diff options
Diffstat (limited to 'utils/gf.py')
| -rw-r--r-- | utils/gf.py | 13 |
1 files changed, 2 insertions, 11 deletions
diff --git a/utils/gf.py b/utils/gf.py index 3fb063b..5ad2869 100644 --- a/utils/gf.py +++ b/utils/gf.py @@ -32,33 +32,24 @@ def steering_params(args): # params.fastmode = False # params.readCompact = True params.readCompact = False - params.do_HESE_reshuffle = False - params.sampleToLoad = gf.sampleTag.HESE params.simToLoad= steering_categ.name.lower() params.evalThreads = args.threads # params.evalThreads = thread_factors(args.threads)[1] - params.baseline_astro_spectral_index = -2. params.spline_hole_ice = True params.spline_dom_efficiency = True - if steering_categ == SteeringCateg.LONGLIFE: - params.years = [999] - params.simToLoad= 'p2_0' - elif steering_categ == SteeringCateg.DPL: - params.diffuse_fit_type = gf.DiffuseFitType.DoublePowerLaw - params.simToLoad= 'p2_0' return params def set_up_as(fitter, params): print 'Injecting the model', params - asimov_params = gf.FitParameters() + asimov_params = gf.FitParameters(gf.sampleTag.HESE) for parm in params: asimov_params.__setattr__(parm.name, parm.value) fitter.SetupAsimov(asimov_params) def get_llh(fitter, params): - fitparams = gf.FitParameters() + fitparams = gf.FitParameters(gf.sampleTag.HESE) for parm in params: fitparams.__setattr__(parm.name, parm.value) return fitter.EvalLLH(fitparams) |