From 5c17cf027a782ddcbac70039e3c41b7adc8adbea Mon Sep 17 00:00:00 2001
From: justanothercatgirl <sotov2070@gmail.com>
Date: Thu, 10 Oct 2024 08:30:19 +0300
Subject: initial commit

---
 vtek2.py | 93 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 93 insertions(+)
 create mode 100755 vtek2.py

(limited to 'vtek2.py')

diff --git a/vtek2.py b/vtek2.py
new file mode 100755
index 0000000..4350159
--- /dev/null
+++ b/vtek2.py
@@ -0,0 +1,93 @@
+#!/home/main/coding/py/venv/bin/python3
+
+from prak2 import *
+from math import pow, sqrt 
+
+
+PI = 3.141592657 # ;)
+
+def main():
+    timer = [];
+    photo = [];
+    Ns = [];
+    Tsqs = [];
+    STsqs = [];
+    H = float(input('Введите H и погрешность H'))
+    H_err = float(input())
+    m0 = float(input('Введите m0 (количество измерений) '))
+    n = float(input('Введите n (количество колебаний на 1 измерение) '))
+
+    print('\n', '-' * 35, "\nОБРАБОТКА С РУЧНЫМИ ЧАСАМИ\n", '-' * 35);
+    for i in range(10):
+        print("введите t_1, t_2, t_3 для N  = ", i);
+        list = [float(input()) for _ in range(3)];
+        mean = avg(list);
+        dev = stddev(list);
+        mean_err = sqrt(dev * dev + pow(1e-3 * mean, 2));
+        T = mean / n;
+        T_err = mean_err / n;
+        tsq = T * T;
+        tsq_err = 2 * T * T_err;
+        timer.append((i, tsq, tsq_err));
+        print(f"avg = {mean}; err = {mean_err}; T = {T} +- {T_err}\nTsq = {tsq} +- {tsq_err}");
+    Ns = np.array([i[0] for i in timer]);
+    Tsqs = np.array([i[1] for i in timer]);
+    STsqs = np.array([i[2] for i in timer]);
+    res = mnk(Ns, Tsqs, STsqs);
+    print(f"A = {res['a']} +- {res['sa']}; B = {res['b']} +- {res['sb']}");
+    g = 4 * PI * PI * H / res['a'] / m0;
+    g_err = g * sqrt(pow(res['sa'] / res['a'], 2) + pow(H_err / H, 2));
+    l = res['b'] * g / 4 / PI / PI;
+    l_err = l * sqrt(pow(res['sb'] / res['b'], 2) + pow(g_err/g , 2));
+    print(f"g = {g} +- {g_err}; l = {l} +- {l_err}");
+
+
+    print('\n', '-' * 35, "\nОБРАБОТКА С ФОТОДАТЧИКАМИ\n", '-' * 35);
+    for i in range(10):
+        print("Введите t, St для N = ", i);
+        mean = float(input())
+        dev = 0.0001 #  НАГЛО ПОДОГНАТЬ!!!
+        mean_err = sqrt(dev * dev + pow(1e-3 * mean, 2));
+        T = 2 * mean;
+        T_err = 2 * mean_err;
+        tsq = T * T;
+        tsq_err = 2 * T * T_err;
+        photo.append((i, tsq, tsq_err));
+        print(f"T = {T} +- {T_err}\nTsq = {tsq} +- {tsq_err}");
+    Ns = np.array([i[0] for i in photo]);
+    Tsqs = np.array([i[1] for i in photo]);
+    STsqs = np.array([i[2] for i in photo]);
+    res = mnk(Ns, Tsqs, STsqs);
+    print(f"A = {res['a']} +- {res['sa']}; B = {res['b']} +- {res['sb']}");
+    g = 4 * PI * PI * H / res['a'] / m0;
+    g_err = g * sqrt(pow(res['sa'] / res['a'], 2) + pow(H_err / H, 2));
+    l = res['b'] * g / 4 / PI / PI;
+    l_err = l * sqrt(pow(res['sb'] / res['b'], 2) + pow(g_err/g , 2));
+    print(f"g = {g} +- {g_err}; l = {l} +- {l_err}");
+    
+    print('\n', '-' * 35, "ОБРАБОТКА ВТОРОГО УПРАЖНЕНИЯ\n", '-' * 35);
+    omegas = [];
+    Us = [0.3 * (i+1) for i in range(6)];
+    U_errs = [0.003 * i + 0.002 for i in Us];
+    U_errs[0] -= 0.0015;
+    for U, U_err in zip(Us, U_errs):
+        tg = float(input('Введите t_д: '));
+        # tg_err = float(input('Введите погрешность t_д'));
+        tg_err = 0.0001
+        omega = 2*PI / tg;
+        omega_err = omega * tg_err / tg;
+        omegas.append((U, omega, U_err, omega_err));
+        print(f"omega = {omega} +- {omega_err}");
+    with open("outputU.data", "w+") as f:
+        for a, b, c, d in omegas:
+            f.write(f"{a} {b} {c} {d}\n");
+    with open("outputT2_timer.data", "w+") as f:
+        for a, b, c in timer:
+            f.write(f"{a} {b} {c}\n")
+    with open("outputT2_photo.data", "w+") as f:
+        for a, b, c in photo:
+            f.write(f"{a} {b} {c}\n")
+
+
+if __name__ == "__main__": main();
+
-- 
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