mirror of
https://github.com/c-sooyoung/lemon-sandbox.git
synced 2026-11-16 04:07:59 +09:00
added 30keV sample
This commit is contained in:
swim committed
1 parent
64134dd468
commit
1bcb9014dd
1 file changed
+145
-214
@@ -17,7 +17,6 @@
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"from scipy.ndimage import gaussian_filter\n",
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"from scipy.ndimage import gaussian_filter\n",
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"from scipy.optimize import curve_fit\n",
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"from scipy.optimize import curve_fit\n",
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"from scipy.special import erf\n",
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"from scipy.special import erf\n",
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"# from scipy.stats import norm\n",
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"\n",
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"\n",
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"import kemstem"
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"import kemstem"
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]
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]
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@@ -65,6 +64,7 @@
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" '2V': loadmat('./Si2V1-Niter1000.mat'),\n",
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" '2V': loadmat('./Si2V1-Niter1000.mat'),\n",
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" '5V': loadmat('./Si5V2-Niter1000.mat'),\n",
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" '5V': loadmat('./Si5V2-Niter1000.mat'),\n",
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" '8V': loadmat('./Si8V2-Niter1000.mat'),\n",
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" '8V': loadmat('./Si8V2-Niter1000.mat'),\n",
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" '30V': loadmat('./Si30V3-Niter1000.mat'),\n",
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"}"
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"}"
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]
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]
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},
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},
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@@ -117,7 +117,7 @@
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{
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"data": {
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"model_id": "98f3d1674e4e4d0caab824f6481075a2",
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"version_major": 2,
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"version_minor": 0
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"version_major": 2,
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"version_minor": 0
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@@ -145,7 +145,7 @@
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"version_minor": 0
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@@ -155,6 +155,20 @@
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"metadata": {},
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"output_type": "display_data"
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"output_type": "display_data"
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}
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],
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"source": [
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"source": [
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@@ -179,13 +193,13 @@
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},
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},
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{
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{
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"cell_type": "code",
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 7,
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"id": "4925866a",
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"id": "4925866a",
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"metadata": {},
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"metadata": {},
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"outputs": [],
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"outputs": [],
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"source": [
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"source": [
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"# def double_erf(x, p, q, x0, x1):\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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" return p * (erf(q*(x - x0)) - erf(q*(x - x1)))\n",
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"\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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"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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" return p0 + double_erf(x, p1, q, x0, x1)"
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@@ -193,14 +207,14 @@
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},
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},
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{
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{
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"cell_type": "code",
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 8,
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"id": "62a285a5",
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"id": "62a285a5",
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"metadata": {},
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"metadata": {},
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"outputs": [
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"outputs": [
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{
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{
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"data": {
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"data": {
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"application/vnd.jupyter.widget-view+json": {
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"model_id": "2759b336195e4062b4bd09aef23d3346",
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"version_major": 2,
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"version_major": 2,
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"version_minor": 0
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"version_minor": 0
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},
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@@ -214,7 +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": "91a8c86ee2d140aba9d5c25fe7b2daa2",
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"model_id": "172aa542b34c498b9413e571665023d7",
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"version_major": 2,
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"version_major": 2,
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"version_minor": 0
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},
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@@ -228,7 +242,7 @@
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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": "c2bda9c85b714554a402b2d377c7f784",
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"version_major": 2,
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"version_major": 2,
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"version_minor": 0
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"version_minor": 0
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},
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},
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@@ -238,12 +252,25 @@
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},
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},
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"metadata": {},
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"metadata": {},
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"output_type": "display_data"
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},
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"model_id": "8960abd96eec4f1f9f43f64b40a2d8d8",
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"version_major": 2,
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"output_type": "display_data"
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}
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}
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],
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],
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"source": [
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"source": [
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"crystalline_heights = {}\n",
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"crystalline_heights = {}\n",
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"crystalline_height_errs = {}\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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"\n",
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"for key in results.keys():\n",
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"for key in results.keys():\n",
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"\n",
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"\n",
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@@ -255,13 +282,13 @@
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"\n",
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"\n",
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" for column in tqdm(columns):\n",
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" for column in tqdm(columns):\n",
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" popt, perr, _ = fit(\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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" double_erf, 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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" p0=[0.1, 0.3, 3, 12],\n",
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" # bounds=bounds,\n",
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" # bounds=bounds,\n",
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" maxfev=10000\n",
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" maxfev=10000\n",
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" )\n",
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" )\n",
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" p0, p1, q, x0, x1 = popt\n",
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" p1, q, x0, x1 = popt\n",
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" dp0, dp1, dq, dx0, dx1 = perr\n",
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" dp1, dq, dx0, dx1 = perr\n",
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"\n",
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"\n",
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" crystalline.append((x1 - x0) * dz)\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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" crystalline_err.append(dz * (dx0 + dx1) / 2)\n",
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@@ -272,91 +299,25 @@
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},
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},
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{
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{
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"cell_type": "code",
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"cell_type": "code",
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"execution_count": 16,
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"execution_count": 9,
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"id": "6af86cf4",
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"id": "6af86cf4",
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"metadata": {},
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"metadata": {},
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"outputs": [
|
"outputs": [],
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{
|
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"data": {
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"image/png": 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|
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"metadata": {},
|
|
||||||
"output_type": "display_data"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"name": "stdout",
|
|
||||||
"output_type": "stream",
|
|
||||||
"text": [
|
|
||||||
"245.0 41.877254010069706\n"
|
|
||||||
]
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"data": {
|
|
||||||
"image/png": 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truncated
|
|
||||||
"text/plain": [
|
|
||||||
"<Figure size 640x480 with 1 Axes>"
|
|
||||||
]
|
|
||||||
},
|
|
||||||
"metadata": {},
|
|
||||||
"output_type": "display_data"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"name": "stdout",
|
|
||||||
"output_type": "stream",
|
|
||||||
"text": [
|
|
||||||
"281.0 64.3051954434194\n"
|
|
||||||
]
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"data": {
|
|
||||||
"image/png": 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truncated
|
|
||||||
"text/plain": [
|
|
||||||
"<Figure size 640x480 with 1 Axes>"
|
|
||||||
]
|
|
||||||
},
|
|
||||||
"metadata": {},
|
|
||||||
"output_type": "display_data"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"name": "stdout",
|
|
||||||
"output_type": "stream",
|
|
||||||
"text": [
|
|
||||||
"336.0 74.10726414958422\n"
|
|
||||||
]
|
|
||||||
}
|
|
||||||
],
|
|
||||||
"source": [
|
"source": [
|
||||||
|
"safe_height_indices = {}\n",
|
||||||
|
"\n",
|
||||||
"for key in results.keys():\n",
|
"for key in results.keys():\n",
|
||||||
" crystalline = crystalline_heights[key]\n",
|
" crystalline = crystalline_heights[key]\n",
|
||||||
" crystalline_err = crystalline_height_errs[key]\n",
|
" crystalline_err = crystalline_height_errs[key]\n",
|
||||||
" sorted_heights = np.sort(crystalline)\n",
|
|
||||||
"\n",
|
"\n",
|
||||||
" safe_height_index = np.where(\n",
|
" safe_height_index = np.where(crystalline_err < crystalline / 10)\n",
|
||||||
" # (crystalline > ymin) & (crystalline < ymax)\n",
|
" # safe_height_index = np.where(crystalline)\n",
|
||||||
" crystalline_err < crystalline / 10\n",
|
" safe_height_indices.update({key: safe_height_index})"
|
||||||
" )\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",
|
|
||||||
"\n",
|
|
||||||
" print(total_thickness, (total_thickness - np.median(crystalline)) / 2)"
|
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": 17,
|
"execution_count": 10,
|
||||||
"id": "8cfc6801",
|
"id": "8cfc6801",
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
@@ -372,7 +333,10 @@
|
|||||||
"[72, 217, 362, 507]\n",
|
"[72, 217, 362, 507]\n",
|
||||||
"8V\n",
|
"8V\n",
|
||||||
"(581, 581)\n",
|
"(581, 581)\n",
|
||||||
"[72, 217, 363, 508]\n"
|
"[72, 217, 363, 508]\n",
|
||||||
|
"30V\n",
|
||||||
|
"(541, 541)\n",
|
||||||
|
"[67, 202, 338, 473]\n"
|
||||||
]
|
]
|
||||||
}
|
}
|
||||||
],
|
],
|
||||||
@@ -385,40 +349,22 @@
|
|||||||
},
|
},
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": 19,
|
"execution_count": 11,
|
||||||
"id": "9f30bf4b",
|
"id": "9f30bf4b",
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
"source": [
|
"source": [
|
||||||
"thickness_rois = {\n",
|
"thickness_rois = {\n",
|
||||||
" '2V': [[214, 358], [214, 358]],\n",
|
" '2V' : [[214, 358], [214, 358]],\n",
|
||||||
" '5V': [[217, 362], [ 72, 217]],\n",
|
" '5V' : [[217, 362], [ 72, 217]],\n",
|
||||||
" '8V': [[217, 363], [ 72, 217]]\n",
|
" '8V' : [[217, 363], [ 72, 217]],\n",
|
||||||
"}\n",
|
" '30V': [[338, 473], [ 202, 338]]\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",
|
|
||||||
"\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",
|
|
||||||
"\n",
|
|
||||||
"# plt.show()\n"
|
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": 20,
|
"execution_count": 12,
|
||||||
"id": "8f03ee83",
|
"id": "8f03ee83",
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
@@ -438,7 +384,7 @@
|
|||||||
},
|
},
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": 21,
|
"execution_count": 13,
|
||||||
"id": "45bba998",
|
"id": "45bba998",
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
@@ -471,37 +417,37 @@
|
|||||||
},
|
},
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": 22,
|
"execution_count": 14,
|
||||||
"id": "ddbd2457",
|
"id": "f61e53da",
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [
|
"outputs": [],
|
||||||
{
|
|
||||||
"data": {
|
|
||||||
"text/plain": [
|
|
||||||
"array([ 4, 16, 61, 72, 75, 77, 84, 92, 103, 119, 123,\n",
|
|
||||||
" 142, 157, 173, 174, 185, 202, 209, 240, 245, 253, 259,\n",
|
|
||||||
" 273, 302, 314, 323, 325, 328, 330, 333, 359, 369, 385,\n",
|
|
||||||
" 391, 396, 418, 448, 487, 494, 515, 518, 528, 539, 554,\n",
|
|
||||||
" 556, 560, 594, 601, 602, 607, 616, 631, 657, 668, 693,\n",
|
|
||||||
" 706, 722, 741, 747, 782, 787, 793, 801, 814, 831, 841,\n",
|
|
||||||
" 854, 861, 865, 873, 877, 896, 910, 921, 926, 929, 942,\n",
|
|
||||||
" 945, 952, 977, 981, 990, 1006, 1010, 1011, 1013, 1019, 1060,\n",
|
|
||||||
" 1076, 1081, 1096, 1102, 1121, 1135, 1177, 1185, 1212, 1224, 1235,\n",
|
|
||||||
" 1244, 1275, 1291])"
|
|
||||||
]
|
|
||||||
},
|
|
||||||
"execution_count": 22,
|
|
||||||
"metadata": {},
|
|
||||||
"output_type": "execute_result"
|
|
||||||
}
|
|
||||||
],
|
|
||||||
"source": [
|
"source": [
|
||||||
"roi_indices['2V'][0][0]"
|
"# idx = np.where(crystalline_height_errs['2V'] > crystalline_heights['2V'] / 10)[0]\n",
|
||||||
|
"\n",
|
||||||
|
"# if input(len(idx)) == 'y': pass\n",
|
||||||
|
"\n",
|
||||||
|
"# for i in idx[::10]:\n",
|
||||||
|
"# c = column_lists['2V'][i]\n",
|
||||||
|
"# z = np.arange(len(c)) * DZ['2V']\n",
|
||||||
|
"\n",
|
||||||
|
"# popt, perr, _ = fit(\n",
|
||||||
|
"# double_erf, np.arange(len(c)), c, plot=True,\n",
|
||||||
|
"# p0=[0.28181914, 0.30406586, 3.74047066, 12.6762897],\n",
|
||||||
|
"# # bounds=bounds,\n",
|
||||||
|
"# maxfev=10000\n",
|
||||||
|
"# )\n",
|
||||||
|
" \n",
|
||||||
|
"# p1, q, x0, x1 = popt\n",
|
||||||
|
"# dp1, dq, dx0, dx1 = perr\n",
|
||||||
|
"\n",
|
||||||
|
"# print((x1 - x0) * dz, dz * (dx0 + dx1) / 2, (dz * (dx0 + dx1) / 2) / (x1 - x0) * dz)\n",
|
||||||
|
"\n",
|
||||||
|
"# plt.show()"
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": 23,
|
"execution_count": 15,
|
||||||
"id": "d0926668",
|
"id": "d0926668",
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
@@ -510,14 +456,14 @@
|
|||||||
"output_type": "stream",
|
"output_type": "stream",
|
||||||
"text": [
|
"text": [
|
||||||
"2V\n",
|
"2V\n",
|
||||||
"Crystalline thickness: 165.816 ± 13.289\n",
|
"Crystalline thickness: 179.520 ± 11.576\n",
|
||||||
"Amorphous thickness: 39.592 ± 6.645\n",
|
"Amorphous thickness: 32.740 ± 5.788\n",
|
||||||
"(# of counted columns = 83/102)\n"
|
"(# of counted columns = 99/102)\n"
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"image/png": 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truncated
|
"image/png": 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truncated
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Figure size 640x480 with 1 Axes>"
|
"<Figure size 640x480 with 1 Axes>"
|
||||||
]
|
]
|
||||||
@@ -530,14 +476,14 @@
|
|||||||
"output_type": "stream",
|
"output_type": "stream",
|
||||||
"text": [
|
"text": [
|
||||||
"5V\n",
|
"5V\n",
|
||||||
"Crystalline thickness: 154.896 ± 11.639\n",
|
"Crystalline thickness: 159.217 ± 11.446\n",
|
||||||
"Amorphous thickness: 63.052 ± 5.820\n",
|
"Amorphous thickness: 60.891 ± 5.723\n",
|
||||||
"(# of counted columns = 106/106)\n"
|
"(# of counted columns = 106/106)\n"
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"image/png": 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truncated
|
"image/png": 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truncated
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Figure size 640x480 with 1 Axes>"
|
"<Figure size 640x480 with 1 Axes>"
|
||||||
]
|
]
|
||||||
@@ -550,14 +496,34 @@
|
|||||||
"output_type": "stream",
|
"output_type": "stream",
|
||||||
"text": [
|
"text": [
|
||||||
"8V\n",
|
"8V\n",
|
||||||
"Crystalline thickness: 192.238 ± 13.491\n",
|
"Crystalline thickness: 185.428 ± 10.826\n",
|
||||||
"Amorphous thickness: 71.881 ± 6.745\n",
|
"Amorphous thickness: 75.286 ± 5.413\n",
|
||||||
"(# of counted columns = 118/118)\n"
|
"(# of counted columns = 118/118)\n"
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"image/png": 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truncated
|
"image/png": 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truncated
|
||||||
|
"text/plain": [
|
||||||
|
"<Figure size 640x480 with 1 Axes>"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
"metadata": {},
|
||||||
|
"output_type": "display_data"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"name": "stdout",
|
||||||
|
"output_type": "stream",
|
||||||
|
"text": [
|
||||||
|
"30V\n",
|
||||||
|
"Crystalline thickness: 156.487 ± 19.781\n",
|
||||||
|
"Amorphous thickness: 261.757 ± 9.891\n",
|
||||||
|
"(# of counted columns = 45/101)\n"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"data": {
|
||||||
|
"image/png": "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 truncated
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Figure size 640x480 with 1 Axes>"
|
"<Figure size 640x480 with 1 Axes>"
|
||||||
]
|
]
|
||||||
@@ -604,43 +570,25 @@
|
|||||||
},
|
},
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": null,
|
"execution_count": 16,
|
||||||
"id": "0d23f0b2",
|
"id": "9701672b",
|
||||||
"metadata": {},
|
|
||||||
"outputs": [],
|
|
||||||
"source": []
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"cell_type": "code",
|
|
||||||
"execution_count": null,
|
|
||||||
"id": "d59fd141",
|
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"data": {
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"data": {
|
||||||
"image/png": 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truncated
|
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Figure size 640x480 with 1 Axes>"
|
"<matplotlib.legend.Legend at 0x7f062a5eed80>"
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
|
"execution_count": 16,
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"output_type": "display_data"
|
"output_type": "execute_result"
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"image/png": 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truncated
|
"image/png": "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 truncated
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Figure size 640x480 with 1 Axes>"
|
"<Figure size 900x900 with 1 Axes>"
|
||||||
]
|
|
||||||
},
|
|
||||||
"metadata": {},
|
|
||||||
"output_type": "display_data"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"data": {
|
|
||||||
"image/png": "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 truncated
|
|
||||||
"text/plain": [
|
|
||||||
"<Figure size 640x480 with 1 Axes>"
|
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
@@ -648,50 +596,33 @@
|
|||||||
}
|
}
|
||||||
],
|
],
|
||||||
"source": [
|
"source": [
|
||||||
|
"voltages = []\n",
|
||||||
|
"damage = []\n",
|
||||||
|
"damage_err = []\n",
|
||||||
|
"\n",
|
||||||
"for key in results.keys():\n",
|
"for key in results.keys():\n",
|
||||||
|
" voltages.append(float(key[:-1]))\n",
|
||||||
|
" damage.append(roi_amorphous_height_means[key])\n",
|
||||||
|
" damage_err.append(roi_amorphous_height_stds[key])\n",
|
||||||
"\n",
|
"\n",
|
||||||
" recon = recons[key]\n",
|
"plt.figure(figsize=(3, 3), dpi=300)\n",
|
||||||
" heights = crystalline_heights[key]\n",
|
|
||||||
" c0 = column_positions[key]\n",
|
|
||||||
"\n",
|
"\n",
|
||||||
" top = tops[key]\n",
|
"plt.errorbar(voltages, damage, damage_err,\n",
|
||||||
" middle = middles[key]\n",
|
" fmt=\"o\", capsize=3, capthick=1, label=\"Current study\",\n",
|
||||||
" bottom = bottoms[key]\n",
|
" zorder=100, color='k'\n",
|
||||||
" top_std = top_stds[key]\n",
|
|
||||||
" middle_std = middle_stds[key]\n",
|
|
||||||
" bottom_std = bottom_stds[key]\n",
|
|
||||||
"\n",
|
|
||||||
" plt.imshow(np.angle(recon).sum(axis=-1), cmap='gray')\n",
|
|
||||||
"\n",
|
|
||||||
" for i, roi in enumerate(thickness_rois[key]):\n",
|
|
||||||
"\n",
|
|
||||||
" idx = roi_indices[key][i]\n",
|
|
||||||
"\n",
|
|
||||||
" (x0, x1), (y0, y1) = roi\n",
|
|
||||||
" plt.plot([x0, x0, x1, x1, x0], [y0, y1, y1, y0, y0], lw=3)\n",
|
|
||||||
" plt.text(x1+5, y1-10, f\"{middle[i]:.2f} ± {middle_std[i]:.2f}\", color='white')\n",
|
|
||||||
"\n",
|
|
||||||
" sorted_heights = np.sort(heights)\n",
|
|
||||||
"\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",
|
|
||||||
" vmax=sorted_heights[-30], \n",
|
|
||||||
" vmin=sorted_heights[30]\n",
|
|
||||||
" )\n",
|
" )\n",
|
||||||
" # cbar = plt.colorbar()\n",
|
"plt.plot([30, 8, 5, 2], [220, 70, 40, 10], '*', label='Uzuhashi et al. (2024)\\n(Amorphous)')\n",
|
||||||
|
"plt.plot([30, 8, 5, 2], [290, 100, 70, 70], 'p', label='Uzuhashi et al. (2024)\\n(Total damage)')\n",
|
||||||
|
"plt.plot([30, 5, 2], [220, 66, 31], 's', label='Burnett et al. (2015)')\n",
|
||||||
|
"plt.plot([30, 5, 2], [220, 25, 10], 'v', label='Mayer et al. (2007)')\n",
|
||||||
|
"plt.plot([30, 5, 2], [210, 20, 10], '<', label='Giannuzzi et al. (2005)')\n",
|
||||||
|
"plt.plot([30, 10], [200, 100], '>', label='Kato et al. (1999)')\n",
|
||||||
"\n",
|
"\n",
|
||||||
|
"plt.xlabel(\"FIB voltage [keV]\")\n",
|
||||||
|
"plt.ylabel(\"Si damage [Å]\")\n",
|
||||||
"\n",
|
"\n",
|
||||||
" plt.show()\n"
|
"plt.legend(fontsize=7)"
|
||||||
]
|
]
|
||||||
},
|
|
||||||
{
|
|
||||||
"cell_type": "code",
|
|
||||||
"execution_count": null,
|
|
||||||
"id": "0726cc98",
|
|
||||||
"metadata": {},
|
|
||||||
"outputs": [],
|
|
||||||
"source": []
|
|
||||||
}
|
}
|
||||||
],
|
],
|
||||||
"metadata": {
|
"metadata": {
|
||||||
|
|||||||
Reference in new issue
Block a user