Update scripts

allSecondDerivs.py

@@ -30,12 +30,7 @@ for density in densities:
         densityDeviations.append(deviation)
         distances.append(distance)
 
-
+    deviations.append(densityDeviations)
-    del time[-1]
-    del time[-1]
-    firstDeriv=np.diff(densityDeviations)
-    secondDeriv=np.diff(firstDeriv)
-    deviations.append(secondDeriv)
 
 ax=plt.axes()
 # ax.set_yscale("log")

distanceVdensity.py

@@ -36,48 +36,17 @@ for density in densities:
         densityDeviations.append(deviation)
         distances.append(distance)
 
+    for i in range(len(densityDeviations)):
+        if densityDeviations[i] > 0.75:
+            index = i
+            break
 
-    del time[-1]
+    breakupDistances.append(distances[index])
-    del time[-1]
-    firstDeriv=np.diff(densityDeviations)
-    secondDeriv=np.diff(firstDeriv)
 
-    maxIndex=np.argmax(secondDeriv)
-    breakupDistance=distances[maxIndex]
-    breakupDistances.append(breakupDistance)
 
-oneOverDensities = []
-for i in densities:
-    oneOver = 1/i
-    oneOverDensities.append(oneOver)
-
-breakupDistances3 = []
-for i in breakupDistances:
-    cubed = i**3
-    breakupDistances3.append(cubed)
-    
-oneOverTheoreticalDensities = []
-for i in theoreticalDensities:
-    oneOver = 1/i
-    oneOverTheoreticalDensities.append(oneOver)
-
-theoreticalBreakupDistances3 = []
-for i in theoreticalDistances:
-    cubed = i**3
-    theoreticalBreakupDistances3.append(cubed)
-
-a,b = np.polyfit(oneOverDensities, breakupDistances3, 1)
-
-bestFit = []
-for i in oneOverDensities:
-    y = a*i+b
-    bestFit.append(y)
     
 ax=plt.axes()
-# ax.set_yscale("log")
+plt.scatter(densities, breakupDistances)
-# ax.plot(densities, breakupDistances)
+ax.plot(theoreticalDensities, theoreticalDistances)
-plt.scatter(oneOverDensities, breakupDistances3)
-ax.plot(oneOverDensities, bestFit)
-ax.plot(oneOverTheoreticalDensities, theoreticalBreakupDistances3)
 plt.show()