Commit 79b33a66670528797c8ef6ff197974ebdaa3763f
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Include header.
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inst/lat/test/binned_integration.py
| 1 | 1 | #! /usr/bin/env python |
| 2 | - | |
| 2 | +# ========================================================================== | |
| 3 | +# This script tests the binned integration. | |
| 4 | +# | |
| 5 | +# Requires: | |
| 6 | +# - matplotlib | |
| 7 | +# - numpy | |
| 8 | +# | |
| 9 | +# Copyright (C) 2012 Jurgen Knodlseder | |
| 10 | +# | |
| 11 | +# This program is free software: you can redistribute it and/or modify | |
| 12 | +# it under the terms of the GNU General Public License as published by | |
| 13 | +# the Free Software Foundation, either version 3 of the License, or | |
| 14 | +# (at your option) any later version. | |
| 15 | +# | |
| 16 | +# This program is distributed in the hope that it will be useful, | |
| 17 | +# but WITHOUT ANY WARRANTY; without even the implied warranty of | |
| 18 | +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the | |
| 19 | +# GNU General Public License for more details. | |
| 20 | +# | |
| 21 | +# You should have received a copy of the GNU General Public License | |
| 22 | +# along with this program. If not, see <http://www.gnu.org/licenses/>. | |
| 23 | +# | |
| 24 | +# ========================================================================== | |
| 3 | 25 | from gammalib import * |
| 4 | 26 | from math import * |
| 5 | 27 | import os |
| ... | ... | @@ -222,19 +244,19 @@ if __name__ == '__main__': |
| 222 | 244 | energy.append(ebds.elogmean(i).MeV()) |
| 223 | 245 | |
| 224 | 246 | # Perform integrations |
| 225 | - analytical = int_analytical(ebds, gamma) | |
| 226 | - trapezoid = int_trapezoid(ebds, gamma) | |
| 247 | + analytical = int_analytical(ebds, gamma) | |
| 248 | + trapezoid = int_trapezoid(ebds, gamma) | |
| 227 | 249 | log_trapezoid = int_log_trapezoid(ebds, gamma) |
| 228 | - mean = int_mean(ebds, gamma) | |
| 229 | - logmean = int_logmean(ebds, gamma) | |
| 230 | - geometric = int_geometric(ebds, gamma) | |
| 250 | + mean = int_mean(ebds, gamma) | |
| 251 | + logmean = int_logmean(ebds, gamma) | |
| 252 | + geometric = int_geometric(ebds, gamma) | |
| 231 | 253 | |
| 232 | 254 | # Compute differences |
| 233 | - diff_trapezoid = [] | |
| 255 | + diff_trapezoid = [] | |
| 234 | 256 | diff_log_trapezoid = [] |
| 235 | - diff_mean = [] | |
| 236 | - diff_logmean = [] | |
| 237 | - diff_geometric = [] | |
| 257 | + diff_mean = [] | |
| 258 | + diff_logmean = [] | |
| 259 | + diff_geometric = [] | |
| 238 | 260 | for i in range(ebds.size()): |
| 239 | 261 | diff_trapezoid.append(trapezoid[i] / analytical[i]) |
| 240 | 262 | diff_log_trapezoid.append(log_trapezoid[i] / analytical[i]) | ... | ... |