diff --git a/README.md b/README.md
index 2cd868dd0027edfed4801aa93691d92e8932eadc..6ec961299538b1bf790664220d7254fc2fa3c4df 100644
--- a/README.md
+++ b/README.md
@@ -1,2 +1,32 @@
-# dielectric-thermal-noise
-Dielectric mirror thermal noise
+# Ditherm: Dielectric Thermal Noise Calculator
+This is a tool to calculate Brownian thermal noise in dielectric mirror stacks. In theory, it supports noise calculations for n-layer stacks of any material, but it has only been tested with two-material stacks using data from the [Advanced LIGO](https://www.advancedligo.mit.edu/) noise calculator, [GWINC](https://awiki.ligo-wa.caltech.edu/aLIGO/GWINC) (that link requires albert.einstein style credentials, available to members of the LIGO Scientific Community only).
+
+## Notes ##
+I provide this software without any kind of guarantee that it provides the correct answer. This software is in no way affiliated with or endorsed by any university or organisation - it is purely the work of a private individual.
+
+In particular, the extension from the two-material Brownian noise calculation (mostly based on Harry et al., 2002) to an n-material calculation was performed simply by inspecting the formulae. I don't know if this is reasonable or not. I suspect that for coatings with more than a few (~3) materials and with extremely small or large (outwith the range wavelength * 0.15 to wavelength * 0.35) optical thicknesses per layer, the results will diverge from reality. Use at your own risk!
+
+## Testing ##
+To test the software against precomputed values from GWINC, run:
+
+`python ditherm test`
+
+from the root Ditherm directory (the same directory as this readme).
+
+## Future Work ##
+ - Implement phase correction to Brownian calculation as per the functions on [this page](https://awiki.ligo-wa.caltech.edu/aLIGO/GWINC)
+ - Look at proper way to combine multiple materials by reading these papers:
+   - http://journals.aps.org/prd/abstract/10.1103/PhysRevD.91.042002
+   - http://journals.aps.org/prd/abstract/10.1103/PhysRevD.87.082001
+   - http://journals.aps.org/prd/abstract/10.1103/PhysRevD.91.042001
+
+## Credits ##
+This implementation was written by Sean Leavey, but the calculations are based on a number of sources:
+ - http://dx.doi.org/10.1088/0264-9381/19/5/305
+ - http://proceedings.spiedigitallibrary.org/proceeding.aspx?articleid=851432 (for the correction to perpendicular component of the loss angle from Harry et al. 2002)
+ - http://dx.doi.org/10.1088/0264-9381/24/2/008
+ - GWINC (for the simplified version of the parallel component of Poisson's ratio)
+ - Personal discussion with colleagues
+ 
+Sean Leavey  
+https://github.com/SeanDS/
\ No newline at end of file
diff --git a/ditherm/__init__.py b/ditherm/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..8d1c8b69c3fce7bea45c73efd06983e3c419a92f
--- /dev/null
+++ b/ditherm/__init__.py
@@ -0,0 +1 @@
+ 
diff --git a/ditherm/__main__.py b/ditherm/__main__.py
new file mode 100644
index 0000000000000000000000000000000000000000..c726bef8aa6808fbc040cbd7bb0e338ab8965b26
--- /dev/null
+++ b/ditherm/__main__.py
@@ -0,0 +1,11 @@
+import sys
+
+if len(sys.argv) > 1:
+  if sys.argv[1] == 'test':
+    import unittest
+
+    loader = unittest.TestLoader()
+    suite = loader.discover('.')
+
+    runner = unittest.runner.TextTestRunner()
+    runner.run(suite)
\ No newline at end of file
diff --git a/ditherm/layers.py b/ditherm/layers.py
new file mode 100644
index 0000000000000000000000000000000000000000..ce785c8306630077beccbd02e028f9570400262b
--- /dev/null
+++ b/ditherm/layers.py
@@ -0,0 +1,98 @@
+from __future__ import division
+
+import materials
+
+class Layer(object):
+  def __init__(self, material, d):
+    self.material = material
+    self.d = d
+  
+  @property
+  def material(self):
+    return self.__material
+
+  @material.setter
+  def material(self, material):
+    self.__material = material
+  
+  @property
+  def d(self):
+    """
+    Layer physical thickness.
+    """
+    
+    return self.__d
+  
+  @d.setter
+  def d(self, d):
+    self.__d = d
+
+class Bilayer(object):
+  def __init__(self, layerA, layerB):
+    self.layerA = layerA
+    self.layerB = layerB
+  
+  @property
+  def layerA(self):
+    return self.__layerA
+  
+  @layerA.setter
+  def layerA(self, layerA):
+    self.__layerA = layerA
+
+  @property
+  def layerB(self):
+    return self.__layerB
+  
+  @layerB.setter
+  def layerB(self, layerB):
+    self.__layerB = layerB
+    
+  def d(self):
+    """
+    Total bilayer physical thickness.
+    """
+    
+    return self.layerA.d + self.layerB.d
+    
+  def yPara(self):
+    """
+    Parallel component of Young's modulus.
+    """
+    
+    return 1 / self.d() * (self.layerA.d * self.layerA.material.Y + self.layerB.d * self.layerB.material.Y)
+  
+  def yPerp(self):
+    """
+    Perpendicular component of Young's modulus.
+    """
+    
+    return self.d() / (self.layerA.d / self.layerA.material.Y + self.layerB.d / self.layerB.material.Y)
+    
+  def phiPara(self):
+    """
+    Parallel component of loss angle.
+    """
+    
+    return 1 / (self.d() * self.yPara()) * (self.layerA.material.Y * self.layerA.material.phi * self.layerA.d + self.layerB.material.Y * self.layerB.material.phi * self.layerB.d)
+    
+  def phiPerp(self):
+    """
+    Perpendicular component of loss angle.
+    """
+    
+    return self.yPerp() / self.d() * (self.layerA.d * self.layerA.material.phi / self.layerA.material.Y + self.layerB.d * self.layerB.material.phi / self.layerB.material.Y)
+
+  def sigmaPara(self):
+    """
+    Parallel component of Poisson ratio.
+    """
+    
+    return (self.layerA.d * self.layerA.material.sigma * self.layerA.material.Y * (1 - self.layerA.material.sigma ** 2) + self.layerB.d * self.layerB.material.sigma * self.layerB.material.Y * (1 - self.layerB.material.sigma ** 2)) / (self.layerA.d * self.layerA.material.Y * (1 - self.layerB.material.sigma ** 2) + self.layerB.d * self.layerB.material.Y * (1 - self.layerA.material.sigma ** 2))
+
+  def sigmaPerp(self):
+    """
+    Perpendicular component of Poisson ratio.
+    """
+    
+    return (self.layerA.material.sigma * self.layerA.material.Y * self.layerA.d + self.layerB.material.sigma * self.layerB.material.Y * self.layerB.d) / (self.layerA.material.Y * self.layerA.d + self.layerB.material.Y * self.layerB.d)
\ No newline at end of file
diff --git a/ditherm/materials.py b/ditherm/materials.py
new file mode 100644
index 0000000000000000000000000000000000000000..331449eb565703738440620efb0416e09e4d5b59
--- /dev/null
+++ b/ditherm/materials.py
@@ -0,0 +1,65 @@
+from __future__ import division
+
+class Material(object):
+  def __init__(self, name, Y, sigma, phi, n):
+    self.name = name
+    self.Y = Y
+    self.sigma = sigma
+    self.phi = phi
+    self.n = n
+  
+  @property
+  def name(self):
+    return self.__name
+  
+  @name.setter
+  def name(self, name):
+    self.__name = name
+  
+  @property
+  def Y(self):
+    return self.__Y
+  
+  @Y.setter
+  def Y(self, Y):
+    self.__Y = Y
+  
+  @property
+  def sigma(self):
+    return self.__sigma
+  
+  @sigma.setter
+  def sigma(self, sigma):
+    self.__sigma = sigma
+
+  @property
+  def phi(self):
+    return self.__phi
+  
+  @phi.setter
+  def phi(self, phi):
+    self.__phi = phi
+  
+  @property
+  def n(self):
+    return self.__n
+  
+  @n.setter
+  def n(self, n):
+    self.__n = n
+
+class SilicaCoating(Material):
+  def __init__(self, *args, **kwargs):
+    super(SilicaCoating, self).__init__("Silica", 72e9, 0.17, 4e-5, 1.45)
+
+class TantalaCoating(Material):
+  def __init__(self, *args, **kwargs):
+    super(TantalaCoating, self).__init__("Tantala", 140e9, 0.23, 3.8e-4, 2.06)
+
+class TitaniumTantalaCoating(Material):
+  def __init__(self, *args, **kwargs):
+    super(TitaniumTantalaCoating, self).__init__("Titanium doped Tantala", 140e9, 0.23, 3e-4, 2.06)
+
+class SilicaSubstrate(Material):
+  def __init__(self, *args, **kwargs):
+    super(SilicaSubstrate, self).__init__("Silica", 72e9, 0.17, 5e-9, 1.45)  
\ No newline at end of file
diff --git a/ditherm/stacks.py b/ditherm/stacks.py
new file mode 100644
index 0000000000000000000000000000000000000000..0790e363ccb5a80b01a8327502df42812c5f99ea
--- /dev/null
+++ b/ditherm/stacks.py
@@ -0,0 +1,102 @@
+from __future__ import division
+
+import numpy as np
+
+import layers
+import materials
+
+class Stack(object):
+  def __init__(self, layers, substrate):
+    self.layers = layers
+    self.substrate = substrate
+
+  @property
+  def layers(self):
+    return self.__layers
+  
+  @layers.setter
+  def layers(self, layers):
+    self.__layers = layers
+  
+  @property
+  def substrate(self):
+    return self.__substrate
+  
+  @substrate.setter
+  def substrate(self, substrate):
+    self.__substrate = substrate
+  
+  def d(self):
+    """
+    Total thickness.
+    """
+    
+    return sum(layer.d for layer in self.layers)
+    
+  def yPara(self):
+    """
+    Total parallel Young's modulus.
+    """
+    
+    return 1 / self.d() * sum([layer.d * layer.material.Y for layer in self.layers])
+    
+  def yPerp(self):
+    """
+    Total perpendicular Young's modulus.
+    """
+    
+    return self.d() / sum([layer.d / layer.material.Y for layer in self.layers])
+  
+  def phiPara(self):    
+    """
+    Total parallel loss angle.
+    """
+    
+    return 1 / (self.d() * self.yPara()) * sum([layer.material.Y * layer.material.phi * layer.d for layer in self.layers])
+    
+  def phiPerp(self):
+    """
+    Total perpendicular loss angle.
+    """
+    
+    return self.yPerp() / self.d() * sum([layer.d * layer.material.phi / layer.material.Y for layer in self.layers])
+    
+  def sigmaPara(self):
+    """
+    Total stack parallel Poisson ratio.
+    """
+    
+    return np.mean([layer.material.sigma for layer in self.layers])
+    
+  def sigmaPerp(self):
+    """
+    Total perpendicular Poisson ratio.
+    """
+    
+    return sum([layer.material.sigma * layer.material.Y * layer.d for layer in self.layers]) / sum([layer.material.Y * layer.d for layer in self.layers])
+    
+  def phi(self, beamSize):
+    """
+    Effective loss angle.
+    """
+    
+    return (self.d() / (np.sqrt(np.pi) * beamSize * self.yPerp()) *
+            (self.phiPerp() *
+             (self.substrate.Y / (1 - self.substrate.sigma ** 2) -
+              2 * self.sigmaPerp() ** 2 * self.substrate.Y * self.yPara() /
+              (self.yPerp() * (1 - self.substrate.sigma ** 2) * (1 - self.sigmaPara()))) +
+             self.yPara() * self.sigmaPerp() * (1 - 2 * self.substrate.sigma) /
+             ((1 - self.sigmaPara()) * (1 - self.substrate.sigma)) *
+             (self.phiPara() - self.phiPerp()) +
+             self.yPara() * self.yPerp() * (1 + self.substrate.sigma) *
+             (self.phiPara() * (1 - 2 * self.substrate.sigma) ** 2) /
+             (self.substrate.Y * (1 - self.sigmaPara() ** 2) * (1 - self.substrate.sigma))))
+
+  def brownianNoise(self, freq, beamSize, temperature):
+    k = 1.3806503e-23;
+    
+    return 2 * k * temperature / (np.sqrt(np.pi ** 3) * freq * beamSize * self.substrate.Y) * (1 - self.substrate.sigma ** 2) * self.phi(beamSize)
+  
+    # GWINC version, which does the same thing
+    #c = self.d()*(1-self.substrate.sigma**2)/(np.pi*beamSize**2)*((1/(self.yPerp()*(1-self.substrate.sigma**2))-2*self.sigmaPerp()**2*self.yPara()/(self.yPerp()**2*(1-self.substrate.sigma**2)*(1-self.sigmaPara())))*self.phiPerp() + self.yPara()*self.sigmaPerp()*(1-2*self.substrate.sigma)/(self.yPerp()*self.substrate.Y*(1-self.sigmaPara())*(1-self.substrate.sigma))*(self.phiPara()-self.phiPerp())+self.yPara()*(1+self.substrate.sigma)*(1-2*self.substrate.sigma)**2/(self.substrate.Y**2*(1-self.sigmaPara()**2)*(1-self.substrate.sigma))*self.phiPara())
+    #return 4 * k * temperature * c / (2 * np.pi * freq)
\ No newline at end of file
diff --git a/ditherm/tests/__init__.py b/ditherm/tests/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/ditherm/tests/gwinc/aligo.csv b/ditherm/tests/gwinc/aligo.csv
new file mode 100644
index 0000000000000000000000000000000000000000..656eae851ef5ec8e0790877e63eedd2d776f5c17
--- /dev/null
+++ b/ditherm/tests/gwinc/aligo.csv
@@ -0,0 +1,1000 @@
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diff --git a/ditherm/tests/gwinc/getData.m b/ditherm/tests/gwinc/getData.m
new file mode 100644
index 0000000000000000000000000000000000000000..9e33699a5f2b85d34d3e18bd5f8e6ff39b650b1e
--- /dev/null
+++ b/ditherm/tests/gwinc/getData.m
@@ -0,0 +1,15 @@
+% Script to extract calculated Brownian noise values from GWINC.
+% Run from within the GWINC directory.
+
+% load precomputed IFO model
+load('ifo.mat');
+
+% frequencies to calculate
+f = logspace(-2, 5, 1000);
+
+% calculate Brownian noise for mirrors
+SbrITM  = getCoatBrownian(f, ifo, 'ITM');
+SbrETM  = getCoatBrownian(f, ifo, 'ETM');
+
+% save CSV file
+csvwrite('aligo.csv', [f', SbrITM', SbrETM']);
\ No newline at end of file
diff --git a/ditherm/tests/gwinc/ifo.mat b/ditherm/tests/gwinc/ifo.mat
new file mode 100644
index 0000000000000000000000000000000000000000..e770207b65bdefa63143242d7be8bf40003b58c6
Binary files /dev/null and b/ditherm/tests/gwinc/ifo.mat differ
diff --git a/ditherm/tests/test_brownian.py b/ditherm/tests/test_brownian.py
new file mode 100644
index 0000000000000000000000000000000000000000..6de02e73348e14c0046852ee1696345898aa9559
--- /dev/null
+++ b/ditherm/tests/test_brownian.py
@@ -0,0 +1,101 @@
+from __future__ import division
+
+import sys
+import os
+
+sys.path.append('..')
+
+from unittest import TestCase
+
+import materials
+import layers
+import stacks
+import numpy as np
+
+class AdvancedLigoEtmStack(stacks.Stack):
+  def __init__(self, wavelength):
+    substrate = materials.Material("Silica Substrate", 7.27e10, 0.167, 5e-9, 1.45)
+    coatingA = materials.Material("Silica Coating", 7.2e10, 0.17, 4e-5, 1.45)
+    coatingB = materials.Material("Titanium Tantala Coating", 1.4e11, 0.23, 2.3e-4, 2.06539)
+    
+    layerA = layers.Layer(coatingA, 0.27 * wavelength / coatingA.n)
+    layerB = layers.Layer(coatingB, 0.23 * wavelength / coatingB.n)
+    
+    topLayer = layers.Layer(coatingA, 0.5 * wavelength / coatingA.n)
+    baseLayer = layers.Layer(coatingA, 0.163870186147445 * wavelength / coatingB.n)
+
+    theseLayers = np.array([topLayer, layerB] + [layerA, layerB] * 17 + [layerA, baseLayer])
+    
+    super(AdvancedLigoEtmStack, self).__init__(theseLayers, substrate)
+
+class AdvancedLigoItmStack(stacks.Stack):
+  def __init__(self, wavelength):
+    substrate = materials.Material("Silica Substrate", 7.27e10, 0.167, 5e-9, 1.45)
+    coatingA = materials.Material("Silica Coating", 7.2e10, 0.17, 4e-5, 1.45)
+    coatingB = materials.Material("Titanium Tantala Coating", 1.4e11, 0.23, 2.3e-4, 2.06539)
+    
+    layerA = layers.Layer(coatingA, 0.308 * wavelength / coatingA.n)
+    layerB = layers.Layer(coatingB, 0.192 * wavelength / coatingB.n)
+    
+    topLayer = layers.Layer(coatingA, 0.5 * wavelength / coatingA.n)
+    baseLayer = layers.Layer(coatingA, 0.186957128029190 * wavelength / coatingB.n)
+
+    theseLayers = np.array([topLayer, layerB] + [layerA, layerB] * 7 + [layerA, baseLayer])
+    
+    super(AdvancedLigoItmStack, self).__init__(theseLayers, substrate)
+
+class TestBrownianNoise(TestCase):
+  def setUp(self):
+    self.etmStack = AdvancedLigoEtmStack(1064e-9)
+    self.itmStack = AdvancedLigoItmStack(1064e-9)
+  
+  def test_d(self):
+    self.assertAlmostEqual(self.etmStack.d(), 6.150299645767251e-6, delta=1e-20)
+  
+  def test_y_para(self):
+    gwincVal = 9.651384066646355e10
+    self.assertAlmostEqual(self.etmStack.yPara(), gwincVal, delta=0.3*gwincVal)
+  
+  def test_y_perp(self):
+    gwincVal = 8.728318664479849e10
+    self.assertAlmostEqual(self.etmStack.yPerp(), gwincVal, delta=0.3*gwincVal)
+  
+  def test_phi_para(self):
+    gwincVal = 1.393560882693337e-4
+    self.assertAlmostEqual(self.etmStack.phiPara(), gwincVal, delta=0.05*gwincVal)
+  
+  def test_phi_perp(self):
+    gwincVal = 8.270302150752522e-5
+    self.assertAlmostEqual(self.etmStack.phiPerp(), gwincVal, delta=0.05*gwincVal)
+  
+  def test_sigma_para(self):
+    gwincVal = 0.2
+    self.assertAlmostEqual(self.etmStack.sigmaPara(), gwincVal, delta=0.01*gwincVal)
+  
+  def test_sigma_perp(self):
+    gwincVal = 0.201375606821895
+    self.assertAlmostEqual(self.etmStack.sigmaPerp(), gwincVal, delta=0.01*gwincVal)
+
+  def test_brownian_noise_itm(self):
+    # load GWINC exported data
+    gwincData = np.genfromtxt(os.path.join(os.path.dirname(__file__), 'gwinc', 'aligo.csv'), delimiter=',')
+    
+    wITM = 55e-3
+    T = 290
+    
+    # calculate noise
+    dithermITM = self.itmStack.brownianNoise(gwincData[:, 0], wITM, T)
+    
+    self.assertTrue(np.allclose(dithermITM, gwincData[:, 1], rtol=0.05, atol=0))
+    
+  def test_brownian_noise_etm(self):    
+    # load GWINC exported data
+    gwincData = np.genfromtxt(os.path.join(os.path.dirname(__file__), 'gwinc', 'aligo.csv'), delimiter=',')
+    
+    wETM = 62e-3
+    T = 290
+    
+    # calculate noise
+    dithermETM = self.etmStack.brownianNoise(gwincData[:, 0], wETM, T)
+    
+    self.assertTrue(np.allclose(dithermETM, gwincData[:, 2], rtol=0.05, atol=0))
\ No newline at end of file
diff --git a/examples/Advanced LIGO/aligo.py b/examples/Advanced LIGO/aligo.py
new file mode 100644
index 0000000000000000000000000000000000000000..d41182064ed2444b446ca33f00612d6e0594df1b
--- /dev/null
+++ b/examples/Advanced LIGO/aligo.py	
@@ -0,0 +1,60 @@
+"""
+Brownian noise in Advanced LIGO ETM
+"""
+
+from __future__ import division
+
+import sys
+
+sys.path.append('..')
+
+import stacks
+import matplotlib.pyplot as plt
+import numpy as np
+
+###
+# Parameters
+
+# wavelength
+wavelength = 1064e-9 # [m]
+
+# frequency range
+f = np.logspace(1, 4, 1000) # [Hz]
+
+# temperature
+T = 290 # [K]
+
+# beam sizes (distance from centre where power drops to 1/e)
+wITM = 55e-3 # [m]
+wETM = 62e-3 # [m]
+
+###
+# Calculation
+
+stackITM = stacks.AdvancedLigoItmStack(wavelength)
+stackETM = stacks.AdvancedLigoEtmStack(wavelength)
+
+# calculate Brownian noise amplitude for frequency range
+brownianNoiseITM = stackITM.brownianNoise(f, wITM, T)
+brownianNoiseETM = stackETM.brownianNoise(f, wETM, T)
+
+# combined noise for interferometer
+brownianNoiseCombined = 2 * (brownianNoiseITM + brownianNoiseETM);
+
+###
+# Plot
+
+# log-log plot
+plt.loglog(f, np.sqrt(brownianNoiseITM), f, np.sqrt(brownianNoiseETM), f, np.sqrt(brownianNoiseCombined))
+
+# axis labels, etc.
+plt.legend(['ITM', 'ETM', 'Advanced LIGO Total'])
+plt.xlabel('Frequency [Hz]')
+plt.ylabel('Displacement-equivalent noise [m / sqrt(Hz)]')
+plt.title('Brownian noise in Advanced LIGO ETM')
+
+# add grid
+plt.grid(True)
+
+# display
+plt.show()
\ No newline at end of file
diff --git a/examples/Advanced LIGO/stacks.py b/examples/Advanced LIGO/stacks.py
new file mode 100644
index 0000000000000000000000000000000000000000..8d2fa50a90012cc70a2c7fed15f9c6a1ed408d86
--- /dev/null
+++ b/examples/Advanced LIGO/stacks.py	
@@ -0,0 +1,42 @@
+from __future__ import division
+
+import sys
+
+sys.path.append('../..')
+
+import ditherm.materials as materials
+import ditherm.layers as layers
+import ditherm.stacks as stacks
+import numpy as np
+
+class AdvancedLigoItmStack(stacks.Stack):
+  def __init__(self, wavelength):
+    substrate = materials.Material("Silica Substrate", 7.27e10, 0.167, 5e-9, 1.45)
+    coatingA = materials.Material("Silica Coating", 7.2e10, 0.17, 4e-5, 1.45)
+    coatingB = materials.Material("Titanium Tantala Coating", 1.4e11, 0.23, 2.3e-4, 2.06539)
+    
+    layerA = layers.Layer(coatingA, 0.308 * wavelength / coatingA.n)
+    layerB = layers.Layer(coatingB, 0.192 * wavelength / coatingB.n)
+    
+    topLayer = layers.Layer(coatingA, 0.5 * wavelength / coatingA.n)
+    baseLayer = layers.Layer(coatingA, 0.186957128029190 * wavelength / coatingB.n)
+
+    theseLayers = np.array([topLayer, layerB] + [layerA, layerB] * 7 + [layerA, baseLayer])
+    
+    super(AdvancedLigoItmStack, self).__init__(theseLayers, substrate)
+
+class AdvancedLigoEtmStack(stacks.Stack):
+  def __init__(self, wavelength):
+    substrate = materials.Material("Silica Substrate", 7.27e10, 0.167, 5e-9, 1.45)
+    coatingA = materials.Material("Silica Coating", 7.2e10, 0.17, 4e-5, 1.45)
+    coatingB = materials.Material("Titanium Tantala Coating", 1.4e11, 0.23, 2.3e-4, 2.06539)
+    
+    layerA = layers.Layer(coatingA, 0.27 * wavelength / coatingA.n)
+    layerB = layers.Layer(coatingB, 0.23 * wavelength / coatingB.n)
+    
+    topLayer = layers.Layer(coatingA, 0.5 * wavelength / coatingA.n)
+    baseLayer = layers.Layer(coatingA, 0.163870186147445 * wavelength / coatingB.n)
+
+    theseLayers = np.array([topLayer, layerB] + [layerA, layerB] * 17 + [layerA, baseLayer])
+    
+    super(AdvancedLigoEtmStack, self).__init__(theseLayers, substrate)
\ No newline at end of file