t1 = [0.0, 50.0, 100.0, 150.0, 200.0, 250.0, 300.0, 350.0, 400.0, 450.0, 500.0, 550.0, 600.0, 650.0, 700.0, 750.0, 800.0, 850.0, 900.0, 950.0, 1000.0, 1050.0, 1100.0, 1150.0, 1200.0, 1250.0, 1300.0, 1350.0, 1400.0]

c1 = [15.01, 13.28, 11.57, 10.32, 9.12, 8.06, 7.04, 6.29, 5.56, 4.84, 4.34, 3.78, 3.37, 2.94, 2.61, 2.29, 2.03, 1.81, 1.58, 1.4, 1.23, 1.08, 0.96, 0.84, 0.74, 0.66, 0.59, 0.52, 0.45]

c2 = [15.0, 7.5, 5.0, 3.75, 3.0, 2.5, 2.14, 1.88, 1.67, 1.5, 1.36, 1.25, 1.15, 1.07, 1.0, 0.94, 0.88, 0.83, 0.79, 0.75, 0.71, 0.68, 0.65, 0.63, 0.6, 0.58, 0.56, 0.54, 0.52]




# Les données expérimentales du TP précédent

t_exp = [0.0, 17.0, 47.0, 77.0, 107.0, 137.0, 167.0, 197.0, 227.0, 257.0, 287.0, 317.0, 347.0, 377.0, 407.0, 437.0, 467.0, 497.0, 527.0, 557.0, 587.0, 617.0, 647.0, 677.0, 707.0, 737.0, 767.0, 797.0, 827.0, 857.0, 887.0, 917.0, 947.0, 977.0, 1007.0, 1037.0, 1067.0, 1097.0, 1127.0, 1157.0, 1187.0, 1217.0, 1247.0, 1277.0, 1307.0, 1337.0, 1367.0, 1397.0, 1427.0, 1457.0, 1487.0, 1517.0]

c_exp = [0.0, 0.333, 0.805, 1.238, 1.662, 2.033, 2.386, 2.705, 2.981, 3.248, 3.476, 3.695, 3.895, 4.067, 4.233, 4.386, 4.524, 4.652, 4.762, 4.871, 4.971, 5.057, 5.143, 5.224, 5.295, 5.362, 5.424, 5.476, 5.524, 5.614, 5.629, 5.667, 5.714, 5.762, 5.795, 5.819, 5.862, 5.89, 5.91, 5.943, 5.967, 5.99, 6.01, 6.038, 6.062, 6.071, 6.09, 6.11, 6.124, 6.148, 6.162, 6.171]