jacopoBR/Lab1
1
1
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Molto lavoro per negare il modello, ora si inizia con LaTeX perché altrimenti non finiamo

Browse Source
This commit is contained in:
Jacopo Basso Ricci
2026-04-08 10:11:20 +02:00
parent 84e88fd6e6
commit 1c8f6fb418
13 changed files with 14051 additions and 378 deletions
Download Patch File Download Diff File Expand all files Collapse all files

74
molla/statica/mollaStatica2.ipynb
View File

@@ -18,7 +18,7 @@
},
{
"cell_type": "code",
"execution_count": 82,
"execution_count": 105,
"id": "f34c5b88",
"metadata": {},
"outputs": [],
@@ -51,7 +51,7 @@
},
{
"cell_type": "code",
"execution_count": 83,
"execution_count": 106,
"id": "08efb2be",
"metadata": {},
"outputs": [],
@@ -86,7 +86,7 @@
},
{
"cell_type": "code",
"execution_count": 84,
"execution_count": 107,
"id": "5494409f",
"metadata": {},
"outputs": [
@@ -199,7 +199,7 @@
"3 0.188750 108.610000 0.002887 "
]
},
"execution_count": 84,
"execution_count": 107,
"metadata": {},
"output_type": "execute_result"
}
@@ -210,7 +210,7 @@
},
{
"cell_type": "code",
"execution_count": 85,
"execution_count": 108,
"id": "976d5531",
"metadata": {},
"outputs": [
@@ -265,7 +265,7 @@
},
{
"cell_type": "code",
"execution_count": 86,
"execution_count": 109,
"id": "2ad19283",
"metadata": {},
"outputs": [
@@ -292,7 +292,7 @@
},
{
"cell_type": "code",
"execution_count": 87,
"execution_count": 110,
"id": "5f59d6c9",
"metadata": {},
"outputs": [
@@ -341,7 +341,7 @@
},
{
"cell_type": "code",
"execution_count": 88,
"execution_count": 111,
"id": "7e75ec05",
"metadata": {},
"outputs": [],
@@ -368,7 +368,7 @@
},
{
"cell_type": "code",
"execution_count": 89,
"execution_count": 112,
"id": "aefe7756",
"metadata": {},
"outputs": [
@@ -381,8 +381,8 @@
"Dep. Variable: y R-squared: 1.000\n",
"Model: OLS Adj. R-squared: 1.000\n",
"Method: Least Squares F-statistic: 1.277e+05\n",
"Date: Sat, 04 Apr 2026 Prob (F-statistic): 3.68e-10\n",
"Time: 19:38:07 Log-Likelihood: -7.2422\n",
"Date: Mon, 06 Apr 2026 Prob (F-statistic): 3.68e-10\n",
"Time: 10:04:08 Log-Likelihood: -7.2422\n",
"No. Observations: 6 AIC: 18.48\n",
"Df Residuals: 4 BIC: 18.07\n",
"Df Model: 1 \n",
@@ -438,7 +438,7 @@
},
{
"cell_type": "code",
"execution_count": 90,
"execution_count": 113,
"id": "1d42b009",
"metadata": {},
"outputs": [
@@ -504,7 +504,7 @@
},
{
"cell_type": "code",
"execution_count": 91,
"execution_count": 114,
"id": "986ff4a6",
"metadata": {},
"outputs": [
@@ -562,7 +562,7 @@
},
{
"cell_type": "code",
"execution_count": 92,
"execution_count": 115,
"id": "2d4b7144",
"metadata": {},
"outputs": [
@@ -638,7 +638,7 @@
},
{
"cell_type": "code",
"execution_count": 93,
"execution_count": 116,
"id": "e2407a04",
"metadata": {},
"outputs": [
@@ -707,7 +707,7 @@
},
{
"cell_type": "code",
"execution_count": 94,
"execution_count": 117,
"id": "32e9948f",
"metadata": {},
"outputs": [
@@ -766,7 +766,7 @@
},
{
"cell_type": "code",
"execution_count": 95,
"execution_count": 118,
"id": "bfb895c6",
"metadata": {},
"outputs": [
@@ -849,7 +849,7 @@
},
{
"cell_type": "code",
"execution_count": 96,
"execution_count": 119,
"id": "202de438",
"metadata": {},
"outputs": [
@@ -923,7 +923,7 @@
},
{
"cell_type": "code",
"execution_count": 97,
"execution_count": 120,
"id": "caf23dbe",
"metadata": {},
"outputs": [
@@ -981,7 +981,7 @@
},
{
"cell_type": "code",
"execution_count": 98,
"execution_count": 121,
"id": "8f5c8bb7",
"metadata": {},
"outputs": [
@@ -991,8 +991,8 @@
"text": [
"u_strum_m = 0.004082\n",
"u_strum_Dx = 0.020412\n",
"uF_strum = 0.071603\n",
"uK_strum = 0.022946\n"
"uF_strum = 0.053018\n",
"uK_strum = 0.012599\n"
]
}
],
@@ -1009,10 +1009,10 @@
"umasse_strum = np.maximum(umasse, u_strum_m)\n",
"\n",
"# Worst-case scalare: prendi il massimo anche di ueste_strum\n",
"uF_strum = np.max(np.sqrt( (g * umasse_strum)**2 + (masse * ug)**2 ))\n",
"uDx_strum = np.max(ueste_strum)\n",
"uF_strum = np.average(np.sqrt( (g * umasse_strum)**2 + (masse * ug)**2 ))\n",
"uDx_strum = np.average(ueste_strum)\n",
"\n",
"uK_strum = np.max(np.sqrt( (1/este)**2 * uF_strum**2 + (F/este**2)**2 * uDx_strum**2 ))\n",
"uK_strum = np.average(np.sqrt( (1/este)**2 * uF_strum**2 + (F/este**2)**2 * uDx_strum**2 ))\n",
"\n",
"print(f\"u_strum_m = {u_strum_m:.6f}\")\n",
"print(f\"u_strum_Dx = {u_strum_Dx:.6f}\")\n",
@@ -1030,7 +1030,7 @@
},
{
"cell_type": "code",
"execution_count": 99,
"execution_count": 122,
"id": "a1dc24c9",
"metadata": {},
"outputs": [],
@@ -1082,7 +1082,7 @@
},
{
"cell_type": "code",
"execution_count": 100,
"execution_count": 123,
"id": "c8e264fa",
"metadata": {},
"outputs": [
@@ -1091,22 +1091,22 @@
"output_type": "stream",
"text": [
"RISULTATI CON ERRORE STRUMENTALE INCLUSO:\n",
"Media pesata K = 3.20156 ± 0.02327\n",
"Media pesata K = 3.20156 ± 0.01318\n",
"\n",
"RISULTATI REGRESSIONE OLS:\n",
"Aols = 3.20145 ± 0.02463\n",
"Bols = 0.02655 ± 0.99102\n",
"Chi² OLS = 1.17582 | rid = 0.29396 | P = 0.11794\n",
"Aols = 3.20145 ± 0.01546\n",
"Bols = 0.02655 ± 0.99084\n",
"Chi² OLS = 1.52520 | rid = 0.38130 | P = 0.17783\n",
"\n",
"RISULTATI REGRESSIONE Carpi:\n",
"AC = 3.20054 ± 0.02472\n",
"BC = 0.11948 ± 0.95263\n",
"Chi² Carpi = 1.17417 | rid = 0.29354 | P = 0.11767\n",
"AC = 3.20054 ± 0.01559\n",
"BC = 0.11948 ± 0.95244\n",
"Chi² Carpi = 1.52143 | rid = 0.38036 | P = 0.17716\n",
"\n",
"RISULTATI REGRESSIONE York:\n",
"AY = 3.20061 ± 0.02472\n",
"BY = 0.11263 ± 0.95193\n",
"Chi² York = 1.17400 | rid = 0.29350 | P = 0.11764\n"
"AY = 3.20061 ± 0.01559\n",
"BY = 0.11263 ± 0.95173\n",
"Chi² York = 1.52133 | rid = 0.38033 | P = 0.17714\n"
]
}
],