From d33c0bebaf2f4da5754804f4f2f4581cd810efbb Mon Sep 17 00:00:00 2001
From: Thomas Fitoussi <tfitoussi@mailoo.org>
Date: Fri, 20 Mar 2015 17:35:15 +0100
Subject: [PATCH] Add time distribution script    - dN/dt versus t

---
 Constantes.py        |  1 +
 Constantes.pyc       | Bin 1491 -> 0 bytes
 Time_distribution.py | 75 +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
 3 files changed, 76 insertions(+), 0 deletions(-)
 create mode 100755 Time_distribution.py

diff --git a/Constantes.py b/Constantes.py
index fe151b7..cd78a45 100644
--- a/Constantes.py
+++ b/Constantes.py
@@ -15,6 +15,7 @@ lambdaC=hb/(m*c)
 Mpc=(3.0856776e+16)*1e8 # Mpc to cm
 erg_to_GeV=1/(1.602176565e-3)
 degre=180/pi
+s_to_yr=3600*24*365.25
 
 # Cosmology
 a0=1.
diff --git a/Constantes.pyc b/Constantes.pyc
index f800ccc..d643a8b 100644
Binary files a/Constantes.pyc and b/Constantes.pyc differ
diff --git a/Time_distribution.py b/Time_distribution.py
new file mode 100755
index 0000000..81ed658
--- /dev/null
+++ b/Time_distribution.py
@@ -0,0 +1,75 @@
+#!/usr/bin/python
+
+from sys import argv
+import os.path
+import numpy as np
+from scipy.optimize import curve_fit
+import matplotlib.pyplot as plt
+from Constantes import s_to_yr
+
+if argv[1] == "EGMF":
+   fileName="Results_EGMF"
+elif argv[1] == "EBL":
+   fileName="Results_EBL"
+   B=10**(-15)
+   Model=["Kneiske and Doll - 'best fit'","Kneiske and Doll - 'lower limit'",
+         "Franceschini","Finke and Al","Gilmore and Al","Dominguez and Al"]
+else:
+   print "Used: ./Energy_distribution.py arg1 ind1 ind2 ..."
+   print "        arg1 = EGMF or EBL "
+   print "        ind1 = file number \n"
+   print "Examples: "
+   print "   to study EGMF14: ./Energy_distribution.py EGMF 14 "
+   print "   to study EBL1 and EBL2: ./Energy_distribution.py EBL 1 2 \n"
+   exit()
+
+# figure: energy distribution
+#=============================
+nbBins = 200
+convert= 180/np.pi
+color=['b','r','g','c','m','y']
+
+fig = plt.figure()
+ax = fig.add_subplot(111)
+
+time= np.loadtxt(fileName+argv[2]+"/Results_position",unpack=True,usecols=[0])
+tmax = max(time)
+tmin = min(time) 
+print tmin, tmax
+
+ind = 0
+for fileId in argv[2:]:
+   time= np.loadtxt(fileName+fileId+"/Results_position",unpack=True,usecols=[0])
+   weight,gen=np.loadtxt(fileName+fileId+"/Results_extra",unpack=True,usecols=[2,3])
+
+   cond=(gen<8)
+   time=time[cond]
+   weight=weight[cond]
+
+   print "data shape",fileName+fileId,":", np.shape(time) 
+
+   dN,dt=np.histogram(time,nbBins,range=(tmin,tmax),weights=weight)
+   timecenter=(dt[1:nbBins+1]+dt[0:nbBins])/2
+   binSize=dt[1:nbBins+1]-dt[0:nbBins]
+   dNdt=dN/binSize
+
+   if argv[1] == "EGMF":
+      #ax.hist(time,nbBins,weights=weight,range=(tmin,tmax),log=1,facecolor=color[ind],alpha=.5,
+      #   label="$10^{-%.0f"%float(fileId)+"}$Gauss")
+      ax.plot(timecenter[dNdt!=0],dNdt[dNdt!=0],"-"+color[ind],
+         label="$10^{-%.0f"%float(fileId)+"}$Gauss")
+   elif argv[1] == "EBL":
+      #plt.hist(time,nbBins,weights=weight,range=(tmin,tmax),log=1,facecolor=color[ind],alpha=.5,
+      ax.plot(timecenter,dNdt,"."+color[ind],
+         label=Model[int(fileId)-1])
+
+   ind=ind+1
+
+#ax.set_xscale('log')
+#ax.set_yscale('log')
+ax.grid(b=True,which='major')
+ax.legend(loc="best")
+ax.set_xlabel("Time [yr]")
+ax.set_ylabel("$dN/dt$ [yr$^{-1}$]")
+
+plt.show()
--
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