def standard_spaces(type): s_spaces={ #eval("\"data_histograms/iHist_m0_m12_%s\" : pd(\"%s\", \"m0\", \"m12\" )" % (type,type) ), "data_histograms/iHist_m0_m12_"+type : pd(type, "m0", "m12" ), # "data_histograms/iHist_m0_tanb_"+type : pd(type, "m0", "tanb" ), # "data_histograms/iHist_tanb_m12_"+type : pd(type, "tanb","m12" ), # "data_histograms/iHist_mA0_tanb_"+type : pd(type, "MA" ,"tanb"), # "data_histograms/iHist_A0_tanb_"+type : pd(type, "A0" ,"tanb"), # "data_histograms/iHist_mhd2_mhu2_"+type : pd(type, "mhd2" ,"mhu2"), } return s_spaces
from config.plot_defaults import getDefaults as pd from collections import OrderedDict def get_higgs_plot(): return higgs_plot higgs_plot = { # "data_histograms/iHist_m_h^0_dchi" : pd( "dchi_red_band", "mh" ), "smooth_histograms/iHist_m_h^0_dchi" : pd( "dchi_red_band", "mh" ), # "data_histograms/iHist_m_h^0_dchi" : pd( "dchi", "mh" ), }
from config.plot_defaults import getDefaults as pd from collections import OrderedDict def get_colour_contour_dict(): return colour, contour contour = [ ["data_histograms/iHist_m0_m12_dchi" , pd("dchi", "m0", "m12" )], # ["data_histograms/iHist_m0_m12_dchi" , pd("dchi", "m0", "m12" )], # ["data_histograms/iHist_m0_m12_dchi" , pd("dchi", "m0", "m12" )], # ["data_histograms/iHist_m0_m12_pred_m_h^0" ,pd("Pm_h0", "m0", "m12" )], # ["data_histograms/iHist_m0_m12_pred_Bsmumu" ,pd("Pbsmm", "m0", "m12" )], # ["data_histograms/iHist_mA0_tanb_dchi" , pd("dchi", "MA" ,"tanb")], # ["data_histograms/iHist_mA0_tanb_dchi" , pd("dchi", "MA" ,"tanb")], # ["data_histograms/iHist_mA0_tanb_dchi" , pd("dchi", "MA" ,"tanb")], # ["data_histograms/iHist_neu1_sigma_pp^SI_cm-2_dchi" , pd("dchi", "mneu1" ,"ssicm")], ] colour =[ # ["data_histograms/iHist_m0_m12_dchi" , pd("dchi", "m0", "m12" )], # ["data_histograms/iHist_m0_m12_dchi" , pd("dchi", "m0", "m12" )], # [ "data_histograms/iHist_m0_m12_pred_MW" , pd("PMW", "m0" ,"m12") ], # [ "data_histograms/iHist_m0_m12_pred_Bsmumu" , pd("Pbsmm", "m0" ,"m12") ], # [ "data_histograms/iHist_m0_m12_pred_tanb" , pd("Ptanb", "m0" ,"m12") ], # [ "data_histograms/iHist_m0_m12_chi2" , pd("chi2", "m0", "m12" ),], # [ "data_histograms/iHist_m0_m12_pred_Oh^2" , pd("POh2", "m0", "m12" ) ], # [ "data_histograms/iHist_m0_m12_pred_m_h^0" , pd("Pm_h0", "m0", "m12" )], # [ "data_histograms/iHist_mA0_tanb_dchi" , pd("dchi", "MA" ,"tanb")], # [ "data_histograms/iHist_mA0_tanb_pred_MW" , pd("PMW", "MA" ,"tanb")], # [ "data_histograms/iHist_mA0_tanb_pred_Bsmumu" , pd("Pbsmm", "MA" ,"tanb")],
from config.plot_defaults import getDefaults as pd def getSpaceDict() : return spaces def get1DDict() : return hists hists = { "data_histograms/iHist_neu1_dchi" : pd( "dchi", "neu1" ), "data_histograms/iHist_m_h^0_dchi" : pd( "dchi", "m_h^0" ) } spaces = { "data_histograms/iHist_m0_m12_chi2" : pd("chi2", "m0", "m12" ), "data_histograms/iHist_m0_m12_pval" : pd("pval", "m0", "m12" ), "data_histograms/iHist_m0_m12_dchi" : pd("dchi", "m0", "m12" ), "data_histograms/iHist_m0_tanb_chi2" : pd("chi2", "m0", "tanb"), "data_histograms/iHist_m0_tanb_pval" : pd("pval", "m0", "tanb"), "data_histograms/iHist_m0_tanb_dchi" : pd("dchi", "m0", "tanb"), "data_histograms/iHist_tanb_m12_chi2" : pd("chi2", "tanb","m12" ), "data_histograms/iHist_tanb_m12_pval" : pd("pval", "tanb","m12" ), "data_histograms/iHist_tanb_m12_dchi" : pd("dchi", "tanb","m12" ), }
from config.plot_defaults import getDefaults as pd from collections import OrderedDict def get_1d_overlay_dict() : return dlh_overlay dlh_overlay = { # "data_histograms/iHist_Bsmumu_dchi" : pd("dchi", "bsmm" ), # "data_histograms/iHist_m_h^0_dchi" : pd( "dchi", "mh" ), # "data_histograms/iHist_BsmumuRatio_dchi" : pd("dchi", "bsmmratio" ), # "data_histograms/iHist_stau_1_dchi" : pd("dchi","mstau1"), # "data_histograms/iHist_gluino_dchi" : pd("dchi", "mg" ), # "data_histograms/iHist_squark_r_dchi" : pd("dchi", "msqr" ), # "data_histograms/iHist_stop1_dchi" : pd("dchi", "stop1" ), "smooth_histograms/iHist_BsmumuRatio_dchi" : pd("dchi", "bsmmratio" ), # "smooth_histograms/iHist_stau_1_dchi" : pd("dchi","mstau1"), # "smooth_histograms/iHist_gluino_dchi" : pd("dchi", "mg" ), # "smooth_histograms/iHist_squark_r_dchi" : pd("dchi", "msqr" ), # "smooth_histograms/iHist_stop1_dchi" : pd("dchi", "stop1" ), ### "data_histograms/iHist_BsmumuRatio_dchi" : pd("dchi", "bsmmratio" ), # "data_histograms/iHist_neu1_dchi" : pd("dchi", "mneu1" ), }
from config.plot_defaults import getDefaults as pd from collections import OrderedDict def get_space_overlay_dict() : return space_overlay space_overlay = { "data_histograms/iHist_m0_m12_dchi" : pd("dchi", "m0", "m12" ), "data_histograms/iHist_m0_tanb_dchi" : pd("dchi", "m0", "tanb" ), "data_histograms/iHist_tanb_m12_dchi" : pd("dchi", "tanb","m12" ), "data_histograms/iHist_mA0_tanb_dchi" : pd("dchi", "MA" ,"tanb"), "data_histograms/iHist_neu1_sigma_pp^SI_cm-2_dchi" : pd("dchi", "mneu1" ,"ssicm"), }
return grid_hists def get_grid_spaces(): return grid_spaces def get_grid_size_x_y(): return grid_size_x_y grid_size_x_y = [26, 5] grid_spaces = OrderedDict() grid_spaces = { "data_histograms/iHist_m0_m12_chi2": pd("chi2", "m0", "m12"), "data_histograms/iHist_m0_m12_dchi": pd("dchi", "m0", "m12"), "data_histograms/iHist_m0_m12_pred_m_h^0": pd("Pm_h0", "m0", "m12"), "data_histograms/iHist_m0_m12_pred_Bsmumu": pd("Pbsmm", "m0", "m12"), "data_histograms/iHist_m0_m12_pred_R(b->sg)": pd("PRbsg", "m0", "m12"), "data_histograms/iHist_m0_m12_pred_R(D_ms)": pd("PRDms", "m0", "m12"), "data_histograms/iHist_m0_m12_pred_R(B->taunu)": pd("PRBtaunu", "m0", "m12"), "data_histograms/iHist_m0_m12_pred_R(B->Xsll)": pd("PRBXsll", "m0", "m12"), "data_histograms/iHist_m0_m12_pred_R(K->lnu)": pd("PRKlnu", "m0", "m12"), "data_histograms/iHist_m0_m12_pred_Delta(g-2)": pd("PDeltag2", "m0", "m12"), "data_histograms/iHist_m0_m12_pred_MW": pd("PMW", "m0", "m12"), "data_histograms/iHist_m0_m12_pred_sintheta_eff": pd("Psintheta_eff", "m0", "m12"), "data_histograms/iHist_m0_m12_pred_Gamma_Z": pd("PGamma_Z", "m0", "m12"), "data_histograms/iHist_m0_m12_pred_Rl": pd("PRl", "m0", "m12"), "data_histograms/iHist_m0_m12_pred_Rb": pd("PRb", "m0", "m12"), "data_histograms/iHist_m0_m12_pred_Rc": pd("PRc", "m0", "m12"),
# "data_histograms/iHist_stau_1_Dm_stau1_neu1_dchi" : pd("dchi","mstau1", "Dm_stau1_neu1"), # "data_histograms/iHist_Dm_stau1_neu1_tanb_dchi" : pd("dchi", "Dm_stau1_neu1", "tanb" ), # "data_histograms/iHist_Dm_stau1_neu1_m_h^0_chi2" : pd("chi2", "Dm_stau1_neu1", "mh" ), # "data_histograms/iHist_Dm_stau1_neu1_tanb_chi2" : pd("chi2", "Dm_stau1_neu1", "tanb" ), # "data_histograms/iHist_Dm_stau1_neu1_tanb_dchi_pred_m_h^0": pd("Pm_h0", "Dm_stau1_neu1", "tanb" ), # "data_histograms/iHist_m0_tanb_dchi" : pd("dchi", "m0", "tanb" ), # "data_histograms/iHist_m0_tanb_chi2" : pd("chi2", "m0", "m12" ), # "data_histograms/iHist_tanb_m12_dchi" : pd("dchi", "tanb","m12" ), # "data_histograms/iHist_tanb_m12_chi2" : pd("chi2", "tanb","m12" ), # "data_histograms/iHist_mA0_tanb_dchi" : pd("dchi", "MA" ,"tanb"), # "data_histograms/iHist_mA0_tanb_chi2" : pd("chi2", "MA" ,"tanb"), ## "data_histograms/iHist_mA0_tanb_pred_m_h^0" : pd("Pm_h0", "MA" ,"tanb"), # "data_histograms/iHist_mA0_tanb_pred_Bsmumu" : pd("Pbsmm", "MA" ,"tanb"), # "data_histograms/iHist_neu1_sigma_pp^SI_dchi" : pd("dchi", "mneu1" ,"ssi"), # "data_histograms/iHist_neu1_sigma_pp^SI_chi2" : pd("chi2", "mneu1" ,"ssi"), "data_histograms/iHist_neu1_sigma_pp^SI_cm-2_dchi" : pd("dchi", "mneu1" ,"ssicm"), # "data_histograms/iHist_neu1_sigma_pp^SI_cm-2_chi2" : pd("chi2", "mneu1" ,"ssicm"), #### "data_histograms/iHist_mA0_tanb_pred_Bsmumu" : pd("Pbsmm", "MA" ,"tanb"), # "data_histograms/iHist_mneu1_ssi_dchi": pd("dchi","mneu1","ssi" ), } def standard_spaces(type): s_spaces={ #eval("\"data_histograms/iHist_m0_m12_%s\" : pd(\"%s\", \"m0\", \"m12\" )" % (type,type) ), "data_histograms/iHist_m0_m12_"+type : pd(type, "m0", "m12" ), # "data_histograms/iHist_m0_tanb_"+type : pd(type, "m0", "tanb" ), # "data_histograms/iHist_tanb_m12_"+type : pd(type, "tanb","m12" ), # "data_histograms/iHist_mA0_tanb_"+type : pd(type, "MA" ,"tanb"), # "data_histograms/iHist_A0_tanb_"+type : pd(type, "A0" ,"tanb"), # "data_histograms/iHist_mhd2_mhu2_"+type : pd(type, "mhd2" ,"mhu2"), }
from config.plot_defaults import getDefaults as pd from collections import OrderedDict def get_raw_smooth(): return raw_smooth raw_smooth=[ # (["data_histograms/iHist_stau_1_dchi" , pd("dchi","mstau1")], # ["smooth_histograms/iHist_stau_1_dchi" , pd("dchi","mstau1")] ), # (["data_histograms/iHist_stop1_dchi" , pd("dchi","stop1")], # ["smooth_histograms/iHist_stop1_dchi" , pd("dchi","stop1")] ), # (["data_histograms/iHist_gluino_dchi" , pd("dchi","mg")], # ["smooth_histograms/iHist_gluino_dchi" , pd("dchi","mg")] ), # (["data_histograms/iHist_squark_r_dchi" , pd("dchi","msqr")], # ["smooth_histograms/iHist_squark_r_dchi" , pd("dchi","msqr")] ), (["data_histograms/iHist_BsmumuRatio_dchi" , pd("dchi", "bsmmratio" )], ["smooth_histograms/iHist_BsmumuRatio_dchi", pd("dchi", "bsmmratio" )] ), # (["data_histograms/iHist_m_h^0_dchi" , pd("dchi_red_band","mh")], # ["smooth_histograms/iHist_m_h^0_dchi" , pd("dchi_red_band","mh")] ), # (["data_histograms/iHist_Dm_stau1_neu1_dchi" , pd( "dchi", "Dm_stau1_neu1" )], # ["smooth_histograms/iHist_Dm_stau1_neu1_dchi" , pd( "dchi", "Dm_stau1_neu1" )]) # (["data_histograms/iHist_Dm_nslp_lsp_dchi" , pd( "dchi", "Dm_nslp_lsp" )], # ["smooth_histograms/iHist_Dm_nslp_lsp_dchi" , pd( "dchi", "Dm_nslp_lsp" )]) ]
return grid_spaces def get_grid_size_x_y(): return grid_size_x_y def get_raw_smooth(): return raw_smooth def get_stau_plots(): return stau_plots grid_size_x_y=[26,5] grid_spaces=OrderedDict() grid_spaces={ "data_histograms/iHist_m0_m12_chi2" : pd("chi2", "m0", "m12" ), "data_histograms/iHist_m0_m12_dchi" : pd("dchi", "m0", "m12" ), "data_histograms/iHist_m0_m12_pred_m_h^0" : pd("Pm_h0", "m0" ,"m12" ), "data_histograms/iHist_m0_m12_pred_Bsmumu" : pd("Pbsmm", "m0" ,"m12") , "data_histograms/iHist_m0_m12_pred_R(b->sg)" : pd("PRbsg", "m0" ,"m12") , "data_histograms/iHist_m0_m12_pred_R(D_ms)" : pd("PRDms", "m0" ,"m12") , "data_histograms/iHist_m0_m12_pred_R(B->taunu)" : pd("PRBtaunu", "m0" ,"m12") , "data_histograms/iHist_m0_m12_pred_R(B->Xsll)" : pd("PRBXsll", "m0" ,"m12") , "data_histograms/iHist_m0_m12_pred_R(K->lnu)" : pd("PRKlnu", "m0" ,"m12") , "data_histograms/iHist_m0_m12_pred_Delta(g-2)" : pd("PDeltag2", "m0" ,"m12") , "data_histograms/iHist_m0_m12_pred_MW" : pd("PMW", "m0" ,"m12") , "data_histograms/iHist_m0_m12_pred_sintheta_eff": pd("Psintheta_eff", "m0" ,"m12") , "data_histograms/iHist_m0_m12_pred_Gamma_Z" : pd("PGamma_Z" , "m0" ,"m12") , "data_histograms/iHist_m0_m12_pred_Rl" : pd("PRl" , "m0" ,"m12") , "data_histograms/iHist_m0_m12_pred_Rb" : pd("PRb" , "m0" ,"m12") , "data_histograms/iHist_m0_m12_pred_Rc" : pd("PRc" , "m0" ,"m12") ,
from config.plot_defaults import getDefaults as pd from collections import OrderedDict def get_1d_dict() : return hists hists = { # "data_histograms/iHist_neu1_dchi" : pd( "dchi", "mneu1" ), # "data_histograms/iHist_Dm_stau1_neu1_dchi" : pd( "dchi", "Dm_stau1_neu1" ), # "smooth_histograms/iHist_Dm_stau1_neu1_dchi" : pd( "dchi", "Dm_stau1_neu1" ), # "smooth_histograms/iHist_Dm_nslp_lsp_dchi" : pd( "dchi", "Dm_nslp_lsp" ), # "data_histograms/iHist_Dm_nslp_lsp_dchi" : pd( "dchi", "Dm_nslp_lsp" ), # "smooth_histograms/iHist_Dm_nslp_lsp_dchi" : pd( "dchi", "Dm_nslp_lsp" ), # "data_histograms/iHist_m_h^0_dchi" : pd( "dchi", "mh" ), "data_histograms/iHist_stau_1_dchi" : pd("dchi","mstau1"), "data_histograms/iHist_gluino_dchi" : pd("dchi", "mg" ), "data_histograms/iHist_squark_r_dchi" : pd("dchi", "msqr" ), "data_histograms/iHist_BsmumuRatio_dchi" : pd("dchi", "bsmmratio" ), "data_histograms/iHist_stop1_dchi" : pd("dchi", "stop1" ), # "data_histograms/iHist_stau_1_chi2" : pd("chi2", "mstau1" ), # "data_histograms/iHist_gluino_chi2" : pd("chi2", "mg" ), # "data_histograms/iHist_squark_r_chi2" : pd("chi2", "msqr" ), # "data_histograms/iHist_BsmumuRatio_chi2" : pd("chi2", "bsmmratio" ), # "data_histograms/iHist_BsmumuRatio_chi2" : pd("chi2", "bsmm" ), # "data_histograms/iHist_stop1_chi2" : pd("chi2", "stop1" ), }