compare eta

This commit is contained in:
Erik Fröjdh committed 2025-11-24 17:09:41 +01:00
1 parent 49a34c00dd
commit 3dbd83f405
3 files changed
+11 -9

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+2
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@@ -14,6 +14,8 @@ build/
RELEASE.txt
Testing/
*.png
ctbDict.cpp
ctbDict.h
+2 -2
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@@ -77,13 +77,13 @@
},
{
"cell_type": "code",
"execution_count": 65,
"execution_count": 86,
"id": "9c8be894-145c-4e87-b83b-5fd449567474",
"metadata": {},
"outputs": [
{
"data": {
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"text/plain": [
"<Figure size 800x800 with 2 Axes>"
]
+7 -7
View File
@@ -10,7 +10,7 @@
},
{
"cell_type": "code",
"execution_count": 1,
"execution_count": 25,
"id": "a7bafd1c-9c36-40c2-bf8d-3bba7fbc09f8",
"metadata": {
"editable": true,
@@ -53,7 +53,7 @@
},
{
"cell_type": "code",
"execution_count": 2,
"execution_count": 26,
"id": "8ae6ce69-313f-41d4-8019-64e93a5610a0",
"metadata": {
"editable": true,
@@ -73,7 +73,7 @@
},
{
"data": {
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truncated
"image/png": "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 truncated
"text/plain": [
"<Figure size 1000x500 with 4 Axes>"
]
@@ -98,7 +98,7 @@
},
{
"cell_type": "code",
"execution_count": 3,
"execution_count": 27,
"id": "6390e1ef-2216-47ed-a8ce-106b9a7766ed",
"metadata": {
"editable": true,
@@ -110,7 +110,7 @@
"outputs": [
{
"data": {
"image/png": 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truncated
"image/png": "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 truncated
"text/plain": [
"<Figure size 1000x500 with 2 Axes>"
]
@@ -180,7 +180,7 @@
},
{
"cell_type": "code",
"execution_count": 5,
"execution_count": 32,
"id": "0b3fef19-144b-4421-8d21-66b67b838813",
"metadata": {},
"outputs": [
@@ -215,7 +215,7 @@
"with aare.ClusterFile(f'.data/test_{g.grid_size}x{g.grid_size}{tag}.clust', cluster_size = (g.grid_size,g.grid_size)) as f:\n",
" for clusters in f:\n",
" eta2 = aare.calculate_eta2(clusters)\n",
" # energy = clusters.sum_2x2()\n",
" # eta2 = aare.calculate_eta3(clusters)\n",
" eta_hist.fill(eta2['x'], eta2['y'], eta2['sum'])\n",
"\n",
"\n",