def __init__(self, tree, options):
super(GravitonAnalysis, self).__init__(tree, options)
self.ptbins = ("var", 15, 20, 25, 30, 35, 40, 50, 60, 100, 140, 180,
220, 300, 380, 460, 620, 1000)
self.ptbins = scale_bins(self.ptbins, 1000)
self.ptbins_wide = "var", 15, 45, 60, 80, 120, 200, 400, 1000
self.ptbins_wide = scale_bins(self.ptbins_wide, 1000)
self.etabins_sym = "var", 0., 0.60, 1.37, 1.52, 1.81, 2.37
self.etabins = mirror_bins(self.etabins_sym)
self.etabins_boson = mirror_bins(self.etabins_sym + (3., 3.6, 4.2, 5.))
self.ptbins_fine = double_bins(self.ptbins, 4)
self.etabins_fine = double_bins(self.etabins, 4)
self.etabins_boson_fine = double_bins(self.etabins_boson, 4)
self.tup = TNtuple("smearvars", "smearing variables", "s1:c1:m1d:s2:c2:m2d:mdelta")
# Tasks to run in order
self.tasks.extend([
counts,
plot_phs_els_comb,
])
def __init__(self, tree, options):
super(PurityAnalysis, self).__init__(tree, options)
self.ptbins = ("var", 15, 20, 25, 30, 35, 40, 50, 60, 100, 140, 180,
220, 300, 380, 460, 620, 1000)
self.ptbins = scale_bins(self.ptbins, 1000)
self.ptbins_wide = "var", 15, 45, 60, 80, 120, 200, 400, 1000
self.ptbins_wide = scale_bins(self.ptbins_wide, 1000)
self.etabins_sym = "var", 0., 0.60, 1.37, 1.52, 1.81, 2.37
self.etabins = mirror_bins(self.etabins_sym)
self.etabins_boson = mirror_bins(self.etabins_sym + (3., 3.6, 4.2, 5.))
self.ptbins_fine = double_bins(self.ptbins, 4)
self.etabins_fine = double_bins(self.etabins, 4)
self.etabins_boson_fine = double_bins(self.etabins_boson, 4)
# Tasks to run in order
self.tasks.extend([
counts,
plots,
])
if self.options.obj_selection:
expr = "lambda o: %s" % self.options.obj_selection
args = expr, "<options.obj_selection>", "eval"
self.obj_selection = eval(compile(*args))
else:
self.obj_selection = None
def __init__(self, tree, options):
super(GravitonAnalysis, self).__init__(tree, options)
self.ptbins = ("var", 15, 20, 25, 30, 35, 40, 50, 60, 100, 140, 180,
220, 300, 380, 460, 620, 1000)
self.ptbins = scale_bins(self.ptbins, 1000)
self.ptbins_wide = "var", 15, 45, 60, 80, 120, 200, 400, 1000
self.ptbins_wide = scale_bins(self.ptbins_wide, 1000)
self.mass_log_bins_smaller = log_binning(10, 70, 3000)
self.mass_log_bins_small = log_binning(100, 70, 3000)
self.mass_log_bins = double_bins(self.mass_log_bins_small, 3)
self.etabins_sym = "var", 0., 0.60, 1.37, 1.52, 1.81, 2.37
self.etabins = mirror_bins(self.etabins_sym)
self.etabins_many = double_bins(self.etabins, 3)
# Tasks to run in order
self.tasks.extend([
do_cutflows,
])
def __init__(self, tree, options):
super(PtBumpAnalysis, self).__init__(tree, options)
self.ptbins = ("var", 15, 20, 25, 30, 35, 40, 50, 60, 100, 140, 180,
220, 300, 380, 460, 620, 1000)
self.ptbins = scale_bins(self.ptbins, 1000)
self.ptbins_wide = "var", 15, 45, 60, 80, 120, 200, 400, 1000
self.ptbins_wide = scale_bins(self.ptbins_wide, 1000)
self.etabins_sym = "var", 0., 0.60, 1.37, 1.52, 1.81, 2.37
self.etabins = mirror_bins(self.etabins_sym)
self.etabins_many = double_bins(self.etabins, 3)
# Tasks to run in order
self.tasks.extend([
multi_pt_cutflow,
])