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a/_sources/pages/mzi_layout.ipynb b/_sources/pages/mzi_layout.ipynb index fc254aa..ec76b8f 100644 --- a/_sources/pages/mzi_layout.ipynb +++ b/_sources/pages/mzi_layout.ipynb @@ -25,10 +25,10 @@ "name": "stderr", "output_type": "stream", "text": [ - "\u001b[32m2024-01-26 14:59:56.805\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36mgdsfactory.technology.layer_views\u001b[0m:\u001b[36m__init__\u001b[0m:\u001b[36m790\u001b[0m - \u001b[1mImporting LayerViews from YAML file: '/home/parkeraa/miniconda3/envs/mp/lib/python3.11/site-packages/ubcpdk/layers.yaml'.\u001b[0m\n", - "\u001b[32m2024-01-26 14:59:57.403\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36mubcpdk\u001b[0m:\u001b[36m\u001b[0m:\u001b[36m30\u001b[0m - \u001b[1mFound UBCpdk '2.3.4' installed at PosixPath('/home/parkeraa/miniconda3/envs/mp/lib/python3.11/site-packages/ubcpdk')\u001b[0m\n", - "\u001b[32m2024-01-26 14:59:57.478\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36mgdsfactory.technology.layer_views\u001b[0m:\u001b[36m__init__\u001b[0m:\u001b[36m790\u001b[0m - \u001b[1mImporting LayerViews from YAML file: '/home/parkeraa/miniconda3/envs/mp/lib/python3.11/site-packages/gdsfactory/generic_tech/layer_views.yaml'.\u001b[0m\n", - "\u001b[32m2024-01-26 14:59:57.482\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36mgdsfactory.pdk\u001b[0m:\u001b[36mactivate\u001b[0m:\u001b[36m307\u001b[0m - \u001b[1m'ubcpdk' PDK is now active\u001b[0m\n" + "\u001b[32m2024-01-29 08:27:51.562\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36mgdsfactory.technology.layer_views\u001b[0m:\u001b[36m__init__\u001b[0m:\u001b[36m790\u001b[0m - \u001b[1mImporting LayerViews from YAML file: '/home/parkeraa/miniconda3/envs/mp/lib/python3.11/site-packages/ubcpdk/layers.yaml'.\u001b[0m\n", + "\u001b[32m2024-01-29 08:27:52.715\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36mubcpdk\u001b[0m:\u001b[36m\u001b[0m:\u001b[36m30\u001b[0m - \u001b[1mFound UBCpdk '2.3.4' installed at PosixPath('/home/parkeraa/miniconda3/envs/mp/lib/python3.11/site-packages/ubcpdk')\u001b[0m\n", + "\u001b[32m2024-01-29 08:27:52.806\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36mgdsfactory.technology.layer_views\u001b[0m:\u001b[36m__init__\u001b[0m:\u001b[36m790\u001b[0m - \u001b[1mImporting LayerViews from YAML file: '/home/parkeraa/miniconda3/envs/mp/lib/python3.11/site-packages/gdsfactory/generic_tech/layer_views.yaml'.\u001b[0m\n", + "\u001b[32m2024-01-29 08:27:52.813\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36mgdsfactory.pdk\u001b[0m:\u001b[36mactivate\u001b[0m:\u001b[36m307\u001b[0m - \u001b[1m'ubcpdk' PDK is now active\u001b[0m\n" ] } ], @@ -139,7 +139,7 @@ "outputs": [ { "data": { - "image/png": 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", + "image/png": 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", "text/plain": [ "
" ] @@ -149,7 +149,7 @@ } ], "source": [ - "mzi = uc.mzi(delta_length=10, length_x=1, length_y=20)\n", + "mzi = uc.mzi(delta_length=100, length_x=1, length_y=20)\n", "mzi.plot()" ] }, @@ -178,6 +178,34 @@ ":::" ] }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "TE_MZI = uc.add_fiber_array(component=mzi, component_name='MyCoolMZI1')\n", + "TE_MZI.plot()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can also change the grating coupler to a TM coupler by passing in a TM coupler. We also can flip the direction of the mzi. This isn't really useful for the MZI but can help us make sure the right port is the input in other cases. " + ] + }, { "cell_type": "code", "execution_count": 6, @@ -185,7 +213,7 @@ "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -195,8 +223,49 @@ } ], "source": [ - "component_fiber_array = uc.add_fiber_array(component=mzi, component_name='MyCoolMZI1')\n", - "component_fiber_array.plot()" + "TM_MZI = uc.add_fiber_array(component=mzi.rotate(180), grating_coupler=uc.gc_tm1550, component_name='MyCoolMZITM')\n", + "TM_MZI.plot()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now we should put them together to make our 'final' design. We can use the [distribute](https://gdsfactory.github.io/gdsfactory/notebooks/04_components_pack.html#distribute) and [align](https://gdsfactory.github.io/gdsfactory/notebooks/04_components_pack.html#align) functions." + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/parkeraa/miniconda3/envs/mp/lib/python3.11/site-packages/gdsfactory/component.py:1569: UserWarning: Unnamed cells, 1 in 'Unnamed_b83043de'\n", + " gdspath = component.write_gds(logging=False)\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "mzi_together = gf.Component()\n", + "mzi_together.add_ref(TE_MZI)\n", + "mzi_together.add_ref(TM_MZI)\n", + "\n", + "mzi_together.distribute(direction='x', spacing=10)\n", + "mzu_together = mzi_together.align(alignment='ymax')\n", + "mzi_together.plot()" ] }, { @@ -212,14 +281,16 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 13, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "\u001b[32m2024-01-26 16:12:00.066\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36mgdsfactory.component\u001b[0m:\u001b[36m_write_library\u001b[0m:\u001b[36m1913\u001b[0m - \u001b[1mWrote to 'mzi.gds'\u001b[0m\n" + "/tmp/ipykernel_305404/1677396279.py:1: UserWarning: Unnamed cells, 1 in 'Unnamed_b83043de'\n", + " mzi_together.write_gds(\"mzi.gds\")\n", + "\u001b[32m2024-01-29 08:37:46.359\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36mgdsfactory.component\u001b[0m:\u001b[36m_write_library\u001b[0m:\u001b[36m1913\u001b[0m - \u001b[1mWrote to 'mzi.gds'\u001b[0m\n" ] }, { @@ -228,13 +299,14 @@ "PosixPath('mzi.gds')" ] }, - "execution_count": 7, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "component_fiber_array.write_gds(\"mzi.gds\")" + "\n", + "mzi_together.write_gds(\"mzi.gds\")" ] } ], diff --git a/pages/directional_couplers.html b/pages/directional_couplers.html index d0046ea..2310de9 100644 --- a/pages/directional_couplers.html +++ b/pages/directional_couplers.html @@ -565,8 +565,8 @@

Coupling length and the gap between waveguides\(\Delta n\) gets larger, making the cross-over length shorter.

This cross-over length \(L\), that gives 100% power transfer is found with:

-
-(2)#\[\begin{align} +
+(2)#\[\begin{align} L_{\text{cross-over}} = \frac {\lambda}{2\Delta n} \nonumber \end{align}\]

This is found from determining what length when multiplied by the propagation constants makes the phase difference \(\pi\):

diff --git a/pages/mzi_layout.html b/pages/mzi_layout.html index 0023939..11adab5 100644 --- a/pages/mzi_layout.html +++ b/pages/mzi_layout.html @@ -324,10 +324,10 @@

Laying out a Mach-Zehnder Interferometer -
2024-01-26 14:59:56.805 | INFO     | gdsfactory.technology.layer_views:__init__:790 - Importing LayerViews from YAML file: '/home/parkeraa/miniconda3/envs/mp/lib/python3.11/site-packages/ubcpdk/layers.yaml'.
-2024-01-26 14:59:57.403 | INFO     | ubcpdk:<module>:30 - Found UBCpdk '2.3.4' installed at PosixPath('/home/parkeraa/miniconda3/envs/mp/lib/python3.11/site-packages/ubcpdk')
-2024-01-26 14:59:57.478 | INFO     | gdsfactory.technology.layer_views:__init__:790 - Importing LayerViews from YAML file: '/home/parkeraa/miniconda3/envs/mp/lib/python3.11/site-packages/gdsfactory/generic_tech/layer_views.yaml'.
-2024-01-26 14:59:57.482 | INFO     | gdsfactory.pdk:activate:307 - 'ubcpdk' PDK is now active
+
2024-01-29 08:27:51.562 | INFO     | gdsfactory.technology.layer_views:__init__:790 - Importing LayerViews from YAML file: '/home/parkeraa/miniconda3/envs/mp/lib/python3.11/site-packages/ubcpdk/layers.yaml'.
+2024-01-29 08:27:52.715 | INFO     | ubcpdk:<module>:30 - Found UBCpdk '2.3.4' installed at PosixPath('/home/parkeraa/miniconda3/envs/mp/lib/python3.11/site-packages/ubcpdk')
+2024-01-29 08:27:52.806 | INFO     | gdsfactory.technology.layer_views:__init__:790 - Importing LayerViews from YAML file: '/home/parkeraa/miniconda3/envs/mp/lib/python3.11/site-packages/gdsfactory/generic_tech/layer_views.yaml'.
+2024-01-29 08:27:52.813 | INFO     | gdsfactory.pdk:activate:307 - 'ubcpdk' PDK is now active
@@ -371,13 +371,13 @@

Laying out a Mach-Zehnder Interferometerdocs. There is an ASCII drawing there that is helpful to understand what the different length parameters do.

-
mzi = uc.mzi(delta_length=10, length_x=1, length_y=20)
+
mzi = uc.mzi(delta_length=100, length_x=1, length_y=20)
 mzi.plot()
-../_images/5bd0fbe20a6b31b7cccb02b191c9e663f21cd22721364d0c126027609c24afcc.png +../_images/62fa2a534bc712557bf1c70de7b7345c1a2db001d5ff2d61cfc69cd9dbccc0cf.png

Finally, we can easily add a grating array to any component. Note that the component we want to add gratings to will be rotated so that its ports are oriented vertically. Also, though we can’t see it in the plot, adding the grating couplers also adds a label to one of the gratings, marking it as the input.

@@ -396,13 +396,46 @@

Laying out a Mach-Zehnder Interferometer
-
component_fiber_array = uc.add_fiber_array(component=mzi, component_name='MyCoolMZI1')
-component_fiber_array.plot()
+
TE_MZI = uc.add_fiber_array(component=mzi, component_name='MyCoolMZI1')
+TE_MZI.plot()
-../_images/efbbb472dff7ad7c42e717dba2e137bbf0c821309c1986cea80ced3ebea94445.png +../_images/ceef6e8f28233ab9522122a4f4571bbb52466070e4f18e6cfca9bcd2fb1f9c1a.png +
+
+

We can also change the grating coupler to a TM coupler by passing in a TM coupler. We also can flip the direction of the mzi. This isn’t really useful for the MZI but can help us make sure the right port is the input in other cases.

+
+
+
TM_MZI = uc.add_fiber_array(component=mzi.rotate(180), grating_coupler=uc.gc_tm1550, component_name='MyCoolMZITM')
+TM_MZI.plot()
+
+
+
+
+../_images/d1a7e1df664b1e3e5992fa8e01f6c15ac021cc6a21fcf72f064132afdadd001c.png +
+
+

Now we should put them together to make our ‘final’ design. We can use the distribute and align functions.

+
+
+
mzi_together = gf.Component()
+mzi_together.add_ref(TE_MZI)
+mzi_together.add_ref(TM_MZI)
+
+mzi_together.distribute(direction='x', spacing=10)
+mzu_together = mzi_together.align(alignment='ymax')
+mzi_together.plot()
+
+
+
+
+
/home/parkeraa/miniconda3/envs/mp/lib/python3.11/site-packages/gdsfactory/component.py:1569: UserWarning: Unnamed cells, 1 in 'Unnamed_b83043de'
+  gdspath = component.write_gds(logging=False)
+
+
+../_images/53579cfbce97dff92e8655f428a25885f458eb7131ed783ee0c90c708a3e218d.png

We can export our design using the write_gds function. If you zoom in on where the lower coupler meets the waveguide, you can see the text label. It should say:

@@ -411,12 +444,14 @@

Laying out a Mach-Zehnder Interferometer
-
component_fiber_array.write_gds("mzi.gds")
+
mzi_together.write_gds("mzi.gds")
-
2024-01-26 16:12:00.066 | INFO     | gdsfactory.component:_write_library:1913 - Wrote to 'mzi.gds'
+
/tmp/ipykernel_305404/1677396279.py:1: UserWarning: Unnamed cells, 1 in 'Unnamed_b83043de'
+  mzi_together.write_gds("mzi.gds")
+2024-01-29 08:37:46.359 | INFO     | gdsfactory.component:_write_library:1913 - Wrote to 'mzi.gds'
 

 

 
PosixPath('mzi.gds')
diff --git a/searchindex.js b/searchindex.js
index 351c9d9..2a3b4dd 100644
--- a/searchindex.js
+++ b/searchindex.js
@@ -1 +1 @@
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