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Version 0.13

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rskoupy
2023-12-01 18:09:13 +01:00
parent 4c839d9843
commit 646e0855ea
3 changed files with 70 additions and 18 deletions
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44
.ipynb_checkpoints/ptychoScopy-checkpoint.ipynb
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@ -2,7 +2,7 @@
"cells": [
{
"cell_type": "code",
"execution_count": 90,
"execution_count": 741,
"id": "7425242d-3c91-4c1e-a424-08625a38ee7a",
"metadata": {},
"outputs": [],
@ -299,7 +299,7 @@
},
{
"cell_type": "code",
"execution_count": 723,
"execution_count": 743,
"id": "8055b802-cf83-4250-aea9-54e3e6b73db0",
"metadata": {},
"outputs": [],
@ -553,7 +553,7 @@
" \n",
" ### PROBE ##########################################\n",
" fig = go.Figure() \n",
" fig.update_yaxes(title_text=\" CTF\")\n",
" fig.update_yaxes(title_text=\"Contrast transfer func.\")\n",
" xx = 2*wavelength/(np.sin(semi_angle_corr*omega/1000))/100\n",
" \n",
" if ctf_xaxis == 'α': \n",
@ -615,7 +615,7 @@
" \n",
" ### PROBE ##########################################\n",
" fig = go.Figure() \n",
" fig.update_yaxes(title_text=\" CTF\")\n",
" fig.update_yaxes(title_text=\"Contrast transfer func.\")\n",
" \n",
" \n",
" omega =np.array([0, 0.07, 0.125 ,0.25, 0.50, 0.75, 1.00, 1.25, 1.50, 1.75, 2.0, 2.25, 2.5, 2.75, 3.0, 3.25, 3.5, 3.75, 4.00, 4.25, 4.500, 4.750, 5.000])\n",
@ -786,14 +786,14 @@
},
{
"cell_type": "code",
"execution_count": 724,
"execution_count": 744,
"id": "7937f054-fcd0-4e67-a20f-7696f5903a94",
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "c5196eb493e44de8a1d09eccbeee46ad",
"model_id": "068f3d20c5e7439d92f4ec64e94490b0",
"version_major": 2,
"version_minor": 0
},
@ -835,11 +835,37 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 734,
"id": "b939697a-2ab0-49b2-8c73-555bb62a2e0d",
"metadata": {},
"outputs": [],
"source": []
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Numpy version 1.26.1\n",
"scipy version 1.9.1\n",
"Plotly version 5.9.0\n",
"Pandas version 2.1.2\n",
"IPython version 7.31.1\n",
"Ipywidgets version 7.6.5\n"
]
}
],
"source": [
"# import numpy as np\n",
"# print(\"Numpy version \", np.__version__)\n",
"# import scipy\n",
"# print(\"scipy version \", scipy.__version__)\n",
"# import plotly\n",
"# print(\"Plotly version \", plotly.__version__)\n",
"# import pandas\n",
"# print(\"Pandas version \", pandas.__version__)\n",
"# import IPython\n",
"# print(\"IPython version \", IPython.__version__)\n",
"# import ipywidgets\n",
"# print(\"Ipywidgets version \", ipywidgets.__version__)"
]
}
],
"metadata": {

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calibrations.xlsx
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44
ptychoScopy.ipynb
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@ -2,7 +2,7 @@
"cells": [
{
"cell_type": "code",
"execution_count": 90,
"execution_count": 741,
"id": "7425242d-3c91-4c1e-a424-08625a38ee7a",
"metadata": {},
"outputs": [],
@ -299,7 +299,7 @@
},
{
"cell_type": "code",
"execution_count": 723,
"execution_count": 743,
"id": "8055b802-cf83-4250-aea9-54e3e6b73db0",
"metadata": {},
"outputs": [],
@ -553,7 +553,7 @@
" \n",
" ### PROBE ##########################################\n",
" fig = go.Figure() \n",
" fig.update_yaxes(title_text=\" CTF\")\n",
" fig.update_yaxes(title_text=\"Contrast transfer func.\")\n",
" xx = 2*wavelength/(np.sin(semi_angle_corr*omega/1000))/100\n",
" \n",
" if ctf_xaxis == 'α': \n",
@ -615,7 +615,7 @@
" \n",
" ### PROBE ##########################################\n",
" fig = go.Figure() \n",
" fig.update_yaxes(title_text=\" CTF\")\n",
" fig.update_yaxes(title_text=\"Contrast transfer func.\")\n",
" \n",
" \n",
" omega =np.array([0, 0.07, 0.125 ,0.25, 0.50, 0.75, 1.00, 1.25, 1.50, 1.75, 2.0, 2.25, 2.5, 2.75, 3.0, 3.25, 3.5, 3.75, 4.00, 4.25, 4.500, 4.750, 5.000])\n",
@ -786,14 +786,14 @@
},
{
"cell_type": "code",
"execution_count": 724,
"execution_count": 744,
"id": "7937f054-fcd0-4e67-a20f-7696f5903a94",
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "c5196eb493e44de8a1d09eccbeee46ad",
"model_id": "068f3d20c5e7439d92f4ec64e94490b0",
"version_major": 2,
"version_minor": 0
},
@ -835,11 +835,37 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 734,
"id": "b939697a-2ab0-49b2-8c73-555bb62a2e0d",
"metadata": {},
"outputs": [],
"source": []
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Numpy version 1.26.1\n",
"scipy version 1.9.1\n",
"Plotly version 5.9.0\n",
"Pandas version 2.1.2\n",
"IPython version 7.31.1\n",
"Ipywidgets version 7.6.5\n"
]
}
],
"source": [
"# import numpy as np\n",
"# print(\"Numpy version \", np.__version__)\n",
"# import scipy\n",
"# print(\"scipy version \", scipy.__version__)\n",
"# import plotly\n",
"# print(\"Plotly version \", plotly.__version__)\n",
"# import pandas\n",
"# print(\"Pandas version \", pandas.__version__)\n",
"# import IPython\n",
"# print(\"IPython version \", IPython.__version__)\n",
"# import ipywidgets\n",
"# print(\"Ipywidgets version \", ipywidgets.__version__)"
]
}
],
"metadata": {