Sun May 6 21:22:46 CDT 2018

1 files changed, 96 insertions, 0 deletions

diff --git a/test/test_LV.py b/test/test_LV.py
new file mode 100644
index 0000000..72d0a9c
--- /dev/null
+++ b/test/test_LV.py
@@ -0,0 +1,96 @@
+#!/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()
+
+fig = plt.figure(figsize=[12, 8])
+ax = fig.add_subplot(111)
+ax.set_xscale('log')
+ax.set_yscale('log')
+
+npp = gf.NewPhysicsParams()
+npp.type = gf.NewPhysicsType.None
+# npp.n_lv = 1
+# npp.lambda_1 = 1.e100
+# npp.lambda_2 = 1.e100
+
+golem = gf.GolemFit(dp, steer, npp)
+
+binning = golem.GetEnergyBinsMC()
+ax.set_xlim(binning[0], binning[-1])
+# ax.set_ylim(binning[0], binning[-1])
+
+fit_params = gf.FitParameters(gf.sampleTag.HESE)
+golem.SetupAsimov(fit_params)
+
+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 min_llh', golem.MinLLH().likelihood
+print 'NULL expectation', exp
+print
+
+npp = gf.NewPhysicsParams()
+npp.type = gf.NewPhysicsType.LorentzViolation
+npp.n_lv = 1
+npp.lambda_1 = 1.e20
+npp.lambda_2 = 1.e20
+
+golem.SetNewPhysicsParams(npp)
+
+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='1e-20 LV', linestyle='--')
+
+print '1e20 LV min_llh', golem.MinLLH().likelihood
+print '1e20 LV expectation', exp
+
+npp = gf.NewPhysicsParams()
+npp.type = gf.NewPhysicsType.LorentzViolation
+npp.n_lv = 1
+npp.lambda_1 = 1.e10
+npp.lambda_2 = 1.e10
+
+golem.SetNewPhysicsParams(npp)
+
+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='1e-10 LV', linestyle='--')
+
+print '1e10 LV min_llh', golem.MinLLH().likelihood
+print '1e10 LV expectation', exp
+
+npp = gf.NewPhysicsParams()
+npp.type = gf.NewPhysicsType.LorentzViolation
+npp.n_lv = 1
+npp.lambda_1 = 1.e-20
+npp.lambda_2 = 1.e-20
+
+golem.SetNewPhysicsParams(npp)
+
+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.png', bbox_inches='tight', dpi=250)
+