{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "## 8. Ablakolt Fourier-transzformációs módszer, WFTMethod\n", "\n", "\n", "Ezt az eljárást szimulált interferogramon mutatom be. Példaként generálok egyet:" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", "import matplotlib.pyplot as plt\n", "import pysprint as ps" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "g = ps.Generator(1, 4, 2.5, delay=900, GDD=400, FOD=40000, pulse_width=3, resolution=0.05)\n", "g.generate()\n", "\n", "mywft = ps.WFTMethod(*g.data)\n", "mywft.plot()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Ablakfüggvény sorozatot adok hozzá az interferogramhoz:" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "mywft.add_window_linspace(2.2, 3.1, 1000, fwhm=0.04, order=2)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**FONTOS!** \n", "\n", "Ha a fenti `add_window_linspace` lefutott, akkor az ablakfüggvény sorozat már hozzáadódott az interferogramhoz. Ha később megváltoztatnánk bármelyik paraméterét (pl. inkább más `fwhm`-ot szeretnénk beállítani), akkor az előző ablakfüggvények is megmaradak. Emiatt ajánlott a fenti cellát a következőképpen használni:" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "# az összes hozzáadott ablakfüggvény eltávolítása függetlenül attól, hogy korábban voltak-e\n", "mywft.remove_all_windows()\n", "\n", "# ezután adom hozzá az ablakfüggvény sorozatot\n", "mywft.add_window_linspace(2.2, 3.1, 1000, fwhm=0.05, order=2)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Az aktuálisan hozzáadott ablakfüggvényeket a `WFTMethod.windows` paraméterrel érjük el, ami egy `dictionary`-t ad vissza, amelyben a *key* az ablakfüggvény központi helye, a hozzá tartozó *value* pedig maga az ablakfüggvény reprezentációja (`ps.core.window.GaussianWindow`). Az interferogram teljes tartományát a `cover(N, **kwargs)` függvénnyel gyorsabban is elvégezhetjük." ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "1000" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "len(mywft.windows)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Ablakfüggvényt törölni a `remove_window_at(center)` függvénnyel lehetséges. Ennek az ablakfüggvény központi helyét kell megadni. Ha nincs olyan ablakfüggvény, akkor a hibaüzenetben segítséget nyújt: kiiírja a legközelebbi ablakfüggvényt. Ablakfüggvény intervallum törléséhez a `remove_window_interval(start, stop)` függvény használható." ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "ename": "ValueError", "evalue": "There is no window with center 2.25. Did you mean 2.24954954954955?", "output_type": "error", "traceback": [ "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[1;31mValueError\u001b[0m Traceback (most recent call last)", "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mmywft\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mremove_window_at\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m2.25\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m", "\u001b[1;32mc:\\pyt\\pysprint\\pysprint\\utils\\decorators.py\u001b[0m in \u001b[0;36mwrapper\u001b[1;34m(self, *args, **kwds)\u001b[0m\n\u001b[0;32m 79\u001b[0m \u001b[0minplace\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mkwds\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mpop\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"inplace\"\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;32mTrue\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 80\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0minplace\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 81\u001b[1;33m \u001b[0mmethod\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwds\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 82\u001b[0m \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 83\u001b[0m \u001b[0mnew_ds\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mmethod\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcopy\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwds\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", "\u001b[1;32mc:\\pyt\\pysprint\\pysprint\\core\\methods\\wft.py\u001b[0m in \u001b[0;36mremove_window_at\u001b[1;34m(self, center)\u001b[0m\n\u001b[0;32m 229\u001b[0m )\n\u001b[0;32m 230\u001b[0m raise ValueError(\n\u001b[1;32m--> 231\u001b[1;33m \u001b[1;34mf\"There is no window with center {center}. \"\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 232\u001b[0m \u001b[1;34mf\"Did you mean {c[0]}?\"\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 233\u001b[0m )\n", "\u001b[1;31mValueError\u001b[0m: There is no window with center 2.25. Did you mean 2.24954954954955?" ] } ], "source": [ "mywft.remove_window_at(2.25)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Mivel ez a módszer ún. [*embarrassingly parallel*](https://en.wikipedia.org/wiki/Embarrassingly_parallel) számítás, ezért lehetőség van több szálon futtatni a kiértékelést. \n", "Ehhez a [*Dask*](https://dask.org/) csomagnak telepítve kell lennie (Anaconda-ban alapértelmezetten benne van). Ezt a `parallel` argumentummal szabályozhatjuk. A többszálas futás általában 50-70% gyorsulást eredményez a single-core módhoz képest. A kiértékelést most `parallel=True` módon fogom futtatni:" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[########################################] | 100% Completed | 9.2s\n", "Skipped: 0\n" ] }, { "data": { "text/latex": [ "$\\displaystyle GD = 900.08387 ± 0.00000 fs^1$" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/latex": [ "$\\displaystyle GDD = 403.62065 ± 0.16697 fs^2$" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/latex": [ "$\\displaystyle TOD = -12.15155 ± 1.64768 fs^3$" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/latex": [ "$\\displaystyle FOD = 39635.98988 ± 9.79493 fs^4$" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "mywft.calculate(reference_point=2.5, order=4, fastmath=False, parallel=True);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "A fenti `calculate` függvény ha már egyszer lefutott és megpróbáljuk újra lefuttatni más referencia ponttal vagy más illesztési renddel, akkor a gyorsítótárazás miatt azok már azonnal végrehajtódnak (csak az illesztést számolja újra)." ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "mywft.errorplot(percent=True)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Példa tetszőleges plotok készítésére:" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "c:\\pyt\\pysprint\\pysprint\\core\\methods\\wft.py:181: PySprintWarning: Image seems crowded, displaying only a subsample of the given windows.\n", " PySprintWarning\n", "[ legend.py:1193 - _parse_legend_args() ] No handles with labels found to put in legend.\n" ] }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2, 2, figsize=(13, 11))\n", "\n", "mywft.plot(ax=ax1)\n", "ax1.set(title=\"Eredeti ifg\")\n", "\n", "mywft.view_windows(ax=ax2, maxsize=200, alpha=0.3)\n", "ax2.set(title=\"Eredeti ifg ablakfüggvényekkel\")\n", "\n", "mywft.heatmap(ax=ax3, include_ridge=True)\n", "ax3.set(title=\"Contourplot\");\n", "\n", "mywft.errorplot(ax=ax4, percent=True)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Egy másik szimulált interferogram kiértékelését most `parallel=False` módon fogom elvégezni, és csak a `build_GD` függvényt használom, amivel a *GD* görbét kapom vissza (`ps.core.phase.Phase`)." ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [], "source": [ "f = ps.Generator(1, 4, 2.5, delay=1900, GDD=-600, TOD=4000, pulse_width=3, resolution=0.05)\n", "f.generate()\n", "\n", "mywft2 = ps.WFTMethod(*f.data)" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [], "source": [ "mywft2.add_window_arange(1.5, 3.5, 0.01, std=0.04)" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Progress : [==============================] 100% (Skipped: 0)" ] } ], "source": [ "GD_gorbe = mywft2.build_GD()" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "GD_gorbe.plot()" ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [ { "data": { "text/latex": [ "$\\displaystyle GD = 1900.46537 ± 0.00000 fs^1$" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/latex": [ "$\\displaystyle GDD = -598.18253 ± 0.10200 fs^2$" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/latex": [ "$\\displaystyle TOD = 3973.73704 ± 0.39501 fs^3$" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "GD_gorbe.fit(reference_point=2.5, order=3);" ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "GD_gorbe.errorplot(percent=True)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "A `fastmath` opciót itt nem adtam meg. Ez alapértelmezetten `True`, ilyenkor a `heatmap` nem hívható, mivel ekkor az ahhoz szükséges adatokat nem építi fel a program." ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [ { "ename": "ValueError", "evalue": "You need to recalculate with `fastmath=False` to plot the heatmap.", "output_type": "error", "traceback": [ "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[1;31mValueError\u001b[0m Traceback (most recent call last)", "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mmywft2\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mheatmap\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m", "\u001b[1;32mc:\\pyt\\pysprint\\pysprint\\core\\methods\\wft.py\u001b[0m in \u001b[0;36mheatmap\u001b[1;34m(self, ax, levels, cmap, include_ridge)\u001b[0m\n\u001b[0;32m 587\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfastmath\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 588\u001b[0m raise ValueError(\n\u001b[1;32m--> 589\u001b[1;33m \u001b[1;34m\"You need to recalculate with `fastmath=False` to plot the heatmap.\"\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 590\u001b[0m )\n\u001b[0;32m 591\u001b[0m \u001b[1;31m# Only construct if we need to..\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", "\u001b[1;31mValueError\u001b[0m: You need to recalculate with `fastmath=False` to plot the heatmap." ] } ], "source": [ "mywft2.heatmap()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Néhány hiányosság: \n", "\n", "* A gerincvonalat a program automatikusan keresi meg, jelenleg még nincs lehetőség manuálisan állítani. Ez jól működik szimulált példákon, viszont rosszul is teljesíthet valós mérések esetén. Jelenleg ez a része a programnak fejlesztés alatt van (manuális állítás, különböző filterezése a detektált gerincvonalnak, pl. moving avarage validation.)\n", "\n", "\n", "* Csak egyetlen egy gerincvonalat keres meg, így nem alkalmas pl. kettősen törő optikai szálak esetén, amikor mindkét polarizációs tengelye mentén terjedő módus egyidejűleg gerjesztve van. Szintén fejlesztés alatt van.\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 8.1 Saját ablakfüggvény használata\n", "\n", "A program alapbeállításként Gauss ablakfüggvényeket használ, azonban néhány módosítással akár tetszőleges ablakfüggvényt is használhatunk. Tekintsünk most egy Mexican hat waveletet (vagy Ricker waveletet). Ez a következő alakú:\n", "\n", "$A \\cdot (1 - (\\frac{x-x_0}{a})^2) \\cdot e^{-0.5\\cdot(\\frac{x-x_0}{a})^2}$, ahol \n", "$A = \\frac{2}{\\sqrt{3a}\\cdot\\pi^{0.25}}$\n", "\n", "A továbbiakban ezt a waveletet fogjuk példaként használni. Az első lépés a szükséges eszközök importálása. Itt két dologra van szükségünk, a `numpy` a numerikus rutinokra, illetve a `WindowBase` osztályra, amely a `pysprint.core.window` útvonalon érhető el." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "```python\n", "import numpy as np\n", "from pysprint.core.window import WindowBase\n", "```" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Minden ablakfüggvényt a `WindowBase` alosztályaként kell definiálni. Az `__init__` szignatúrájában két kötelező argumentum van: `x` és `center`. Az `x` az adott interferogram x tengelyéből kerül a számítás közben megállításra. A `center` egy egyedi azonosítója az adott ablakfüggvénynek (pl. Gauss függvényeknél a maximum helye, a fenti waveletnél ezt $x_0$-val jelöltük). Minden osztály első argumentuma `self`, ezután definiáljuk a kötelező argumentumokat. Eddig ez így fest:\n", "\n", "```python\n", "import numpy as np\n", "from pysprint.core.window import WindowBase\n", "\n", "class MexicanHat(WindowBase):\n", " def __init__(self, x, center):\n", "```\n", "\n", "A wavelethez azonban kell egy másik paraméter is, ez az `a`. Minden használt paramétert meg kell adnunk az `__init__` metódusnak, így ezt is adjuk meg. A `self` kivételével az összes argumentumot az osztályhoz kell \"kötni\", hogy a további metódusokban is elérhetőek maradjanak. Tegyük meg:\n", "\n", "```python\n", "import numpy as np\n", "from pysprint.core.window import WindowBase\n", "\n", "class MexicanHat(WindowBase):\n", " def __init__(self, x, center, a):\n", " # a megadott paraméterek összekötése az osztállyal\n", " self.x = x\n", " self.center = center\n", " self.a = a\n", "```\n", "Természetesen alapértékeket is adhatuk az általunk használt paramétereknek (itt csak az `a`-nak), így számítás közben azokat használja majd a szoftver.\n", "Esetünkben az `A` paraméter az `a` paraméterből számított, így arra az `__init__` metódusban nincs szükségünk. *Megjegyzés: Az* `__init__` *metódusban ne végezzük számolást, csak a paraméterek inicializálását. Bár ez nem szigorú szabály, mégis a számolásokat a legtöbbször meggyorsítja.*\n", "\n", "A következő lépés, hogy definiáljuk hogyan számolhatóak ki az ablakfüggvény értékei. Ez egy ún. `property` lesz, amihez a decorator szintaxist használjuk. Ne aggódjunk, ennek megértése nem fontos és nem szükséges, tekintsünk rá úgy, mint recept. A megfelelő függvényt mindig nevezzük `y`-nak, amely egyetlen argumentumot fogad el, a `self`-et. A függvény testébe a matematikai formulákat és egyéb logikát írjuk, ami megmondja hogyan számoljuk ki az ablakfüggvény értékeit. Emlékezzünk vissza, az `__init__`-ben megadott paramétereket elérhetjük itt is! A fenti wavelet formuláját beírva kapjuk:\n", "```python\n", "@property\n", "def y(self):\n", " # kiszámoljuk A-t\n", " A = 2 / (np.sqrt(3 * self.a) * (np.pi ** 0.25))\n", " # kiszámítjuk a formulából az értékeket\n", " ys = A * (1 - ((self.x - self.center) / self.a) ** 2) * np.exp(-0.5 * ((self.x - self.center) / self.a) ** 2)\n", " # visszaadjuk a kiszámított értékeket\n", " return ys\n", "```\n", "Összerakva az egészet:" ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", "from pysprint.core.window import WindowBase\n", "\n", "class MexicanHat(WindowBase):\n", " def __init__(self, x, center, a):\n", " self.x = x\n", " self.center = center\n", " self.a = a\n", "\n", " @property\n", " def y(self):\n", " A = 2 / (np.sqrt(3 * self.a) * (np.pi ** 0.25))\n", " ys = A * (1 - ((self.x - self.center) / self.a) ** 2) * np.exp(-0.5 * ((self.x - self.center) / self.a) ** 2)\n", " return ys\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Ezen a ponton minden szükséges részletet megadtunk ahhoz, hogy a program használni tudja a MexicanHat ablakfüggvényt. Előtte azonban ellenőrizzük le, hogy valóban helyes-e a definíció. Minden `WindowBase` leszármazott osztálynak van `plot` metódusa. Próbáljuk ki azt!" ] }, { "cell_type": "code", "execution_count": 22, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "hat = MexicanHat(x=np.linspace(-10, 10, 500), center=0, a=2)\n", "hat.plot()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Ez úgy tűnik helyesen adta vissza a kívánt ablakfüggvényt. Használjuk az Ablakot Fourier-transzformációs kiértékeléshez! A korábbiakkal teljesen analóg a számolás menete, egyetlen változtatás, hogy a `window_class` argumentumnak meg kell adnunk az általunk definiált `MexicanHat` osztályt." ] }, { "cell_type": "code", "execution_count": 23, "metadata": {}, "outputs": [], "source": [ "g = ps.Generator(1, 4, 2.5, delay=900, GDD=400, FOD=40000, pulse_width=3, resolution=0.05)\n", "g.generate()\n", "\n", "custom_wft = ps.WFTMethod(g.x, g.y, window_class=MexicanHat)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Futtassuk a szokásos lépéseket: adjunk hozzá ablakfüggvény-sorozatot, futtassuk a kiértékelést." ] }, { "cell_type": "code", "execution_count": 24, "metadata": {}, "outputs": [], "source": [ "custom_wft.add_window_linspace(2.2, 3, 500, a=0.01)" ] }, { "cell_type": "code", "execution_count": 25, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[########################################] | 100% Completed | 5.0s\n", "Skipped: 0\n", "Running RANSAC-filter..\n", "Values dropped: 52 (10.40000 % of total)\n" ] }, { "data": { "text/latex": [ "$\\displaystyle GD = 1041.15136 ± 0.00000 fs^1$" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/latex": [ "$\\displaystyle GDD = 399.07863 ± 0.37372 fs^2$" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/latex": [ "$\\displaystyle TOD = 90.69524 ± 2.41581 fs^3$" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/latex": [ "$\\displaystyle FOD = 40393.82697 ± 28.69985 fs^4$" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "custom_wft.calculate(2.5, 4, fastmath=False, parallel=True, ransac=True);" ] }, { "cell_type": "code", "execution_count": 26, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "custom_wft.heatmap()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 8.2 Egy teljes példa\n", "\n", "A következőkben egy rossz minőségű interferogramon bemutatom hogyan hozható ki belőle a maximális mennyiségű értékes információ. Töltsük be és vizsgáljuk meg!" ] }, { "cell_type": "code", "execution_count": 88, "metadata": {}, "outputs": [], "source": [ "poor_ifg = ps.WFTMethod.parse_raw('datasets/ifg_poor.trt',\n", " skiprows=8,\n", " decimal=\",\",\n", " sep=\";\",\n", " meta_len=6)\n", "poor_ifg.chdomain()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Megjegyzendő, hogy a betöltéssel azonos cellába tettem a tartományváltást, hogy biztosan ne futtassuk le többször az adott interferogramon." ] }, { "cell_type": "code", "execution_count": 89, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "poor_ifg.plot()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Az első dolgunk, hogy eldöntsük milyen ablakfüggvény-sorozatot állítunk be. Itt egy rövidítést fogok használni, a `cover` függvényt, amely a teljes tartományt egyenközű módon fogja az ablakfüggvényekket kitölteni." ] }, { "cell_type": "code", "execution_count": 90, "metadata": {}, "outputs": [], "source": [ "poor_ifg.cover(\n", " N=500, # db ablakfüggvény\n", " fwhm=0.05, # PHz az ablakfüggvény félértékszélessége\n", " order=2, # normál Gauss-függvény\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Arra számítunk, hogy azonnali futás után nem adódik jó eredmény, a kapott GD görbén még dolgoznunk kell. Ehhez használjuk a `build_GD` függvényt." ] }, { "cell_type": "code", "execution_count": 91, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[########################################] | 100% Completed | 1.0s\n", "Skipped: 85\n" ] } ], "source": [ "gd = poor_ifg.build_GD(fastmath=False, parallel=True)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Vizsgáljuk meg az eredményül kapott csoportkésleltetés görbét:" ] }, { "cell_type": "code", "execution_count": 92, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "gd.plot()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Evidens, hogy a hasznos rész a 1.8 és 3.5 PHz közötti tartomány. Ezt vágjuk ki:" ] }, { "cell_type": "code", "execution_count": 93, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "gd.slice(1.8, 3.5)\n", "gd.plot()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "A grafikon alapján rossznak tűnhet a helyzet, de a függőleges koordináta nagyságrendben különbözik az előző ábrától. Ezen a ponton illeszthetnénk is, de van még további mód a javításra. Használjuk az ún. [RANSAC](https://en.wikipedia.org/wiki/Random_sample_consensus) szűrést. Az algoritmus leírása túlmutat ezen oldal feladatán, a megadott linken olvashatunk róla. A `gd` objektumon a `ransac_filter` függvénnyel, illetve az `apply_filter` függvénnyel használható. Ugyan elsőrendű függvény várunk, mégis valamilyen kis nemzéró maradék diszperziója az üres spektrométernek is lehet. Emiatt a szűrést legalább másodrendben kell végeznünk, hogy a valódi zajt távolítsuk el, és ne a spektrométerre jellemző sajátosságokat." ] }, { "cell_type": "code", "execution_count": 94, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "gd.ransac_filter(order=2, plot=True, residual_threshold=0.4)\n", "plt.legend();" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Ezzel intelligens módon kiszűrtük a zaj legnagyobb részét a csoportkésleltetés görbéből. Innen már nincs más dolgunk, mint alkalmazni a szűrőt, majd függvényt illeszteni és kiszámolni az együtthatókat." ] }, { "cell_type": "code", "execution_count": 95, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Values dropped: 123 (52.78970 % of total)\n" ] } ], "source": [ "gd.apply_filter()" ] }, { "cell_type": "code", "execution_count": 96, "metadata": {}, "outputs": [ { "data": { "text/latex": [ "$\\displaystyle GD = 335.07689 ± 0.00000 fs^1$" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/latex": [ "$\\displaystyle GDD = 0.74902 ± 0.25502 fs^2$" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/latex": [ "$\\displaystyle TOD = -2.23651 ± 0.72059 fs^3$" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "gd.fit(reference_point=2.355, order=3);" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "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": "3.9.4" } }, "nbformat": 4, "nbformat_minor": 4 }