From f986c3dfed9b5ae8b8ba0e072545ecf98aa6e5b1 Mon Sep 17 00:00:00 2001
From: Jost Migenda <jost.migenda@kcl.ac.uk>
Date: Tue, 16 Jun 2020 17:38:41 +0200
Subject: [PATCH] =?UTF-8?q?remove=20outdated=20plotting=20script=20I=20use?=
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---
 verification_plots.py | 119 ------------------------------------------
 1 file changed, 119 deletions(-)
 delete mode 100644 verification_plots.py

diff --git a/verification_plots.py b/verification_plots.py
deleted file mode 100644
index 4932ca0..0000000
--- a/verification_plots.py
+++ /dev/null
@@ -1,119 +0,0 @@
-#!usr/bin/python
-"""
-Plot energy and event rate of generated events.
-
-This is useful to check results of event generation phase. See
-`python verification_plots.py -h` for usage information.
-"""
-
-import matplotlib.pyplot as plt
-import numpy as np
-from optparse import OptionParser
-
-parser = OptionParser()
-
-optdefault = "tmp_ibd_eb.txt"
-parser.add_option("-i", "--input", dest="input",
-                  help="File containing events to plot. Default: '%s'." \
-                      % optdefault,
-                  metavar="FILENAME",
-                  default=optdefault)
-
-parser.add_option("-a", "--all", dest="show_all",
-                  help="Show all plots. Off by default.",
-                  default=False, action="store_true")
-
-parser.add_option("--spectrum", dest="show_spectrum",
-                  help="Show time-integrated energy spectrum. Off by default.",
-                  default=False, action="store_true")
-
-parser.add_option("--meanene", dest="show_meanene",
-                  help="Show mean energy in each time bin. Off by default.",
-                  default=False, action="store_true")
-
-parser.add_option("--evtcount", dest="show_evtcount",
-                  help="Show event count in each time bin. Off by default.",
-                  default=False, action="store_true")
-
-(options, args) = parser.parse_args()
-
-if options.show_all:
-    options.show_spectrum = True
-    options.show_meanene  = True
-    options.show_evtcount = True
-
-# Get energy and time of generated events.
-energy = []
-time = []
-with open(options.input) as data: # for elastic scattering: "tmp_es_ee.txt"
-    for line in data:
-        if line.startswith("#"): continue # ignore comments
-        t, _, e, _, _, _ = line.split(",")
-        energy.append(float(e))
-        time.append(float(t))
-
-# Get event counts and mean energies for each time bin.
-bin_width = 10 # time interval in ms
-t_max = 320
-bin_nr = t_max / bin_width
-total_energy = [0] * bin_nr
-n_evt = [0] * bin_nr
-
-for (t, e) in zip(time, energy):
-    if t >= t_max or t < 0:
-        continue
-
-    j = int(t / bin_width)
-    total_energy[j] += e
-    n_evt[j] += 1
-
-mean_energy = []
-for j in range(bin_nr):
-    if n_evt[j] == 0:
-        mean_energy.append(0)
-    else:
-        mean_energy.append(total_energy[j] / n_evt[j])
-
-
-# import data from pre-processed supernova simulation data (in Gamma format)
-# sim_mean_energies = []
-# sim_times = []
-# with open("infile_eb.txt") as data2:
-#     for line in data2:
-#         if line.startswith("#"): continue # ignore comments
-#         t, mean_energy, _, _ = line.split(",")
-#         sim_times.append(float(t) * 1000) # convert to ms
-#         sim_mean_energies.append(float(mean_energy))
-
-if options.show_spectrum:
-    # plot energy spectrum
-    plt.title("Energy spectrum")
-    plt.ylabel("Events")
-    plt.xlabel("Energy (MeV)")
-    plt.hist(energy, bins=50, histtype="step")
-    plt.show()
-
-    # as above, but with logarithmic y-axis
-    plt.title("Energy spectrum (log)")
-    plt.ylabel("Events")
-    plt.xlabel("Energy (MeV)")
-    plt.hist(energy, bins=50, histtype="step", log=(True))
-    plt.show()
-
-if options.show_meanene:
-    # plot energy against time for charged particles (and neutrinos from supernova simulation)
-    plt.title("Mean energy of charged particle")
-    plt.ylabel("Mean energy (MeV)")
-    plt.xlabel("Time (ms)")
-    plt.plot(range(0, t_max, bin_width), mean_energy)
-    # plt.plot(sim_times, sim_mean_energies, 'r') # adds a plot of the neutrino energies direct from the supernova simulation data
-    plt.show()
-
-if options.show_evtcount:
-    plt.title("Event count per bin")
-    plt.ylabel("Events")
-    plt.xlabel("Time (ms)")
-    plt.plot(range(0, t_max, bin_width), n_evt)
-    plt.xscale('log')
-    plt.yscale('log')
-    plt.show()