Sun May 6 21:22:46 CDT 2018

1 files changed, 106 insertions, 0 deletions

diff --git a/test/test_NSI.py b/test/test_NSI.py
new file mode 100644
index 0000000..d144420
--- /dev/null
+++ b/test/test_NSI.py
@@ -0,0 +1,106 @@
+#!/usr/bin/env python
+
+from __future__ import absolute_import, division
+
+import numpy as np
+import matplotlib
+matplotlib.use('Agg')
+import matplotlib.pyplot as plt
+from matplotlib import rc
+
+import GolemFitPy as gf
+
+rc('text', usetex=True)
+rc('font', **{'family':'serif', 'serif':['Computer Modern'], 'size':18})
+
+dp = gf.DataPaths()
+steer = gf.SteeringParams()
+npp = gf.NewPhysicsParams()
+
+steer.quiet = False
+steer.fastmode = True
+
+golem = gf.GolemFit(dp, steer, npp)
+
+fit_params = gf.FitParameters(gf.sampleTag.HESE)
+golem.SetupAsimov(fit_params)
+
+fig = plt.figure(figsize=[6, 5])
+ax = fig.add_subplot(111)
+ax.set_xscale('log')
+ax.set_yscale('log')
+
+binning = golem.GetEnergyBinsMC()
+ax.set_xlim(binning[0], binning[-1])
+# ax.set_ylim(binning[0], binning[-1])
+
+print 'NULL min_llh', golem.MinLLH().likelihood
+
+# exp = np.sum(golem.GetExpectation(fit_params), axis=(0, 1, 2, 3))
+# ax.step(binning, np.concatenate([[exp[0]], exp]), alpha=1,
+#         drawstyle='steps-pre', label='NULL', linestyle='--')
+
+# print 'NULL expectation', exp
+print
+
+npp.type = gf.NewPhysicsType.NonStandardInteraction
+npp.epsilon_mutau = 0.1
+golem.SetNewPhysicsParams(npp)
+
+print '0.1 mutau min_llh', golem.MinLLH().likelihood
+
+# exp = np.sum(golem.GetExpectation(fit_params), axis=(0, 1, 2, 3))
+# ax.step(binning, np.concatenate([[exp[0]], exp]), alpha=1,
+#         drawstyle='steps-pre', label='0.1 mutau', linestyle='--')
+
+# print '0.1 mutau expectation', exp
+print
+
+np.epsilon_mutau = 0.2
+golem.SetNewPhysicsParams(npp)
+
+print '0.2 mutau min_llh', golem.MinLLH().likelihood
+
+# exp = np.sum(golem.GetExpectation(fit_params), axis=(0, 1, 2, 3))
+# ax.step(binning, np.concatenate([[exp[0]], exp]), alpha=1,
+#         drawstyle='steps-pre', label='0.2 mutau', linestyle='--')
+
+# print '0.2 mutau expectation', exp
+print
+
+np.epsilon_mutau = 0.3
+golem.SetNewPhysicsParams(npp)
+
+print '0.3 mutau min_llh', golem.MinLLH().likelihood
+
+# exp = np.sum(golem.GetExpectation(fit_params), axis=(0, 1, 2, 3))
+# ax.step(binning, np.concatenate([[exp[0]], exp]), alpha=1,
+#         drawstyle='steps-pre', label='0.3 mutau', linestyle='--')
+
+# print '0.3 mutau expectation', exp
+print
+
+np.epsilon_mutau = 0.4
+golem.SetNewPhysicsParams(npp)
+
+print '0.4 mutau min_llh', golem.MinLLH().likelihood
+
+# exp = np.sum(golem.GetExpectation(fit_params), axis=(0, 1, 2, 3))
+# ax.step(binning, np.concatenate([[exp[0]], exp]), alpha=1,
+#         drawstyle='steps-pre', label='0.4 mutau', linestyle='--')
+
+# print '0.4 mutau expectation', exp
+print
+
+ax.tick_params(axis='x', labelsize=12)
+ax.tick_params(axis='y', labelsize=12)
+ax.set_xlabel(r'Deposited energy / GeV')
+ax.set_ylabel(r'Events')
+for xmaj in ax.xaxis.get_majorticklocs():
+    ax.axvline(x=xmaj, ls=':', color='gray', alpha=0.7, linewidth=1)
+for ymaj in ax.yaxis.get_majorticklocs():
+    ax.axhline(y=ymaj, ls=':', color='gray', alpha=0.7, linewidth=1)
+
+legend = ax.legend(prop=dict(size=12))
+fig.savefig('test_NSI.png', bbox_inches='tight', dpi=250)
+