From 84d931fb3d85d2a8df0488a1b3074753b53db527 Mon Sep 17 00:00:00 2001 From: mer0m Date: Fri, 17 Feb 2017 10:03:28 +0100 Subject: [PATCH] . --- ringdown.py | 45 +++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 45 insertions(+) create mode 100644 ringdown.py diff --git a/ringdown.py b/ringdown.py new file mode 100644 index 0000000..1536196 --- /dev/null +++ b/ringdown.py @@ -0,0 +1,45 @@ +import matplotlib.pyplot as plt +import numpy as np +import csv, glob, sys +from scipy.optimize import curve_fit + +list_files = (glob.glob(sys.argv[1])) + +data = [] + +for f in list_files: + data_iter = csv.reader(open(f, 'r'), delimiter = ',', quotechar = '"') + for i in range(2): + data_iter.next() + #temp_data = [value for value in data_iter] #if ends with a number + temp_data = [value[:-1] for value in data_iter]#if ends with a comma + data.extend(temp_data) + +data = np.asarray(data, dtype = float) + +del(temp_data, list_files, value, f) + +plt.subplot(111) +plt.clf() + +plt.plot(data[data[:,0]>=0,0], data[data[:,0]>=0,1], label ='mes') + +def func(t, tau, A, w , a, b): + return A * np.exp(-t/tau) * np.sin((w+a*t)*t) + b + +popt, pcov = curve_fit(func, data[data[:,0]>=0,0], data[data[:,0]>=0,1], p0 = [1e-5, 1e-2, 1e5, 1e10, 1e-4], maxfev=10000) +yfit = func(data[data[:,0]>=0,0], *popt) + +tau = float(popt[0]) +Q = np.pi*299792458*tau/(2.*140e-3) + +#print(np.sqrt(np.diag(pcov))) +print(tau, Q) + +plt.plot(data[data[:,0]>=0,0], yfit, label ='fit') + +plt.xlabel('t') +plt.ylabel('Intensity') +plt.grid(which='both') +plt.legend() +plt.show() -- 2.16.4