def correct_TR(struct, incidence="top"):
if not struct._TR_calculated:
struct.calculate_TR()
# Commented out because right now wl_A and struct.wl
# have the same range and step
## T0 = calc.interpolate(struct.wl, struct.T, wl_A)
## R0 = calc.interpolate(struct.wl, struct.R, wl_A)
T0 = struct.T
R0 = struct.R
_layers_list = struct._layers_list[:]
_layers_list.reverse()
struct_rev = ML(_layers_list, unit=struct.unit,
label=struct.label+"_rev", min_wl=struct._min_wl,
max_wl = struct._max_wl, wl_step=struct._wl_step,
n0=struct.ns, ns=struct.n0)
struct_rev.calculate_TR()
## Tr0 = calc.interpolate(struct_rev.wl, struct_rev.T, wl_A)
## Rr0 = calc.interpolate(struct_rev.wl, struct_rev.R, wl_A)
Tr0 = struct_rev.T
Rr0 = struct_rev.R
if incidence == "top":
T = (1 - A) * Tg * T0 / (1 - (1 - A)**2 * Rg * Rr0)
R = R0 + (1 - A)**2 * Rg * T0 * Tr0 / (1 - (1 - A)**2 * Rg * Rr0)
elif incidence == "bot":
T = (1 - A) * Tg * Tr0 / (1 - (1 - A)**2 * Rg * Rr0)
R = Rg + (1 - A)**2 * Rr0 * Tg * Tg / (1 - (1 - A)**2 * Rg * Rr0)
return T, R
def recalculate_priority(arg):
'''
This function returns a tuple containing a list of layers with calculated priority.
The structure is given as an argument
'''
first = Ag(arg[1])
second = DLC80WA(arg[2])
third = Ag(arg[3])
fourth = DLC80WA(arg[4])
mystruct = ML([first, second, third, fourth], min_wl=230, max_wl=2476)
ML.calculate_TR(mystruct)
#### Uncomment for 6-layer structure
## fifth = Ag(arg[5])
## sixth = DLC80WA(arg[6])
##
## mystruct = ML([first, second, third, fourth,
## fifth, sixth, AlN(20)],
## min_wl=230, max_wl=2476)
## ML.calculate_TR(mystruct)
# Doing unchecked attribute mutation here...future person beware. This
# only applies because of comment above in correct_TR
mystruct.T, mystruct.R = correct_TR(mystruct)
index_lower = 0
index_middle = 0
upper_middle = 0
index_upper = 0
if mystruct.wl[len(mystruct.wl) - 1] < 3000:
index_upper = len(mystruct.wl) - 1
for index, i in enumerate(mystruct.wl):
if index_lower == 0 and i >= myConst.lower_limit:
index_lower = index
elif index_middle == 0 and i >= myConst.upper_limit:
index_middle = index
elif myConst.upper_limit != 700 and upper_middle == 0:
if i >= 700:
upper_middle = index
elif index_upper == 0 and i >= 3000:
index_upper = index
break
if myConst.upper_limit == 700:
upper_middle = index_middle
T_array = np.interp(mystruct.wl[index_lower:index_middle], P_data[:, 0],
P_data[:, 1])
R_array = np.interp(mystruct.wl[upper_middle:index_upper], S_data[:, 0],
S_data[:, 3])
Transmittance = sum(
mystruct.T[index_lower:index_middle] * T_array) / (sum(T_array))
Reflectance = sum(
mystruct.R[upper_middle:index_upper] * R_array) / (sum(R_array))
priority = myConst.R_factor * Reflectance + myConst.T_factor * Transmittance
return (priority, arg[1], arg[2], arg[3], arg[4])
def plot_structure(arg):
'''
Basically, this function plots the graph of reflectance and transmittance of a
given three layer structure versus wavelength. The argument is given as a tuple or a list of 3 elements.
In addition, it provides the values of reflectance, transmittance, R_color and T_color.
'''
first = DLC80WA(arg[0])
second = Ag(arg[1])
third = DLC80WA(arg[2])
fourth = Ag(arg[3])
fifth = DLC80WA(arg[4])
sixth = Ag(arg[5])
seventh = DLC80WA(arg[6])
mystruct = ML([first, second, third, fourth, fifth, sixth, seventh])
print mystruct
mystruct.calculate_color()
TR(mystruct)
index_lower = 0
index_middle = 0
upper_middle = 0
index_upper = 0
if mystruct.wl[len(mystruct.wl) - 1] < 3000:
index_upper = len(mystruct.wl) - 1
for index, i in enumerate(mystruct.wl):
if index_lower == 0 and i >= myConst.lower_limit:
index_lower = index
elif index_middle == 0 and i >= myConst.upper_limit:
index_middle = index
elif myConst.upper_limit != 700 and upper_middle == 0:
if i >= 700:
upper_middle = index
elif index_upper == 0 and i >= 3000:
index_upper = index
break
if myConst.upper_limit == 700:
upper_middle = index_middle
T_array = np.interp(mystruct.wl[index_lower:index_middle], P_data[:, 0],
P_data[:, 1])
R_array = np.interp(mystruct.wl[upper_middle:index_upper], S_data[:, 0],
S_data[:, 3])
Transmittance = sum(
mystruct.T[index_lower:index_middle] * T_array) / (sum(T_array))
Reflectance = sum(
mystruct.R[upper_middle:index_upper] * R_array) / (sum(R_array))
priority_value = myConst.R_factor * Reflectance + myConst.T_factor * Transmittance
print 'Reflectance=%s' % float("{0:.4f}".format(Reflectance))
print 'Transmittance =%s' % float("{0:.4f}".format(Transmittance))
print 'T color:', mystruct.T_color
print 'R color:', mystruct.R_color
show()
def plot_structure(arg):
'''
Basically, this function plots the graph of reflectance and transmittance of a
given three layer structure versus wavelength. The argument is given as a tuple or a list of 3 elements.
In addition, it provides the values of reflectance, transmittance, R_color and T_color.
'''
first = Ag(arg[0])
second = DLC80WA(arg[1])
mystruct = ML([first, second])
print mystruct
mystruct.calculate_color()
TR(mystruct, min_wl=200, max_wl=2500, legend=False, show_solar=True)
plot.plt.grid("on")
plot.plt.plot([400,400], [0,1], "k--")
plot.plt.plot([700,700], [0,1], "k--")
plot.plt.text(440, 0.70, "visible", fontsize=16)
index_lower=0
index_middle=0
upper_middle=0
index_upper=0
if mystruct.wl[len(mystruct.wl)-1]<3000:
index_upper=len(mystruct.wl)-1
for index, i in enumerate(mystruct.wl):
if index_lower ==0 and i>=myConst.lower_limit:
index_lower = index
elif index_middle==0 and i>=myConst.upper_limit:
index_middle=index
elif myConst.upper_limit!= 700 and upper_middle==0:
if i>=700:
upper_middle=index
elif index_upper==0 and i>=3000:
index_upper=index
break
if myConst.upper_limit==700:
upper_middle=index_middle
T_array = np.interp(mystruct.wl[index_lower:index_middle],P_data[:, 0] , P_data[:, 1])
R_array= np.interp(mystruct.wl[upper_middle:index_upper],S_data[:, 0] , S_data[:, 3])
Transmittance = sum(mystruct.T[index_lower:index_middle]*T_array)/(sum(T_array))
Reflectance = sum(mystruct.R[upper_middle:index_upper]*R_array)/(sum(R_array))
priority_value = myConst.R_factor*Reflectance + myConst.T_factor*Transmittance
print 'Reflectance=%s' % float("{0:.4f}".format(Reflectance))
print 'Transmittance =%s' % float("{0:.4f}".format(Transmittance))
print 'T color:', mystruct.T_color
print 'R color:', mystruct.R_color
show()
def create_structure():
'''
This function creates a structure composed of randomly generated thicknesses.
It returns a tuple with a list of layer thicknesses and priority value.
'''
L1_thickness = random.uniform(20.0, myConst.max_DLC_thickness)
L1_thickness = float("{0:.1f}".format(L1_thickness))
layer_one = DLC80WA(L1_thickness)
L2_thickness = random.uniform(3.0, 20.0)
L2_thickness = float("{0:.1f}".format(L2_thickness))
layer_two = Ag(L2_thickness)
L3_thickness = random.uniform(20.0, myConst.max_DLC_thickness)
L3_thickness = float("{0:.1f}".format(L3_thickness))
layer_three = DLC80WA(L3_thickness)
mystruct = ML([layer_one, layer_two, layer_three])
ML.calculate_TR(mystruct)
index_lower = 0
index_middle = 0
upper_middle = 0
index_upper = 0
if mystruct.wl[len(mystruct.wl) - 1] < 3000:
index_upper = len(mystruct.wl) - 1
for index, i in enumerate(mystruct.wl):
if index_lower == 0 and i >= myConst.lower_limit:
index_lower = index
elif index_middle == 0 and i >= myConst.upper_limit:
index_middle = index
elif myConst.upper_limit != 700 and upper_middle == 0:
if i >= 700:
upper_middle = index
elif index_upper == 0 and i >= 3000:
index_upper = index
break
if myConst.upper_limit == 700:
upper_middle = index_middle
T_array = np.interp(mystruct.wl[index_lower:index_middle], P_data[:, 0],
P_data[:, 1])
R_array = np.interp(mystruct.wl[upper_middle:index_upper], S_data[:, 0],
S_data[:, 3])
Transmittance = sum(
mystruct.T[index_lower:index_middle] * T_array) / (sum(T_array))
Reflectance = sum(
mystruct.R[upper_middle:index_upper] * R_array) / (sum(R_array))
priority = myConst.R_factor * Reflectance + myConst.T_factor * Transmittance
return (priority, L1_thickness, L2_thickness, L3_thickness)
def recalculate_priority(arg):
'''
This function returns a tuple containing a list of layers with calculated priority.
The structure is given as an argument
'''
first=Ag(arg[1])
second =DLC80WA (arg[2])
third=Ag(arg[3])
fourth=DLC80WA(arg[4])
mystruct = ML([first, second, third, fourth],
min_wl=230, max_wl=2476)
ML.calculate_TR(mystruct)
# Doing unchecked attribute mutation here...future person beware. This
# only applies because of comment above in correct_TR
mystruct.T, mystruct.R = correct_TR(mystruct)
index_lower=0
index_middle=0
upper_middle=0
index_upper=0
if mystruct.wl[len(mystruct.wl)-1]<3000:
index_upper=len(mystruct.wl)-1
for index, i in enumerate(mystruct.wl):
if index_lower ==0 and i>=myConst.lower_limit:
index_lower = index
elif index_middle==0 and i>=myConst.upper_limit:
index_middle=index
elif myConst.upper_limit!= 700 and upper_middle==0:
if i>=700:
upper_middle=index
elif index_upper==0 and i>=3000:
index_upper=index
break
if myConst.upper_limit==700:
upper_middle=index_middle
T_array = np.interp(mystruct.wl[index_lower:index_middle],P_data[:, 0] , P_data[:, 1])
sol_array= np.interp(mystruct.wl[index_lower:index_upper],S_data[:, 0] , S_data[:, 3])
Tvis = sum(mystruct.T[index_lower:index_middle]*T_array)/(sum(T_array))
TSER = 1 - sum(mystruct.T[index_lower:index_upper]*sol_array)/(sum(sol_array)) - 0.04
priority = -1 / (Tvis - myConst.p1) - \
abs(myConst.p2 * (TSER - myConst.wanted_TSER))
return (priority, arg[1], arg[2], arg[3], arg[4], Tvis, TSER)
def recalculate_priority(arg):
'''
This function returns a tuple containing a list of layers with calculated priority.
The structure is given as an argument
'''
first = DLC80WA(arg[1])
second = Ag(arg[2])
third = DLC80WA(arg[3])
fourth = Ag(arg[4])
fifth = DLC80WA(arg[5])
sixth = Ag(arg[6])
seventh = DLC80WA(arg[7])
mystruct = ML([first, second, third, fourth, fifth, sixth, seventh])
ML.calculate_TR(mystruct)
index_lower = 0
index_middle = 0
upper_middle = 0
index_upper = 0
if mystruct.wl[len(mystruct.wl) - 1] < 3000:
index_upper = len(mystruct.wl) - 1
for index, i in enumerate(mystruct.wl):
if index_lower == 0 and i >= myConst.lower_limit:
index_lower = index
elif index_middle == 0 and i >= myConst.upper_limit:
index_middle = index
elif myConst.upper_limit != 700 and upper_middle == 0:
if i >= 700:
upper_middle = index
elif index_upper == 0 and i >= 3000:
index_upper = index
break
if myConst.upper_limit == 700:
upper_middle = index_middle
T_array = np.interp(mystruct.wl[index_lower:index_middle], P_data[:, 0],
P_data[:, 1])
R_array = np.interp(mystruct.wl[upper_middle:index_upper], S_data[:, 0],
S_data[:, 3])
Transmittance = sum(
mystruct.T[index_lower:index_middle] * T_array) / (sum(T_array))
Reflectance = sum(
mystruct.R[upper_middle:index_upper] * R_array) / (sum(R_array))
priority = myConst.R_factor * Reflectance + myConst.T_factor * Transmittance
return (priority, arg[1], arg[2], arg[3], arg[4], arg[5], arg[6], arg[7])
def create_structure():
'''
This function creates a structure composed of randomly generated thicknesses.
It returns a tuple with a list of layer thicknesses and priority value.
'''
L1_thickness=random.uniform(15., 30.) # 3 to 20 used to be
L1_thickness=float("{0:.1f}".format(L1_thickness))
layer_one=Ag(L1_thickness)
L2_thickness=random.uniform(20.0, myConst.max_DLC_thickness)
L2_thickness=float("{0:.1f}".format(L2_thickness))
layer_two=DLC80WA(L2_thickness)
L3_thickness=random.uniform(15., 30.) # 3 to 20 used to be
L3_thickness=float("{0:.1f}".format(L3_thickness))
layer_three=Ag(L3_thickness)
L4_thickness=random.uniform(20.0, myConst.max_DLC_thickness)
L4_thickness=float("{0:.1f}".format(L4_thickness))
layer_four=DLC80WA(L4_thickness)
mystruct = ML([layer_one, layer_two, layer_three, layer_four],
min_wl=230, max_wl=2476)
ML.calculate_TR(mystruct)
# Doing unchecked attribute mutation here...future person beware. This
# only applies because of comment above in correct_TR
mystruct.T, mystruct.R = correct_TR(mystruct)
index_lower=0
index_middle=0
upper_middle=0
index_upper=0
if mystruct.wl[len(mystruct.wl)-1]<3000:
index_upper=len(mystruct.wl)-1
for index, i in enumerate(mystruct.wl):
if index_lower ==0 and i>=myConst.lower_limit:
index_lower = index
elif index_middle==0 and i>=myConst.upper_limit:
index_middle=index
elif myConst.upper_limit!= 700 and upper_middle==0:
if i>=700:
upper_middle=index
elif index_upper==0 and i>=3000:
index_upper=index
break
if myConst.upper_limit==700:
upper_middle=index_middle
T_array = np.interp(mystruct.wl[index_lower:index_middle],P_data[:, 0] , P_data[:, 1])
sol_array= np.interp(mystruct.wl[index_lower:index_upper],S_data[:, 0] , S_data[:, 3])
Tvis = sum(mystruct.T[index_lower:index_middle]*T_array)/(sum(T_array))
TSER = 1 - sum(mystruct.T[index_lower:index_upper]*sol_array)/(sum(sol_array)) - 0.04
priority = -1 / (Tvis - myConst.p1) - \
abs(myConst.p2 * (TSER - myConst.wanted_TSER))
return (priority, L1_thickness, L2_thickness, L3_thickness, L4_thickness,
Tvis, TSER)
def plot_structure(arg, text_only=False):
'''
Basically, this function plots the graph of reflectance and transmittance of a
given three layer structure versus wavelength. The argument is given as a tuple or a list of 3 elements.
In addition, it provides the values of reflectance, transmittance, R_color and T_color.
'''
first = Ag(arg[1])
second = DLC80WA(arg[2])
third = Ag(arg[3])
fourth = DLC80WA(arg[4])
mystruct = ML([first, second, third, fourth],
min_wl=230, max_wl=2476)
#### Uncomment for 6-layer structure
## fifth = Ag(arg[4])
## sixth = DLC80WA(arg[5])
##
## mystruct = ML([first, second, third, fourth,
## fifth, sixth, AlN(20)],
## min_wl=230, max_wl=2476)
print mystruct
## mystruct.calculate_color()
# Doing unchecked attribute mutation here...future person beware. This
# only applies because of comment above in correct_TR
mystruct.T, mystruct.R = correct_TR(mystruct)
index_lower=0
index_middle=0
upper_middle=0
index_upper=0
if mystruct.wl[len(mystruct.wl)-1]<3000:
index_upper=len(mystruct.wl)-1
for index, i in enumerate(mystruct.wl):
if index_lower ==0 and i>=myConst.lower_limit:
index_lower = index
elif index_middle==0 and i>=myConst.upper_limit:
index_middle=index
elif myConst.upper_limit!= 700 and upper_middle==0:
if i>=700:
upper_middle=index
elif index_upper==0 and i>=3000:
index_upper=index
break
if myConst.upper_limit==700:
upper_middle=index_middle
T_array = np.interp(mystruct.wl[index_lower:index_middle],P_data[:, 0] , P_data[:, 1])
sol_array= np.interp(mystruct.wl[index_lower:index_upper],S_data[:, 0] , S_data[:, 3])
Tvis = sum(mystruct.T[index_lower:index_middle]*T_array)/(sum(T_array))
TSER = 1 - sum(mystruct.T[index_lower:index_upper]*sol_array)/(sum(sol_array)) - 0.04
priority = -1 / (Tvis - myConst.p1) - \
abs(myConst.p2 * (TSER - myConst.wanted_TSER))
print 'TSER = %s' % float("{0:.4f}".format(TSER))
print 'Tvis = %s' % float("{0:.4f}".format(Tvis))
## print 'T_color:', mystruct.T_color
## print 'R_color:', mystruct.R_color
if not text_only:
TR(mystruct, show_solar=True, max_wl=2500, min_wl=200, legend=False)
plot.plt.grid("on")
plot.plt.plot([400,400], [0,1], "k--")
plot.plt.plot([700,700], [0,1], "k--")
plot.plt.text(425, 0.70, "visible", fontsize=16)
show()
return mystruct
def create_structure():
'''
This function creates a structure composed of randomly generated thicknesses.
It returns a tuple with a list of layer thicknesses and priority value.
'''
L1_thickness = random.uniform(20.0, myConst.max_DLC_thickness)
L1_thickness = float("{0:.1f}".format(L1_thickness))
## layer_one=DLC80WA(L1_thickness)
layer_one = Ag(L1_thickness)
L2_thickness = random.uniform(3.0, 20.0)
L2_thickness = float("{0:.1f}".format(L2_thickness))
## layer_two=Ag(L2_thickness)
layer_two = DLC80WA(L2_thickness)
L3_thickness = random.uniform(20.0, myConst.max_DLC_thickness)
L3_thickness = float("{0:.1f}".format(L3_thickness))
## layer_three=DLC80WA(L3_thickness)
layer_three = Ag(L3_thickness)
L4_thickness = random.uniform(3.0, 20.0)
L4_thickness = float("{0:.1f}".format(L4_thickness))
## layer_four=Ag(L4_thickness)
layer_four = DLC80WA(L4_thickness)
L5_thickness = random.uniform(20.0, myConst.max_DLC_thickness)
L5_thickness = float("{0:.1f}".format(L5_thickness))
## layer_five=DLC80WA(L5_thickness)
layer_five = AlN(L5_thickness)
mystruct = ML([layer_one, layer_two, layer_three, layer_four, layer_five],
min_wl=230,
max_wl=2476)
ML.calculate_TR(mystruct)
# Doing unchecked attribute mutation here...future person beware. This
# only applies because of comment above in correct_TR
mystruct.T, mystruct.R = correct_TR(mystruct)
index_lower = 0
index_middle = 0
upper_middle = 0
index_upper = 0
if mystruct.wl[len(mystruct.wl) - 1] < 3000:
index_upper = len(mystruct.wl) - 1
for index, i in enumerate(mystruct.wl):
if index_lower == 0 and i >= myConst.lower_limit:
index_lower = index
elif index_middle == 0 and i >= myConst.upper_limit:
index_middle = index
elif myConst.upper_limit != 700 and upper_middle == 0:
if i >= 700:
upper_middle = index
elif index_upper == 0 and i >= 3000:
index_upper = index
break
if myConst.upper_limit == 700:
upper_middle = index_middle
T_array = np.interp(mystruct.wl[index_lower:index_middle], P_data[:, 0],
P_data[:, 1])
R_array = np.interp(mystruct.wl[upper_middle:index_upper], S_data[:, 0],
S_data[:, 3])
Transmittance = sum(
mystruct.T[index_lower:index_middle] * T_array) / (sum(T_array))
Reflectance = sum(
mystruct.R[upper_middle:index_upper] * R_array) / (sum(R_array))
priority = myConst.R_factor * Reflectance + myConst.T_factor * Transmittance
return (priority, L1_thickness, L2_thickness, L3_thickness, L4_thickness,
L5_thickness)
def plot_structure(arg):
'''
Basically, this function plots the graph of reflectance and transmittance of a
given three layer structure versus wavelength. The argument is given as a tuple or a list of 3 elements.
In addition, it provides the values of reflectance, transmittance, R_color and T_color.
'''
## first = DLC80WA(arg[0])
## second = Ag(arg[1])
## third = DLC80WA(arg[2])
## fourth = Ag(arg[3])
## fifth = DLC80WA(arg[4])
first = Ag(arg[0])
second = DLC80WA(arg[1])
third = Ag(arg[2])
fourth = DLC80WA(arg[3])
fifth = AlN(arg[4])
mystruct = ML([first, second, third, fourth, fifth],
min_wl=230,
max_wl=2476)
print mystruct
mystruct.calculate_color()
# Doing unchecked attribute mutation here...future person beware. This
# only applies because of comment above in correct_TR
mystruct.T, mystruct.R = correct_TR(mystruct)
TR(mystruct, show_solar=True, max_wl=2500)
index_lower = 0
index_middle = 0
upper_middle = 0
index_upper = 0
if mystruct.wl[len(mystruct.wl) - 1] < 3000:
index_upper = len(mystruct.wl) - 1
for index, i in enumerate(mystruct.wl):
if index_lower == 0 and i >= myConst.lower_limit:
index_lower = index
elif index_middle == 0 and i >= myConst.upper_limit:
index_middle = index
elif myConst.upper_limit != 700 and upper_middle == 0:
if i >= 700:
upper_middle = index
elif index_upper == 0 and i >= 3000:
index_upper = index
break
if myConst.upper_limit == 700:
upper_middle = index_middle
T_array = np.interp(mystruct.wl[index_lower:index_middle], P_data[:, 0],
P_data[:, 1])
R_array = np.interp(mystruct.wl[upper_middle:index_upper], S_data[:, 0],
S_data[:, 3])
Transmittance = sum(
mystruct.T[index_lower:index_middle] * T_array) / (sum(T_array))
Reflectance = sum(
mystruct.R[upper_middle:index_upper] * R_array) / (sum(R_array))
priority_value = myConst.R_factor * Reflectance + myConst.T_factor * Transmittance
print 'Reflectance=%s' % float("{0:.4f}".format(Reflectance))
print 'Transmitance =%s' % float("{0:.4f}".format(Transmittance))
print 'T_color:', mystruct.T_color
print 'R_color:', mystruct.R_color
show()
