objects.HelasMatrixElement(myamplitude)
symmetry, perms, ident_perms = diagram_symmetry.find_symmetry(matrix_element)
self.assertEqual(symmetry, [6,-1,-1,-1,-1,-1])
# Check that the momentum assignments work
process = matrix_element.get('processes')[0]
evaluator = process_checks.MatrixElementEvaluator(self.base_model,
auth_skipping = True,
reuse = True)
p, w_rambo = evaluator.get_momenta(process)
me_value, amp2_org = evaluator.evaluate_matrix_element(\
matrix_element, p)
for isym, (sym, perm) in enumerate(zip(symmetry, perms)):
new_p = [p[i] for i in perm]
if sym >= 0:
continue
me_value, amp2 = evaluator.evaluate_matrix_element(matrix_element,
new_p)
self.assertAlmostEqual(amp2[isym], amp2_org[-sym-1])
def test_find_symmetry_qq_qqg_with_subprocess_group(self):
"""Test the find_symmetry function for subprocess groups"""
procs = [[2,-2,2,-2,21], [2,2,2,2,21]]
amplitudes = diagram_generation.AmplitudeList()
for proc in procs:
# Define the multiprocess
my_leglist = base_objects.LegList([\
base_objects.Leg({'id': id, 'state': True}) for id in proc])
my_leglist[0].set('state', False)
my_leglist[1].set('state', False)
my_process = base_objects.Process({'legs':my_leglist,
'model':self.base_model})
my_amplitude = diagram_generation.Amplitude(my_process)
amplitudes.append(my_amplitude)
subproc_group = \
group_subprocs.SubProcessGroup.group_amplitudes(amplitudes,"madevent")[0]
symmetry, perms, ident_perms = diagram_symmetry.find_symmetry(\
subproc_group)
self.assertEqual(len([s for s in symmetry if s > 0]), 19)
self.assertEqual(symmetry,[1, 1, 1, 1, -2, -3, -4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, -8, -9, -10, -11, -12, -13, -14, -18, -19])
return
# The test below doesn't apply with the new way of determining
# config symmetry for subprocess groups, since we don't demand
# that symmetric diagrams have identical particles.
# Check that the momentum assignments work
matrix_element = \
subproc_group.get('matrix_elements')[1]
process = matrix_element.get('processes')[0]
evaluator = process_checks.MatrixElementEvaluator(self.base_model,
auth_skipping = True,
reuse = True)
p, w_rambo = evaluator.get_momenta(process)
me_value, amp2_org = evaluator.evaluate_matrix_element(\
matrix_element, p)
for isym, (sym, perm) in enumerate(zip(symmetry, perms)):
new_p = [p[i] for i in perm]
if sym >= 0:
continue
iamp = subproc_group.get('diagram_maps')[1].index(isym+1)
isymamp = subproc_group.get('diagram_maps')[1].index(-sym)
me_value, amp2 = evaluator.evaluate_matrix_element(\
matrix_element, new_p)
self.assertAlmostEqual(amp2[iamp], amp2_org[isymamp])
def to_leg(fksleg):
"""Given a FKSLeg, returns the original Leg.
"""
leg = MG.Leg( \
{'id': fksleg.get('id'),
'number': fksleg.get('number'),
'state': fksleg.get('state'),
'from_group': fksleg.get('from_group'),
})
return leg
def test_rotate_momenta(self):
"""Test that matrix element and amp2 identical for rotated momenta"""
myleglist = base_objects.LegList()
myleglist.append(base_objects.Leg({'id':2,
'state':False}))
myleglist.append(base_objects.Leg({'id':-2,
'state':False}))
myleglist.append(base_objects.Leg({'id':2,
'state':True}))
myleglist.append(base_objects.Leg({'id':-2,
'state':True}))
myleglist.append(base_objects.Leg({'id':21,
'state':True}))
myproc = base_objects.Process({'legs':myleglist,
'model':self.base_model})
myamp = diagram_generation.Amplitude(myproc)
matrix_element = helas_objects.HelasMatrixElement(myamp)
evaluator = process_checks.MatrixElementEvaluator(self.base_model,
auth_skipping = True,
reuse = True)
p, w_rambo = evaluator.get_momenta(myproc)
me_val, amp2 = evaluator.evaluate_matrix_element(\
matrix_element,p)
# Rotate momenta around x axis
for mom in p:
mom[2] = -mom[2]
mom[3] = -mom[3]
new_me_val, new_amp2 = evaluator.evaluate_matrix_element(\
matrix_element, p)
self.assertAlmostEqual(me_val, new_me_val, 10)
for amp, new_amp in zip(amp2, new_amp2):
self.assertAlmostEqual(amp, new_amp, 10)
def uu_to_ttng_test(self, nglue = 0):
"""Test the process u u > t t g for 4fermion models"""
myleglist = base_objects.LegList()
myleglist.append(base_objects.Leg({'id':2,
'state':False}))
myleglist.append(base_objects.Leg({'id':2,
'state':False}))
myleglist.append(base_objects.Leg({'id':6}))
myleglist.append(base_objects.Leg({'id':6}))
myleglist.extend([base_objects.Leg({'id':21}) for i in range(nglue)])
values = {}
p = None
for model in 'scalar', '4ferm':
base_model = eval('self.base_model_%s' % model)
full_model = eval('self.full_model_%s' % model)
myproc = base_objects.Process({'legs':myleglist,
'model':base_model})
evaluator = process_checks.MatrixElementEvaluator(base_model,
reuse = False)
evaluator.full_model = full_model
if not p:
p, w_rambo = evaluator.get_momenta(myproc)
amplitude = diagram_generation.Amplitude(myproc)
matrix_element = helas_objects.HelasMatrixElement(amplitude)
stored_quantities = {}
values[model] = evaluator.evaluate_matrix_element(matrix_element,
p)[0]
self.assertAlmostEqual(values['scalar'], values['4ferm'], 3)
def test_failed_process(self):
"""Test that check process fails for wrong color-Lorentz."""
# Change 4g interaction so color and lorentz don't agree
id = [int.get('id') for int in self.base_model.get('interactions')
if [p['pdg_code'] for p in int['particles']] == [21,21,21,21]][0]
gggg = self.base_model.get_interaction(id)
assert [p['pdg_code'] for p in gggg['particles']] == [21,21,21,21]
gggg.set('lorentz', ['VVVV1', 'VVVV4', 'VVVV3'])
myleglist = base_objects.LegList()
myleglist.append(base_objects.Leg({'id':21,
'state':False}))
myleglist.append(base_objects.Leg({'id':21,
'state':False}))
myleglist.append(base_objects.Leg({'id':21,
'state':True}))
myleglist.append(base_objects.Leg({'id':21,
'state':True}))
myproc = base_objects.Process({'legs':myleglist,
'model':self.base_model})
process_checks.clean_added_globals(process_checks.ADDED_GLOBAL)
comparison = process_checks.check_processes(myproc)[0][0]
self.assertFalse(comparison['passed'])
comparison = process_checks.check_processes(myproc, quick = True)[0][0]
self.assertFalse(comparison['passed'])
comparison = process_checks.check_gauge(myproc)
nb_fail = process_checks.output_gauge(comparison, output='fail')
self.assertNotEqual(nb_fail, 0)
comparison = process_checks.check_lorentz(myproc)
nb_fail = process_checks.output_lorentz_inv(comparison, output='fail')
self.assertNotEqual(0, nb_fail)
def test_color_matrix_Nc_restrictions(self):
"""Test the Nc power restriction during color basis building """
goal = [
fractions.Fraction(3, 8),
fractions.Fraction(-9, 4),
fractions.Fraction(45, 16)
]
for n in range(3):
myleglist = base_objects.LegList()
myleglist.append(base_objects.Leg({'id': 21, 'state': False}))
myleglist.append(base_objects.Leg({'id': 21, 'state': False}))
myleglist.extend([base_objects.Leg({'id': 21, 'state': True})] * 2)
myprocess = base_objects.Process({
'legs': myleglist,
'model': self.mymodel
})
myamplitude = diagram_generation.Amplitude()
myamplitude.set('process', myprocess)
myamplitude.generate_diagrams()
col_basis = color_amp.ColorBasis(myamplitude)
col_matrix = color_amp.ColorMatrix(col_basis,
Nc=3,
Nc_power_min=n,
Nc_power_max=2 * n)
for i in range(len(col_basis.items())):
self.assertEqual(col_matrix.col_matrix_fixed_Nc[(i, i)],
(goal[n], 0))
def test_fks_helas_real_process_init(self):
"""tests the correct initialization of an FKSHelasRealProcess, from a
FKSRealProc. The process uu~>dd~ is used as born.
For the real we use uu~>dd~(j) g(i).
We test The correct initialization of:
--i/j fks
--permutation
--matrix element
"""
#uu~> dd~
fks3 = fks_base.FKSProcess(self.myproc3)
fksleglist = copy.copy(
fks_common.to_fks_legs(self.myleglist3, self.mymodel))
amplist = []
amp_id_list = []
me_list = []
me_id_list = []
fksleglist.append(
fks_common.to_fks_leg(
MG.Leg({
'id': 21,
'state': True,
'number': 5,
'from_group': True
}), self.mymodel))
fksleglist[0]['fks'] = 'n'
fksleglist[1]['fks'] = 'n'
fksleglist[2]['fks'] = 'n'
fksleglist[3]['fks'] = 'j'
fksleglist[4]['fks'] = 'i'
real_proc = fks_base.FKSRealProcess(fks3.born_proc, fksleglist, 4, 0)
real_proc.generate_real_amplitude()
helas_real_proc = fks_helas.FKSHelasRealProcess(
real_proc, me_list, me_id_list)
self.assertEqual(helas_real_proc.fks_infos, [{
'i': 5,
'j': 4,
'ij': 4,
'ij_glu': 0,
'need_color_links': True
}])
target_me = helas_objects.HelasMatrixElement(real_proc.amplitude)
self.assertEqual(helas_real_proc.matrix_element, target_me)
self.assertEqual(helas_real_proc.matrix_element.get('color_matrix'),
target_me.get('color_matrix'))
def def_pent(self):
""" Test the gg>gggg d*dx* tagging of a quark pentagon which is tagged"""
# Five gluon legs with two initial states
myleglist = base_objects.LegList([base_objects.Leg({'id':21,
'number':num,
'loop_line':False}) \
for num in range(1, 7)])
myleglist.append(base_objects.Leg({'id':1,'number':7,'loop_line':True}))
myleglist.append(base_objects.Leg({'id':-1,'number':8,'loop_line':True}))
l1=myleglist[0]
l2=myleglist[1]
l3=myleglist[2]
l4=myleglist[3]
l5=myleglist[4]
l6=myleglist[5]
l7=myleglist[6]
l8=myleglist[7]
# One way of constructing this diagram, with a three-point amplitude
l17 = base_objects.Leg({'id':1,'number':1,'loop_line':True})
l12 = base_objects.Leg({'id':1,'number':1,'loop_line':True})
l68 = base_objects.Leg({'id':-1,'number':6,'loop_line':True})
l56 = base_objects.Leg({'id':-1,'number':5,'loop_line':True})
l34 = base_objects.Leg({'id':21,'number':3,'loop_line':False})
self.myproc.set('legs',myleglist)
vx17 = base_objects.Vertex({'legs':base_objects.LegList([l1, l7, l17]), 'id': 3})
vx12 = base_objects.Vertex({'legs':base_objects.LegList([l17, l2, l12]), 'id': 3})
vx68 = base_objects.Vertex({'legs':base_objects.LegList([l6, l8, l68]), 'id': 3})
vx56 = base_objects.Vertex({'legs':base_objects.LegList([l5, l68, l56]), 'id': 3})
vx34 = base_objects.Vertex({'legs':base_objects.LegList([l3, l4, l34]), 'id': 1})
vx135 = base_objects.Vertex({'legs':base_objects.LegList([l12, l56, l34]), 'id': 3})
myVertexList1=base_objects.VertexList([vx17,vx12,vx68,vx56,vx34,vx135])
myPentaDiag1=loop_base_objects.LoopDiagram({'vertices':myVertexList1,'type':1})
myStructRep=loop_base_objects.FDStructureList()
myPentaDiag1.tag(myStructRep,7,8,self.myproc)
return myPentaDiag1,myStructRep
def def_box(self):
""" Test the drawing of a simple loop box """
myleglist = base_objects.LegList([base_objects.Leg({'id':21,
'number':num, 'state':True,
'loop_line':False}) \
for num in range(1, 5)])
myleglist.append(base_objects.Leg({'id':1,'number':5,'loop_line':True}))
myleglist.append(base_objects.Leg({'id':-1,'number':6,'loop_line':True}))
l1=myleglist[0]
l1.set('state',False)
l2=myleglist[1]
l2.set('state',False)
l3=myleglist[2]
l4=myleglist[3]
l5=myleglist[4]
l6=myleglist[5]
# One way of constructing this diagram, with a three-point amplitude
l15 = base_objects.Leg({'id':1,'number':1,'loop_line':True, 'state':False})
l12 = base_objects.Leg({'id':1,'number':1,'loop_line':True})
l13 = base_objects.Leg({'id':1,'number':1,'loop_line':True})
lfake = base_objects.Leg({'id':1,'number':1,'loop_line':True})
vx15 = base_objects.Vertex({'legs':base_objects.LegList([l1, l5, l15]), 'id': 3})
vx12 = base_objects.Vertex({'legs':base_objects.LegList([l15, l2, l12]), 'id': 3})
vx13 = base_objects.Vertex({'legs':base_objects.LegList([l12, l3, l13]), 'id': 3})
vx164 = base_objects.Vertex({'legs':base_objects.LegList([l13, l6, l4]), 'id': 3})
fakevx = base_objects.Vertex({'legs':base_objects.LegList([l13, lfake]), 'id': 0})
ctvx = base_objects.Vertex({'legs':base_objects.LegList([l1, l2, l3, l4]), 'id': 666})
myVertexList1=base_objects.VertexList([vx15,vx12,vx13,vx164])
myCTVertexList=base_objects.VertexList([ctvx,])
myPentaDiag1=loop_base_objects.LoopDiagram({'vertices':myVertexList1,'type':1,\
'CT_vertices':myCTVertexList})
return myPentaDiag1, []
def setUp(self):
""" Setup the model and the overhead common to all tests """
model_with_params_set = import_ufo.import_model(
pjoin(MG5DIR,'models','loop_sm'), prefix=True,
complex_mass_scheme = False )
model_with_params_set.pass_particles_name_in_mg_default()
model_with_params_set.set_parameters_and_couplings(
param_card = pjoin(MG5DIR,'models','loop_sm','restrict_default.dat'),
complex_mass_scheme=False )
self.model = model_with_params_set
self.current_exporter = subtraction.SubtractionCurrentExporter(
self.model, export_dir=None, current_set='colorful')
self.walker = walkers.FinalRescalingNLOWalker
legs = base_objects.LegList([
base_objects.Leg(
{'id': 1, 'state': base_objects.Leg.INITIAL, 'number': 1}),
base_objects.Leg(
{'id': -1, 'state': base_objects.Leg.INITIAL, 'number': 2}),
base_objects.Leg(
{'id': 22, 'state': base_objects.Leg.FINAL, 'number': 3}),
base_objects.Leg(
{'id': 1, 'state': base_objects.Leg.FINAL, 'number': 4}),
base_objects.Leg(
{'id': -1, 'state': base_objects.Leg.FINAL, 'number': 5}),
base_objects.Leg(
{'id': 21, 'state': base_objects.Leg.FINAL, 'number': 6}),
base_objects.Leg(
{'id': 21, 'state': base_objects.Leg.FINAL, 'number': 7}),
])
self.reduced_process = base_objects.Process({
'legs': legs,
'model': self.model
})
def find_symmetry_by_evaluation(matrix_element, evaluator, max_time=600):
"""Find symmetries between amplitudes by comparing the squared
amplitudes for all permutations of identical particles.
Return list of positive number corresponding to number of
symmetric diagrams and negative numbers corresponding to the
equivalent diagram (for e+e->3a, get [6, -1, -1, -1, -1, -1]),
list of the corresponding permutations needed, and list of all
permutations of identical particles.
max_time gives a cutoff time for finding symmetries (in s)."""
#if isinstance(matrix_element, group_subprocs.SubProcessGroup):
# return find_symmetry_subproc_group(matrix_element, evaluator, max_time)
assert isinstance(matrix_element, helas_objects.HelasMatrixElement)
# Exception class and routine to handle timeout
class TimeOutError(Exception):
pass
def handle_alarm(signum, frame):
raise TimeOutError
(nexternal, ninitial) = matrix_element.get_nexternal_ninitial()
# Prepare the symmetry vector with non-used amp2s (due to
# multiparticle vertices)
symmetry = []
for diag in matrix_element.get('diagrams'):
if max(diag.get_vertex_leg_numbers()) > 3:
# Ignore any diagrams with 4-particle vertices
symmetry.append(0)
else:
symmetry.append(1)
# Check for matrix elements with no identical particles
if matrix_element.get("identical_particle_factor") == 1:
return symmetry, \
[range(nexternal)]*len(symmetry),\
[range(nexternal)]
logger.info("Finding symmetric diagrams for process %s" % \
matrix_element.get('processes')[0].nice_string().\
replace("Process: ", ""))
process = matrix_element.get('processes')[0]
base_model = process.get('model')
equivalent_process = base_objects.Process({\
'legs': base_objects.LegList([base_objects.Leg({
'id': wf.get('pdg_code'),
'state': wf.get('leg_state')}) \
for wf in matrix_element.get_external_wavefunctions()]),
'model': base_model})
# Get phase space point
p, w_rambo = evaluator.get_momenta(equivalent_process)
# Check matrix element value for all permutations
amp2start = []
final_states = [l.get('id') for l in \
equivalent_process.get('legs')[ninitial:]]
nperm = 0
perms = []
ident_perms = []
# Set timeout for max_time
signal.signal(signal.SIGALRM, handle_alarm)
signal.alarm(max_time)
try:
for perm in itertools.permutations(range(ninitial, nexternal)):
if [equivalent_process.get('legs')[i].get('id') for i in perm] != \
final_states:
# Non-identical particles permutated
continue
ident_perms.append([0, 1] + list(perm))
nperm += 1
new_p = p[:ninitial] + [p[i] for i in perm]
res = evaluator.evaluate_matrix_element(matrix_element, new_p)
if not res:
break
me_value, amp2 = res
# Make a list with (8-pos value, magnitude) to easily compare
amp2sum = sum(amp2)
amp2mag = []
for a in amp2:
a = a * me_value / max(amp2sum, 1e-30)
if a > 0:
amp2mag.append(int(math.floor(math.log10(abs(a)))))
else:
amp2mag.append(0)
amp2 = [(int(a * 10**(8 - am)), am)
for (a, am) in zip(amp2, amp2mag)]
if not perms:
# This is the first iteration - initialize lists
# Initiate symmetry with all 1:s
symmetry = [1 for i in range(len(amp2))]
# Store initial amplitudes
amp2start = amp2
# Initialize list of permutations
perms = [range(nexternal) for i in range(len(amp2))]
continue
for i, val in enumerate(amp2):
if val == (0, 0):
# If amp2 is 0, just set symmetry to 0
symmetry[i] = 0
continue
# Only compare with diagrams below this one
if val in amp2start[:i]:
ind = amp2start.index(val)
# Replace if 1) this amp is unmatched (symmetry[i] > 0) or
# 2) this amp is matched but matched to an amp larger
# than ind
if symmetry[ind] > 0 and \
(symmetry[i] > 0 or \
symmetry[i] < 0 and -symmetry[i] > ind + 1):
symmetry[i] = -(ind + 1)
perms[i] = [0, 1] + list(perm)
symmetry[ind] += 1
except TimeOutError:
# Symmetry canceled due to time limit
logger.warning("Cancel diagram symmetry - time exceeded")
# Stop the alarm since we're done with this process
signal.alarm(0)
return (symmetry, perms, ident_perms)
def test_generate_wavefunctions_and_amplitudes(self):
"""Test automatic generation of wavefunction and amplitude calls"""
goal = [ \
'CALL IXXXXX(P(0,1),me,NHEL(1),+1*IC(1),W(1,1))',
'CALL OXXXXX(P(0,2),me,NHEL(2),-1*IC(2),W(1,2))',
'CALL VXXXXX(P(0,3),zero,NHEL(3),-1*IC(3),W(1,3))',
'CALL FVOXXX(W(1,2),W(1,3),MGVX12,me,zero,W(1,1))',
'CALL FVIXXX(W(1,1),W(1,3),MGVX12,me,zero,W(1,2))',
'CALL JIOXXX(W(1,1),W(1,2),MGVX12,zero,zero,W(1,3))',
'CALL IOVXXX(W(1,1),W(1,2),W(1,3),MGVX12,AMP(1))',
'CALL VXXXXX(P(0,1),zero,NHEL(1),-1*IC(1),W(1,1))',
'CALL VXXXXX(P(0,2),zero,NHEL(2),-1*IC(2),W(1,2))',
'CALL TXXXXX(P(0,3),zero,NHEL(3),-1*IC(3),W(1,3))',
'CALL JVTAXX(W(1,2),W(1,3),MGVX2,zero,zero,W(1,1))',
'CALL JVTAXX(W(1,1),W(1,3),MGVX2,zero,zero,W(1,2))',
'CALL UVVAXX(W(1,1),W(1,2),MGVX2,zero,zero,zero,W(1,3))',
'CALL VVTAXX(W(1,1),W(1,2),W(1,3),MGVX2,zero,AMP(2))',
'CALL VXXXXX(P(0,1),zero,NHEL(1),-1*IC(1),W(1,1))',
'CALL VXXXXX(P(0,2),zero,NHEL(2),-1*IC(2),W(1,2))',
'CALL SXXXXX(P(0,3),-1*IC(3),W(1,3))',
'CALL SXXXXX(P(0,4),-1*IC(4),W(1,4))',
'CALL JVSSXX(W(1,2),W(1,3),W(1,4),MGVX89,zero,zero,W(1,1))',
'CALL JVSSXX(W(1,1),W(1,3),W(1,4),MGVX89,zero,zero,W(1,2))',
'CALL HVVSXX(W(1,2),W(1,1),W(1,4),MGVX89,Musq2,Wusq2,W(1,3))',
'CALL HVVSXX(W(1,2),W(1,1),W(1,3),MGVX89,Musq2,Wusq2,W(1,4))',
'CALL VVSSXX(W(1,2),W(1,1),W(1,3),W(1,4),MGVX89,AMP(1))']
myleglist = base_objects.LegList()
myleglist.append(
base_objects.Leg({
'id': 11,
'number': 1,
'state': False
}))
myleglist.append(
base_objects.Leg({
'id': -11,
'number': 2,
'state': False
}))
myleglist.append(
base_objects.Leg({
'id': 22,
'number': 3,
'state': False
}))
wfs = helas_objects.HelasWavefunctionList(\
[ helas_objects.HelasWavefunction(leg, 7,
self.mybasemodel) \
for leg in myleglist ])
fortran_model = helas_call_writers.FortranHelasCallWriter()
goal_counter = 0
for wf in wfs:
self.assertEqual(fortran_model.get_wavefunction_call(wf),
goal[goal_counter])
goal_counter = goal_counter + 1
for wf in wfs:
mothers = copy.copy(wfs)
mothers.remove(wf)
wf.set('mothers', mothers)
if not wf.get('self_antipart'):
wf.flip_part_antipart()
self.assertEqual(fortran_model.get_wavefunction_call(wf),
goal[goal_counter])
if not wf.get('self_antipart'):
wf.flip_part_antipart()
goal_counter = goal_counter + 1
amplitude = helas_objects.HelasAmplitude({\
'mothers': wfs,
'number': 1})
amplitude.set('interaction_id', 7, self.mybasemodel)
self.assertEqual(fortran_model.get_amplitude_call(amplitude),
goal[goal_counter])
goal_counter = goal_counter + 1
myleglist = base_objects.LegList()
myleglist.append(
base_objects.Leg({
'id': 21,
'number': 1,
'state': False
}))
myleglist.append(
base_objects.Leg({
'id': 21,
'number': 2,
'state': False
}))
myleglist.append(
base_objects.Leg({
'id': 8000002,
'number': 3,
'state': False
}))
wfs = helas_objects.HelasWavefunctionList(\
[ helas_objects.HelasWavefunction(leg, 5,
self.mybasemodel) \
for leg in myleglist ])
fortran_model = helas_call_writers.FortranHelasCallWriter()
for wf in wfs:
self.assertEqual(fortran_model.get_wavefunction_call(wf),
goal[goal_counter])
goal_counter = goal_counter + 1
for wf in wfs:
mothers = copy.copy(wfs)
mothers.remove(wf)
wf.set('mothers', mothers)
self.assertEqual(fortran_model.get_wavefunction_call(wf),
goal[goal_counter])
goal_counter = goal_counter + 1
amplitude = helas_objects.HelasAmplitude({\
'mothers': wfs,
'number': 2})
amplitude.set('interaction_id', 5, self.mybasemodel)
self.assertEqual(fortran_model.get_amplitude_call(amplitude),
goal[goal_counter])
goal_counter = goal_counter + 1
def test_triplet_color_flow_output(self):
"""Test the color flow output for color triplets"""
# Test u u > trip~ g
myleglist = base_objects.LegList()
myleglist.append(
base_objects.Leg({
'id': 2,
'state': False,
'number': 1
}))
myleglist.append(
base_objects.Leg({
'id': 6,
'state': False,
'number': 2
}))
myleglist.append(
base_objects.Leg({
'id': -9000006,
'state': True,
'number': 3
}))
myleglist.append(
base_objects.Leg({
'id': 21,
'state': True,
'number': 4
}))
myproc = base_objects.Process({
'legs': myleglist,
'model': self.base_model
})
myamp = diagram_generation.Amplitude(myproc)
matrix_element = helas_objects.HelasMatrixElement(myamp)
# First build a color representation dictionnary
repr_dict = {}
for l in myleglist:
repr_dict[l.get('number')] = \
self.base_model.get_particle(l.get('id')).get_color()
# Get the color flow decomposition
col_flow = \
matrix_element.get('color_basis').color_flow_decomposition(repr_dict,
2)
self.assertEqual(col_flow, [{
1: [501, 0],
2: [502, 0],
3: [0, 504],
4: [504, 503]
}, {
1: [501, 0],
2: [504, 0],
3: [0, 502],
4: [504, 503]
}, {
1: [504, 0],
2: [501, 0],
3: [0, 502],
4: [504, 503]
}])
# Test u u > trip~ > u u g
myleglist = base_objects.LegList()
myleglist.append(base_objects.Leg({'id': 2, 'state': False}))
myleglist.append(base_objects.Leg({'id': 6, 'state': False}))
myleglist.append(base_objects.Leg({'id': 2, 'state': True}))
myleglist.append(base_objects.Leg({'id': 6, 'state': True}))
myleglist.append(base_objects.Leg({'id': 21, 'state': True}))
myproc = base_objects.Process({
'legs': myleglist,
'model': self.base_model,
'required_s_channels': [[-9000006]]
})
myamp = diagram_generation.Amplitude(myproc)
self.assertEqual(len(myamp.get('diagrams')), 5)
matrix_element = helas_objects.HelasMatrixElement(myamp)
# First build a color representation dictionnary
repr_dict = {}
for l in myleglist:
repr_dict[l.get('number')] = \
self.base_model.get_particle(l.get('id')).get_color()
# Get the color flow decomposition
col_flow = \
matrix_element.get('color_basis').color_flow_decomposition(repr_dict,
2)
self.assertEqual(col_flow, [{
1: [501, 0],
2: [502, 0],
3: [504, 0],
4: [505, 0],
5: [506, 503]
}, {
1: [501, 0],
2: [503, 0],
3: [501, 0],
4: [502, 0],
5: [503, 502]
}, {
1: [503, 0],
2: [501, 0],
3: [501, 0],
4: [502, 0],
5: [503, 502]
}, {
1: [502, 0],
2: [503, 0],
3: [501, 0],
4: [502, 0],
5: [503, 501]
}, {
1: [503, 0],
2: [502, 0],
3: [501, 0],
4: [502, 0],
5: [503, 501]
}])
def test_w_and_z_amplitudes(self):
"""Test wavefunction and amplitude calls for W and Z"""
goal = [ \
'CALL JWWWXX(W(1,2),W(1,3),W(1,4),MGVX6,wmas,wwid,W(1,1))',
'CALL JWWWXX(W(1,1),W(1,3),W(1,4),MGVX6,wmas,wwid,W(1,2))',
'CALL JWWWXX(W(1,1),W(1,2),W(1,4),MGVX6,wmas,wwid,W(1,3))',
'CALL JWWWXX(W(1,1),W(1,2),W(1,3),MGVX6,wmas,wwid,W(1,4))',
'# Amplitude(s) for diagram number 1',
'CALL WWWWXX(W(1,1),W(1,2),W(1,3),W(1,4),MGVX6,AMP(1))',
'CALL JW3WXX(W(1,2),W(1,3),W(1,4),MGVX8,wmas,wwid,W(1,1))',
'CALL JW3WXX(W(1,1),W(1,3),W(1,4),MGVX8,wmas,wwid,W(1,2))',
'CALL JW3WXX(W(1,1),W(1,2),W(1,4),MGVX8,zmas,zwid,W(1,3))',
'CALL JW3WXX(W(1,1),W(1,2),W(1,3),MGVX8,zmas,zwid,W(1,4))',
'# Amplitude(s) for diagram number 1',
'CALL W3W3XX(W(1,1),W(1,2),W(1,3),W(1,4),MGVX8,AMP(1))']
goal_counter = 0
myleglist = base_objects.LegList()
myleglist.append(
base_objects.Leg({
'id': 24,
'number': 1,
'state': False
}))
myleglist.append(
base_objects.Leg({
'id': -24,
'number': 2,
'state': False
}))
myleglist.append(
base_objects.Leg({
'id': 24,
'number': 3,
'state': False
}))
myleglist.append(
base_objects.Leg({
'id': -24,
'number': 4,
'state': False
}))
wfs = helas_objects.HelasWavefunctionList(\
[ helas_objects.HelasWavefunction(leg, 8,
self.mybasemodel) \
for leg in myleglist ])
fortran_model = helas_call_writers.FortranHelasCallWriter()
for wf in wfs:
mothers = copy.copy(wfs)
mothers.remove(wf)
wf.set('mothers', mothers)
# Not yet implemented special wavefunctions for W/Z
#self.assertEqual(fortran_model.get_wavefunction_call(wf),
# goal[goal_counter])
goal_counter = goal_counter + 1
amplitude = helas_objects.HelasAmplitude({\
'mothers': wfs,
'number': 1})
amplitude.set('interaction_id', 8, self.mybasemodel)
# Not yet implemented special wavefunctions for W/Z
#self.assertEqual(fortran_model.get_amplitude_call(amplitude),
# goal[goal_counter])
goal_counter = goal_counter + 1
myleglist = base_objects.LegList()
myleglist.append(
base_objects.Leg({
'id': 24,
'number': 1,
'state': False
}))
myleglist.append(
base_objects.Leg({
'id': -24,
'number': 2,
'state': False
}))
myleglist.append(
base_objects.Leg({
'id': 23,
'number': 3,
'state': False
}))
myleglist.append(
base_objects.Leg({
'id': 23,
'number': 4,
'state': False
}))
wfs = helas_objects.HelasWavefunctionList(\
[ helas_objects.HelasWavefunction(leg, 9,
self.mybasemodel) \
for leg in myleglist ])
fortran_model = helas_call_writers.FortranHelasCallWriter()
for wf in wfs:
mothers = copy.copy(wfs)
mothers.remove(wf)
wf.set('mothers', mothers)
# Not yet implemented special wavefunctions for W/Z
# self.assertEqual(fortran_model.get_wavefunction_call(wf),
# goal[goal_counter])
goal_counter = goal_counter + 1
amplitude = helas_objects.HelasAmplitude({\
'mothers': wfs,
'number': 1})
amplitude.set('interaction_id', 9, self.mybasemodel)
# Not yet implemented special wavefunctions for W/Z
#self.assertEqual(fortran_model.get_amplitude_call(amplitude),
# goal[goal_counter])
goal_counter = goal_counter + 1
def setUp(self):
# Set up model
mypartlist = base_objects.ParticleList()
myinterlist = base_objects.InteractionList()
# A photon
mypartlist.append(
base_objects.Particle({
'name': 'a',
'antiname': 'a',
'spin': 3,
'color': 1,
'mass': 'zero',
'width': 'zero',
'texname': '\gamma',
'antitexname': '\gamma',
'line': 'wavy',
'charge': 0.,
'pdg_code': 22,
'propagating': True,
'is_part': True,
'self_antipart': True
}))
a = mypartlist[len(mypartlist) - 1]
# W+ and W-
mypartlist.append(
base_objects.Particle({
'name': 'w+',
'antiname': 'w-',
'spin': 3,
'color': 1,
'mass': 'wmas',
'width': 'wwid',
'texname': 'W^+',
'antitexname': 'W^-',
'line': 'wavy',
'charge': 1.,
'pdg_code': 24,
'propagating': True,
'is_part': True,
'self_antipart': False
}))
wplus = mypartlist[len(mypartlist) - 1]
wminus = copy.copy(wplus)
wminus.set('is_part', False)
# Z
mypartlist.append(
base_objects.Particle({
'name': 'z',
'antiname': 'z',
'spin': 3,
'color': 1,
'mass': 'zmas',
'width': 'zwid',
'texname': 'Z',
'antitexname': 'Z',
'line': 'wavy',
'charge': 1.,
'pdg_code': 23,
'propagating': True,
'is_part': True,
'self_antipart': True
}))
z = mypartlist[len(mypartlist) - 1]
# a-a-w+w- 4-vertex
myinterlist.append(base_objects.Interaction({
'id': 1,
'particles': base_objects.ParticleList(\
[a, \
a,
wminus,
wplus]),
'color': [],
'lorentz':['VVVV1'],
'couplings':{(0, 0):'GC_51'},
'orders':{'QED':2}}))
# w+w-z vertex
myinterlist.append(base_objects.Interaction({
'id': 2,
'particles': base_objects.ParticleList(\
[wminus,
wplus,
z]),
'color': [],
'lorentz':['VVV1'],
'couplings':{(0, 0):'GC_12'},
'orders':{'QED':1}}))
self.mybasemodel.set('particles', mypartlist)
self.mybasemodel.set('interactions', myinterlist)
self.mybasemodel.set('name', 'sm')
#import madgraph.interface.cmd_interface as cmd
#CMD = cmd.MadGraphCmdShell()
#CMD._curr_model = self.mybasemodel
#CMD._curr_fortran_model = helas_call_writers.FortranUFOHelasCallWriter
#CMD.do_generate('a w- > w- a z')
#CMD.do_export('matrix_v4 /tmp/')
leg1 = base_objects.Leg({'id': 22, 'state': False})
leg2 = base_objects.Leg({'id': 24, 'state': False})
leg3 = base_objects.Leg({'id': 22, 'state': True})
leg4 = base_objects.Leg({'id': 24, 'state': True})
leg5 = base_objects.Leg({'id': 23, 'state': True})
legList1 = base_objects.LegList([leg1, leg2, leg3, leg4, leg5])
myproc = base_objects.Process({
'legs': legList1,
'model': self.mybasemodel
})
myamplitude = diagram_generation.Amplitude({'process': myproc})
self.mymatrixelement = helas_objects.HelasMatrixElement(myamplitude)
