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Commit b0d6cd9a authored by Lucas Laplanche's avatar Lucas Laplanche
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maj

parent f66be4b1
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calculation.py
View file @ b0d6cd9a
import numpy as np
from scipy.interpolate import splrep, splev
from tqdm import tqdm
import epitaxy as epx
......@@ -30,11 +31,12 @@ def al_doping(bypass_dbr=True):
def reflectivity(vcsel_only=False,
eam_only=True,
bypass_dbr=True,
bypass_dbr=False,
start_wavelength=820e-9,
stop_wavelength=880e-9,
electric_field=0.,
n_points=100,
l_eam_clad = 13e-9,
l_vcsel_clad=32e-9):
wavelength = np.linspace(start_wavelength, stop_wavelength, num=n_points)
r = op.reflectivity(bypass_dbr,
......@@ -42,6 +44,7 @@ def reflectivity(vcsel_only=False,
wavelength,
vcsel_only=vcsel_only,
eam_only=eam_only,
l_eam_clad=l_eam_clad,
l_vcsel_clad=l_vcsel_clad)
plt.plot_reflectivity(wavelength, r)
......@@ -56,7 +59,7 @@ def reflectivity_heatmap(bypass_dbr=True,
v_ga11=850,
v_al5=900,
v_al12=150,
r_file_name='reflectivity_heatmap'):
r_file_name='heatmap_r'):
time, wavelength, r = epx.reflectivity_heatmap(bypass_dbr=bypass_dbr,
start_wavelength=start_wavelength,
stop_wavelength=stop_wavelength,
......@@ -68,15 +71,15 @@ def reflectivity_heatmap(bypass_dbr=True,
v_al5=v_al5,
v_al12=v_al12)
np.savez_compressed(r_file_name, r)
np.savez_compressed('time', time)
np.savez_compressed('wavelength', wavelength)
np.savez_compressed('heatmap_time', time)
np.savez_compressed('heatmap_wavelength', wavelength)
plt.plot_reflectivity_heatmap(time, wavelength, r)
def electromagnetic_amplitude(bypass_dbr=True, electric_field=0., wavelength=850e-9):
sl = st.structure_eam_vcsel(eam_only=True, bypass_dbr=bypass_dbr)
def electromagnetic_amplitude(bypass_dbr=False, electric_field=0., wavelength=850.2e-9):
sl = st.structure_eam_vcsel(eam_only=False, vcsel_only=True, bypass_dbr=bypass_dbr)
sl = op.algaas_super_lattice_refractive_index(sl, electric_field, wavelength)
sl = pt.cut_in_equal_layers_thickness(sl, 1e-9)
em = op.em_amplitude_smm(sl, wavelength)
......@@ -84,6 +87,28 @@ def electromagnetic_amplitude(bypass_dbr=True, electric_field=0., wavelength=850
plt.plot_refra_em(sl)
def vcsel_electromagnetic_resonnance(electric_field=0.,
start_wavelength=820e-9,
stop_wavelength=880e-9,
n_points=300):
wavelength = np.linspace(start_wavelength, stop_wavelength, num=n_points)
max_em_amp = np.zeros(n_points)
for i in tqdm(range(len(wavelength))):
sl = st.structure_eam_vcsel(vcsel_only=True)
sl = op.algaas_super_lattice_refractive_index(sl, electric_field, wavelength[i], lengyel=False)
sl['refractive_index'] = sl['refractive_index'].apply(np.real).astype(float)
sl = pt.cut_in_equal_layers_thickness(sl, 1e-8)
em = op.em_amplitude_smm(sl, wavelength[i], normalize=False)
max_em_amp[i] = np.max(em)
# normalize
max_em_amp = max_em_amp / np.max(max_em_amp)
np.savez_compressed('max_vcsel_em_amp_' +str(n_points) +'_pts', max_em_amp)
plt.plot_xy(wavelength, max_em_amp)
def clad_coupling_electromagnetic_amplitude(bypass_dbr=False, electric_field=0., wavelength=850e-9):
sl1 = st.structure_eam_vcsel(bypass_dbr=bypass_dbr, l_eam_clad=10e-9, amount_eam_qw=25)
sl2 = st.structure_eam_vcsel(bypass_dbr=bypass_dbr, l_eam_clad=10e-9, amount_eam_qw=25)
......
macro.py
View file @ b0d6cd9a
......@@ -7,8 +7,8 @@ def eams_heatmaps():
cl.reflectivity_heatmap(bypass_dbr=False,
n_wavelength=1080,
n_time=1920,
r_file_name='r_eam_1')
r_file_name='heatmap_r_eam_1')
cl.reflectivity_heatmap(bypass_dbr=True,
n_wavelength=1080,
n_time=1920,
r_file_name='r_eam_2')
\ No newline at end of file
r_file_name='heatmap_r_eam_2')
\ No newline at end of file
optic.py
View file @ b0d6cd9a
......@@ -182,13 +182,14 @@ def reflectivity(bypass_dbr,
wavelength,
vcsel_only = False,
eam_only = True,
l_eam_clad=13e-9,
l_vcsel_clad = 32e-9):
r = np.zeros(len(wavelength))
# wavelength in [m]
# wavelength must be a numpy array
for i in tqdm(range(len(wavelength))):
sl = st.structure_eam_vcsel(vcsel_only=vcsel_only, eam_only=eam_only, bypass_dbr=bypass_dbr, l_vcsel_clad=l_vcsel_clad)
sl = st.structure_eam_vcsel(vcsel_only=vcsel_only, eam_only=eam_only, bypass_dbr=bypass_dbr, l_eam_clad=l_eam_clad, l_vcsel_clad=l_vcsel_clad)
sl = algaas_super_lattice_refractive_index(sl, electric_field, wavelength[i])
n = sl['refractive_index'].to_numpy(dtype=np.complex128)
......@@ -497,7 +498,7 @@ def redheffer_star_product(sg, si):
return s
def em_amplitude_smm(super_lattice, wavelength):
def em_amplitude_smm(super_lattice, wavelength, normalize=True):
# compute the amplitude of the electromagnetic field through the structure
# using scattering matrix method
# based on 'TMM using scattering matrices' by EMPossible
......@@ -530,7 +531,7 @@ def em_amplitude_smm(super_lattice, wavelength):
# loop forward through layers
for i in tqdm(range(n_layers)):
for i in range(n_layers):
# calculate parameters for layer i
k_zt_i = super_lattice.at[i, 'refractive_index']
l = super_lattice.at[i, 'thickness']
......@@ -565,7 +566,7 @@ def em_amplitude_smm(super_lattice, wavelength):
# loop backward through layers
for i in tqdm(range(n_layers)):
for i in range(n_layers):
# iterator from n to 0
di = n_layers -i -1
......@@ -600,7 +601,8 @@ def em_amplitude_smm(super_lattice, wavelength):
# normalize
e = e / np.max(e)
if normalize:
e = e / np.max(e)
return e
......
pandas_tools.py
View file @ b0d6cd9a
......@@ -49,7 +49,7 @@ def insert_row(row_number, df, row_value):
def cut_in_equal_layers_thickness(super_lattice, step, ignore_air=True):
def cut_in_equal_layers_thickness(super_lattice, step, ignore_air=True, progress_bar=False):
if ignore_air:
i = 0
else:
......@@ -61,8 +61,11 @@ def cut_in_equal_layers_thickness(super_lattice, step, ignore_air=True):
total = total[:-1]
# compute the total lenght to cut
total = total.sum() / step
# set the progress bar total
pbar = tqdm(total=total)
if progress_bar:
pbar = tqdm(total=total)
while i < (super_lattice.shape[0] - 1) :
ini = i
......@@ -95,8 +98,10 @@ def cut_in_equal_layers_thickness(super_lattice, step, ignore_air=True):
super_lattice = super_lattice.drop(super_lattice.index[[ini]])
super_lattice = super_lattice.reset_index(drop=True)
pbar.update(i -ini)
pbar.close()
if progress_bar:
pbar.update(i -ini)
if progress_bar:
pbar.close()
return super_lattice
......
plot.py
View file @ b0d6cd9a
......@@ -17,6 +17,49 @@ pio.renderers.default = 'browser'
def plot_xy(x, y):
# create a figure
fig = go.Figure()
# add the traces
fig.add_trace(go.Scatter(
x=x,
y=y,
name='curve'
))
# create axis objects
fig.update_layout(
xaxis=dict(
title='x'
),
yaxis=dict(
title='y',
titlefont=dict(
color='#1f77b4'
),
tickfont=dict(
color='#1f77b4'
)
)
)
# update layout properties
fig.update_layout(
title_text='y as a function of x',
width=1600,
)
# show the figure
fig.show()
def plot_refra_doping(sl):
# remove the substrate layer
sl = sl.drop(sl.shape[0] -1, axis=0)
......
super_lattice_structure.py
View file @ b0d6cd9a
......@@ -130,7 +130,8 @@ def structure_eam_vcsel(vcsel_only = False,
# eam mqw
if eam_mqw:
mqw = structure_mqw(amount_qw = amount_eam_qw,
mqw = structure_mqw(name = 'eam',
amount_qw = amount_eam_qw,
mean_al = eam_mean_al,
l_qw = l_eam_qw,
l_cb = l_eam_cb,
......@@ -181,6 +182,7 @@ def structure_eam_vcsel(vcsel_only = False,
# middle contact
if middle_contact & (not bypass_dbr):
middle_contact, previous_layer_is_dbr = structure_middle_contact(bypass_dbr = bypass_dbr,
vcsel_only = vcsel_only,
grading_type = grading_type,
grading_width = grading_width,
grading_period = grading_period)
......@@ -219,7 +221,8 @@ def structure_eam_vcsel(vcsel_only = False,
v_ga11=v_ga11,
v_al5=v_al5)
linear_grading_high_to_low_al = linear_grading_low_to_high_al[::-1].copy()
mqw = structure_mqw(amount_qw = amount_vcsel_qw,
mqw = structure_mqw(name = 'vcsel',
amount_qw = amount_vcsel_qw,
mean_al = vcsel_mean_al,
l_qw = l_vcsel_qw,
l_cb = l_vcsel_cb,
......@@ -260,7 +263,8 @@ def structure_eam_vcsel(vcsel_only = False,
def structure_mqw(amount_qw = 3,
def structure_mqw(name = 'vcsel',
amount_qw = 3,
mean_al = 0.3,
l_clad = 15e-9,
l_cb = 10e-9,
......@@ -279,20 +283,20 @@ def structure_mqw(amount_qw = 3,
# cladding
clad = structure_standard_digital_alloy_15_60_hlh(l_clad,
mean_al=mean_al,
layer_name='cladding',
layer_name=name +' cladding',
v_ga6=v_ga6,
v_ga11=v_ga11,
v_al12=v_al12)
# confinement barrier
cb = structure_standard_digital_alloy_15_60_hlh(l_cb,
mean_al=mean_al,
layer_name='confinement barrier',
layer_name=name +' confinement barrier',
v_ga6=v_ga6,
v_ga11=v_ga11,
v_al12=v_al12)
# quantum well
l_qw = true_epitaxy_thickness(l_qw, v_ga6, ga6=True)
quantum_well = pd.DataFrame([['quantum well', l_qw, 0., 0., 0., True, False, False, False]],
quantum_well = pd.DataFrame([[name +' quantum well', l_qw, 0., 0., 0., True, False, False, False]],
columns=['name', 'thickness', 'al', 'na', 'nd', 'ga6', 'ga11', 'al5', 'al12'])
......@@ -494,6 +498,7 @@ def structure_linear_grading(grading_width = 20e-9,
def structure_middle_contact(bypass_dbr = False,
vcsel_only = False,
grading_type = 'linear',
grading_width = 20e-9,
grading_period = 10,
......@@ -540,7 +545,7 @@ def structure_middle_contact(bypass_dbr = False,
if grading_type == 'linear':
sl = sl.append(linear_grading_high_to_low_al, ignore_index=True)
sl = sl.append(pd.DataFrame([['middle contact', l_low_al -grading_width, low_al, 5e18, 0., False, True, False, True]],
sl = sl.append(pd.DataFrame([['middle contact', l_low_al -grading_width*3/4, low_al, 5e18, 0., False, True, False, True]],
columns=['name', 'thickness', 'al', 'na', 'nd', 'ga6', 'ga11', 'al5', 'al12']),
ignore_index=True)
......@@ -552,9 +557,15 @@ def structure_middle_contact(bypass_dbr = False,
# normal contact
else:
if grading_type == 'linear':
sl = sl.append(pd.DataFrame([['middle contact', l_low_al -grading_width, low_al, 5e18, 0., False, True, False, True]],
columns=['name', 'thickness', 'al', 'na', 'nd', 'ga6', 'ga11', 'al5', 'al12']),
ignore_index=True)
if vcsel_only:
sl = sl.append(linear_grading_high_to_low_al[9:19], ignore_index=True)
sl = sl.append(pd.DataFrame([['middle contact', l_low_al -grading_width, low_al, 5e18, 0., False, True, False, True]],
columns=['name', 'thickness', 'al', 'na', 'nd', 'ga6', 'ga11', 'al5', 'al12']),
ignore_index=True)
else:
sl = sl.append(pd.DataFrame([['middle contact', l_low_al -grading_width, low_al, 5e18, 0., False, True, False, True]],
columns=['name', 'thickness', 'al', 'na', 'nd', 'ga6', 'ga11', 'al5', 'al12']),
ignore_index=True)
else:
sl = sl.append(pd.DataFrame([['middle contact', l_low_al, low_al, 5e18, 0., False, True, False, True]],
columns=['name', 'thickness', 'al', 'na', 'nd', 'ga6', 'ga11', 'al5', 'al12']),
......
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