diff --git a/coupling_study.ipynb b/coupling_study.ipynb
new file mode 100644
index 0000000..0911871
--- /dev/null
+++ b/coupling_study.ipynb
@@ -0,0 +1,404 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "b01c5c92-e134-42f9-bf8e-5c3f5b553ef7",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# pyright: reportUnknownArgumentType=false\n",
+ "from rich.theme import Theme\n",
+ "from rich.console import Console\n",
+ "\n",
+ "from finesse.model import Model\n",
+ "from finesse.analysis.actions import (\n",
+ " TemporaryParameters,\n",
+ " Change,\n",
+ " Maximize,\n",
+ " Minimize,\n",
+ " Series,\n",
+ " FrequencyResponse,\n",
+ " Xaxis,\n",
+ " Noxaxis,\n",
+ ")\n",
+ "from finesse.solutions import SeriesSolution\n",
+ "\n",
+ "from matplotlib.pyplot import figure, show\n",
+ "from matplotlib.axes import Axes\n",
+ "\n",
+ "from numpy import geomspace, linspace\n",
+ "\n",
+ "from numpy.typing import NDArray\n",
+ "from typing import Any, NamedTuple\n",
+ "\n",
+ "from pathlib import Path"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "f0b4199a-b9b0-4969-97c7-497faa662b94",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "from gettext import install\n",
+ "from logging import getLogger"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "71f985ab-ce47-4621-86c5-d4dc41a267d4",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "install(__name__)\n",
+ "logger = getLogger(__name__)\n",
+ "theme = Theme(\n",
+ " {\n",
+ " \"strong\": \"cyan underline\",\n",
+ " \"result\": \"red bold\",\n",
+ " \"error\": \"red underline bold\",\n",
+ " }\n",
+ ")\n",
+ "console = Console(theme=theme)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "3b5dbd67-3baa-4cba-a5a2-368d306735a5",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "C_DARK_FRINGE = 8e-3"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "d6999b95-7956-4d2a-a97e-93f3d12f5c74",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "%matplotlib ipympl\n",
+ "model_file = Path(\"model.kat\")\n",
+ "model = Model()\n",
+ "model.phase_config(zero_k00=False, zero_tem00_gouy=True)\n",
+ "model.modes(modes=\"off\") # pyright: ignore[reportUnusedCallResult]\n",
+ "model.parse(model_file.read_text())\n",
+ "model.lambda0 = model.get(\"wavelength\")\n",
+ "model.plot_graph() # pyright: ignore[reportUnusedCallResult]\n",
+ "show()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "d2b2ac68-0730-4f68-a4b1-ca036eadc880",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "result = model.run(\n",
+ " TemporaryParameters(\n",
+ " Series(\n",
+ " Change(\n",
+ " {\n",
+ " \"SR.misaligned\": True,\n",
+ " \"PR.misaligned\": True,\n",
+ " \"eom1.midx\": 0,\n",
+ " \"eom2.midx\": 0,\n",
+ " \"eom3.midx\": 0,\n",
+ " \"eom4.midx\": 0,\n",
+ " }\n",
+ " ),\n",
+ " Maximize(\n",
+ " model.get(\"NE_p1\"),\n",
+ " model.get(\"NORTH_ARM.DC\"),\n",
+ " bounds=[-180, 180],\n",
+ " tol=1e-14,\n",
+ " ),\n",
+ " Maximize(\n",
+ " model.get(\"WE_p1\"),\n",
+ " model.get(\"WEST_ARM.DC\"),\n",
+ " bounds=[-180, 180],\n",
+ " tol=1e-14,\n",
+ " ),\n",
+ " Minimize(\n",
+ " model.get(\"SR_p2\"), model.get(\"MICH.DC\"), bounds=[-180, 180], tol=1e-14\n",
+ " ),\n",
+ " Change(\n",
+ " {\n",
+ " \"PR.misaligned\": False,\n",
+ " }\n",
+ " ),\n",
+ " Maximize(\n",
+ " model.get(\"PR_p2\"), model.get(\"PRCL.DC\"), bounds=[-180, 180], tol=1e-14\n",
+ " ),\n",
+ " Change(\n",
+ " {\n",
+ " \"SR.misaligned\": False,\n",
+ " }\n",
+ " ),\n",
+ " Maximize(\n",
+ " model.get(\"B1_DC\"), model.get(\"SRCL.DC\"), bounds=[-180, 180], tol=1e-14\n",
+ " ),\n",
+ " Change(\n",
+ " {\n",
+ " \"SRCL.DC\": -90,\n",
+ " },\n",
+ " relative=True,\n",
+ " ),\n",
+ " ),\n",
+ " exclude=[\n",
+ " \"NE.phi\",\n",
+ " \"NI.phi\",\n",
+ " \"WE.phi\",\n",
+ " \"WI.phi\",\n",
+ " \"SR.phi\",\n",
+ " \"PR.phi\",\n",
+ " \"NORTH_ARM.DC\",\n",
+ " \"WEST_ARM.DC\",\n",
+ " \"DARM.DC\",\n",
+ " \"MICH.DC\",\n",
+ " \"PRCL.DC\",\n",
+ " \"SRCL.DC\",\n",
+ " \"SR.misaligned\",\n",
+ " \"eom1.midx\",\n",
+ " \"eom2.midx\",\n",
+ " \"eom3.midx\",\n",
+ " \"eom4.midx\",\n",
+ " ],\n",
+ " ),\n",
+ ")\n",
+ "model._settings.phase_config.zero_k00 = False\n",
+ "model.fsig.f = 1"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "7504821e-b33d-4396-b86c-06e90477eb8e",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "def compute_solutions(\n",
+ " model: Model, DOF: str, padding: float, nb: int = 10000\n",
+ ") -> SeriesSolution:\n",
+ " return model.run(\n",
+ " Xaxis(\n",
+ " model.get(DOF).DC,\n",
+ " \"lin\",\n",
+ " model.get(DOF).DC - padding,\n",
+ " model.get(DOF).DC + padding,\n",
+ " nb,\n",
+ " )\n",
+ " )\n",
+ "\n",
+ "\n",
+ "def display_ax(\n",
+ " ax: Axes,\n",
+ " solution: SeriesSolution,\n",
+ " model: Model,\n",
+ " DOF: str,\n",
+ " padding: float,\n",
+ " nb: int = 10000,\n",
+ ") -> Axes:\n",
+ " x = linspace(model.get(DOF).DC - padding, model.get(DOF).DC + padding, nb + 1)\n",
+ " _ = ax.semilogy(x, solution[\"SR_p2\"], label=\"dark fringe\")\n",
+ " _ = ax.semilogy(x, solution[\"NE_p1\"], label=\"north cavity\")\n",
+ " _ = ax.semilogy(x, solution[\"WE_p1\"], label=\"west cavity\")\n",
+ " _ = ax.vlines(\n",
+ " [model.get(DOF).DC],\n",
+ " min(solution[\"SR_p2\"]),\n",
+ " max(solution[\"NE_p1\"]),\n",
+ " colors=\"red\",\n",
+ " )\n",
+ " _ = ax.set_ylabel(\"power (W)\")\n",
+ " ax.grid()\n",
+ " _ = ax.legend()\n",
+ " return ax\n",
+ "\n",
+ "\n",
+ "class DisplayData(NamedTuple):\n",
+ " DOF: str\n",
+ " padding: float\n",
+ "\n",
+ "\n",
+ "data: list[DisplayData] = [\n",
+ " DisplayData(\"NORTH_ARM\", 10),\n",
+ " DisplayData(\"WEST_ARM\", 10),\n",
+ " DisplayData(\"PRCL\", 10),\n",
+ " DisplayData(\"MICH\", 10),\n",
+ " DisplayData(\"DARM\", 10),\n",
+ " DisplayData(\"CARM\", 10),\n",
+ "]\n",
+ "\n",
+ "Figure = figure(figsize=(13, 10))\n",
+ "nb = int(1e4)\n",
+ "\n",
+ "for i in range(len(data)):\n",
+ " element: DisplayData = data[i]\n",
+ " ax = Figure.add_subplot(3, 2, i + 1)\n",
+ " solution = compute_solutions(model, element.DOF, element.padding, nb)\n",
+ " _ = display_ax(ax, solution, model, element.DOF, element.padding, nb).set_xlabel(\n",
+ " \"{} value\".format(element.DOF)\n",
+ " )\n",
+ "show()\n",
+ "\n",
+ "solution = model.run(Noxaxis())\n",
+ "result = solution[\"B1_DC\"]\n",
+ "start, stop, nb = 0, 1, 0\n",
+ "while (abs(result - C_DARK_FRINGE) > 1e-4) and (nb < 100):\n",
+ " nb += 1\n",
+ " temp = start + (stop - start) / 2\n",
+ "\n",
+ " model.DARM.DC = temp\n",
+ " solution = model.run(Noxaxis())\n",
+ " result = solution[\"B1_DC\"]\n",
+ " if result > C_DARK_FRINGE:\n",
+ " stop = temp\n",
+ " else:\n",
+ " start = temp\n",
+ "console.print(\n",
+ " \"Degré de liberté [result]{dof}[/result] trouvé en [strong]{nb} pas[/strong] pour avoir une puissance de [result]{result} W[/result] sur B1\".format(\n",
+ " nb=nb, dof=model.DARM.DC, result=result\n",
+ " )\n",
+ ")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "3fbf07f1-22bc-445b-95ad-18a30adcc85d",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "def show_evolution(parameter: str, model: Model, values: NDArray[Any], TFs: list[str]):\n",
+ " model.SNEB.phi = model.NE.phi - 45\n",
+ " model.SWEB.phi = model.WE.phi - 45\n",
+ " model.SDB1.phi = model.SR.phi + 45\n",
+ "\n",
+ " if len(TFs) == 0:\n",
+ " console.print(\"[error]Nothing to show[/error]\")\n",
+ "\n",
+ " Figure = figure(figsize=(14, 5 * len(TFs)))\n",
+ " Figure.suptitle(\"TF in function of {}\".format(parameter))\n",
+ "\n",
+ " for i in range(len(TFs)):\n",
+ " _ = Figure.add_subplot(len(TFs), 1, i + 1)\n",
+ "\n",
+ " temp_value = model.get(parameter).eval()\n",
+ " for value in values:\n",
+ " index = 0\n",
+ " model.set(parameter, value)\n",
+ "\n",
+ " DARM = model.run(\n",
+ " FrequencyResponse(geomspace(5, 10000, 1000), [\"DARM\"], [\"B1.I\"])\n",
+ " )\n",
+ " for bench in [\"SNEB\", \"SWEB\", \"SDB1\"]:\n",
+ " if bench in TFs:\n",
+ " result = model.run(\n",
+ " FrequencyResponse(\n",
+ " geomspace(5, 10000, 1000), [\"{}_z\".format(bench)], [\"B1.I\"]\n",
+ " )\n",
+ " )\n",
+ " _ = Figure.get_axes()[index].set_title(bench)\n",
+ " _ = Figure.get_axes()[index].loglog(\n",
+ " result.f,\n",
+ " abs(result[\"B1.I\", \"{}_z\".format(bench)])\n",
+ " / abs(DARM[\"B1.I\", \"DARM\"])\n",
+ " / model.space_NI_NE.L.eval(),\n",
+ " label=\"{}\".format(value),\n",
+ " )\n",
+ "\n",
+ " index += 1\n",
+ " for i in range(len(TFs)):\n",
+ " _ = Figure.get_axes()[i].grid(True, \"both\", \"both\")\n",
+ " _ = Figure.get_axes()[i].legend()\n",
+ " show()\n",
+ " model.set(parameter, temp_value)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "b2b8bc8d-dd73-4a45-af9d-179b3f7a3c7f",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "show_evolution(\"NE.T\", model, geomspace(1e-7, 1e-3, 10), [\"SNEB\", \"SWEB\", \"SDB1\"])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "4a514ded-0777-41a7-82ce-380894d7be44",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "show_evolution(\"WE.T\", model, geomspace(1e-7, 1e-3, 10), [\"SWEB\"])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "5a7d30d4-4d9f-4715-a1d6-a0330e8450a7",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "show_evolution(\"SR.T\", model, linspace(0.30, 0.50, 10), [\"SDB1\"])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "c7dca854-5dff-483f-8a72-efaf0b80d87d",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "show_evolution(\"NI.T\", model, linspace(1.35e-2, 1.39e-2, 10), [\"SNEB\", \"SWEB\", \"SDB1\"])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "b31a0f43-0a07-44b4-9264-b5001350eb9d",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "show_evolution(\"WI.T\", model, linspace(1.35e-2, 1.39e-2, 10), [\"SNEB\", \"SWEB\", \"SDB1\"])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "27b2b8da-2334-4aaa-9e6b-537490598f9b",
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3 (ipykernel)",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.13.2"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/main.ipynb b/main.ipynb
index b8ae93c..eabd886 100644
--- a/main.ipynb
+++ b/main.ipynb
@@ -460,7 +460,7 @@
"model.SWEB.phi = model.WE.phi - 45\n",
"model.SDB1.phi = model.SR.phi + 45\n",
"\n",
- "B1_detector = \"B1_DDC.DC\"\n",
+ "B1_detector = \"B1.I\"\n",
"\n",
"quad_tf: dict[str, SeriesSolution] = dict()\n",
"in_tf: dict[str, SeriesSolution] = dict()\n",
@@ -528,7 +528,9 @@
"Figure = figure(figsize=(14, 5))\n",
"_ = Figure.suptitle(\"Comparaison du module des fonctions de transfert pour DARM\")\n",
"ax = Figure.add_subplot(1, 2, 1)\n",
- "_ = ax.loglog(quad_tf[\"DARM\"].f, abs(quad_tf[\"DARM\"][B1_detector, \"DARM\"]), label=\"Finesse\")\n",
+ "_ = ax.loglog(\n",
+ " quad_tf[\"DARM\"].f, abs(quad_tf[\"DARM\"][B1_detector, \"DARM\"]), label=\"Finesse\"\n",
+ ")\n",
"_ = ax.loglog(DARMcoupling.x, abs(DARMcoupling.y), label=\"Optickle\")\n",
"_ = ax.set_title(\"En quadrature de phase\")\n",
"_ = ax.legend()\n",
@@ -543,17 +545,29 @@
"Figure = figure(figsize=(14, 5))\n",
"_ = Figure.suptitle(\"Comparaison de la phase des fonctions de transfert pour DARM\")\n",
"ax = Figure.add_subplot(1, 2, 1)\n",
- "_ = ax.semilogx(quad_tf[\"DARM\"].f, angle(quad_tf[\"DARM\"][B1_detector, \"DARM\"]) * 180/pi, label=\"Finesse\")\n",
- "_ = ax.semilogx(DARMcoupling.x, angle(DARMcoupling.y) * 180/pi - 180, label=\"Optickle\")\n",
+ "_ = ax.semilogx(\n",
+ " quad_tf[\"DARM\"].f,\n",
+ " angle(quad_tf[\"DARM\"][B1_detector, \"DARM\"]) * 180 / pi,\n",
+ " label=\"Finesse\",\n",
+ ")\n",
+ "_ = ax.semilogx(\n",
+ " DARMcoupling.x, angle(DARMcoupling.y) * 180 / pi - 180, label=\"Optickle\"\n",
+ ")\n",
"_ = ax.set_title(\"En quadrature de phase\")\n",
- "_ = ax.hlines([-45], min(quad_tf[\"DARM\"].f), max(quad_tf[\"DARM\"].f), colors = 'red')\n",
+ "_ = ax.hlines([-45], min(quad_tf[\"DARM\"].f), max(quad_tf[\"DARM\"].f), colors=\"red\")\n",
"_ = ax.legend()\n",
"ax.grid(True, \"both\", \"both\")\n",
"ax = Figure.add_subplot(1, 2, 2)\n",
- "_ = ax.semilogx(in_tf[\"DARM\"].f, angle(in_tf[\"DARM\"][B1_detector, \"DARM\"]) * 180/pi, label=\"Finesse\")\n",
- "_ = ax.semilogx(DARMcoupling.x, angle(DARMcoupling.y) * 180/pi - 180, label=\"Optickle\")\n",
+ "_ = ax.semilogx(\n",
+ " in_tf[\"DARM\"].f,\n",
+ " angle(in_tf[\"DARM\"][B1_detector, \"DARM\"]) * 180 / pi,\n",
+ " label=\"Finesse\",\n",
+ ")\n",
+ "_ = ax.semilogx(\n",
+ " DARMcoupling.x, angle(DARMcoupling.y) * 180 / pi - 180, label=\"Optickle\"\n",
+ ")\n",
"_ = ax.set_title(\"En phase\")\n",
- "_ = ax.hlines([-45], min(quad_tf[\"DARM\"].f), max(quad_tf[\"DARM\"].f), colors = 'red')\n",
+ "_ = ax.hlines([-45], min(quad_tf[\"DARM\"].f), max(quad_tf[\"DARM\"].f), colors=\"red\")\n",
"_ = ax.legend()\n",
"ax.grid(True, \"both\", \"both\")\n",
"\n",
diff --git a/model.kat b/model.kat
index 264a8f1..73da29d 100644
--- a/model.kat
+++ b/model.kat
@@ -138,7 +138,6 @@ cavity SRCL_north SR.p1.o via=WE.p1.i priority=1
cavity SRCL_west SR.p1.o via=WE.p1.i priority=1
readout_rf B1 SDB1.p2.o output_detectors=True f=0
-readout_dc B1_DDC SDB1.p2.o output_detectors=False
# benches