def _n_Z(Omega, c10, Dt, loc_q, loc_ym, loc_yp, loc_alcc, loc_alss, loc_bsc, loc_bcs):
arg1 = cmath.sqrt(2.0*loc_yp)/2.0/Dt/c10
arg2 = cmath.sqrt(2.0*loc_ym)/2.0/Dt/c10
return ((loc_alcc*cmath.cosh(arg1)*cmath.cosh(arg2) +
loc_alss*cmath.sinh(arg1)*cmath.sinh(arg2) + loc_q)/
(loc_bsc*cmath.sinh(arg1)*cmath.cosh(arg2) +
loc_bcs*cmath.cosh(arg1)*cmath.sinh(arg2)))
def test_sinh(self):
self.assertAlmostEqual(qmath.sinh(self.f1), math.sinh(self.f1))
self.assertAlmostEqual(qmath.sinh(self.c1), cmath.sinh(self.c1))
self.assertAlmostEqual(qmath.sinh(self.c2), cmath.sinh(self.c2))
self.assertAlmostEqual(qmath.sinh(Quat(self.f1)), math.sinh(self.f1))
self.assertAlmostEqual(qmath.sinh(Quat(0, 3)), cmath.sinh(3J))
self.assertAlmostEqual(qmath.sinh(Quat(4, 5)), cmath.sinh(4 + 5J))
self.assertAlmostEqual(qmath.sinh(Quat(0, self.f1)), Quat(0, math.sin(self.f1)))
def _N11(Omega, c10, j0, Dt, loc_t, loc_ym, loc_yp, loc_gcm, loc_gcp, loc_gsm, loc_gsp):
twoDtc10 = 2.0*Dt*c10
return (2.0*cmath.sqrt(2.0*loc_t)*c10*j0*(cmath.sqrt(loc_ym)*cmath.sinh(cmath.sqrt(2.0*loc_ym)/twoDtc10) -
cmath.sqrt(loc_yp)*cmath.sinh(cmath.sqrt(2.0*loc_yp)/twoDtc10))/
(loc_gcm*cmath.cosh(cmath.sqrt(2.0*loc_ym)/twoDtc10) +
loc_gcp*cmath.cosh(cmath.sqrt(2.0*loc_yp)/twoDtc10) +
loc_gsm*cmath.sinh(cmath.sqrt(2.0*loc_ym)/twoDtc10) +
loc_gsp*cmath.sinh(cmath.sqrt(2.0*loc_yp)/twoDtc10)))
def sinh(c):
"""Compute Sinh using a Taylor expansion
"""
if not isinstance(c,pol): return math.sinh(c)
a0,p=c.separate();
lst=[math.sinh(a0),math.cosh(a0)]
for n in range(2,c.order+1):
lst.append( lst[-2]/n/(n-1))
return phorner(lst,p)
def pieq(self, z, y):
d = self.line_length
gamma = cmath.sqrt(z*y)
Zc = cmath.sqrt(z/y)
Z_pi = Zc * cmath.sinh(gamma*d)
Y_pi = 1.0/Zc * cmath.tanh(gamma*d/2.0)
# The real part of Y_pi is different from TLC.for, but
# the real part isn't important
return Z_pi, Y_pi
def sinh(*args, **kw):
arg0 = args[0]
if isinstance(arg0, (int, float, long)):
return _math.sinh(*args,**kw)
elif isinstance(arg0, complex):
return _cmath.sinh(*args,**kw)
elif isinstance(arg0, _sympy.Basic):
return _sympy.sinh(*args,**kw)
else:
return _numpy.sinh(*args,**kw)
def test_sinh_cc (self):
src_data = [complex(i,i+1) for i in range(-5, 5, 2)]
expected_result = tuple(cmath.sinh(i) for i in src_data)
src = gr.vector_source_c(src_data)
op = gr.transcendental('sinh', 'complex_float')
snk = gr.vector_sink_c()
self.tb.connect(src, op, snk)
self.tb.run()
result = snk.data()
self.assertComplexTuplesAlmostEqual(expected_result, result, places=5)
def __init__(self, Var_txt, count_plot, name):
self.Var = dict()
for var in Var_txt:
if var[0] == "comp":
self.Var[var[0]] = []
for i in range(1,len(var)):
self.Var[var[0]].append(float(var[i])/100)
else:
self.Var[var[0]] = float(var[1])
self.file_name = name
self.r = self.Var["r"]
self.L = self.Var["L"]
self.C = self.Var["C"]
self.g = self.Var["g"]
self.l = self.Var["l"]
self.V1 = self.Var["V1"]
self.Vb = self.V1
self.Sb = 100e6
self.fp = self.Var["fp"]
self.f = self.Var["f"]
self.prec = self.Var["prec"]
self.w = 2 * cm.pi * self.f
self.count_plot = count_plot
self.U1 = self.V1 / cm.sqrt(3).real
self.Z = (self.r + 1j * self.w * self.L) * self.l
self.Y = (self.g + 1j * self.w * self.C) * self.l
self.Zc = cm.sqrt(self.Z / self.Y)
self.gamal = cm.sqrt(self.Z * self.Y)
self.A = cm.cosh(self.gamal)
self.B = self.Zc * cm.sinh(self.gamal)
self.C = 1 / self.Zc * cm.sinh(self.gamal)
self.D = self.A
self.result = self.calc_Vr(self.A, self.B)
self.result2 = self.compSeM()
self.result3 = self.compSeEx()
#self.ang_pot = self.calc_ang_pot(self.A,self.B,np.array(self.result[0])/3,np.array(self.result[1])/np.sqrt(3))
self.plot_all_Vr()
def test_complex_functions():
for x in (list(range(10)) + list(range(-10,0))):
for y in (list(range(10)) + list(range(-10,0))):
z = complex(x, y)/4.3 + 0.01j
assert exp(mpc(z)).ae(cmath.exp(z))
assert log(mpc(z)).ae(cmath.log(z))
assert cos(mpc(z)).ae(cmath.cos(z))
assert sin(mpc(z)).ae(cmath.sin(z))
assert tan(mpc(z)).ae(cmath.tan(z))
assert sinh(mpc(z)).ae(cmath.sinh(z))
assert cosh(mpc(z)).ae(cmath.cosh(z))
assert tanh(mpc(z)).ae(cmath.tanh(z))
def oneArgFuncEval(function, value):
# Evaluates functions that take a complex number input
if function == "sin":
return cmath.sin(value)
elif function == "cos":
return cmath.cos(value)
elif function == "tan":
return cmath.tan(value)
elif function == "asin":
return cmath.asin(value)
elif function == "acos":
return cmath.acos(value)
elif function == "atan":
return cmath.atan(value)
elif function == "csc":
return 1.0 / cmath.sin(value)
elif function == "sec":
return 1.0 / cmath.cos(value)
elif function == "cot":
return 1.0 / cmath.tan(value)
elif function == "ln":
return cmath.log(value)
elif function == "sqr":
return cmath.sqrt(value)
elif function == "abs":
return cmath.sqrt((value.real ** 2) + (value.imag ** 2))
elif function == "exp":
return cmath.exp(value)
if function == "sinh":
return cmath.sinh(value)
elif function == "cosh":
return cmath.cosh(value)
elif function == "tanh":
return cmath.tanh(value)
elif function == "asinh":
return cmath.asinh(value)
elif function == "acosh":
return cmath.acosh(value)
elif function == "atanh":
return cmath.atanh(value)
elif function == "ceil":
return math.ceil(value.real) + complex(0, 1) * math.ceil(value.imag)
elif function == "floor":
return math.floor(value.real) + complex(0, 1) * math.floor(value.imag)
elif function == "trunc":
return math.trunc(value.real) + complex(0, 1) * math.trunc(value.imag)
elif function == "fac":
if value.imag == 0 and value < 0 and value.real == int(value.real):
return "Error: The factorial function is not defined on the negative integers."
return gamma(value + 1)
elif function == "log":
return cmath.log10(value)
def setTransmission(self, gl, Z0): ''' gl = l*gamma l = length gamma = a + j*b a - attenuation constant b - phase constant Z0 - characteristic impedance ''' ch = cmath.cosh(gl) sh = cmath.sinh(gl) self.a = np.array( [ [ch, sh*Z0], [sh/Z0, ch] ]); pass
def sinh(x):
"""
Return the hyperbolic sine of x.
"""
if isinstance(x,ADF):
ad_funcs = list(map(to_auto_diff,[x]))
x = ad_funcs[0].x
########################################
# Nominal value of the constructed ADF:
f = sinh(x)
########################################
variables = ad_funcs[0]._get_variables(ad_funcs)
if not variables or isinstance(f, bool):
return f
########################################
# Calculation of the derivatives with respect to the arguments
# of f (ad_funcs):
lc_wrt_args = [cosh(x)]
qc_wrt_args = [sinh(x)]
cp_wrt_args = 0.0
########################################
# Calculation of the derivative of f with respect to all the
# variables (Variable) involved.
lc_wrt_vars,qc_wrt_vars,cp_wrt_vars = _apply_chain_rule(
ad_funcs,variables,lc_wrt_args,qc_wrt_args,
cp_wrt_args)
# The function now returns an ADF object:
return ADF(f, lc_wrt_vars, qc_wrt_vars, cp_wrt_vars)
else:
# try: # pythonic: fails gracefully when x is not an array-like object
# return [sinh(xi) for xi in x]
# except TypeError:
if x.imag:
return cmath.sinh(x)
else:
return math.sinh(x.real)
def exp_mat2_full_scalar(X, t, exp_Xt):
s = 0.5 * (X[0,0] + X[1,1])
det_X_minus_sI = (X[0,0]-s) * (X[1,1]-s) - X[0,1] * X[1,0]
q = cmath.sqrt(-det_X_minus_sI)
# we have to distinguish the case q=0 (the other exceptional case t=0 should not occur)
if abs(q) < 1e-15: # q is (numerically) 0
sinh_qt_over_q = t
else:
sinh_qt_over_q = cmath.sinh(q*t) / q
cosh_qt = cmath.cosh(q*t)
cosh_q_t_minus_s_sinh_qt_over_qt = cosh_qt - s*sinh_qt_over_q
exp_st = cmath.exp(s*t)
# abbreviations for the case of exp_Xt referencing the same array as X
E_00 = exp_st * (cosh_q_t_minus_s_sinh_qt_over_qt + sinh_qt_over_q * X[0,0])
E_01 = exp_st * (sinh_qt_over_q * X[0,1])
E_10 = exp_st * (sinh_qt_over_q * X[1,0])
E_11 = exp_st * (cosh_q_t_minus_s_sinh_qt_over_qt + sinh_qt_over_q * X[1,1])
exp_Xt[0,0] = E_00
exp_Xt[0,1] = E_01
exp_Xt[1,0] = E_10
exp_Xt[1,1] = E_11
def doPhotons(self, filePar):
self.initHTML()
#f = ROOT.TFile('ntuple.root')
#f.cd('CollectionTree')
#mytree=ROOT.gDirectory.Get('CollectionTree')
##################################
#os.system('ls photons/*root* > ntuples.txt')
os.system('ls ntuple.root > ntuples.txt')
f = open('ntuples.txt', 'r')
lines = f.readlines()
f.close()
chain = ROOT.TChain('CollectionTree')
for li in lines:
chain.Add('./' + li.strip())
mytree = chain
#################################
m_drmin = ROOT.TH1F("m_drmin", "drmin", 100, -0.2, 0.2)
m_h1 = ROOT.TH1F("m_h1", "Energy resolution", 100, -0.25, 0.25)
m_h1.SetXTitle("(E_{t}(reco)-E_{t}(true))/E_{t}(true)")
m_h2 = ROOT.TH1F("m_h2", "Phi resolution", 100, -0.01, 0.01)
m_h2.SetXTitle("#Phi resolution (rad)")
m_h3 = ROOT.TH1F("m_h3", "Eta resolution in the barrel", 100, -0.01,
0.01)
m_h3.SetXTitle("#eta resolution")
m_h4 = ROOT.TH1F("m_h4", "Eta resolution in the endcap", 100, -0.01,
0.01)
m_h4.SetXTitle("#eta resolution")
m_h5 = ROOT.TH1F("m_h5", "Efficiency vs eta", 50, -3, 3)
m_h5.SetXTitle("#eta")
m_tmp1 = ROOT.TH1F("m_tmp1", "EtaGen", 50, -3, 3)
m_tmp2 = ROOT.TH1F("m_tmp2", "cl_eta", 50, -3, 3)
entries = mytree.GetEntriesFast()
for jentry in xrange(entries):
ientry = mytree.LoadTree(jentry)
if ientry < 0:
break
nb = mytree.GetEntry(jentry)
if nb <= 0:
continue
nEvent = int(mytree.IEvent)
if nEvent < 0:
continue
dRmin = 999.
TheNearestCluster = -1
#print int(mytree.IEvent),int(mytree.cl_nc),len(mytree.PtGen)
if mytree.cl_nc == 0 or len(mytree.PtGen) == 0:
continue
for i in range(0, int(mytree.cl_nc)):
#print 'i=',i
dphi = 1000.
deta = 1000.
# resolution in energy
val = ((mytree.cl_et)[i] -
(mytree.PtGen)[0]) / (mytree.PtGen)[0]
m_h1.Fill(val)
# resolution in phi
if (mytree.cl_phi)[i] - (mytree.PhiGen)[0] < 6:
dphi = ((mytree.cl_phi)[i] - (mytree.PhiGen)[0])
m_h2.Fill(dphi)
# resolution in eta barrel corrected by the z vertex spread
deta = 0.
if math.fabs((mytree.EtaGen)[0]) < 1.475:
deta = (mytree.cl_eta)[i] - cmath.asinh(
cmath.sinh((mytree.EtaGen)[0]) +
(mytree.ZV)[mytree.IVPrimary] / 1600.)
m_h3.Fill(deta.real)
elif math.fabs((mytree.EtaGen)[0]) >= 1.475:
deta = (mytree.cl_eta)[i] - cmath.asinh(
cmath.sinh((mytree.EtaGen)[0]) /
(1 - self.mysign((mytree.EtaGen)[0]) *
(mytree.ZV)[mytree.IVPrimary] / 3800.))
m_h4.Fill(deta.real)
if (math.fabs(dphi) > math.pi):
dphi = 2.0 * math.pi - math.fabs(dphi)
dR = math.sqrt(deta.real * deta.real + dphi * dphi)
if dR < dRmin:
dRmin = dR
TheNearestCluster = i
m_tmp2.Fill((mytree.EtaGen)[0])
if TheNearestCluster >= 0 and dRmin < 0.1:
m_tmp1.Fill((mytree.EtaGen)[0])
ROOT.gStyle.SetOptFit(1011)
m_h1.Fit("gaus")
m_h2.Fit("gaus")
m_h3.Fit("gaus")
m_h4.Fit("gaus")
res1 = self.saveHisto(m_h1, filePar, '')
res2 = self.saveHisto(m_h2, filePar, '')
res3 = self.saveHisto(m_h3, filePar, '')
res4 = self.saveHisto(m_h4, filePar, '')
m_h5.Divide(m_tmp1, m_tmp2, 1, 1, "B")
res5 = self.saveHisto(m_h5, filePar, "E")
if res1 == -1 or res2 == -1 or res3 == -1 or res4 == -1 or res5 == -1:
return -1
else:
return 0
def doElectrons(self, filePar):
self.initHTML()
#f = ROOT.TFile('ntuple.root')
#f.cd('CollectionTree')
#mytree=ROOT.gDirectory.Get('CollectionTree')
##################################
#os.system('ls data/*root.* > ntuples.txt')
os.system('ls ntuple.root > ntuples.txt')
f = open('ntuples.txt', 'r')
lines = f.readlines()
f.close()
chain = ROOT.TChain('CollectionTree')
for li in lines:
chain.Add('./' + li.strip())
mytree = chain
#################################
m_drmin = ROOT.TH1F("m_drmin", "drmin", 100, -0.2, 0.2)
m_h1 = ROOT.TH1F("m_h1", "Energy resolution", 100, -0.25, 0.25)
m_h1.SetXTitle("(E_{t}(reco)-E_{t}(true))/E_{t}(true)")
m_h2 = ROOT.TH1F("m_h2", "Phi resolution", 100, -0.01, 0.01)
m_h2.SetXTitle("#Phi resolution (rad)")
m_h3 = ROOT.TH1F("m_h3", "Eta resolution in the barrel", 100, -0.01,
0.01)
m_h3.SetXTitle("#eta resolution")
m_h4 = ROOT.TH1F("m_h4", "Eta resolution in the endcap", 100, -0.01,
0.01)
m_h4.SetXTitle("#eta resolution")
m_h5 = ROOT.TH1F("m_h5", "Efficiency vs eta", 50, -3, 3)
m_h5.SetXTitle("#eta")
m_tmp1 = ROOT.TH1F("m_tmp1", "EtaGen", 50, -3, 3)
m_tmp2 = ROOT.TH1F("m_tmp2", "cl_eta", 50, -3, 3)
entries = mytree.GetEntriesFast()
for jentry in xrange(entries):
ientry = mytree.LoadTree(jentry)
if ientry < 0:
break
nb = mytree.GetEntry(jentry)
if nb <= 0:
continue
nEvent = int(mytree.IEvent)
if nEvent < 0:
continue
indEle = []
iele = 0
for ipart in range(0, mytree.NPar):
if abs((mytree.Type)[ipart]) == 11 and (
mytree.GenStat)[ipart] == 1 and (
mytree.KMothNt)[ipart] == -1:
indEle.append(ipart)
m_tmp2.Fill((mytree.EtaGen)[indEle[iele]])
iele += 1
if iele > 1:
logger.info('two many electrons')
return -1
nele = iele
# a quel cluster correspond quel electron ?
# je tourne sur ts les clusters de l ev
for ic in range(0, mytree.cl_nc):
etacl = (mytree.cl_eta)[ic]
phicl = (mytree.cl_phi)[ic]
etcl = (mytree.cl_et)[ic]
m_drmin.Fill((mytree.ZV)[0])
etae = (mytree.EtaGen)[indEle[0]]
if math.fabs((mytree.cl_eta)[ic]) > 1.475:
etaclcor = cmath.asinh(
cmath.sinh((mytree.cl_eta)[ic]) *
(1 - (mytree.ZV)[mytree.IVPrimary] / (self.mysign(
(mytree.cl_eta)[ic]) * 3800.0)))
phiclcor = (mytree.cl_phi)[ic] + (
0.3 * 3800.0 *
(-(mytree.Type)[indEle[0]] / 11.0) * self.mysign(
(mytree.cl_eta)[ic])) / (
(mytree.cl_et)[ic] * cmath.sinh(
(mytree.cl_eta)[ic]))
m_h4.Fill((etaclcor - etae).real)
else:
etaclcor = cmath.asinh(
cmath.sinh((mytree.cl_eta)[ic]) -
(mytree.ZV)[mytree.IVPrimary] / 1600.0)
m_h3.Fill((etaclcor - etae).real)
phiclcor = (mytree.cl_phi)[ic] + (
0.3 * 1600.0 * (-(mytree.Type)[indEle[0]] / 11.0) /
(mytree.cl_et)[ic])
phie = (mytree.PhiGen)[indEle[0]]
ete = (mytree.PtGen)[indEle[0]]
try:
m_h2.Fill(phiclcor.real - phie)
except:
m_h2.Fill(phiclcor - phie)
m_h1.Fill((etcl - ete) / ete)
m_tmp1.Fill(etae)
ROOT.gStyle.SetOptFit(1011)
m_h1.Fit("gaus")
m_h2.Fit("gaus")
m_h3.Fit("gaus")
m_h4.Fit("gaus")
res1 = self.saveHisto(m_h1, filePar, '')
res2 = self.saveHisto(m_h2, filePar, '')
res3 = self.saveHisto(m_h3, filePar, '')
res4 = self.saveHisto(m_h4, filePar, '')
m_h5.Divide(m_tmp1, m_tmp2, 1, 1, "B")
res5 = self.saveHisto(m_h5, filePar, "E")
if res1 == -1 or res2 == -1 or res3 == -1 or res4 == -1 or res5 == -1:
return -1
else:
return 0
print(cmath.acos(z)) #3.atan()- This function returns the arc tangent of a complex number passed in as a argument. import cmath x = 1.0 y = 1.0 z = complex(x, y) print(cmath.atan(z)) #Hyperbolic functions: #1.sinh()- This function returns the hyperbolic sine of a complex number passed in as a argument. import cmath x = 1.0 y = 1.0 z = complex(x, y) print(cmath.sinh(z)) #2.cosh()- This function returns the hyperbolic cosine of a complex number passed in as a argumnet. import cmath x = 1.0 y = 2.0 z = complex(x, y) print(cmath.cosh(z)) #3.tanh()- This function returns the hyperbolic tangent of a complex number passed as a argument. import cmath x = 1.0 y = 1.0 z = complex(x, y) print(cmath.tanh(z))
def birefringence_rot(s, chi, lambda_0, n_o, n_e, jones, thread_idx, B, U,
U_epar, rand_nums, seed):
if n_o != n_e or chi != 0:
if B[0] == 2.0 and B[1] == 2.0 and B[2] == 2.0:
rand_num = rand_nums[seed]
theta = cmath.pi * rand_num
rand_num = rand_nums[seed + 1]
beta0 = cmath.pi * 2 * rand_num
B[0] = cmath.sin(theta).real * cmath.cos(beta0).real
B[1] = cmath.sin(theta).real * cmath.sin(beta0).real
B[2] = cmath.cos(theta).real
theta1 = cuda.local.array(1, float32)
get_theta(B, U, theta1)
Bp = cuda.local.array(3, float32)
temp = B[0] * U[0] + B[1] * U[1] + B[2] * U[2]
Bp[0] = B[0] - U[0] * temp
Bp[1] = B[1] - U[1] * temp
Bp[2] = B[2] - U[2] * temp
temp = cmath.sqrt(Bp[0] * Bp[0] + Bp[1] * Bp[1] + Bp[2] * Bp[2]).real
if temp != 0:
Bp[0] /= temp
Bp[1] /= temp
Bp[2] /= temp
beta = cuda.local.array(1, float32)
get_beta(U_epar, Bp, U, beta)
# temp = n_e * cmath.cos(theta1[0]).real * n_e * cmath.cos(theta1[0]).real
delta_n = n_o * n_e / cmath.sqrt(
n_e * cmath.cos(theta1[0]).real * n_e * cmath.cos(theta1[0]).real +
n_o * cmath.sin(theta1[0]).real * n_o *
cmath.sin(theta1[0]).real).real - n_o
g_o = cmath.pi * delta_n / (lambda_0 * 1e4)
# n_mat = np.array([g_o.j, -g_o.j, -chi, chi])
n_mat = cuda.local.array(4, nb.complex64)
n_mat[0] = g_o * 1j
n_mat[1] = -g_o * 1j
n_mat[2] = -chi
n_mat[3] = chi
Q_n = cmath.sqrt(n_mat[0] * n_mat[0] - n_mat[3] * n_mat[3])
m = cuda.local.array(4, nb.complex64)
m_new = cuda.local.array(4, nb.complex64)
if Q_n != 0:
# todo check which to keep
# m[0] = (n_mat[0] - n_mat[1]) * cmath.sinh(Q_n * s) / (2 * Q_n) + cmath.cosh(Q_n * s)
# m[1] = (n_mat[0] - n_mat[1]) * cmath.sinh(Q_n * s) / (2 * Q_n) + cmath.cosh(Q_n * s)
# m[2] = (n_mat[2]) * cmath.sinh(Q_n * s) / (Q_n)
# m[3] = -m[2]
m[0] = cmath.exp((n_mat[0] + n_mat[1]) / 2 * s) * (
(n_mat[0] - n_mat[1]) * cmath.sinh(Q_n * s) /
(2 * Q_n) + cmath.cosh(Q_n * s))
m[1] = cmath.exp((n_mat[0] + n_mat[1]) / 2 * s) * (
(n_mat[0] - n_mat[1]) * cmath.sinh(Q_n * s) /
(2 * Q_n) + cmath.cosh(Q_n * s))
m[2] = cmath.exp((n_mat[0] + n_mat[1]) / 2 * s) * (
(n_mat[2]) * cmath.sinh(Q_n * s) / (Q_n))
m[3] = cmath.exp((n_mat[0] + n_mat[1]) / 2 * s) * (-m[2])
m_new[0] = m[0] * cmath.cos(beta[0]) + m[2] * cmath.sin(beta[0])
m_new[1] = m[1] * cmath.cos(beta[0]) + m[3] * cmath.sin(beta[0])
m_new[2] = -m[0] * cmath.sin(beta[0]) + m[2] * cmath.cos(beta[0])
m_new[3] = -m[1] * cmath.sin(beta[0]) + m[3] * cmath.cos(beta[0])
jones[thread_idx,
0] = jones[thread_idx, 0] * m_new[0] + jones[thread_idx,
2] * m_new[3]
jones[thread_idx,
1] = jones[thread_idx, 1] * m_new[0] + jones[thread_idx,
3] * m_new[3]
jones[thread_idx,
2] = jones[thread_idx, 0] * m_new[2] + jones[thread_idx,
2] * m_new[1]
jones[thread_idx,
3] = jones[thread_idx, 1] * m_new[2] + jones[thread_idx,
3] * m_new[1]
def profileCalc(EkmanDepth_array, EkmanDepth_back, delta_array, frVelCpx_array, frVelCpx_back,
stratPar_array, stratPar_back, SBLHeight_array, roughLength_m_array, roughLength_m_back,
roughLength_h, roughLength_h_back, tempSurf, tempTop, temp_array, tempSurf_back,
tempScale_array, tempScale_back, windCpx_back_array, geostrWindCpx, dpar,
alpha_array, corPar, angle, epsilon, M, MODB):
CHARNOCKCONST = 0.018
GRAVITYACC = 9.8
OMEGA = 7.29e-5
VONKARMANCONST = 0.41
BETA = GRAVITYACC / 300
N = 50
zmax = max(max([x * 2 for x in EkmanDepth_array]), EkmanDepth_back)
hmax = zmax
hmin = 1
dlnz = math.log(hmax / hmin) / (N - 1)
J = 0
wind_prof = [[] for x in xrange(0, len(delta_array), 2)]
temp_prof = [[] for x in xrange(0, len(delta_array), 2)]
z_array = [[] for x in xrange(0, len(delta_array), 2)]
for i in xrange(0, len(delta_array), 2):
d = dpar[i] - epsilon
frVel = abs(frVelCpx_array[i])
lambInv = VONKARMANCONST * frVel / (EkmanDepth_array[i] * corPar)
profileFunc_m = profileFunc_momentum_Calc(lambInv, epsilon, stratPar_array[i])
u_h = frVelCpx_array[i] / VONKARMANCONST * (math.log(SBLHeight_array[i] / roughLength_m_array[i]) - profileFunc_m)
wind_prof_back = []
temp_prof_back = []
z = []
for indx in xrange(N):
z.append(hmin * math.exp(dlnz * indx))
if z[indx] <= epsilon * EkmanDepth_back:
stratPar = stratPar_back * z[indx] / (epsilon * EkmanDepth_back)
tmpLambInv = VONKARMANCONST * abs(frVelCpx_back) / (EkmanDepth_back * corPar)
profileFunc_m = profileFunc_momentum_Calc(tmpLambInv, epsilon, stratPar)
profileFunc_h = profileFunc_heat_Calc(tmpLambInv, epsilon, stratPar)
wind_prof_back.append(frVelCpx_back / VONKARMANCONST *
(math.log(z[indx] / roughLength_m_back) - profileFunc_m))
temp_prof_back.append(tempSurf_back + tempScale_back / VONKARMANCONST *
(math.log(z[indx] / roughLength_h_back) - profileFunc_h))
else:
dmax = M - epsilon
ksi = (z[indx] - epsilon * EkmanDepth_back) / (EkmanDepth_back * dmax)
tmpKsi = ksi
ksi = min(1, ksi)
coeff = (1 - 1j) * cmath.sinh((1 + 1j) * dmax * (1 - ksi)) / cmath.cosh((1 + 1j) * dmax)
wind_prof_back.append(geostrWindCpx - 1. / lambdaCalc(epsilon, stratPar_back) *
frVelCpx_back / VONKARMANCONST * coeff)
temp_prof_back.append(tempTop - 2. / lambdaCalc(epsilon, stratPar_back) *
tempScale_back / VONKARMANCONST * dmax * (1 - tmpKsi))
if z[indx] <= delta_array[i]:
if z[indx] <= SBLHeight_array[i]:
stratPar = stratPar_array[i] * z[indx] / SBLHeight_array[i]
profileFunc_m = profileFunc_momentum_Calc(lambInv, epsilon, stratPar)
profileFunc_h = profileFunc_heat_Calc(lambInv, epsilon, stratPar)
wind_prof[J].append(frVelCpx_array[i] / VONKARMANCONST *
(math.log(z[indx] / roughLength_m_array[i]) - profileFunc_m))
temp_prof[J].append(tempSurf + tempScale_array[i] / VONKARMANCONST *
(math.log(z[indx] / roughLength_h) - profileFunc_h))
else:
ksi = (z[indx] - SBLHeight_array[i]) / (delta_array[i] - SBLHeight_array[i])
tmpKsi = ksi
tmpKsi = ksi
ksi = min(1, ksi)
heatFlux = - frVel * tempScale_array[i]
alpha = alpha_array[i]
coeff1 = (1 - 1j) * cmath.sinh((1 + 1j) * d * (1 - ksi)) / cmath.cosh((1 + 1j) * d)
coeff2 = heatFlux * (1 - ksi)
tmpCoeff2 = 0
coeff3 = heatFlux * (1 - ksi)
coeff4 = BETA * d ** 2 / (corPar * abs(geostrWindCpx) * math.cos(angle) * (alpha + 1j * d ** 2))
coeff4 *= (coeff2 - tmpCoeff2)
coeff4 *= MODB
coeff5 = (windCpx_back_array[i] - geostrWindCpx) * \
cmath.cosh((1 + 1j) * d * ksi) / cmath.cosh((1 + 1j) * d)
wind_prof[J].append(geostrWindCpx - lambInv * frVelCpx_array[i] / VONKARMANCONST * coeff1\
+ coeff4 +coeff5)
temp_prof[J].append(temp_array[i] + 2. * lambInv * d * coeff3 / (frVel * VONKARMANCONST))
else:
wind_prof[J].append(wind_prof_back[indx])
temp_prof[J].append(temp_prof_back[indx])
z_array[J].append(z[indx])
J += 1
return wind_prof, temp_prof, z_array, wind_prof_back, temp_prof_back
def sinh(x):
if isinstance(x, complex):
return cmath.sinh(x)
else:
return math.sinh(x)
def backgroundCalc(epsilon, M, corPar, MS, MODB, windCpx,
tempAtm, tempSurf, roughLength_m,
roughLength_h, refLevel):
'''
calculate parameters of background atmosphere: friction velocity, temperature scale,
Ekman depth, geostrophic wind and temperature in free atmosphere
input:
epsilon - main fitting parameter of the model,
M - constant,
corPar - Coriolis parameter,
MS - "0" if background is land and "1" if sea,
MODB - ,
windCpx - wind at reference level (complex),
tempAtm - temperature of background atmosphere at reference level,
tempSurf - background surface temperature,
roughLength_m - roughness length for momentum for background surface,
roughLength_h - roughness length for heat for background surface,
refLevel - reference level, m
output:
stratPar - stratification parameter, mu,
EkmanDepth ,
frVelCpx - friction velocity for background atmosphere< complex number,
tempScale - temperature scale for background atmosphere,
roughLength_m - roughness length for momentum for background surface,
roughLength_heat - roughness length for heat for background surface,
tempTop - temperature in free atmosphere,
gam - ,
tempSurf - background surface temperature,
geostrWindCpx - geostrophic wind, complex number
'''
CHARNOCKCONST = 0.018
GRAVITYACC = 9.8
VONKARMANCONST = 0.41
BETA = GRAVITYACC / 300.
VA = 14e-6
#Iteration for the drag coefficient
it = 0
mistake = 1
DragCoeff = 0.5e-3
tmpFrVelCpx = math.sqrt(DragCoeff) * windCpx
stratPar = VONKARMANCONST ** 2. * BETA * (tempAtm - tempSurf) / (corPar * abs(windCpx))
XX = []
YY = []
while mistake > 0.0001:
it += 1
tmpFrVel = abs(tmpFrVelCpx)
roughLength_m = roughLength_m * (1 - MS) + \
(CHARNOCKCONST * tmpFrVel ** 2. / GRAVITYACC +
0.14 * VA / tmpFrVel) * MS
lambInv = 1. / lambdaCalc(epsilon, stratPar)
EkmanDepth = VONKARMANCONST * tmpFrVel / (corPar * lambInv)
SBLHeight = epsilon * EkmanDepth
dH = refLevel / EkmanDepth
dH1 = min(dH, M)
if dH <= epsilon:
stratPar1 = dH / epsilon * stratPar
profileFunc_m = profileFunc_momentum_Calc(lambInv, epsilon, stratPar1)
profileFunc_h = profileFunc_heat_Calc(lambInv, epsilon, stratPar1)
frVelCpx = VONKARMANCONST * windCpx /\
(math.log(tmpFrVel / (corPar * roughLength_m)) +
math.log(VONKARMANCONST * dH / lambInv) - profileFunc_m)
tempScale = VONKARMANCONST * (tempAtm - tempSurf) /\
(math.log(tmpFrVel / (corPar * roughLength_h)) +
math.log(VONKARMANCONST * dH / lambInv) - profileFunc_h)
else:
profileFunc_m = profileFunc_momentum_Calc(lambInv, epsilon, stratPar)
profileFunc_h = profileFunc_heat_Calc(lambInv, epsilon, stratPar)
Coeff = cmath.tanh((1 + 1j) * (M - epsilon))
Coeff *= (1 - cmath.sinh((1 + 1j) * (M - dH1)) / cmath.sinh((1 + 1j) * (M - epsilon)))
A = lambInv * Coeff
B = - A + profileFunc_m - math.log(VONKARMANCONST * epsilon / lambInv)
C = -2. * lambInv * (dH - epsilon) + profileFunc_h -\
math.log(VONKARMANCONST * epsilon / lambInv)
frVelCpx = VONKARMANCONST * windCpx / \
(math.log(tmpFrVel / (corPar * roughLength_m))- B - 1j * A)
tempScale = VONKARMANCONST * (tempAtm - tempSurf) /\
(math.log(tmpFrVel / (corPar * roughLength_h)) - C)
mistake = abs(tmpFrVelCpx - frVelCpx) / abs(tmpFrVelCpx)
tmpFrVelCpx = 0.3 * frVelCpx + 0.7 * tmpFrVelCpx
tmpFrVel = abs(tmpFrVelCpx)
stratPar = VONKARMANCONST ** 2 * BETA * tempScale / (corPar * tmpFrVel)
if it > 100:
print 'error in backgroundCalc'
break
A = lambInv * cmath.tanh((1 + 1j) * (M - epsilon))
B = - A + profileFunc_momentum_Calc(lambInv, epsilon, stratPar) - math.log(VONKARMANCONST * epsilon / lambInv)
C = -2 * lambInv * (M - epsilon) + profileFunc_heat_Calc(lambInv, epsilon, stratPar) -\
math.log(VONKARMANCONST * epsilon / lambInv)
geostrWindCpx = tmpFrVelCpx / VONKARMANCONST * \
(math.log(tmpFrVel / (corPar * roughLength_m))
- B - 1j * A)
tempTop = tempSurf + tempScale / VONKARMANCONST * (math.log(tmpFrVel / (corPar * roughLength_h)) - C)
gam = 2 * tempScale * abs(frVelCpx) / EkmanDepth ** 2 / corPar
RES = [stratPar, EkmanDepth, frVelCpx, tempScale, roughLength_m,
roughLength_h, tempTop, gam, tempSurf, geostrWindCpx]
return RES
def calculate_3d_plot_coordinates(system):
# get global variables
[length_left] = length_left_glob.data["length_left"]
[length_right] = length_right_glob.data["length_right"]
[lam] = lam_glob.data["lam"]
[EI] = EI_glob.data["EI"]
xx = xx_all[0]
value_unraveled_all = np.zeros((250,26), dtype=complex)
if (length_left != 0 and length_right != 0) or (length_left != 0 and system=="Fixed-Free Beam"): # otherwise the beam is not deformed
j = 0.04
k = 0
while j <= 10.0:
lam_temp = calculate_lambda(system,j,EI) # calculates lambda for every frequency
lam_glob.data = dict(lam=[lam_temp])
A1,A2,A3,A4,B1,B2,B3,B4 = create_matrix_and_calculate_coefficients(system)
i = 0
while i < 26:
if xx[i] <= length_left: # for the subsystem on the left
value_unraveled_all[k][i] = -1*EI*j*j/(F*(L**3))*(A1*cm.sin(lam_temp/L*xx[i])+A2*cm.cos(lam_temp/L*xx[i])+A3*cm.sinh(lam_temp/L*xx[i])+A4*cm.cosh(lam_temp/L*xx[i]))
else: # for the subsystem on the right
value_unraveled_all[k][i] = -1*EI*j*j/(F*(L**3))*(B1*cm.sin(lam_temp/L*(xx[i]-length_left))+B2*cm.cos(lam_temp/L*(xx[i]-length_left))+B3*cm.sinh(lam_temp/L*(xx[i]-length_left))+B4*cm.cosh(lam_temp/L*(xx[i]-length_left)))
i+=1
k+=1
j = round(j+0.04,2)
zmax = complex(max(value_unraveled_all.ravel().real), 0) # get maximum z value
zmin = complex(min(value_unraveled_all.ravel().real), 0) # get minimum z value
if (zmax.real == 0.0 and zmin.real == 0.0):
zmax = complex(0.05, 0)
zmin = complex(-0.05, 0)
lam_glob.data = dict(lam=[lam])
zmax_glob.data = dict(zmax=[zmax])
zmin_glob.data = dict(zmin=[zmin])
value_unraveled_all_glob.data = dict(value_unraveled_all=value_unraveled_all)
def calculate_deflection(system):
# get global variables
[length_left] = length_left_glob.data["length_left"]
[length_right] = length_right_glob.data["length_right"]
[lam] = lam_glob.data["lam"]
A1,A2,A3,A4,B1,B2,B3,B4 = create_matrix_and_calculate_coefficients(system)
y_beam = np.zeros(n_beam, dtype=complex)
if (length_left != 0 and length_right != 0) or (length_left != 0 and system=="Fixed-Free Beam"): # otherwise the beam is not deformed
i = 0
while i < n_beam:
if x_beam[i] <= length_left: # for the subsystem on the left
y_beam[i] = -1*(A1*cm.sin(lam/L*x_beam[i])+A2*cm.cos(lam/L*x_beam[i])+A3*cm.sinh(lam/L*x_beam[i])+A4*cm.cosh(lam/L*x_beam[i]))
else: # for the subsystem on the right
y_beam[i] = -1*(B1*cm.sin(lam/L*(x_beam[i]-length_left))+B2*cm.cos(lam/L*(x_beam[i]-length_left))+B3*cm.sinh(lam/L*(x_beam[i]-length_left))+B4*cm.cosh(lam/L*(x_beam[i]-length_left)))
i+=1
# scales the deflection to a maximum amplitude of 3
max_value = np.amax(np.absolute(y_beam))
y_beam = y_beam * (3/max_value)
beam_coordinates_source.data = dict(x=x_beam,y=y_beam.real)
def TransverseStrain(self, FBGOriginalWavel, PhotoElasticParam,
InitialRefractiveIndex, MeanChangeRefractiveIndex,
FringeVisibility, MinBandWidth, MaxBandWidth,
SimulationResolution, FBGDirection,
DirectionalRefractiveP11, DirectionalRefractiveP12,
YoungsModule, PoissionsCoefficient):
"""
Function to Simulate the FGB Spectrum Considering Uniform longitudinal strain
and transverse Stress
Input:
FBGOriginalWavel: List(Mandatory)
List with the FBG array original wavelength
PhotoElasticParam: float (Mandatory)
Photo-Elastic parameter
InitialRefractiveIndex: float (Mandatory)
Initial effective refractive index (neff)
MeanChangeRefractiveIndex: float (Mandatory)
Mean induced change in the refractive index (dneff)
FringeVisibility: float (Mandatory)
Fringe Visibility (Fv)
MinBandWidth: float (Mandatory)
Light Min. Bandwidth
MaxBandWidth: float (Mandatory)
SimulationResolution: float (Mandatory)
Simulation resolution- Wavelength increment
FBGDirection: int (mandatory)
0-xx 1-yy 2-zz
DirectionalRefractiveP11: float (Mandatory)
Directional Photo-elastic coeffic
DirectionalRefractiveP12: float (Mandatory)
Directional Photo-elastic coefficient
YoungsModule: float (Mandatory)
Optical Fibre Young's Module
PoissionsCoefficient: float (Mandatory)
Optical Fibre Poisson Ration
"""
self.FBGOriginalWavel = FBGOriginalWavel
self.PhotoElasticParam = PhotoElasticParam
self.InitialRefractiveIndex = InitialRefractiveIndex
self.MeanChangeRefractiveIndex = MeanChangeRefractiveIndex
self.FringeVisibility = FringeVisibility
self.MinBandWidth = MinBandWidth
self.MaxBandWidth = MaxBandWidth
self.SimulationResolution = SimulationResolution
self.FBGDirection = FBGDirection
self.DirectionalRefractiveP11 = DirectionalRefractiveP11
self.DirectionalRefractiveP12 = DirectionalRefractiveP12
self.YoungsModule = YoungsModule / 10**6 #Change to MPA
self.PoissionsCoefficient = PoissionsCoefficient
#Array with the FBG period- Longitudinal Strain
self.APFBG = []
for i in np.arange(0, self.NumberFBG):
if self.FBGDirection == 0: #FBG longitudinal direction (xx)
TempMeanFBG = np.mean(
self.FBGArray['FBG' + str(i + 1)]['LE11']) #Strain average
TempnewWavelength = self.FBGOriginalWavel[i] * (
1 + (1 - self.PhotoElasticParam) * TempMeanFBG
) #weavelength at uniform strain
self.APFBG.append(TempnewWavelength /
(2.0 * self.InitialRefractiveIndex)
) # Grating period at strain state
if self.FBGDirection == 1: #FBG longitudinal direction (yy)
TempMeanFBG = np.mean(
self.FBGArray['FBG' + str(i + 1)]['LE22']) #Strain average
TempnewWavelength = self.FBGOriginalWavel[i] * (
1 + (1 - self.PhotoElasticParam) * TempMeanFBG
) #weavelength at uniform strain
self.APFBG.append(TempnewWavelength /
(2.0 * self.InitialRefractiveIndex)
) # Grating period at strain state
if self.FBGDirection == 2: #FBG longitudinal direction (zz)
TempMeanFBG = np.mean(
self.FBGArray['FBG' + str(i + 1)]['LE33']) #Strain average
TempnewWavelength = self.FBGOriginalWavel[i] * (
1 + (1 - self.PhotoElasticParam) * TempMeanFBG
) #weavelength at uniform strain
self.APFBG.append(TempnewWavelength /
(2.0 * self.InitialRefractiveIndex)
) # Grating period at strain state
#Empty Reflec spectrum- Two waves
self.TSYReflect = {} #Y wave
self.TSYReflect['wavelength'] = []
self.TSYReflect['reflec'] = []
self.TSZReflect = {} #Z wave
self.TSZReflect['wavelength'] = []
self.TSZReflect['reflec'] = []
#Cycle all the FBG sensors
for i in np.arange(0, self.NumberFBG):
#Sections the gratting is divided-- Transfer Matrix
M = len(self.FBGArray['FBG' + str(i + 1)]['x'])
#FBG increment size (nm)
deltz = (self.FBGLength * (10.0**6)) / M
#Build a List with the change in the refractive index DeltaNEffY
self.Dneffy = []
self.Dneffz = []
for j in np.arange(0, M):
if self.FBGDirection == 0: #FBG longitudinal direction (xx)
DirecX = 'S11'
DirecY = 'S22'
DirecZ = 'S33'
self.Dneffy.append(
-(self.InitialRefractiveIndex**3.0) /
(2 * self.YoungsModule) *
((self.DirectionalRefractiveP11 -
2 * self.PoissionsCoefficient *
self.DirectionalRefractiveP12) *
self.FBGArray['FBG' + str(i + 1)][DirecY][j] +
((1 - self.PoissionsCoefficient) *
self.DirectionalRefractiveP12 -
self.PoissionsCoefficient *
self.DirectionalRefractiveP11) *
(self.FBGArray['FBG' + str(i + 1)][DirecZ][j] +
self.FBGArray['FBG' + str(i + 1)][DirecX][j])))
self.Dneffz.append(
-(self.InitialRefractiveIndex**3.0) /
(2 * self.YoungsModule) *
((self.DirectionalRefractiveP11 -
2 * self.PoissionsCoefficient *
self.DirectionalRefractiveP12) *
self.FBGArray['FBG' + str(i + 1)][DirecZ][j] +
((1 - self.PoissionsCoefficient) *
self.DirectionalRefractiveP12 -
self.PoissionsCoefficient *
self.DirectionalRefractiveP11) *
(self.FBGArray['FBG' + str(i + 1)][DirecY][j] +
self.FBGArray['FBG' + str(i + 1)][DirecX][j])))
if self.FBGDirection == 1: #FBG longitudinal direction (yy)
DirecX = 'S22'
DirecY = 'S11' #need to be negative
DirecZ = 'S33'
self.Dneffy.append(
-(self.InitialRefractiveIndex**3.0) /
(2 * self.YoungsModule) *
((self.DirectionalRefractiveP11 -
2 * self.PoissionsCoefficient *
self.DirectionalRefractiveP12) *
(-self.FBGArray['FBG' + str(i + 1)][DirecY][j]) +
((1 - self.PoissionsCoefficient) *
self.DirectionalRefractiveP12 -
self.PoissionsCoefficient *
self.DirectionalRefractiveP11) *
(self.FBGArray['FBG' + str(i + 1)][DirecZ][j] +
self.FBGArray['FBG' + str(i + 1)][DirecX][j])))
self.Dneffz.append(
-(self.InitialRefractiveIndex**3.0) /
(2 * self.YoungsModule) *
((self.DirectionalRefractiveP11 -
2 * self.PoissionsCoefficient *
self.DirectionalRefractiveP12) *
self.FBGArray['FBG' + str(i + 1)][DirecZ][j] +
((1 - self.PoissionsCoefficient) *
self.DirectionalRefractiveP12 -
self.PoissionsCoefficient *
self.DirectionalRefractiveP11) *
(-self.FBGArray['FBG' + str(i + 1)][DirecY][j] +
self.FBGArray['FBG' + str(i + 1)][DirecX][j])))
if self.FBGDirection == 2: #FBG longitudinal direction (zz)
DirecX = 'S33'
DirecY = 'S22'
DirecZ = 'S11' #Negative
self.Dneffy.append(
-(self.InitialRefractiveIndex**3.0) /
(2 * self.YoungsModule) *
((self.DirectionalRefractiveP11 -
2 * self.PoissionsCoefficient *
self.DirectionalRefractiveP12) *
self.FBGArray['FBG' + str(i + 1)][DirecY][j] +
((1 - self.PoissionsCoefficient) *
self.DirectionalRefractiveP12 -
self.PoissionsCoefficient *
self.DirectionalRefractiveP11) *
(-self.FBGArray['FBG' + str(i + 1)][DirecZ][j] +
self.FBGArray['FBG' + str(i + 1)][DirecX][j])))
self.Dneffz.append(
-(self.InitialRefractiveIndex**3.0) /
(2 * self.YoungsModule) *
((self.DirectionalRefractiveP11 -
2 * self.PoissionsCoefficient *
self.DirectionalRefractiveP12) *
(-self.FBGArray['FBG' + str(i + 1)][DirecZ][j]) +
((1 - self.PoissionsCoefficient) *
self.DirectionalRefractiveP12 -
self.PoissionsCoefficient *
self.DirectionalRefractiveP11) *
(self.FBGArray['FBG' + str(i + 1)][DirecY][j] +
self.FBGArray['FBG' + str(i + 1)][DirecX][j])))
# Wavelength cycle (Here the simulation resolution is used)
#YWave
for l in np.arange(self.MinBandWidth, self.MaxBandWidth,
self.SimulationResolution):
f1 = np.matrix('1 0; 0 1') #empty transfer matrix
#Cycle-Each FBG increment
for z in np.arange(0, M):
#Sigma Function
sig = 2.0 * math.pi * (
self.InitialRefractiveIndex + self.Dneffy[z]) * (
(1.0 / l) -
(1.0 /
(2.0 *
(self.InitialRefractiveIndex + self.Dneffy[z]) *
self.APFBG[i]))) + (
2 * math.pi *
self.MeanChangeRefractiveIndex / l)
#Kaa Function
kaa = math.pi * self.FringeVisibility * self.MeanChangeRefractiveIndex / l
#Gamma Function
gammab = cmath.sqrt(kaa**2.0 - sig**2.0)
#Transfer Matrix Calculation
f11 = complex(cmath.cosh(gammab * deltz),
-(sig / gammab) * cmath.sinh(gammab * deltz))
f22 = complex(cmath.cosh(gammab * deltz),
(sig / gammab) * cmath.sinh(gammab * deltz))
f12 = complex(0,
-(kaa / gammab) * cmath.sinh(gammab * deltz))
f21 = complex(0,
+(kaa / gammab) * cmath.sinh(gammab * deltz))
#Assemble Transfer Matrix
f1 = np.dot(f1, np.matrix([[f11, f12], [f21, f22]]))
#Add to the Reflection file- YWave
PO = f1[0, 0]
NO = f1[1, 0]
REF = abs(NO / PO)**2
self.TSYReflect['wavelength'].append(l) #Output File
self.TSYReflect['reflec'].append(REF) #Output File
#ZWave
for l in np.arange(self.MinBandWidth, self.MaxBandWidth,
self.SimulationResolution):
f1 = np.matrix('1 0; 0 1') #empty transfer matrix
#Cycle-Each FBG increment
for z in np.arange(0, M):
#Sigma Function
sig = 2.0 * math.pi * (
self.InitialRefractiveIndex + self.Dneffz[z]) * (
(1.0 / l) -
(1.0 /
(2.0 *
(self.InitialRefractiveIndex + self.Dneffz[z]) *
self.APFBG[i]))) + (
2 * math.pi *
self.MeanChangeRefractiveIndex / l)
#Kaa Function
kaa = math.pi * self.FringeVisibility * self.MeanChangeRefractiveIndex / l
#Gamma Function
gammab = cmath.sqrt(kaa**2.0 - sig**2.0)
#Transfer Matrix Calculation
f11 = complex(cmath.cosh(gammab * deltz),
-(sig / gammab) * cmath.sinh(gammab * deltz))
f22 = complex(cmath.cosh(gammab * deltz),
(sig / gammab) * cmath.sinh(gammab * deltz))
f12 = complex(0,
-(kaa / gammab) * cmath.sinh(gammab * deltz))
f21 = complex(0,
+(kaa / gammab) * cmath.sinh(gammab * deltz))
#Assemble Transfer Matrix
f1 = np.dot(f1, np.matrix([[f11, f12], [f21, f22]]))
#Add to the Reflection file- YWave
PO = f1[0, 0]
NO = f1[1, 0]
REF = abs(NO / PO)**2
self.TSZReflect['wavelength'].append(l) #Output File
self.TSZReflect['reflec'].append(REF) #Output File
def NonUniformStrain(self, FBGOriginalWavel, PhotoElasticParam,
InitialRefractiveIndex, MeanChangeRefractiveIndex,
FringeVisibility, MinBandWidth, MaxBandWidth,
SimulationResolution, FBGDirection):
"""
Function to Simulate the FGB Spectrum Considering Non-Uniform Strain
effects
Input:
FBGOriginalWavel: List(Mandatory)
List with the FBG array original wavelength
PhotoElasticParam: float (Mandatory)
Photo-Elastic parameter
InitialRefractiveIndex: float (Mandatory)
Initial effective refractive index (neff)
MeanChangeRefractiveIndex: float (Mandatory)
Mean induced change in the refractive index (dneff)
FringeVisibility: float (Mandatory)
Fringe Visibility (Fv)
MinBandWidth: float (Mandatory)
Light Min. Bandwidth
MaxBandWidth: float (Mandatory)
SimulationResolution: float (Mandatory)
Simulation resolution- Wavelength increment
FBGDirection: int (mandatory)
0-xx 1-yy 2-zz
"""
self.FBGOriginalWavel = FBGOriginalWavel
self.PhotoElasticParam = PhotoElasticParam
self.InitialRefractiveIndex = InitialRefractiveIndex
self.MeanChangeRefractiveIndex = MeanChangeRefractiveIndex
self.FringeVisibility = FringeVisibility
self.MinBandWidth = MinBandWidth
self.MaxBandWidth = MaxBandWidth
self.SimulationResolution = SimulationResolution
self.FBGDirection = FBGDirection
#Array with the original FBG period
self.APFBG = []
for i in np.arange(0, self.NumberFBG):
self.APFBG.append(self.FBGOriginalWavel[i] /
(2.0 * self.InitialRefractiveIndex))
#Empty Reflec spectrum -Uniform Strain
self.NUSReflect = {}
self.NUSReflect['wavelength'] = []
self.NUSReflect['reflec'] = []
#Cycle all the FBG sensors
for i in np.arange(0, self.NumberFBG):
#Sections the gratting is divided-- Transfer Matrix
M = len(self.FBGArray['FBG' + str(i + 1)]['x'])
#FBG increment size (nm)
deltz = (self.FBGLength * (10.0**6)) / M
#----Built the grating period chenged by the Non-uniform strain---
FBGperiod = []
for j in np.arange(0, M):
if self.FBGDirection == 0: #FBG longitudinal direction (xx)
FBGperiod.append(
self.APFBG[i] *
(1 + (1 - self.PhotoElasticParam) *
self.FBGArray['FBG' + str(i + 1)]['LE11'][j]))
if self.FBGDirection == 1: #FBG longitudinal direction (yy)
FBGperiod.append(
self.APFBG[i] *
(1 + (1 - self.PhotoElasticParam) *
self.FBGArray['FBG' + str(i + 1)]['LE22'][j]))
if self.FBGDirection == 2: #FBG longitudinal direction (zz)
FBGperiod.append(
self.APFBG[i] *
(1 + (1 - self.PhotoElasticParam) *
self.FBGArray['FBG' + str(i + 1)]['LE33'][j]))
# Wavelength cycle (Here the simulation resolution is used)
for l in np.arange(self.MinBandWidth, self.MaxBandWidth,
self.SimulationResolution):
f1 = np.matrix('1 0; 0 1') #empty transfer matrix
#Cycle-Each FBG increment
for z in np.arange(0, M):
#Sigma Function
sig = 2.0 * math.pi * self.InitialRefractiveIndex * (
(1.0 / l) -
(1.0 /
(2.0 * self.InitialRefractiveIndex * FBGperiod[z]))
) + (2 * math.pi * self.MeanChangeRefractiveIndex / l)
#Kaa Function
kaa = math.pi * self.FringeVisibility * self.MeanChangeRefractiveIndex / l
#Gamma Function
gammab = cmath.sqrt(kaa**2.0 - sig**2.0)
#Transfer Matrix Calculation
f11 = complex(cmath.cosh(gammab * deltz),
-(sig / gammab) * cmath.sinh(gammab * deltz))
f22 = complex(cmath.cosh(gammab * deltz),
(sig / gammab) * cmath.sinh(gammab * deltz))
f12 = complex(0,
-(kaa / gammab) * cmath.sinh(gammab * deltz))
f21 = complex(0,
+(kaa / gammab) * cmath.sinh(gammab * deltz))
#Assemble Transfer Matrix
f1 = np.dot(f1, np.matrix([[f11, f12], [f21, f22]]))
#Add to the Reflection file
PO = f1[0, 0]
NO = f1[1, 0]
REF = abs(NO / PO)**2
self.NUSReflect['wavelength'].append(l)
self.NUSReflect['reflec'].append(REF)
def UndeformedFBG(self, FBGOriginalWavel, PhotoElasticParam,
InitialRefractiveIndex, MeanChangeRefractiveIndex,
FringeVisibility, MinBandWidth, MaxBandWidth,
SimulationResolution):
"""
Function to Simulate the Undeformed FBG signal
Input:
FBGOriginalWavel: List(Mandatory)
List with the FBG array original wavelength
PhotoElasticParam: float (Mandatory)
Photo-Elastic parameter
InitialRefractiveIndex: float (Mandatory)
Initial effective refractive index (neff)
MeanChangeRefractiveIndex: float (Mandatory)
Mean induced change in the refractive index (dneff)
FringeVisibility: float (Mandatory)
Fringe Visibility (Fv)
MinBandWidth: float (Mandatory)
Light Min. Bandwidth
MaxBandWidth: float (Mandatory)
SimulationResolution: float (Mandatory)
Simulation resolution- Wavelength increment
"""
self.FBGOriginalWavel = FBGOriginalWavel
self.PhotoElasticParam = PhotoElasticParam
self.InitialRefractiveIndex = InitialRefractiveIndex
self.MeanChangeRefractiveIndex = MeanChangeRefractiveIndex
self.FringeVisibility = FringeVisibility
self.MinBandWidth = MinBandWidth
self.MaxBandWidth = MaxBandWidth
self.SimulationResolution = SimulationResolution
#Array with the Original FBG period
self.APFBG = []
for i in np.arange(0, self.NumberFBG):
self.APFBG.append(self.FBGOriginalWavel[i] *
(1 - self.MeanChangeRefractiveIndex /
self.InitialRefractiveIndex) /
(2.0 * self.InitialRefractiveIndex))
#Empty Original Reflec spectrum
self.OReflect = {}
self.OReflect['wavelength'] = []
self.OReflect['reflec'] = []
#Cycle all the FBG sensors
for i in np.arange(0, self.NumberFBG):
# Wavelength cycle (Here the simulation resolution is used)
for l in np.arange(self.MinBandWidth, self.MaxBandWidth,
self.SimulationResolution):
f1 = np.matrix('1 0; 0 1') #empty transfer matrix
M = 20.0 #Sections the gratting is divided-- Transfer Matrix
#FBG increment size (nm)
deltz = (self.FBGLength * (10.0**6)) / M
for z in np.arange(0, M):
#Sigma Function
sig = 2.0 * math.pi * self.InitialRefractiveIndex * (
(1.0 / l) -
(1.0 /
(2.0 * self.InitialRefractiveIndex * self.APFBG[i]))
) + (2 * math.pi * self.MeanChangeRefractiveIndex / l)
#Kaa Function
kaa = math.pi * self.FringeVisibility * self.MeanChangeRefractiveIndex / l
#Gamma Function
gammab = cmath.sqrt(kaa**2.0 - sig**2.0)
#Transfer Matrix Calculation
f11 = complex(cmath.cosh(gammab * deltz),
-(sig / gammab) * cmath.sinh(gammab * deltz))
f22 = complex(cmath.cosh(gammab * deltz),
(sig / gammab) * cmath.sinh(gammab * deltz))
f12 = complex(0,
-(kaa / gammab) * cmath.sinh(gammab * deltz))
f21 = complex(0,
+(kaa / gammab) * cmath.sinh(gammab * deltz))
#Assemble Transfer Matrix
f1 = np.dot(f1, np.matrix([[f11, f12], [f21, f22]]))
PO = f1[0, 0]
NO = f1[1, 0]
REF = abs(NO / PO)**2
self.OReflect['wavelength'].append(l)
self.OReflect['reflec'].append(REF)
def A2_rho(theta, u, t):
return - theta[4]*1j*u*(2 + t*ksi(theta, u))*(ksi(theta, u)*cmath.cosh(d(theta, u)*t/2) + \
d(theta, u)*cmath.sinh(d(theta, u)*t/2))/(2*d(theta, u)*theta[0])
def sinh(x):
if is_complex(x):
return cmath.sinh(x)
return math.sinh(x)
#------------------------------------------------------------------------------ # Hyperbolic functions - real version x = 0.5 assert abs(cosh(x) - math.cosh(x)) < 1e-14 assert abs(sinh(x) - math.sinh(x)) < 1e-14 assert abs(tanh(x) - math.tanh(x)) < 1e-14 #------------------------------------------------------------------------------ # Hyperbolic functions - complex version x = 0.5j assert abs(cosh(x) - cmath.cosh(x)) < 1e-14 assert abs(sinh(x) - cmath.sinh(x)) < 1e-14 assert abs(tanh(x) - cmath.tanh(x)) < 1e-14 assert abs(acosh(x) - cmath.acosh(x)) < 1e-14 assert abs(asinh(x) - cmath.asinh(x)) < 1e-14 assert abs(atanh(x) - cmath.atanh(x)) < 1e-14 #------------------------------------------------------------------------------ # Rounding operations. assert type(round(0.5)) is mpf assert type(round(mpq(1,2))) is mpf assert type(floor(0.5)) is mpf assert type(ceil(0.5)) is mpf assert round(0.5) == 1
c = 2 + 2j
print('arc sine =', cmath.asin(c))
print('arc cosine =', cmath.acos(c))
print('arc tangent =', cmath.atan(c))
print('sine =', cmath.sin(c))
print('cosine =', cmath.cos(c))
print('tangent =', cmath.tan(c))
# hyperbolic functions
c = 2 + 2j
print('inverse hyperbolic sine =', cmath.asinh(c))
print('inverse hyperbolic cosine =', cmath.acosh(c))
print('inverse hyperbolic tangent =', cmath.atanh(c))
print('hyperbolic sine =', cmath.sinh(c))
print('hyperbolic cosine =', cmath.cosh(c))
print('hyperbolic tangent =', cmath.tanh(c))
# classification functions
print(cmath.isfinite(2 + 2j)) # True
print(cmath.isfinite(cmath.inf + 2j)) # False
print(cmath.isinf(2 + 2j)) # False
print(cmath.isinf(cmath.inf + 2j)) # True
print(cmath.isinf(cmath.nan + 2j)) # False
print(cmath.isnan(2 + 2j)) # False
print(cmath.isnan(cmath.inf + 2j)) # False
print(cmath.isnan(cmath.nan + 2j)) # True
def sin_impl(z):
"""cmath.sin(z) = -j * cmath.sinh(z j)"""
r = cmath.sinh(complex(-z.imag, z.real))
return complex(r.imag, -r.real)
def coth(x):
return cosh(x)/sinh(x)
def A2(theta, u, t):
return d(theta, u) * cmath.cosh(d(theta, u) * t / 2) / theta[0] + ksi(
theta, u) * cmath.sinh(d(theta, u) * t / 2) / theta[0]
def mycotanh(z):
return cmath.cosh(z) / cmath.sinh(z)
def __new__(cls, argument):
if isinstance(argument, (RealValue, Zero)):
return FloatValue(math.sinh(float(argument)))
if isinstance(argument, (ComplexValue)):
return ComplexValue(cmath.sinh(complex(argument)))
return MathFunction.__new__(cls)
Power and Log Functions
The cmath() module provides some useful functions for logarithmic
and power operations.
"""
c = 1+2j
print('e^c = ', cmath.exp(c))
print('log2(c) = ', cmath.log(c,2))
print('log10(c) = ', cmath.log10(c))
print('sqrt(c) = ', cmath.sqrt(c))
"""
Trigonometric Functions
"""
c = 2+4j
print('arc sine value:\n ', cmath.asin(c))
print('arc cosine value:\n ', cmath.acos(c))
print('arc tangent value:\n ', cmath.atan(c))
print('sine value:\n ', cmath.sin(c))
print('cosine value:\n ', cmath.cos(c))
print('tangent value:\n ', cmath.tan(c))
"""
Hyperbolic Functions
"""
c = 2+4j
print('Inverse hyperbolic sine value: \n', cmath.asinh(c))
print('Inverse hyperbolic cosine value: \n', cmath.acosh(c))
print('Inverse hyperbolic tangent value: \n', cmath.atanh(c))
print('Inverse sine value: \n', cmath.sinh(c))
print('Inverse cosine value: \n', cmath.cosh(c))
print('Inverse tangent value: \n', cmath.tanh(c))
def sinh_usecase(x):
return cmath.sinh(x)
def cosh(self):
comp_value = cmath.cosh(self.comp_value)
dxr = cmath.sinh(self.comp_value)
comp_unc = self.comp_unc * dxr # if y = coshx than U(y) = U(x)sinhx
return Ucom(comp_value, comp_unc, self.name, self.dep)
def Intergration (self,u):
sigma = self.sigma
eta = self.eta
kappa = self.kappa
rho = self.rho
theta = self.theta
S0 = self.S0
r = self.r
T = self.T
ii = complex(0,1)
l = cmath.sqrt( sigma ** 2 * ( u ** 2 + ii * u ) + ( kappa - ii * rho * sigma * u) ** 2)
w = np.exp(ii * u * np.log(S0) + ii * u * (r - 0) * T + kappa * theta * T * (kappa - ii * rho * sigma * u)/ sigma ** 2)/(cmath.cosh(l * T/2) + (kappa - ii * rho * sigma * u) / l * cmath.sinh(l * T/2)) ** (2 * kappa * theta/sigma**2)
E = w * np.exp(-(u ** 2 + ii * u) * eta/( l / cmath.tanh( l * T/2) + kappa - ii * rho * sigma * u))
return E
def mycotanh(z):
return cmath.cosh(z)/cmath.sinh(z)
def doTop(self, filePar):
self.initHTML()
f = ROOT.TFile('ntuple.root')
#f.cd('CollectionTree')
mytree = ROOT.gDirectory.Get('CollectionTree')
m_drmin = ROOT.TH1F("m_drmin", "drmin", 100, -0.2, 0.2)
m_h1 = ROOT.TH1F("m_h1", "Energy resolution", 100, -0.25, 0.25)
m_h1.SetXTitle("(E_{t}(reco)-E_{t}(true))/E_{t}(true)")
m_h2 = ROOT.TH1F("m_h2", "Phi resolution", 100, -0.01, 0.01)
m_h2.SetXTitle("#Phi resolution (rad)")
m_h3 = ROOT.TH1F("m_h3", "Eta resolution in the barrel", 100, -0.01,
0.01)
m_h3.SetXTitle("#eta resolution")
m_h4 = ROOT.TH1F("m_h4", "Eta resolution in the endcap", 100, -0.01,
0.01)
m_h4.SetXTitle("#eta resolution")
m_h5 = ROOT.TH1F("m_h5", "Efficiency vs eta", 50, -3, 3)
m_h5.SetXTitle("#eta")
m_tmp1 = ROOT.TH1F("m_tmp1", "EtaGen", 50, -3, 3)
m_tmp2 = ROOT.TH1F("m_tmp2", "cl_eta", 50, -3, 3)
entries = mytree.GetEntriesFast()
for jentry in xrange(entries):
ientry = mytree.LoadTree(jentry)
if ientry < 0:
break
nb = mytree.GetEntry(jentry)
if nb <= 0:
continue
nEvent = int(mytree.IEvent)
if nEvent < 0:
continue
indEle = []
iele = 0
for ipart in range(0, mytree.NPar):
if abs((mytree.Type)[ipart]) == 11 and abs(
(mytree.Type)[(mytree.KMothNt)[ipart]]) == 24:
#indEle[iele]=ipart
indEle.append(ipart)
m_tmp2.Fill((mytree.EtaGen)[indEle[iele]])
iele = +1
if iele > 4:
logger.info('two many electrons')
return -1
nele = iele
# a quel cluster correspond quel electron ?
# je tourne sur ts les clusters de l ev
for ic in range(0, mytree.cl_nc):
drmin = 9999.
im = 0
# pour un cluster donne je tourne sur tous les electrons primaires trouves precedemment et je minimise dr pour savoir celui qui est le plus pres du cluster
for iele in range(0, nele):
deta = (mytree.EtaGen)[indEle[iele]] - (mytree.cl_eta)[ic]
dphi = (mytree.PhiGen)[indEle[iele]] - (mytree.cl_phi)[ic]
if dphi > math.pi:
dphi = math.fabs(dphi) - 2. * math.pi
dr = math.sqrt(dphi * dphi + deta * deta)
if dr < drmin:
drmin = dr
im = iele
# l'electron matchant le cluster a l'indice im
m_drmin.Fill(drmin)
if drmin < 0.1:
etacl = (mytree.cl_eta)[ic]
phicl = (mytree.cl_phi)[ic]
etcl = (mytree.cl_et)[ic]
etae = (mytree.EtaGen)[indEle[im]]
if math.fabs((mytree.cl_eta)[ic]) > 1.475:
etaclcor = cmath.asinh(
cmath.sinh((mytree.cl_eta)[ic]) *
(1 - (mytree.ZV)[mytree.IVPrimary] / (self.mysign(
(mytree.cl_eta)[ic]) * 3800.0)))
phiclcor = (mytree.cl_phi)[ic] + (
0.3 * 3800 *
(-(mytree.Type)[indEle[im]] / 11.0) * self.mysign(
(mytree.cl_eta)[ic])) / (
(mytree.cl_et)[ic] * cmath.sinh(
(mytree.cl_eta)[ic]))
m_h4.Fill((etaclcor - etae).real)
else:
etaclcor = cmath.asinh(
cmath.sinh((mytree.cl_eta)[ic]) -
(mytree.ZV)[mytree.IVPrimary] / 1600.0)
phiclcor = (mytree.cl_phi)[ic] + (
0.3 * 1600.0 *
(-(mytree.Type)[indEle[im]] / 11.0) /
(mytree.cl_et)[ic])
m_h3.Fill((etaclcor - etae).real)
phie = (mytree.PhiGen)[indEle[im]]
ete = (mytree.PtGen)[indEle[im]]
try:
m_h2.Fill(phiclcor.real - phie)
except:
m_h2.Fill(phiclcor - phie)
m_h1.Fill((etcl - ete) / ete)
m_tmp1.Fill(etae)
ROOT.gStyle.SetOptFit(1011)
m_h1.Fit("gaus")
m_h2.Fit("gaus")
m_h3.Fit("gaus")
m_h4.Fit("gaus")
res1 = self.saveHisto(m_h1, filePar, '')
res2 = self.saveHisto(m_h2, filePar, '')
res3 = self.saveHisto(m_h3, filePar, '')
res4 = self.saveHisto(m_h4, filePar, '')
m_h5.Divide(m_tmp1, m_tmp2, 1, 1, "B")
res5 = self.saveHisto(m_h5, filePar, "E")
if res1 == -1 or res2 == -1 or res3 == -1 or res4 == -1 or res5 == -1:
return -1
else:
return 0
def Heston_cf(self,u):
""" Define a function that computes the characteristic function for variance gamma
"""
sigma = self.sigma
eta0 = self.eta0
kappa = self.kappa
rho = self.rho
theta = self.theta
S0 = self.S0
r = self.r
T = self.T
ii = complex(0,1)
l = cmath.sqrt(sigma**2*(u**2+ii*u)+(kappa-ii*rho*sigma*u)**2)
w = np.exp(ii*u*np.log(S0)+ii*u*(r-0)*T+kappa*theta*T*(kappa-ii*rho*sigma*u)/sigma**2)/(cmath.cosh(l*T/2)+(kappa-ii*rho*sigma*u)/l*cmath.sinh(l*T/2))**(2*kappa*theta/sigma**2)
y = w*np.exp(-(u**2+ii*u)*eta0/(l/cmath.tanh(l*T/2)+kappa-ii*rho*sigma*u))
return y
def sin_impl(z):
"""cmath.sin(z) = -j * cmath.sinh(z j)"""
r = cmath.sinh(complex(-z.imag, z.real))
return complex(r.imag, -r.real)
def p_expression_senh(t):
'expression : SENH expression'
t[0] = cmath.sinh(t[2])
def __new__(cls, argument):
if isinstance(argument, (RealValue, Zero)):
return FloatValue(math.sinh(float(argument)))
if isinstance(argument, (ComplexValue)):
return ComplexValue(cmath.sinh(complex(argument)))
return MathFunction.__new__(cls)
def IBLLogCalc(epsilon, M, corPar, MS, MODB, stratPar_back, EkmanDepth_back, frVelCpx_back,
tempScale_back, roughLength_m_back, roughLength_h_back, tempTop, gam, tempSurf_back,
geostrWindCpx, d, tempSurf, roughLength_h, roughLength_m, stratPar, frVelCpx, tempScale, MOD=None):
CHARNOCKCONST = 0.018
GRAVITYACC = 9.8
VONKARMANCONST = 0.41
BETA = GRAVITYACC / 300
VA = 14e-6
SBLHeight_back = epsilon * EkmanDepth_back
K_back = EkmanDepth_back ** 2 * corPar / 2
K = K_back
geostrWind = abs(geostrWindCpx)
angle = cmath.phase(geostrWindCpx)
# iteration for the drag coefficient
it = 0
mistake = 1
tmpFrVelCpx = frVelCpx
tmpTempScale = tempScale
K_back = EkmanDepth_back ** 2 * corPar / 2
gama = max(0, gam)
lambInv_back = 1 / lambdaCalc(epsilon, stratPar_back)
while mistake > 0.0001:
it += 1
tmpFrVelCpx = 0.3 * frVelCpx + 0.7 * tmpFrVelCpx
tmpFrVel = abs(tmpFrVelCpx)
tmpTempScale = 0.3 * tempScale + 0.7 * tmpTempScale
heatFlux = - tmpFrVel * tempScale
stratPar = VONKARMANCONST ** 2 * BETA * tmpTempScale / (corPar * tmpFrVel)
roughLength_m = roughLength_m * MS + \
(CHARNOCKCONST * tmpFrVel ** 2 / GRAVITYACC + 0.14 * VA / tmpFrVel) * (1 - MS)
lambInv = 1 / lambdaCalc(epsilon, stratPar)
if MOD != 'initial':
tmpStratPar = stratPar * d / epsilon
else:
tmpStratPar = stratPar * d / EkmanDepth_back / epsilon
profileFunc_m = profileFunc_momentum_Calc(lambInv, epsilon, tmpStratPar)
profileFunc_h = profileFunc_heat_Calc(lambInv, epsilon, tmpStratPar)
EkmanDepth = VONKARMANCONST * tmpFrVel / (corPar * lambInv)
SBLHeight = epsilon * EkmanDepth
K = EkmanDepth ** 2 * corPar / 2
if MOD != 'initial':
delta = EkmanDepth * d
else:
delta = d
if delta <= SBLHeight_back:
tmpStratPar_back = stratPar_back * delta / SBLHeight_back
profileFunc_m_back = profileFunc_momentum_Calc(lambInv_back, epsilon, tmpStratPar_back)
profileFunc_h_back = profileFunc_heat_Calc(lambInv_back, epsilon, tmpStratPar_back)
windCpx_back = frVelCpx_back / VONKARMANCONST * (math.log(delta / roughLength_m_back) - profileFunc_m_back)
temp = tempSurf_back + tempScale_back / VONKARMANCONST *\
(math.log(delta / roughLength_h_back) - profileFunc_h_back)
else:
dm = M - epsilon
ksi = (delta - SBLHeight_back) / (EkmanDepth_back * dm)
tmpKsi = ksi
ksi = min(1, ksi)
Coeff = (1 -1j) * cmath.sinh((1 + 1j) * dm * (1 - ksi)) / cmath.cosh((1 + 1j) * dm)
windCpx_back = geostrWindCpx - lambInv_back * frVelCpx_back / VONKARMANCONST * Coeff
temp = tempTop - 2 * lambInv_back * tempScale_back / VONKARMANCONST * dm * (1 - tmpKsi)
if gam <= 0:
alg = 1
epst = 0
else:
alg = (abs(heatFlux) + abs(gama * K_back)) / (abs(heatFlux) + abs(gama * K))
alg = min(1, alg)
epst = max(0, 1 / 4 * heatFlux / (K * gama * alg))
temp -= epst * gama * delta
frVelCpx = VONKARMANCONST * windCpx_back / (math.log(delta / roughLength_m) - profileFunc_m)
tempScale = VONKARMANCONST * (temp - tempSurf) / (math.log(delta / roughLength_h) - profileFunc_h)
mistake = abs(tmpFrVelCpx - frVelCpx) / abs(tmpFrVelCpx)
if it > 100:
print 'error in IBLCalc'
alpha = alg * (1 - (delta / (M * EkmanDepth)) ** 4)
break
alpha = alg * (1 - (delta / (M * EkmanDepth)) ** 4)
RES = [stratPar, EkmanDepth, frVelCpx, tempScale, temp, roughLength_m, windCpx_back, alpha, epst]
return RES
def sinh_usecase(x):
return cmath.sinh(x)
#------------------------------------------------------------------------------ # Hyperbolic functions - real version x = 0.5 assert abs(cosh(x) - math.cosh(x)) < 1e-14 assert abs(sinh(x) - math.sinh(x)) < 1e-14 assert abs(tanh(x) - math.tanh(x)) < 1e-14 #------------------------------------------------------------------------------ # Hyperbolic functions - complex version x = 0.5j assert abs(cosh(x) - cmath.cosh(x)) < 1e-14 assert abs(sinh(x) - cmath.sinh(x)) < 1e-14 assert abs(tanh(x) - cmath.tanh(x)) < 1e-14 assert abs(acosh(x) - cmath.acosh(x)) < 1e-14 assert abs(asinh(x) - cmath.asinh(x)) < 1e-14 assert abs(atanh(x) - cmath.atanh(x)) < 1e-14 #------------------------------------------------------------------------------ # Rounding operations. assert type(round(0.5)) is mpf assert type(round(mpq(1, 2))) is mpf assert type(floor(0.5)) is mpf assert type(ceil(0.5)) is mpf assert round(0.5) == 1
def rpn_calc(input, angle_mode = 0):
global stack
single_arg_funcs = ['exp','sqrt','sin','asin','cos','acos','tan','atan', 'sinh','asinh','cosh','acosh','tanh',
'atanh','!', 'polar']
num, arg, option = parse(input)
#print(num, arg, option)
#print('\n')
if arg == None and (num != None or num != 'Error'):
config.stack.append(num)
history.append('Entered number: ' + str(num) )
return config.stack
# Simple arithmatic-----------------------------------------------------------------------
if option == None and num != None:
if arg not in single_arg_funcs:
last = config.stack.pop()
if arg == '+':
try:
result = Decimal(last) + Decimal(num)
hist = str(last) + '+' + str(num) + '=' + str(result)
except TypeError:
result = last + num
hist = str(last) + '+' + str(num) + '=' + str(result)
if arg == '-':
try:
result = Decimal(last) - Decimal(num)
hist = str(last) + '-' + str(num) + '=' + str(result)
except TypeError:
result = last - num
hist = str(last) + '-' + str(num) + '=' + str(result)
if arg == '*':
try:
result = Decimal(last) * Decimal(num)
hist = str(last) + '*' + str(num) + '=' + str(result)
except TypeError:
result = last * num
hist = str(last) + '*' + str(num) + '=' + str(result)
if arg == '/':
try:
result = Decimal(last) / Decimal(num)
hist = str(last) + '/' + str(num) + '=' + str(result)
except TypeError:
result = last / num
hist = str(last) + '/' + str(num) + '=' + str(result)
if arg == '**':
try:
result = pow(Decimal(last), Decimal(num) )
hist = str(last) + '**' + str(num) + '=' + str(result)
except TypeError:
result = last ** num
hist = str(last) + '**' + str(num) + '=' + str(result)
if arg == 'rt':
try:
result = root(Decimal(last), Decimal(num) )
hist = str(last) + 'raised to 1 over ' + str(num) + '=' + str(result)
except TypeError:
result = root(last + num)
hist = str(last) + 'raised to 1 over ' + str(num) + '=' + str(result)
if arg == '%':
try:
result = Decimal(last) % Decimal(num)
hist = str(last) + '%' + str(num) + '=' + str(result)
except TypeError:
result = last % num
hist = str(last) + '%' + str(num) + '=' + str(result)
if arg == '!':
try:
result = Decimal(math.factorial(num))
hist = str(num) + '!' + '=' + str(result)
except TypeError:
result = math.factorial(num)
hist = str(num) + '!' + '=' + str(result)
if arg == 'exp':
try:
result = math.exp(Decimal(num))
hist = str(num) + 'exp' + '=' + str(result)
except ValueError:
result = cmath.exp(Decimal(num))
hist = str(num) + 'exp' + '=' + str(result)
except TypeError:
result = cmath.exp(num)
hist = str(num) + 'exp' + '=' + str(result)
if arg == 'sqrt':
try:
result = math.sqrt(Decimal(num))
hist = str(num) + 'sqrt' + '=' + str(result)
except ValueError:
result = cmath.sqrt(Decimal(num))
hist = str(num) + 'sqrt' + '=' + str(result)
except TypeError:
result = cmath.sqrt(num)
hist = str(num) + 'sqrt' + '=' + str(result)
if arg == 'log':
try:
result = math.log10(Decimal(num))
hist = str(num) + 'log10' + '=' + str(result)
except ValueError:
result = cmath.log10(Decimal(num))
hist = str(num) + 'log10' + '=' + str(result)
except TypeError:
result = cmath.log10(num)
hist = str(num) + 'log10' + '=' + str(result)
#=================================
if arg == 'ln':
try:
result = math.log(Decimal(num))
hist = str(num) + 'ln' + '=' + str(result)
except ValueError:
result = cmath.log(Decimal(num))
hist = str(num) + 'ln' + '=' + str(result)
except TypeError:
result = cmath.log(num)
hist = str(num) + 'ln' + '=' + str(result)
#--------TRIG--------------------------------
if arg == 'sin':
if angle_mode == 1:
try:
result = math.sin(Decimal(num))
hist = 'sin' + str(num) + '=' + str(result)
except TypeError:
result = cmath.sin(num)
hist = 'sin' + str(num) + '=' + str(result)
elif angle_mode == 0:
try:
result = math.sin(math.radians(Decimal(num)))
hist = 'sin' + str(num) + '=' + str(result)
except TypeError:
result = cmath.sin(num)
hist = 'sin' + str(num) + '=' + str(result)
if arg == 'cos':
if angle_mode == 1:
try:
result = math.cos(Decimal(num))
hist = 'cos' + str(num) + '=' + str(result)
except TypeError:
result = cmath.cos(num)
hist = 'cos' + str(num) + '=' + str(result)
elif angle_mode == 0:
try:
result = math.cos(math.radians(Decimal(num)))
hist = 'cos' + str(num) + '=' + str(result)
except TypeError:
result = cmath.cos(num)
hist = 'cos' + str(num) + '=' + str(result)
if arg == 'tan':
if angle_mode == 1:
try:
result = math.tan(Decimal(num))
hist = 'tan' + str(num) + '=' + str(result)
except TypeError:
result = cmath.tan(num)
hist = 'tan' + str(num) + '=' + str(result)
elif angle_mode == 0:
try:
result = math.tan(math.radians(Decimal(num)))
hist = 'tan' + str(num) + '=' + str(result)
except TypeError:
result = cmath.tan(num)
hist = 'tan' + str(num) + '=' + str(result)
if arg == 'asin':
if angle_mode == 1:
try:
result = math.asin(Decimal(num))
hist = 'asin' + str(num) + '=' + str(result)
except TypeError:
result = cmath.asin(num)
hist = 'asin' + str(num) + '=' + str(result)
elif angle_mode == 0:
try:
result = math.asin(math.radians(Decimal(num)))
hist = 'asin' + str(num) + '=' + str(result)
except TypeError:
result = cmath.asin(num)
hist = 'asin' + str(num) + '=' + str(result)
if arg == 'acos':
if angle_mode == 1:
try:
result = math.acos(Decimal(num))
hist = 'acos' + str(num) + '=' + str(result)
except TypeError:
result = cmath.acos(num)
hist = 'acos' + str(num) + '=' + str(result)
elif angle_mode == 0:
try:
result = math.acos(math.radians(Decimal(num)))
hist = 'acos' + str(num) + '=' + str(result)
except TypeError:
result = cmath.acos(num)
hist = 'acos' + str(num) + '=' + str(result)
if arg == 'atan':
if angle_mode == 1:
try:
result = math.atan(Decimal(num))
hist = 'atan' + str(num) + '=' + str(result)
except TypeError:
result = cmath.atan(num)
hist = 'atan' + str(num) + '=' + str(result)
elif angle_mode == 0:
try:
result = math.atan(math.radians(Decimal(num)))
hist = 'atan' + str(num) + '=' + str(result)
except TypeError:
result = cmath.atan(num)
hist = 'atan' + str(num) + '=' + str(result)
if arg == 'sinh':
try:
result = math.sinh(Decimal(num))
hist = 'sinh' + str(num) + '=' + str(result)
except TypeError:
result = cmath.sinh(num)
hist = 'sinh' + str(num) + '=' + str(result)
if arg == 'cosh':
try:
result = math.cosh(Decimal(num))
hist = 'cosh' + str(num) + '=' + str(result)
except TypeError:
result = cmath.cosh(num)
hist = 'cosh' + str(num) + '=' + str(result)
if arg == 'tanh':
try:
result = math.tanh(Decimal(num))
hist = 'tanh' + str(num) + '=' + str(result)
except TypeError:
result = cmath.tanh(num)
hist = 'tanh' + str(num) + '=' + str(result)
if arg == 'asinh':
try:
result = math.asinh(Decimal(num))
hist = 'asinh' + str(num) + '=' + str(result)
except TypeError:
result = cmath.asinh(num)
hist = 'asinh' + str(num) + '=' + str(result)
if arg == 'acosh':
try:
result = math.acosh(Decimal(num))
hist = 'acosh' + str(num) + '=' + str(result)
except TypeError:
result = cmath.acosh(num)
hist = 'acosh' + str(num) + '=' + str(result)
if arg == 'atanh':
try:
result = math.atanh(Decimal(num))
hist = 'atanh' + str(num) + '=' + str(result)
except TypeError:
result = cmath.atanh(num)
hist = 'atanh' + str(num) + '=' + str(result)
if arg == 'rect': #continue here....
try:
result = rect(last, num)
hist = 'Convert ' + str(last) + ',' + str(num) + ' to rectangular coords.'
except TypeError:
result = 'Error'
hist = 'Error in attempted conversion to rectangular coords. No result.'
if arg == 'polar':
try:
result = polar(num)
hist = 'Convert ' + str(num) + ' to polar coords.'
except TypeError:
result = 'Error'
hist = 'Error in attempted conversion to polar coords. No result.'
config.stack.append(result)
history.append(hist)
return config.stack
#=======================================================================================================================
#----Only argument passed-----------------------------------------------------------------------------------------------
#=======================================================================================================================
elif option == None and num == None:
last = config.stack.pop()
if arg not in single_arg_funcs:
try:
n_minus1 = config.stack.pop()
except IndexError:
try:
config.stack.append(Decimal(last))
except TypeError:
config.stack.append(last)
except TypeError:
config.stack.append(last)
except Exception as e:
return 'Error'
if arg == '+':
try:
result = Decimal(n_minus1) + Decimal(last)
hist = str(n_minus1) + '+' + str(last) + '=' + str(result)
except TypeError:
result = n_minus1 + last
hist = str(n_minus1) + '+' + str(last) + '=' + str(result)
if arg == '-':
try:
result = Decimal(n_minus1) - Decimal(last)
hist = str(n_minus1) + '-' + str(last) + '=' + str(result)
except TypeError:
result = n_minus1 - last
hist = str(n_minus1) + '-' + str(last) + '=' + str(result)
if arg == '*':
try:
result = Decimal(n_minus1) * Decimal(last)
hist = str(n_minus1) + '*' + str(last) + '=' + str(result)
except TypeError:
result = n_minus1 * last
hist = str(n_minus1) + '*' + str(last) + '=' + str(result)
if arg == '/':
try:
result = Decimal(n_minus1) / Decimal(last)
hist = str(n_minus1) + '/' + str(last) + '=' + str(result)
except TypeError:
result = n_minus1 / last
hist = str(n_minus1) + '/' + str(last) + '=' + str(result)
if arg == '!':
try:
result = Decimal(math.factorial(last))
hist = str(last) + '!' '=' + str(result)
except TypeError:
result = math.factorial(last)
hist = str(last) + '!' '=' + str(result)
except OverflowError:
config.stack.append(last)
hist = str('Factorial overflow error, no result.')
return 'Error'
if arg == '**':
try:
result = pow(Decimal(last), Decimal(last))
hist = str(n_minus1) + '**' + str(last) + '=' + str(result)
except TypeError:
result = last ** last
hist = str(n_minus1) + '**' + str(last) + '=' + str(result)
if arg == 'log':
try:
result = math.log10(Decimal(last))
hist = str(last) +'log10' + '=' + str(result)
except ValueError:
result = cmath.log10(Decimal(last))
hist = str(last) +'log10' + '=' + str(result)
except TypeError:
result = cmath.log10(last)
hist = str(last) +'log10' + '=' + str(result)
if arg == 'ln':
try:
result = math.log(Decimal(last))
hist = str(last) +'ln' + '=' + str(result)
except ValueError:
result = cmath.log(Decimal(last))
hist = str(last) +'ln' + '=' + str(result)
except TypeError:
result = cmath.log(last)
hist = str(last) +'ln' + '=' + str(result)
if arg == 'rt':
try:
result = root(Decimal(last), Decimal(n_minus1))
hist = str(n_minus1) + 'root' + str(last) + '=' + str(result)
except TypeError:
result = root(last), (n_minus1)
hist = str(n_minus1) + 'root' + str(last) + '=' + str(result)
if arg == 'exp':
try:
result = math.exp(Decimal(last))
hist = str(last) +'exp' + '=' + str(result)
except TypeError:
result = cmath.exp(last)
hist = str(last) +'exp' + '=' + str(result)
if arg == 'sqrt':
try:
result = math.sqrt(Decimal(last))
hist = 'Square root of ' + str(last) + '=' + str(result)
except ValueError:
result = cmath.sqrt(Decimal(last))
hist = 'Square root of ' + str(last) + '=' + str(result)
except TypeError:
result = cmath.sqrt(last)
hist = 'Square root of ' + str(last) + '=' + str(result)
#----------Trig----------------------------------------
#--------TRIG--------------------------------
if arg == 'sin':
if angle_mode == 1:
try:
result = math.sin(Decimal(last))
hist = 'sin' + str(last) + '=' + str(result)
except TypeError:
result = cmath.sin(last)
hist = 'sin' + str(last) + '=' + str(result)
elif angle_mode == 0:
try:
result = math.sin(math.radians(Decimal(last)))
hist = 'sin' + str(last) + '=' + str(result)
except TypeError:
result = cmath.sin(last)
hist = 'sin' + str(last) + '=' + str(result)
if arg == 'cos':
if angle_mode == 1:
try:
result = math.cos(Decimal(last))
hist = 'cos' + str(last) + '=' + str(result)
except TypeError:
result = cmath.cos(last)
hist = 'cos' + str(last) + '=' + str(result)
elif angle_mode == 0:
try:
result = math.cos(math.radians(Decimal(last)))
hist = 'cos' + str(last) + '=' + str(result)
except TypeError:
result = cmath.cos(last)
hist = 'cos' + str(last) + '=' + str(result)
if arg == 'tan':
if angle_mode == 1:
try:
result = math.tan(Decimal(last))
hist = 'tan' + str(last) + '=' + str(result)
except TypeError:
result = cmath.tan(last)
hist = 'tan' + str(last) + '=' + str(result)
elif angle_mode == 0:
try:
result = math.tan(math.radians(Decimal(last)))
hist = 'tan' + str(last) + '=' + str(result)
except TypeError:
result = cmath.tan(last)
hist = 'tan' + str(last) + '=' + str(result)
if arg == 'asin':
if angle_mode == 1:
try:
result = math.asin(Decimal(last))
hist = 'asin' + str(last) + '=' + str(result)
except TypeError:
result = cmath.asin(last)
hist = 'asin' + str(last) + '=' + str(result)
elif angle_mode == 0:
try:
result = math.asin(math.radians(Decimal(last)))
hist = 'asin' + str(last) + '=' + str(result)
except TypeError:
result = cmath.asin(last)
hist = 'asin' + str(last) + '=' + str(result)
if arg == 'acos':
if angle_mode == 1:
try:
result = math.acos(Decimal(last))
hist = 'acos' + str(last) + '=' + str(result)
except TypeError:
result = cmath.acos(last)
hist = 'acos' + str(last) + '=' + str(result)
elif angle_mode == 0:
try:
result = math.acos(math.radians(Decimal(last)))
hist = 'acos' + str(last) + '=' + str(result)
except TypeError:
result = cmath.acos(last)
hist = 'acos' + str(last) + '=' + str(result)
if arg == 'atan':
if angle_mode == 1:
try:
result = math.atan(Decimal(last))
hist = 'atan' + str(last) + '=' + str(result)
except TypeError:
result = cmath.atan(last)
hist = 'atan' + str(last) + '=' + str(result)
elif angle_mode == 0:
try:
result = math.atan(math.radians(Decimal(last)))
hist = 'atan' + str(last) + '=' + str(result)
except TypeError:
result = cmath.atan(last)
hist = 'atan' + str(last) + '=' + str(result)
if arg == 'sinh':
try:
result = math.sinh(Decimal(last))
hist = 'sinh' + str(last) + '=' + str(result)
except TypeError:
result = math.sinh(last)
hist = 'sinh' + str(last) + '=' + str(result)
if arg == 'cosh':
try:
result = math.cosh(Decimal(last))
hist = 'cosh' + str(last) + '=' + str(result)
except TypeError:
result = math.cosh(last)
hist = 'cosh' + str(last) + '=' + str(result)
if arg == 'tanh':
try:
result = math.tanh(Decimal(last))
hist = 'tanh' + str(last) + '=' + str(result)
except TypeError:
result = math.tanh(last)
hist = 'tanh' + str(last) + '=' + str(result)
if arg == 'asinh':
try:
result = math.asinh(Decimal(last))
hist = 'asinh' + str(last) + '=' + str(result)
except TypeError:
result = math.asinh(last)
hist = 'asinh' + str(last) + '=' + str(result)
if arg == 'acosh':
try:
result = math.acosh(Decimal(last))
hist = 'acosh' + str(last) + '=' + str(result)
except TypeError:
result = math.acosh(last)
hist = 'acosh' + str(last) + '=' + str(result)
if arg == 'atanh':
try:
result = math.atanh(Decimal(last))
hist = 'atanh' + str(last) + '=' + str(result)
except TypeError:
result = math.atanh(last)
hist = 'atanh' + str(last) + '=' + str(result)
if arg == 'rect': #continue here....
try:
result = rect(n_minus1, last)
hist = 'Convert ' + str(n_minus1) + ',' + str(last) + ' to rectangular coords.'
except TypeError:
result = 'Error'
hist = 'Error in attempted conversion to rectangular coords. No result.'
if arg == 'polar':
try:
result = polar(last)
hist = 'Convert complex value ' + str(last) + ' to rectangular coords.'
except TypeError:
result = 'Error'
hist = 'Error in attempted conversion to polar coords. No result.'
config.stack.append(result)
history.append(hist)
return config.stack
def Coth(x): return cmath.cosh(x)/cmath.sinh(x)
c = 2 + 2j
print('arc sine =', cmath.asin(c))
print('arc cosine =', cmath.acos(c))
print('arc tangent =', cmath.atan(c))
print('sine =', cmath.sin(c))
print('cosine =', cmath.cos(c))
print('tangent =', cmath.tan(c))
# hyperbolic functions
c = 2 + 2j
print('inverse hyperbolic sine =', cmath.asinh(c))
print('inverse hyperbolic cosine =', cmath.acosh(c))
print('inverse hyperbolic tangent =', cmath.atanh(c))
print('hyperbolic sine =', cmath.sinh(c))
print('hyperbolic cosine =', cmath.cosh(c))
print('hyperbolic tangent =', cmath.tanh(c))
# classification functions
print(cmath.isfinite(2 + 2j)) # True
print(cmath.isfinite(cmath.inf + 2j)) # False
print(cmath.isinf(2 + 2j)) # False
print(cmath.isinf(cmath.inf + 2j)) # True
print(cmath.isinf(cmath.nan + 2j)) # False
print(cmath.isnan(2 + 2j)) # False
print(cmath.isnan(cmath.inf + 2j)) # False
print(cmath.isnan(cmath.nan + 2j)) # True
def test_sinh(self):
self.assertAlmostEqual(complex(-6.54812, -7.61923),
cmath.sinh(complex(3, 4)))
def UndeformedFBG(self,FBGOriginalWavel,PhotoElasticParam,InitialRefractiveIndex,MeanChangeRefractiveIndex,FringeVisibility,MinBandWidth,MaxBandWidth,SimulationResolution):
"""
Function to Simulate the Undeformed FBG signal
Input:
FBGOriginalWavel: List(Mandatory)
List with the FBG array original wavelength
PhotoElasticParam: float (Mandatory)
Photo-Elastic parameter
InitialRefractiveIndex: float (Mandatory)
Initial effective refractive index (neff)
MeanChangeRefractiveIndex: float (Mandatory)
Mean induced change in the refractive index (dneff)
FringeVisibility: float (Mandatory)
Fringe Visibility (Fv)
MinBandWidth: float (Mandatory)
Light Min. Bandwidth
MaxBandWidth: float (Mandatory)
SimulationResolution: float (Mandatory)
Simulation resolution- Wavelength increment
"""
self.FBGOriginalWavel=FBGOriginalWavel
self.PhotoElasticParam=PhotoElasticParam
self.InitialRefractiveIndex=InitialRefractiveIndex
self.MeanChangeRefractiveIndex=MeanChangeRefractiveIndex
self.FringeVisibility=FringeVisibility
self.MinBandWidth=MinBandWidth
self.MaxBandWidth=MaxBandWidth
self.SimulationResolution=SimulationResolution
#Array with the Original FBG period
self.APFBG=[]
for i in np.arange(0,self.NumberFBG):
self.APFBG.append(self.FBGOriginalWavel[i]*(1-self.MeanChangeRefractiveIndex/self.InitialRefractiveIndex)/(2.0*self.InitialRefractiveIndex))
#Empty Original Reflec spectrum
self.OReflect={}
self.OReflect['wavelength']=[]
self.OReflect['reflec']=[]
#Cycle all the FBG sensors
for i in np.arange(0,self.NumberFBG):
# Wavelength cycle (Here the simulation resolution is used)
for l in np.arange(self.MinBandWidth,self.MaxBandWidth,self.SimulationResolution):
f1 = np.matrix('1 0; 0 1') #empty transfer matrix
M=20.0 #Sections the gratting is divided-- Transfer Matrix
#FBG increment size (nm)
deltz=(self.FBGLength*(10.0**6))/M
for z in np.arange(0,M):
#Sigma Function
sig=2.0*math.pi*self.InitialRefractiveIndex*((1.0/l)-(1.0/(2.0*self.InitialRefractiveIndex*self.APFBG[i])))+(2*math.pi*self.MeanChangeRefractiveIndex/l)
#Kaa Function
kaa=math.pi*self.FringeVisibility*self.MeanChangeRefractiveIndex/l
#Gamma Function
gammab=cmath.sqrt(kaa**2.0-sig**2.0)
#Transfer Matrix Calculation
f11=complex(cmath.cosh(gammab*deltz),-(sig/gammab)*cmath.sinh(gammab*deltz))
f22=complex(cmath.cosh(gammab*deltz),(sig/gammab)*cmath.sinh(gammab*deltz))
f12=complex(0,-(kaa/gammab)*cmath.sinh(gammab*deltz))
f21=complex(0,+(kaa/gammab)*cmath.sinh(gammab*deltz))
#Assemble Transfer Matrix
f1=np.dot(f1,np.matrix([[f11, f12],[ f21, f22]]))
PO=f1[0,0]
NO=f1[1,0]
REF=abs(NO/PO)**2
self.OReflect['wavelength'].append(l)
self.OReflect['reflec'].append(REF)
def A1(theta, u, t):
return (u * u + 1j * u) * cmath.sinh(d(theta, u) * t / 2)
def NonUniformStrain(self,FBGOriginalWavel,PhotoElasticParam,InitialRefractiveIndex,MeanChangeRefractiveIndex,FringeVisibility,MinBandWidth,MaxBandWidth,SimulationResolution,FBGDirection):
"""
Function to Simulate the FGB Spectrum Considering Non-Uniform Strain
effects
Input:
FBGOriginalWavel: List(Mandatory)
List with the FBG array original wavelength
PhotoElasticParam: float (Mandatory)
Photo-Elastic parameter
InitialRefractiveIndex: float (Mandatory)
Initial effective refractive index (neff)
MeanChangeRefractiveIndex: float (Mandatory)
Mean induced change in the refractive index (dneff)
FringeVisibility: float (Mandatory)
Fringe Visibility (Fv)
MinBandWidth: float (Mandatory)
Light Min. Bandwidth
MaxBandWidth: float (Mandatory)
SimulationResolution: float (Mandatory)
Simulation resolution- Wavelength increment
FBGDirection: int (mandatory)
0-xx 1-yy 2-zz
"""
self.FBGOriginalWavel=FBGOriginalWavel
self.PhotoElasticParam=PhotoElasticParam
self.InitialRefractiveIndex=InitialRefractiveIndex
self.MeanChangeRefractiveIndex=MeanChangeRefractiveIndex
self.FringeVisibility=FringeVisibility
self.MinBandWidth=MinBandWidth
self.MaxBandWidth=MaxBandWidth
self.SimulationResolution=SimulationResolution
self.FBGDirection=FBGDirection
#Array with the original FBG period
self.APFBG=[]
for i in np.arange(0,self.NumberFBG):
self.APFBG.append(self.FBGOriginalWavel[i]/(2.0*self.InitialRefractiveIndex))
#Empty Reflec spectrum -Uniform Strain
self.NUSReflect={}
self.NUSReflect['wavelength']=[]
self.NUSReflect['reflec']=[]
#Cycle all the FBG sensors
for i in np.arange(0,self.NumberFBG):
#Sections the gratting is divided-- Transfer Matrix
M=len(self.FBGArray['FBG'+str(i+1)]['x'])
#FBG increment size (nm)
deltz=(self.FBGLength*(10.0**6))/M
#----Built the grating period chenged by the Non-uniform strain---
FBGperiod=[]
for j in np.arange(0,M):
if self.FBGDirection==0: #FBG longitudinal direction (xx)
FBGperiod.append(self.APFBG[i]*(1+(1-self.PhotoElasticParam)*self.FBGArray['FBG'+str(i+1)]['LE11'][j]))
if self.FBGDirection==1: #FBG longitudinal direction (yy)
FBGperiod.append(self.APFBG[i]*(1+(1-self.PhotoElasticParam)*self.FBGArray['FBG'+str(i+1)]['LE22'][j]))
if self.FBGDirection==2: #FBG longitudinal direction (zz)
FBGperiod.append(self.APFBG[i]*(1+(1-self.PhotoElasticParam)*self.FBGArray['FBG'+str(i+1)]['LE33'][j]))
# Wavelength cycle (Here the simulation resolution is used)
for l in np.arange(self.MinBandWidth,self.MaxBandWidth,self.SimulationResolution):
f1 = np.matrix('1 0; 0 1') #empty transfer matrix
#Cycle-Each FBG increment
for z in np.arange(0,M):
#Sigma Function
sig=2.0*math.pi*self.InitialRefractiveIndex*((1.0/l)-(1.0/(2.0*self.InitialRefractiveIndex*FBGperiod[z])))+(2*math.pi*self.MeanChangeRefractiveIndex/l)
#Kaa Function
kaa=math.pi*self.FringeVisibility*self.MeanChangeRefractiveIndex/l
#Gamma Function
gammab=cmath.sqrt(kaa**2.0-sig**2.0)
#Transfer Matrix Calculation
f11=complex(cmath.cosh(gammab*deltz),-(sig/gammab)*cmath.sinh(gammab*deltz))
f22=complex(cmath.cosh(gammab*deltz),(sig/gammab)*cmath.sinh(gammab*deltz))
f12=complex(0,-(kaa/gammab)*cmath.sinh(gammab*deltz))
f21=complex(0,+(kaa/gammab)*cmath.sinh(gammab*deltz))
#Assemble Transfer Matrix
f1=np.dot(f1,np.matrix([[f11, f12],[ f21, f22]]))
#Add to the Reflection file
PO=f1[0,0]
NO=f1[1,0]
REF=abs(NO/PO)**2
self.NUSReflect['wavelength'].append(l)
self.NUSReflect['reflec'].append(REF)
def TransverseStrain(self,FBGOriginalWavel,PhotoElasticParam,InitialRefractiveIndex,MeanChangeRefractiveIndex,FringeVisibility,MinBandWidth,MaxBandWidth,SimulationResolution,FBGDirection,DirectionalRefractiveP11,DirectionalRefractiveP12,YoungsModule,PoissionsCoefficient):
"""
Function to Simulate the FGB Spectrum Considering Uniform longitudinal strain
and transverse Stress
Input:
FBGOriginalWavel: List(Mandatory)
List with the FBG array original wavelength
PhotoElasticParam: float (Mandatory)
Photo-Elastic parameter
InitialRefractiveIndex: float (Mandatory)
Initial effective refractive index (neff)
MeanChangeRefractiveIndex: float (Mandatory)
Mean induced change in the refractive index (dneff)
FringeVisibility: float (Mandatory)
Fringe Visibility (Fv)
MinBandWidth: float (Mandatory)
Light Min. Bandwidth
MaxBandWidth: float (Mandatory)
SimulationResolution: float (Mandatory)
Simulation resolution- Wavelength increment
FBGDirection: int (mandatory)
0-xx 1-yy 2-zz
DirectionalRefractiveP11: float (Mandatory)
Directional Photo-elastic coeffic
DirectionalRefractiveP12: float (Mandatory)
Directional Photo-elastic coefficient
YoungsModule: float (Mandatory)
Optical Fibre Young's Module
PoissionsCoefficient: float (Mandatory)
Optical Fibre Poisson Ration
"""
self.FBGOriginalWavel=FBGOriginalWavel
self.PhotoElasticParam=PhotoElasticParam
self.InitialRefractiveIndex=InitialRefractiveIndex
self.MeanChangeRefractiveIndex=MeanChangeRefractiveIndex
self.FringeVisibility=FringeVisibility
self.MinBandWidth=MinBandWidth
self.MaxBandWidth=MaxBandWidth
self.SimulationResolution=SimulationResolution
self.FBGDirection=FBGDirection
self.DirectionalRefractiveP11=DirectionalRefractiveP11
self.DirectionalRefractiveP12=DirectionalRefractiveP12
self.YoungsModule=YoungsModule/10**6 #Change to MPA
self.PoissionsCoefficient=PoissionsCoefficient
#Array with the FBG period- Longitudinal Strain
self.APFBG=[]
for i in np.arange(0,self.NumberFBG):
if self.FBGDirection==0: #FBG longitudinal direction (xx)
TempMeanFBG=np.mean(self.FBGArray['FBG'+str(i+1)]['LE11'] )#Strain average
TempnewWavelength=self.FBGOriginalWavel[i]*(1+(1-self.PhotoElasticParam)*TempMeanFBG) #weavelength at uniform strain
self.APFBG.append(TempnewWavelength/(2.0*self.InitialRefractiveIndex)) # Grating period at strain state
if self.FBGDirection==1: #FBG longitudinal direction (yy)
TempMeanFBG=np.mean(self.FBGArray['FBG'+str(i+1)]['LE22'] )#Strain average
TempnewWavelength=self.FBGOriginalWavel[i]*(1+(1-self.PhotoElasticParam)*TempMeanFBG) #weavelength at uniform strain
self.APFBG.append(TempnewWavelength/(2.0*self.InitialRefractiveIndex)) # Grating period at strain state
if self.FBGDirection==2: #FBG longitudinal direction (zz)
TempMeanFBG=np.mean(self.FBGArray['FBG'+str(i+1)]['LE33'] )#Strain average
TempnewWavelength=self.FBGOriginalWavel[i]*(1+(1-self.PhotoElasticParam)*TempMeanFBG) #weavelength at uniform strain
self.APFBG.append(TempnewWavelength/(2.0*self.InitialRefractiveIndex)) # Grating period at strain state
#Empty Reflec spectrum- Two waves
self.TSYReflect={}#Y wave
self.TSYReflect['wavelength']=[]
self.TSYReflect['reflec']=[]
self.TSZReflect={}#Z wave
self.TSZReflect['wavelength']=[]
self.TSZReflect['reflec']=[]
#Cycle all the FBG sensors
for i in np.arange(0,self.NumberFBG):
#Sections the gratting is divided-- Transfer Matrix
M=len(self.FBGArray['FBG'+str(i+1)]['x'])
#FBG increment size (nm)
deltz=(self.FBGLength*(10.0**6))/M
#Build a List with the change in the refractive index DeltaNEffY
self.Dneffy=[]
self.Dneffz=[]
for j in np.arange(0,M):
if self.FBGDirection==0: #FBG longitudinal direction (xx)
DirecX='S11'
DirecY='S22'
DirecZ='S33'
self.Dneffy.append(-(self.InitialRefractiveIndex**3.0)/(2*self.YoungsModule)
*((self.DirectionalRefractiveP11-2*self.PoissionsCoefficient*self.DirectionalRefractiveP12)*self.FBGArray['FBG'+str(i+1)][DirecY][j]
+((1-self.PoissionsCoefficient)*self.DirectionalRefractiveP12-self.PoissionsCoefficient*self.DirectionalRefractiveP11)
*(self.FBGArray['FBG'+str(i+1)][DirecZ][j]+self.FBGArray['FBG'+str(i+1)][DirecX][j])))
self.Dneffz.append(-(self.InitialRefractiveIndex**3.0)/(2*self.YoungsModule)
*((self.DirectionalRefractiveP11-2*self.PoissionsCoefficient*self.DirectionalRefractiveP12)*self.FBGArray['FBG'+str(i+1)][DirecZ][j]
+((1-self.PoissionsCoefficient)*self.DirectionalRefractiveP12-self.PoissionsCoefficient*self.DirectionalRefractiveP11)
*(self.FBGArray['FBG'+str(i+1)][DirecY][j]+self.FBGArray['FBG'+str(i+1)][DirecX][j])))
if self.FBGDirection==1: #FBG longitudinal direction (yy)
DirecX='S22'
DirecY='S11' #need to be negative
DirecZ='S33'
self.Dneffy.append(-(self.InitialRefractiveIndex**3.0)/(2*self.YoungsModule)
*((self.DirectionalRefractiveP11-2*self.PoissionsCoefficient*self.DirectionalRefractiveP12)*(-self.FBGArray['FBG'+str(i+1)][DirecY][j])
+((1-self.PoissionsCoefficient)*self.DirectionalRefractiveP12-self.PoissionsCoefficient*self.DirectionalRefractiveP11)
*(self.FBGArray['FBG'+str(i+1)][DirecZ][j]+self.FBGArray['FBG'+str(i+1)][DirecX][j])))
self.Dneffz.append(-(self.InitialRefractiveIndex**3.0)/(2*self.YoungsModule)
*((self.DirectionalRefractiveP11-2*self.PoissionsCoefficient*self.DirectionalRefractiveP12)*self.FBGArray['FBG'+str(i+1)][DirecZ][j]
+((1-self.PoissionsCoefficient)*self.DirectionalRefractiveP12-self.PoissionsCoefficient*self.DirectionalRefractiveP11)
*(-self.FBGArray['FBG'+str(i+1)][DirecY][j]+self.FBGArray['FBG'+str(i+1)][DirecX][j])))
if self.FBGDirection==2: #FBG longitudinal direction (zz)
DirecX='S33'
DirecY='S22'
DirecZ='S11'#Negative
self.Dneffy.append(-(self.InitialRefractiveIndex**3.0)/(2*self.YoungsModule)
*((self.DirectionalRefractiveP11-2*self.PoissionsCoefficient*self.DirectionalRefractiveP12)*self.FBGArray['FBG'+str(i+1)][DirecY][j]
+((1-self.PoissionsCoefficient)*self.DirectionalRefractiveP12-self.PoissionsCoefficient*self.DirectionalRefractiveP11)
*(-self.FBGArray['FBG'+str(i+1)][DirecZ][j]+self.FBGArray['FBG'+str(i+1)][DirecX][j])))
self.Dneffz.append(-(self.InitialRefractiveIndex**3.0)/(2*self.YoungsModule)
*((self.DirectionalRefractiveP11-2*self.PoissionsCoefficient*self.DirectionalRefractiveP12)*(-self.FBGArray['FBG'+str(i+1)][DirecZ][j])
+((1-self.PoissionsCoefficient)*self.DirectionalRefractiveP12-self.PoissionsCoefficient*self.DirectionalRefractiveP11)
*(self.FBGArray['FBG'+str(i+1)][DirecY][j]+self.FBGArray['FBG'+str(i+1)][DirecX][j])))
# Wavelength cycle (Here the simulation resolution is used)
#YWave
for l in np.arange(self.MinBandWidth,self.MaxBandWidth,self.SimulationResolution):
f1 = np.matrix('1 0; 0 1') #empty transfer matrix
#Cycle-Each FBG increment
for z in np.arange(0,M):
#Sigma Function
sig=2.0*math.pi*(self.InitialRefractiveIndex+self.Dneffy[z])*((1.0/l)-(1.0/(2.0*(self.InitialRefractiveIndex+self.Dneffy[z])*self.APFBG[i])))+(2*math.pi*self.MeanChangeRefractiveIndex/l)
#Kaa Function
kaa=math.pi*self.FringeVisibility*self.MeanChangeRefractiveIndex/l
#Gamma Function
gammab=cmath.sqrt(kaa**2.0-sig**2.0)
#Transfer Matrix Calculation
f11=complex(cmath.cosh(gammab*deltz),-(sig/gammab)*cmath.sinh(gammab*deltz))
f22=complex(cmath.cosh(gammab*deltz),(sig/gammab)*cmath.sinh(gammab*deltz))
f12=complex(0,-(kaa/gammab)*cmath.sinh(gammab*deltz))
f21=complex(0,+(kaa/gammab)*cmath.sinh(gammab*deltz))
#Assemble Transfer Matrix
f1=np.dot(f1,np.matrix([[f11, f12],[ f21, f22]]))
#Add to the Reflection file- YWave
PO=f1[0,0]
NO=f1[1,0]
REF=abs(NO/PO)**2
self.TSYReflect['wavelength'].append(l) #Output File
self.TSYReflect['reflec'].append(REF) #Output File
#ZWave
for l in np.arange(self.MinBandWidth,self.MaxBandWidth,self.SimulationResolution):
f1 = np.matrix('1 0; 0 1') #empty transfer matrix
#Cycle-Each FBG increment
for z in np.arange(0,M):
#Sigma Function
sig=2.0*math.pi*(self.InitialRefractiveIndex+self.Dneffz[z])*((1.0/l)-(1.0/(2.0*(self.InitialRefractiveIndex+self.Dneffz[z])*self.APFBG[i])))+(2*math.pi*self.MeanChangeRefractiveIndex/l)
#Kaa Function
kaa=math.pi*self.FringeVisibility*self.MeanChangeRefractiveIndex/l
#Gamma Function
gammab=cmath.sqrt(kaa**2.0-sig**2.0)
#Transfer Matrix Calculation
f11=complex(cmath.cosh(gammab*deltz),-(sig/gammab)*cmath.sinh(gammab*deltz))
f22=complex(cmath.cosh(gammab*deltz),(sig/gammab)*cmath.sinh(gammab*deltz))
f12=complex(0,-(kaa/gammab)*cmath.sinh(gammab*deltz))
f21=complex(0,+(kaa/gammab)*cmath.sinh(gammab*deltz))
#Assemble Transfer Matrix
f1=np.dot(f1,np.matrix([[f11, f12],[ f21, f22]]))
#Add to the Reflection file- YWave
PO=f1[0,0]
NO=f1[1,0]
REF=abs(NO/PO)**2
self.TSZReflect['wavelength'].append(l) #Output File
self.TSZReflect['reflec'].append(REF) #Output File
complex_functions = {'sin': lambda x: cmath.sin(x),
'cos': lambda x: cmath.cos(x),
'tan': lambda x: cmath.tan(x),
'csc': lambda x: 1/cmath.sin(x),
'sec': lambda x: 1/cmath.cos(x),
'cot': lambda x: 1/cmath.tan(x),
'ln': lambda x: cmath.log(x),
'log': lambda x: cmath.log(x)/cmath.log(10),
'fact': lambda x: factorial(int(x)),
'asin': lambda x: cmath.asin(x),
'acos': lambda x: cmath.acos(x),
'atan': lambda x: cmath.atan(x),
'acsc': lambda x: cmath.asin(1/x),
'asec': lambda x: cmath.acos(1/x),
'acot': lambda x: cmath.atan(1/x),
'sinh': lambda x: cmath.sinh(x),
'cosh': lambda x: cmath.cosh(x),
'tanh': lambda x: cmath.tanh(x),
'csch': lambda x: 1/cmath.sinh(x),
'sech': lambda x: 1/cmath.cosh(x),
'coth': lambda x: 1/cmath.tanh(x),
'asinh': lambda x: cmath.asinh(x),
'acosh': lambda x: cmath.acosh(x),
'atanh': lambda x: cmath.atanh(x),
'acsch': lambda x: cmath.asinh(1/x),
'asech': lambda x: cmath.acosh(1/x),
'acoth': lambda x: cmath.atanh(1/x)
}
def replace_variables(phrase, replacement, var = 'x'):
"""Replaces all instances of a named variable in a phrase with a
def SINH(df, price='Close'):
"""
Hyperbolic Sine
Returns: list of floats = jhta.SINH(df, price='Close')
"""
return [cmath.sinh(df[price][i]).real for i in range(len(df[price]))]
def p_expression_csch(t):
'expression : CSCH expression'
t[0] = 1/cmath.sinh(t[2])
def test_sinh(self):
self.assertAlmostEqual(complex(-6.54812, -7.61923),
cmath.sinh(complex(3, 4)))
