move golemfit test to another repo and slightly reluctantly use american style flavor spelling consistently

1 files changed, 0 insertions, 96 deletions

diff --git a/test/test_LV.py b/test/test_LV.py
deleted file mode 100644
index 72d0a9c..0000000
--- a/test/test_LV.py
+++ /dev/null
@@ -1,96 +0,0 @@
-#!/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)
-