samples_run2_2016.Samples Class Reference

Inheritance diagram for samples_run2_2016.Samples:

Public Member Functions
def	ztt_stitchingweight
def	embedding_ttbarveto_weight
def	tttautau_genmatch
def	embedding_stitchingweight
def	zll_stitchingweight
def	wj_stitchingweight
def	ewkz_zll_stitchingweight
def	ewkz_znn_stitchingweight
def	ewkwm_stitchingweight
def	ewkwp_stitchingweight
def	wgamma_stitchingweight
def	vv_stitchingweight
def	zl_shape_weight
def	zll_zl_shape_weight
def	decay_mode_reweight
def	em_triggerweight_dz_filter
def	__init__
def	get_config
def	projection
def	get_weights_ztt
def	files_data
def	data
def	files_dy_m50
def	files_ztt
def	ztt
def	zttpospol
def	zttnegpol
def	zttposcp
def	zttnegcp
def	files_zll
def	zll
def	zl
def	zj
def	files_ttj
def	ttt
def	files_lfv
def	zmt
def	zet
def	zem
def	ttjj
def	tttautau
def	ttj
def	files_diboson
def	files_vv
def	files_hww_gg
def	hww_gg
def	hww_gg125
def	files_hww_qq
def	hww_qq
def	hww_qq125
def	hww
def	vvt
def	vvj
def	vv
def	files_wj
def	files_wgamma
def	files_wgamma_star
def	files_ewkwm
def	files_ewkwp
def	files_ewkz_zll
def	files_ewkz_znn
def	ewkz
def	wj
def	qcd
def	htt
def	susy
def	httcpeven
def	httcpodd
def	susycpodd
def	httcpmix
def	files_bbh
def	bbh
def	files_ggh
def	files_susy_ggh
def	susy_ggh
def	ggh
def	gghsm
def	gghjhusm
def	gghmm
def	gghjhumm
def	gghps
def	gghjhups
def	files_qqh
def	qqh
def	qqhsm
def	qqhmm
def	qqhps
def	qqhjhusm
def	qqhjhumm
def	qqhjhups
def	vh
def	files_wh_minus
def	files_wh_plus
def	wh
def	files_zh
def	zh
def	ff
def	ewk
Public Member Functions inherited from samples.SamplesBase
def	__init__
def	get_config

Static Public Member Functions
def	root_file_folder
def	artus_file_names
def	ttt_genmatch
def	ttj_genmatch
def	ztt_genchannelmatch
def	ztt_genmatch
def	zl_genmatch
def	zj_genmatch
def	zll_genmatch
def	get_jetbin
Static Public Member Functions inherited from samples.SamplesBase
def	merge_configs
def	cut_string

Public Attributes
	exclude_cuts
	period
	embedding
	ttbar_retuned
	embedding_weight
Public Attributes inherited from samples.SamplesBase
	config
	postfit_scales
	expressions
	exclude_cuts
	period

Static Public Attributes
string	data_format = "MINIAOD"
string	mc_campaign = "RunIISummer16MiniAODv2"

Constructor & Destructor Documentation

def samples_run2_2016.Samples.__init__	(		self,
			embedding = False,
			ttbar_retuned = False,
			embedding_weight = "(1.0)"
	)

Member Function Documentation

def samples_run2_2016.Samples.artus_file_names (   query,   expect_n_results = 1  )

static

def samples_run2_2016.Samples.bbh	(		self,
			config,
			channel,
			category,
			weight,
			nick_suffix,
			higgs_masses,
			normalise_signal_to_one_pb = False,
			lumi = default_lumi,
			exclude_cuts = None,
			cut_type = "baseline",
			kwargs
	)

def samples_run2_2016.Samples.data	(		self,
			config,
			channel,
			category,
			weight,
			nick_suffix,
			exclude_cuts = None,
			cut_type = "baseline",
			kwargs
	)

def samples_run2_2016.Samples.decay_mode_reweight	(		self,
			channel
	)

def samples_run2_2016.Samples.em_triggerweight_dz_filter	(		self,
			channel,
			cut_type
	)

def samples_run2_2016.Samples.embedding_stitchingweight	(		self,
			channel
	)

def samples_run2_2016.Samples.embedding_ttbarveto_weight	(		self,
			channel
	)

def samples_run2_2016.Samples.ewk	(		self,
			config,
			channel,
			category,
			weight,
			nick_suffix,
			lumi = default_lumi,
			exclude_cuts = None,
			cut_type = "baseline",
			fakefactor_method = None,
			kwargs
	)

def samples_run2_2016.Samples.ewkwm_stitchingweight

(

self

)

def samples_run2_2016.Samples.ewkwp_stitchingweight

(

self

)

def samples_run2_2016.Samples.ewkz	(		self,
			config,
			channel,
			category,
			weight,
			nick_suffix,
			lumi = default_lumi,
			exclude_cuts = None,
			cut_type = "baseline",
			fakefactor_method = None,
			kwargs
	)

def samples_run2_2016.Samples.ewkz_zll_stitchingweight

(

self

)

def samples_run2_2016.Samples.ewkz_znn_stitchingweight

(

self

)

def samples_run2_2016.Samples.ff	(		self,
			config,
			channel,
			category,
			weight,
			nick_suffix,
			lumi = default_lumi,
			exclude_cuts = None,
			cut_type = "baseline",
			kwargs
	)

def samples_run2_2016.Samples.files_bbh	(		self,
			channel,
			mass = 125
	)

def samples_run2_2016.Samples.files_data	(		self,
			channel
	)

def samples_run2_2016.Samples.files_diboson	(		self,
			channel
	)

def samples_run2_2016.Samples.files_dy_m50	(		self,
			channel
	)

def samples_run2_2016.Samples.files_ewkwm	(		self,
			channel
	)

def samples_run2_2016.Samples.files_ewkwp	(		self,
			channel
	)

def samples_run2_2016.Samples.files_ewkz_zll	(		self,
			channel
	)

def samples_run2_2016.Samples.files_ewkz_znn	(		self,
			channel
	)

def samples_run2_2016.Samples.files_ggh	(		self,
			channel,
			mass = 125,
			kwargs
	)

def samples_run2_2016.Samples.files_hww_gg	(		self,
			channel,
			mass = 125
	)

def samples_run2_2016.Samples.files_hww_qq	(		self,
			channel,
			mass = 125
	)

def samples_run2_2016.Samples.files_lfv	(		self,
			channel
	)

def samples_run2_2016.Samples.files_qqh	(		self,
			channel,
			mass = 125,
			kwargs
	)

def samples_run2_2016.Samples.files_susy_ggh	(		self,
			channel,
			mass = 125
	)

def samples_run2_2016.Samples.files_ttj	(		self,
			channel
	)

def samples_run2_2016.Samples.files_vv	(		self,
			channel
	)

def samples_run2_2016.Samples.files_wgamma	(		self,
			channel
	)

def samples_run2_2016.Samples.files_wgamma_star	(		self,
			channel
	)

def samples_run2_2016.Samples.files_wh_minus	(		self,
			channel,
			mass = 125
	)

def samples_run2_2016.Samples.files_wh_plus	(		self,
			channel,
			mass = 125
	)

def samples_run2_2016.Samples.files_wj	(		self,
			channel
	)

def samples_run2_2016.Samples.files_zh	(		self,
			channel,
			mass = 125
	)

def samples_run2_2016.Samples.files_zll	(		self,
			channel
	)

def samples_run2_2016.Samples.files_ztt	(		self,
			channel
	)

def samples_run2_2016.Samples.get_config	(		self,
			samples,
			channel,
			category,
			nick_suffix = "",
			postfit_scales = None,
			kwargs
	)

def samples_run2_2016.Samples.get_jetbin (   channel,   category,   weight  )

static

def samples_run2_2016.Samples.get_weights_ztt	(		self,
			channel,
			cut_type,
			weight = "(1.0)",
			mc_sample_weight = "(1.0)",
			doStitching = True,
			kwargs
	)

def samples_run2_2016.Samples.ggh	(		self,
			config,
			channel,
			category,
			weight,
			nick_suffix,
			higgs_masses,
			normalise_signal_to_one_pb = False,
			lumi = default_lumi,
			exclude_cuts = None,
			cut_type = "baseline",
			mssm = False,
			kwargs
	)

def samples_run2_2016.Samples.gghjhumm	(		self,
			config,
			channel,
			category,
			weight,
			nick_suffix,
			higgs_masses,
			normalise_signal_to_one_pb = False,
			lumi = default_lumi,
			exclude_cuts = None,
			cut_type = "baseline",
			mssm = False,
			kwargs
	)

def samples_run2_2016.Samples.gghjhups	(		self,
			config,
			channel,
			category,
			weight,
			nick_suffix,
			higgs_masses,
			normalise_signal_to_one_pb = False,
			lumi = default_lumi,
			exclude_cuts = None,
			cut_type = "baseline",
			mssm = False,
			kwargs
	)

def samples_run2_2016.Samples.gghjhusm	(		self,
			config,
			channel,
			category,
			weight,
			nick_suffix,
			higgs_masses,
			normalise_signal_to_one_pb = False,
			lumi = default_lumi,
			exclude_cuts = None,
			cut_type = "baseline",
			mssm = False,
			kwargs
	)

def samples_run2_2016.Samples.gghmm	(		self,
			config,
			channel,
			category,
			weight,
			nick_suffix,
			higgs_masses,
			normalise_signal_to_one_pb = False,
			lumi = default_lumi,
			exclude_cuts = None,
			cut_type = "baseline",
			mssm = False,
			kwargs
	)

def samples_run2_2016.Samples.gghps	(		self,
			config,
			channel,
			category,
			weight,
			nick_suffix,
			higgs_masses,
			normalise_signal_to_one_pb = False,
			lumi = default_lumi,
			exclude_cuts = None,
			cut_type = "baseline",
			mssm = False,
			kwargs
	)

def samples_run2_2016.Samples.gghsm	(		self,
			config,
			channel,
			category,
			weight,
			nick_suffix,
			higgs_masses,
			normalise_signal_to_one_pb = False,
			lumi = default_lumi,
			exclude_cuts = None,
			cut_type = "baseline",
			mssm = False,
			kwargs
	)

def samples_run2_2016.Samples.htt	(		self,
			config,
			channel,
			category,
			weight,
			nick_suffix,
			higgs_masses,
			normalise_signal_to_one_pb = False,
			lumi = default_lumi,
			exclude_cuts = None,
			additional_higgs_masses_for_shape = [],
			mssm = False,
			normalise_to_sm_xsec = False,
			kwargs
	)

def samples_run2_2016.Samples.httcpeven	(		self,
			config,
			channel,
			category,
			weight,
			nick_suffix,
			higgs_masses,
			normalise_signal_to_one_pb = False,
			lumi = default_lumi,
			exclude_cuts = None,
			cut_type = "baseline",
			mssm = False,
			normalise_to_sm_xsec = True,
			kwargs
	)

def samples_run2_2016.Samples.httcpmix	(		self,
			config,
			channel,
			category,
			weight,
			nick_suffix,
			higgs_masses,
			normalise_signal_to_one_pb = False,
			lumi = default_lumi,
			exclude_cuts = None,
			cut_type = "baseline",
			mssm = False,
			kwargs
	)

def samples_run2_2016.Samples.httcpodd	(		self,
			config,
			channel,
			category,
			weight,
			nick_suffix,
			higgs_masses,
			normalise_signal_to_one_pb = False,
			lumi = default_lumi,
			exclude_cuts = None,
			cut_type = "baseline",
			mssm = False,
			kwargs
	)

def samples_run2_2016.Samples.hww	(		self,
			config,
			channel,
			category,
			weight,
			nick_suffix,
			higgs_masses,
			lumi = default_lumi,
			exclude_cuts = None,
			cut_type = "baseline",
			kwargs
	)

def samples_run2_2016.Samples.hww_gg	(		self,
			config,
			channel,
			category,
			weight,
			nick_suffix,
			higgs_masses,
			lumi = default_lumi,
			exclude_cuts = None,
			cut_type = "baseline",
			kwargs
	)

def samples_run2_2016.Samples.hww_gg125	(		self,
			config,
			channel,
			category,
			weight,
			nick_suffix,
			lumi = default_lumi,
			exclude_cuts = None,
			cut_type = "baseline",
			kwargs
	)

def samples_run2_2016.Samples.hww_qq	(		self,
			config,
			channel,
			category,
			weight,
			nick_suffix,
			higgs_masses,
			lumi = default_lumi,
			exclude_cuts = None,
			cut_type = "baseline",
			kwargs
	)

def samples_run2_2016.Samples.hww_qq125	(		self,
			config,
			channel,
			category,
			weight,
			nick_suffix,
			lumi = default_lumi,
			exclude_cuts = None,
			cut_type = "baseline",
			kwargs
	)

def samples_run2_2016.Samples.projection	(		self,
			kwargs
	)

def samples_run2_2016.Samples.qcd	(		self,
			config,
			channel,
			category,
			weight,
			nick_suffix,
			lumi = default_lumi,
			exclude_cuts = None,
			cut_type = "baseline",
			estimationMethod = "classic",
			controlregions = False,
			kwargs
	)

def samples_run2_2016.Samples.qqh	(		self,
			config,
			channel,
			category,
			weight,
			nick_suffix,
			higgs_masses,
			normalise_signal_to_one_pb = False,
			lumi = default_lumi,
			exclude_cuts = None,
			cut_type = "baseline",
			kwargs
	)

def samples_run2_2016.Samples.qqhjhumm	(		self,
			config,
			channel,
			category,
			weight,
			nick_suffix,
			higgs_masses,
			normalise_signal_to_one_pb = False,
			lumi = default_lumi,
			exclude_cuts = None,
			cut_type = "baseline",
			mssm = False,
			kwargs
	)

def samples_run2_2016.Samples.qqhjhups	(		self,
			config,
			channel,
			category,
			weight,
			nick_suffix,
			higgs_masses,
			normalise_signal_to_one_pb = False,
			lumi = default_lumi,
			exclude_cuts = None,
			cut_type = "baseline",
			mssm = False,
			kwargs
	)

def samples_run2_2016.Samples.qqhjhusm	(		self,
			config,
			channel,
			category,
			weight,
			nick_suffix,
			higgs_masses,
			normalise_signal_to_one_pb = False,
			lumi = default_lumi,
			exclude_cuts = None,
			cut_type = "baseline",
			mssm = False,
			kwargs
	)

def samples_run2_2016.Samples.qqhmm	(		self,
			config,
			channel,
			category,
			weight,
			nick_suffix,
			higgs_masses,
			normalise_signal_to_one_pb = False,
			lumi = default_lumi,
			exclude_cuts = None,
			cut_type = "baseline",
			mssm = False,
			kwargs
	)

def samples_run2_2016.Samples.qqhps	(		self,
			config,
			channel,
			category,
			weight,
			nick_suffix,
			higgs_masses,
			normalise_signal_to_one_pb = False,
			lumi = default_lumi,
			exclude_cuts = None,
			cut_type = "baseline",
			mssm = False,
			kwargs
	)

def samples_run2_2016.Samples.qqhsm	(		self,
			config,
			channel,
			category,
			weight,
			nick_suffix,
			higgs_masses,
			normalise_signal_to_one_pb = False,
			lumi = default_lumi,
			exclude_cuts = None,
			cut_type = "baseline",
			mssm = False,
			kwargs
	)

def samples_run2_2016.Samples.root_file_folder (   channel )

static

def samples_run2_2016.Samples.susy	(		self,
			config,
			channel,
			category,
			weight,
			nick_suffix,
			higgs_masses,
			normalise_signal_to_one_pb = False,
			lumi = default_lumi,
			exclude_cuts = None,
			additional_higgs_masses_for_shape = [],
			mssm = False,
			normalise_to_sm_xsec = False,
			kwargs
	)

def samples_run2_2016.Samples.susy_ggh	(		self,
			config,
			channel,
			category,
			weight,
			nick_suffix,
			higgs_masses,
			normalise_signal_to_one_pb = False,
			lumi = default_lumi,
			exclude_cuts = None,
			cut_type = "baseline",
			mssm = False,
			kwargs
	)

def samples_run2_2016.Samples.susycpodd	(		self,
			config,
			channel,
			category,
			weight,
			nick_suffix,
			higgs_masses,
			normalise_signal_to_one_pb = False,
			lumi = default_lumi,
			exclude_cuts = None,
			cut_type = "baseline",
			mssm = False,
			normalise_to_sm_xsec = True,
			kwargs
	)

def samples_run2_2016.Samples.ttj	(		self,
			config,
			channel,
			category,
			weight,
			nick_suffix,
			lumi = default_lumi,
			exclude_cuts = None,
			cut_type = "baseline",
			estimationMethod = "classic",
			fakefactor_method = None,
			kwargs
	)

def samples_run2_2016.Samples.ttj_genmatch (   channel,   kwargs  )

static

def samples_run2_2016.Samples.ttjj	(		self,
			config,
			channel,
			category,
			weight,
			nick_suffix,
			lumi = default_lumi,
			exclude_cuts = None,
			cut_type = "baseline",
			fakefactor_method = None,
			kwargs
	)

def samples_run2_2016.Samples.ttt	(		self,
			config,
			channel,
			category,
			weight,
			nick_suffix,
			lumi = default_lumi,
			exclude_cuts = None,
			cut_type = "baseline",
			fakefactor_method = None,
			kwargs
	)

def samples_run2_2016.Samples.ttt_genmatch (   channel,   kwargs  )

static

def samples_run2_2016.Samples.tttautau	(		self,
			config,
			channel,
			category,
			weight,
			nick_suffix,
			lumi = default_lumi,
			exclude_cuts = None,
			cut_type = "baseline",
			estimationMethod = "classic",
			fakefactor_method = None,
			kwargs
	)

def samples_run2_2016.Samples.tttautau_genmatch	(		self,
			channel
	)

def samples_run2_2016.Samples.vh	(		self,
			config,
			channel,
			category,
			weight,
			nick_suffix,
			higgs_masses,
			normalise_signal_to_one_pb = False,
			lumi = default_lumi,
			exclude_cuts = None,
			kwargs
	)

def samples_run2_2016.Samples.vv	(		self,
			config,
			channel,
			category,
			weight,
			nick_suffix,
			lumi = default_lumi,
			exclude_cuts = None,
			cut_type = "baseline",
			fakefactor_method = None,
			kwargs
	)

def samples_run2_2016.Samples.vv_stitchingweight

(

self

)

def samples_run2_2016.Samples.vvj	(		self,
			config,
			channel,
			category,
			weight,
			nick_suffix,
			lumi = default_lumi,
			exclude_cuts = None,
			cut_type = "baseline",
			fakefactor_method = None,
			kwargs
	)

def samples_run2_2016.Samples.vvt	(		self,
			config,
			channel,
			category,
			weight,
			nick_suffix,
			lumi = default_lumi,
			exclude_cuts = None,
			cut_type = "baseline",
			fakefactor_method = None,
			kwargs
	)

def samples_run2_2016.Samples.wgamma_stitchingweight

(

self

)

def samples_run2_2016.Samples.wh	(		self,
			config,
			channel,
			category,
			weight,
			nick_suffix,
			higgs_masses,
			normalise_signal_to_one_pb = False,
			lumi = default_lumi,
			exclude_cuts = None,
			cut_type = "baseline",
			kwargs
	)

def samples_run2_2016.Samples.wj	(		self,
			config,
			channel,
			category,
			weight,
			nick_suffix,
			lumi = default_lumi,
			exclude_cuts = None,
			cut_type = "baseline",
			fakefactor_method = None,
			estimationMethod = "classic",
			controlregions = False,
			kwargs
	)

def samples_run2_2016.Samples.wj_stitchingweight

(

self

)

def samples_run2_2016.Samples.zem	(		self,
			config,
			channel,
			category,
			weight,
			nick_suffix,
			lumi = default_lumi,
			exclude_cuts = None,
			cut_type = "baseline",
			fakefactor_method = None,
			kwargs
	)

def samples_run2_2016.Samples.zet	(		self,
			config,
			channel,
			category,
			weight,
			nick_suffix,
			lumi = default_lumi,
			exclude_cuts = None,
			cut_type = "baseline",
			fakefactor_method = None,
			kwargs
	)

def samples_run2_2016.Samples.zh	(		self,
			config,
			channel,
			category,
			weight,
			nick_suffix,
			higgs_masses,
			normalise_signal_to_one_pb = False,
			lumi = default_lumi,
			exclude_cuts = None,
			cut_type = "baseline",
			kwargs
	)

def samples_run2_2016.Samples.zj	(		self,
			config,
			channel,
			category,
			weight,
			nick_suffix,
			lumi = default_lumi,
			exclude_cuts = None,
			cut_type = "baseline",
			kwargs
	)

def samples_run2_2016.Samples.zj_genmatch (   channel )

static

def samples_run2_2016.Samples.zl	(		self,
			config,
			channel,
			category,
			weight,
			nick_suffix,
			lumi = default_lumi,
			exclude_cuts = None,
			cut_type = "baseline",
			kwargs
	)

def samples_run2_2016.Samples.zl_genmatch (   channel )

static

def samples_run2_2016.Samples.zl_shape_weight	(		self,
			channel,
			cut_type
	)

def samples_run2_2016.Samples.zll	(		self,
			config,
			channel,
			category,
			weight,
			nick_suffix,
			lumi = default_lumi,
			exclude_cuts = None,
			cut_type = "baseline",
			fakefactor_method = None,
			kwargs
	)

def samples_run2_2016.Samples.zll_genmatch (   channel )

static

def samples_run2_2016.Samples.zll_stitchingweight

(

self

)

def samples_run2_2016.Samples.zll_zl_shape_weight	(		self,
			channel,
			cut_type
	)

def samples_run2_2016.Samples.zmt	(		self,
			config,
			channel,
			category,
			weight,
			nick_suffix,
			lumi = default_lumi,
			exclude_cuts = None,
			cut_type = "baseline",
			fakefactor_method = None,
			kwargs
	)

def samples_run2_2016.Samples.ztt	(		self,
			config,
			channel,
			category,
			weight,
			nick_suffix,
			lumi = default_lumi,
			exclude_cuts = None,
			cut_type = "baseline",
			kwargs
	)

def samples_run2_2016.Samples.ztt_genchannelmatch (   channel,   category  )

static

def samples_run2_2016.Samples.ztt_genmatch (   channel )

static

def samples_run2_2016.Samples.ztt_stitchingweight

(

self

)

def samples_run2_2016.Samples.zttnegcp	(		self,
			config,
			channel,
			category,
			weight,
			nick_suffix,
			lumi = default_lumi,
			exclude_cuts = None,
			cut_type = "baseline",
			kwargs
	)

def samples_run2_2016.Samples.zttnegpol	(		self,
			config,
			channel,
			category,
			weight,
			nick_suffix,
			lumi = default_lumi,
			exclude_cuts = None,
			cut_type = "baseline",
			kwargs
	)

def samples_run2_2016.Samples.zttposcp	(		self,
			config,
			channel,
			category,
			weight,
			nick_suffix,
			lumi = default_lumi,
			exclude_cuts = None,
			cut_type = "baseline",
			kwargs
	)

def samples_run2_2016.Samples.zttpospol	(		self,
			config,
			channel,
			category,
			weight,
			nick_suffix,
			lumi = default_lumi,
			exclude_cuts = None,
			cut_type = "baseline",
			kwargs
	)

Member Data Documentation

string samples_run2_2016.Samples.data_format = "MINIAOD"

static

samples_run2_2016.Samples.embedding

samples_run2_2016.Samples.embedding_weight

samples_run2_2016.Samples.exclude_cuts

string samples_run2_2016.Samples.mc_campaign = "RunIISummer16MiniAODv2"

static

samples_run2_2016.Samples.period

samples_run2_2016.Samples.ttbar_retuned

---

The documentation for this class was generated from the following file:

• python/plotting/configs/samples_run2_2016.py