mirror of
https://github.com/c-sooyoung/lemon-sandbox.git
synced 2026-11-16 04:07:59 +09:00
changes to how to count safe indices
This commit is contained in:
swim committed
1 parent
5def8d7465
commit
64134dd468
1 file changed
+79
-108
@@ -2,7 +2,7 @@
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 2,
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"execution_count": 1,
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"id": "11108e19",
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"metadata": {},
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"outputs": [],
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@@ -24,7 +24,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"execution_count": 2,
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"id": "e3adee3c",
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"metadata": {},
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"outputs": [],
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@@ -56,7 +56,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"execution_count": 3,
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"id": "89b917f7",
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"metadata": {},
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"outputs": [],
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@@ -70,7 +70,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 4,
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"id": "8a9f200f",
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"metadata": {},
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"outputs": [],
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@@ -90,7 +90,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 5,
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"id": "9db949e0",
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"metadata": {},
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"outputs": [],
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@@ -110,14 +110,14 @@
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},
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{
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"cell_type": "code",
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"execution_count": 15,
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"execution_count": 6,
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"id": "93d22d50",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"application/vnd.jupyter.widget-view+json": {
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"model_id": "1b9feef9fb2b408881559cd3f4430bb9",
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"model_id": "9d54fafc597347119c225c24eb731076",
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"version_major": 2,
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"version_minor": 0
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},
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@@ -131,7 +131,7 @@
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{
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"data": {
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"application/vnd.jupyter.widget-view+json": {
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"model_id": "2eb5e771356d488891678143ebe69915",
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"model_id": "b561ede19f62460fa669ec907654950d",
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"version_major": 2,
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"version_minor": 0
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},
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@@ -145,7 +145,7 @@
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{
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"data": {
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"application/vnd.jupyter.widget-view+json": {
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"model_id": "6e57669164d44636ac7b8cedfc5dff35",
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"model_id": "8f3d3bee51f441b8aa77c2e96ac55bb5",
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"version_major": 2,
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"version_minor": 0
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},
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@@ -184,18 +184,11 @@
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"metadata": {},
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"outputs": [],
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"source": [
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"def double_erf(x, p0, p1, q, x0, x1):\n",
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" return p0 + p1 * (erf(q*(x - x0)) - erf(q*(x - x1)))"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "35484b47",
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"metadata": {},
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"outputs": [],
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"source": [
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"\n"
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"# def double_erf(x, p, q, x0, x1):\n",
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"# return p * (erf(q*(x - x0)) - erf(q*(x - x1)))\n",
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"\n",
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"def double_erf_plus_const(x, p0, p1, q, x0, x1):\n",
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" return p0 + double_erf(x, p1, q, x0, x1)"
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]
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},
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{
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@@ -207,7 +200,7 @@
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{
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"data": {
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"application/vnd.jupyter.widget-view+json": {
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"model_id": "58f7012f541d4c95a157b0e3baadb1dd",
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"model_id": "6885a55998954f73ba1679a126d1e2a7",
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"version_major": 2,
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"version_minor": 0
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},
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@@ -221,7 +214,7 @@
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{
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"data": {
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"application/vnd.jupyter.widget-view+json": {
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"model_id": "513a59d835fb42c5b28d29b9d518a7ae",
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"model_id": "91a8c86ee2d140aba9d5c25fe7b2daa2",
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"version_major": 2,
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"version_minor": 0
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},
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@@ -235,7 +228,7 @@
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{
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"data": {
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"application/vnd.jupyter.widget-view+json": {
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"model_id": "5a1030bbee5d4f4b84b65de67d110699",
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"model_id": "5bbbe03877cc465f814565e32d8b79f1",
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"version_major": 2,
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"version_minor": 0
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},
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@@ -249,6 +242,7 @@
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],
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"source": [
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"crystalline_heights = {}\n",
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"crystalline_height_errs = {}\n",
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"safe_height_indices = {}\n",
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"\n",
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"for key in results.keys():\n",
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@@ -257,30 +251,34 @@
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" dz = DZ[key]\n",
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"\n",
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" crystalline = []\n",
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" crystalline_err = []\n",
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"\n",
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" for column in tqdm(columns):\n",
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" popt, _, _ = fit(\n",
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" double_erf, np.arange(len(column)), column, plot=False,\n",
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" popt, perr, _ = fit(\n",
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" double_erf_plus_const, np.arange(len(column)), column, plot=False,\n",
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" p0=[-0.03846732, 0.28181914, 0.30406586, 3.74047066, 12.6762897 ],\n",
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" # bounds=bounds,\n",
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" maxfev=10000\n",
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" )\n",
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" p0, p1, q, x0, x1 = popt\n",
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" dp0, dp1, dq, dx0, dx1 = perr\n",
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"\n",
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" crystalline.append((x1 - x0) * dz)\n",
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" crystalline_err.append(dz * (dx0 + dx1) / 2)\n",
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"\n",
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" crystalline_heights.update({key: np.array(crystalline)})"
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" crystalline_heights.update({key: np.array(crystalline)})\n",
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" crystalline_height_errs.update({key: np.array(crystalline_err)})"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 144,
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"execution_count": 16,
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"id": "6af86cf4",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"image/png": 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truncated
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"image/png": 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truncated
|
||||
"text/plain": [
|
||||
"<Figure size 640x480 with 1 Axes>"
|
||||
]
|
||||
@@ -292,12 +290,12 @@
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"245.0 55.8145049307754\n"
|
||||
"245.0 41.877254010069706\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"image/png": 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truncated
|
||||
"image/png": 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truncated
|
||||
"text/plain": [
|
||||
"<Figure size 640x480 with 1 Axes>"
|
||||
]
|
||||
@@ -309,12 +307,12 @@
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"281.0 89.54863642387284\n"
|
||||
"281.0 64.3051954434194\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"image/png": 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truncated
|
||||
"image/png": "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 truncated
|
||||
"text/plain": [
|
||||
"<Figure size 640x480 with 1 Axes>"
|
||||
]
|
||||
@@ -326,25 +324,29 @@
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"336.0 99.64506469888937\n"
|
||||
"336.0 74.10726414958422\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"for key in results.keys():\n",
|
||||
" crystalline = crystalline_heights[key]\n",
|
||||
" crystalline_err = crystalline_height_errs[key]\n",
|
||||
" sorted_heights = np.sort(crystalline)\n",
|
||||
"\n",
|
||||
" ymin = sorted_heights[1 * len(sorted_heights) // 20]\n",
|
||||
" ymax = sorted_heights[19 * len(sorted_heights) // 20]\n",
|
||||
"\n",
|
||||
" plt.plot(sorted_heights, 'k.')\n",
|
||||
" xlim = plt.xlim(0, len(crystalline))\n",
|
||||
" ylim = plt.ylim(ymin, ymax)\n",
|
||||
" plt.show()\n",
|
||||
" safe_height_index = np.where(\n",
|
||||
" (crystalline > ymin) & (crystalline < ymax)\n",
|
||||
" # (crystalline > ymin) & (crystalline < ymax)\n",
|
||||
" crystalline_err < crystalline / 10\n",
|
||||
" )\n",
|
||||
"\n",
|
||||
" # ymin = sorted_heights[1 * len(sorted_heights) // 20]\n",
|
||||
" # ymax = sorted_heights[19 * len(sorted_heights) // 20]\n",
|
||||
"\n",
|
||||
" plt.plot(sorted_heights[safe_height_index], 'k.')\n",
|
||||
" # xlim = plt.xlim(0, len(crystalline))\n",
|
||||
" # ylim = plt.ylim(ymin, ymax)\n",
|
||||
" plt.show()\n",
|
||||
"\n",
|
||||
" safe_height_indices.update({key: safe_height_index})\n",
|
||||
"\n",
|
||||
" total_thickness = recons[key].shape[-1] * DZ[key]\n",
|
||||
@@ -354,7 +356,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 145,
|
||||
"execution_count": 17,
|
||||
"id": "8cfc6801",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
@@ -383,71 +385,40 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 146,
|
||||
"execution_count": 19,
|
||||
"id": "9f30bf4b",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"image/png": 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truncated
|
||||
"text/plain": [
|
||||
"<Figure size 640x480 with 2 Axes>"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"image/png": 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truncated
|
||||
"text/plain": [
|
||||
"<Figure size 640x480 with 2 Axes>"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"image/png": 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truncated
|
||||
"text/plain": [
|
||||
"<Figure size 640x480 with 2 Axes>"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
}
|
||||
],
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"thickness_rois = {\n",
|
||||
" '2V': [[214, 358], [214, 358]],\n",
|
||||
" '5V': [[217, 362], [ 72, 217]],\n",
|
||||
" '8V': [[217, 363], [ 72, 217]]\n",
|
||||
"}\n",
|
||||
"for key in results.keys():\n",
|
||||
"# for key in results.keys():\n",
|
||||
"\n",
|
||||
" recon = recons[key]\n",
|
||||
" heights = crystalline_heights[key]\n",
|
||||
" c0 = column_positions[key]\n",
|
||||
" idx = safe_height_indices[key]\n",
|
||||
" dz = DZ[key]\n",
|
||||
"# recon = recons[key]\n",
|
||||
"# heights = crystalline_heights[key]\n",
|
||||
"# c0 = column_positions[key]\n",
|
||||
"# idx = safe_height_indices[key]\n",
|
||||
"# dz = DZ[key]\n",
|
||||
"\n",
|
||||
" plt.imshow(np.angle(recon).sum(axis=-1), cmap='gray')\n",
|
||||
" # plt.axis('off')\n",
|
||||
" plt.scatter(\n",
|
||||
" c0[:, 1][idx], c0[:, 0][idx], c=np.array(heights[idx]), s=8, cmap='magma_r',\n",
|
||||
" )\n",
|
||||
" cbar = plt.colorbar()\n",
|
||||
"# plt.imshow(np.angle(recon).sum(axis=-1), cmap='gray')\n",
|
||||
"# # plt.axis('off')\n",
|
||||
"# plt.scatter(\n",
|
||||
"# c0[:, 1][idx], c0[:, 0][idx], c=np.array(heights[idx]), s=8, cmap='magma_r',\n",
|
||||
"# )\n",
|
||||
"# cbar = plt.colorbar()\n",
|
||||
"\n",
|
||||
" (x0, x1), (y0, y1) = thickness_rois[key]\n",
|
||||
" plt.plot([x0, x0, x1, x1, x0], [y0, y1, y1, y0, y0], lw=3)\n",
|
||||
"# (x0, x1), (y0, y1) = thickness_rois[key]\n",
|
||||
"# plt.plot([x0, x0, x1, x1, x0], [y0, y1, y1, y0, y0], lw=3)\n",
|
||||
"\n",
|
||||
" plt.show()\n"
|
||||
"# plt.show()\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 147,
|
||||
"execution_count": 20,
|
||||
"id": "8f03ee83",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
@@ -467,7 +438,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 148,
|
||||
"execution_count": 21,
|
||||
"id": "45bba998",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
@@ -500,7 +471,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 158,
|
||||
"execution_count": 22,
|
||||
"id": "ddbd2457",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
@@ -519,7 +490,7 @@
|
||||
" 1244, 1275, 1291])"
|
||||
]
|
||||
},
|
||||
"execution_count": 158,
|
||||
"execution_count": 22,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
@@ -530,7 +501,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 161,
|
||||
"execution_count": 23,
|
||||
"id": "d0926668",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
@@ -539,14 +510,14 @@
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"2V\n",
|
||||
"Crystalline thickness: 136.780 ± 21.382\n",
|
||||
"Amorphous thickness: 54.110 ± 10.691\n",
|
||||
"(# of counted columns = 85/102)\n"
|
||||
"Crystalline thickness: 165.816 ± 13.289\n",
|
||||
"Amorphous thickness: 39.592 ± 6.645\n",
|
||||
"(# of counted columns = 83/102)\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"image/png": 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truncated
|
||||
"image/png": 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truncated
|
||||
"text/plain": [
|
||||
"<Figure size 640x480 with 1 Axes>"
|
||||
]
|
||||
@@ -559,14 +530,14 @@
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"5V\n",
|
||||
"Crystalline thickness: 103.381 ± 18.827\n",
|
||||
"Amorphous thickness: 88.810 ± 9.414\n",
|
||||
"(# of counted columns = 105/106)\n"
|
||||
"Crystalline thickness: 154.896 ± 11.639\n",
|
||||
"Amorphous thickness: 63.052 ± 5.820\n",
|
||||
"(# of counted columns = 106/106)\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"image/png": 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truncated
|
||||
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truncated
|
||||
"text/plain": [
|
||||
"<Figure size 640x480 with 1 Axes>"
|
||||
]
|
||||
@@ -579,14 +550,14 @@
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"8V\n",
|
||||
"Crystalline thickness: 141.043 ± 19.590\n",
|
||||
"Amorphous thickness: 97.479 ± 9.795\n",
|
||||
"(# of counted columns = 110/118)\n"
|
||||
"Crystalline thickness: 192.238 ± 13.491\n",
|
||||
"Amorphous thickness: 71.881 ± 6.745\n",
|
||||
"(# of counted columns = 118/118)\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"image/png": 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truncated
|
||||
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truncated
|
||||
"text/plain": [
|
||||
"<Figure size 640x480 with 1 Axes>"
|
||||
]
|
||||
|
||||
Reference in new issue
Block a user