1 files changed, 0 insertions, 80 deletions
diff --git a/test/test_gf_freq.py b/test/test_gf_freq.py
deleted file mode 100644
index e6ca5f4..0000000
--- a/test/test_gf_freq.py
+++ /dev/null
@@ -1,80 +0,0 @@
-import GolemFitPy as gf
-
-FASTMODE = False
-
-def steering_params():
-    steering_categ = 'p2_0'
-    params = gf.SteeringParams(gf.sampleTag.MagicTau)
-    params.quiet = False
-    if FASTMODE:
-        params.fastmode = True
-    else:
-        params.fastmode = False
-    params.simToLoad= steering_categ.lower()
-    params.evalThreads = 4
-    params.minFitEnergy = 6E4 # GeV
-    params.maxFitEnergy = 1E7 # GeV
-    params.load_data_from_text_file = False
-    params.do_HESE_reshuffle=False
-    params.use_legacy_selfveto_calculation = False
-    return params
-
-def setup_fitter():
-    datapaths = gf.DataPaths()
-    sparams = steering_params()
-    npp = gf.NewPhysicsParams()
-    fitter = gf.GolemFit(datapaths, sparams, npp)
-    return fitter
-
-def fit_flags(fitter):
-    default_flags = {
-        # False means it's not fixed in minimization
-        'astroFlavorAngle1'         : False,
-        'astroFlavorAngle2'         : False,
-        'astroNorm'                 : True,
-    }
-    flags = gf.FitParametersFlag()
-    gf_nuisance = []
-    for param in default_flags.keys():
-        if default_flags[param]:
-            flags.__setattr__(param, True)
-        else:
-            print 'Setting param {0:<15} to float in the ' \
-                'minimisation'.format(param)
-            flags.__setattr__(param, False)
-    fitter.SetFitParametersFlag(flags)
-
-def setup_asimov(fitter, params):
-    print 'Injecting the model', params
-    asimov_params = gf.FitParameters(gf.sampleTag.MagicTau)
-    for x in params.keys():
-        asimov_params.__setattr__(x, float(params[x]))
-    fitter.SetupAsimov(asimov_params)
-
-def get_bf_freq(fitter):
-    bf = fitter.MinLLH()
-    return bf
-
-# Setup fitter
-fitter = setup_fitter()
-fit_flags(fitter)
-
-params = {'astroFlavorAngle1': 4/9., 'astroFlavorAngle2': 0.}
-print
-setup_asimov(fitter, params)
-print 'fitting...'
-bf = get_bf_freq(fitter)
-print 'bestfit params = astroFlavorAngle1:', bf.params.astroFlavorAngle1, \
-      ', astroFlavorAngle2:', bf.params.astroFlavorAngle2
-print 'bestfit llh =', -bf.likelihood
-print
-
-params = {'astroFlavorAngle1': 2/6., 'astroFlavorAngle2': 1/2.}
-print
-setup_asimov(fitter, params)
-print 'fitting...'
-bf = get_bf_freq(fitter)
-print 'bestfit params = astroFlavorAngle1:', bf.params.astroFlavorAngle1, \
-      ', astroFlavorAngle2:', bf.params.astroFlavorAngle2
-print 'bestfit llh =', -bf.likelihood
-print