modificacion ion_statistics.py

analisis/plots/20221017_IonStatistics/IonStatistics.py

@@ -7,6 +7,20 @@ import ast
 from scipy.optimize import curve_fit
 import os
 import scipy.stats as sts
+import seaborn as sns
+
+colors1=sns.color_palette("rocket", 10)
+colors2=sns.color_palette("mako", 10)
+color1 = colors1[3]
+color2 = colors1[2]
+color3 = colors1[1]
+
+plt.rcParams.update({
+    "font.family": "STIXGeneral"
+})
+plt.rcParams.update({
+    "font.size": 14
+})
 # Solo levanto algunos experimentos
 Stat_files = [8731, 8738, 8745]
 
@@ -53,26 +67,34 @@ for i, fname in enumerate(Stat_files):
 #plt.figure()
 #plt.plot(Stat_Bins[0][:-1], Stat_Heigths[0])
 
+#plot figuras papers
+
 bins1 = np.arange(100,350, 1)
 bins2 = np.arange(10,50,1)
 bins3 = np.arange(30,100,1)
 
-plt.figure()
-plt.hist(Stat_Heigths[0], bins=bins1, histtype='step',density = True)
+plt.figure(figsize = (4.5,3))
+plt.hist(Stat_Heigths[0], bins=bins1, histtype='step',density = True,color = color1,label = 'BG')
 #plt.hist(Stat_Heigths[1], bins=bins2, histtype='step',density = True)
-plt.hist(Stat_Heigths[1], bins=bins2, histtype='step',density = True)
+plt.hist(Stat_Heigths[1], bins=bins2, histtype='step',density = True,color = color2,label = 'UV laser')
 #plt.hist(Stat_Heigths[3], bins=bins2, histtype='step',density = True)
 #plt.hist(Stat_Heigths[4], bins=bins2, histtype='step',density = True)
-plt.hist(Stat_Heigths[2], bins=bins3, histtype='step',density = True)
-
-#%%
-poisson = sts.poisson.pmf(bins,np.mean(Stat_Heigths))
+plt.hist(Stat_Heigths[2], bins=bins3, histtype='step',density = True,color = color3,label = 'Ion')
 
-plt.plot(bins+0.5,poisson)
 
-poissoneidad =  np.var(Stat_Heigths)/np.mean(Stat_Heigths)
-plt.title('Varianza/media = {:.4f}'.format(poissoneidad))
+poisson1= sts.poisson.pmf(bins1,np.mean(Stat_Heigths[0]))
+poisson2= sts.poisson.pmf(bins2,np.mean(Stat_Heigths[1]))
+poisson3= sts.poisson.pmf(bins3,np.mean(Stat_Heigths[2]))
 
+plt.plot(bins1+0.5,poisson1,color = color1,alpha = 0.9)
+plt.plot(bins2+0.5,poisson2,color = color2,alpha = 0.9)
+plt.plot(bins3+0.5,poisson3,color = color3,alpha = 0.9)
 
+plt.legend()
+plt.grid()
+plt.tight_layout()
+#poissoneidad =  np.var(Stat_Heigths)/np.mean(Stat_Heigths)
+#plt.title('Varianza/media = {:.4f}'.format(poissoneidad))
+plt.savefig('bg_laser_ion_stats.pdf',dpi = 600 )