Functions
def	open_url (url, username, password)

def	all_pairs (L)

def	open_url_curl (url, args=[])

def	test_and_switch_param (common_output_table_header, test, switch)

def	compare_plots_one_param_pdf (list_of_pos_by_name, param, analyticPDF=None)
	Plots a gaussian kernel density estimate for a set of Posteriors onto the same axis. More...

def	compare_plots_one_param_line_hist (list_of_pos_by_name, param, cl, color_by_name, cl_lines_flag=True, legend='right', analyticPDF=None)
	Plots a gaussian kernel density estimate for a set of Posteriors onto the same axis. More...

def	compute_ks_pvalue_matrix (list_of_pos_by_name, param)
	Returns a matrix of ks p-value tests between pairs of posteriors on the 1D marginalized distributions for param. More...

def	compare_plots_one_param_line_hist_cum (list_of_pos_by_name, param, cl, color_by_name, cl_lines_flag=True, analyticCDF=None, legend='auto')
	Plots a gaussian kernel density estimate for a set of Posteriors onto the same axis. More...

def	compare_bayes (outdir, names_and_pos_folders, injection_path, eventnum, username, password, reload_flag, clf, ldg_flag, contour_figsize=(4.5, 4.5), contour_dpi=250, contour_figposition=[0.15, 0.15, 0.5, 0.75], fail_on_file_err=True, covarianceMatrices=None, meanVectors=None, Npixels2D=50)

def	output_confidence_levels_tex (clevels, outpath)
	Outputs a LaTeX table of parameter and run medians and confidence levels. More...

def	output_confidence_levels_dat (clevels, outpath)
	Outputs a LaTeX table of parameter and run medians and confidence levels. More...

def	output_confidence_uncertainty (cluncertainty, outpath)

Variables
list	oneDMenu = ['mtotal','m1','m2','mchirp','mc','chirpmass','distance','distMPC','dist','iota','psi','eta','q','asym_massratio','spin1','spin2','a1','a2','phi1','theta1','phi2','theta2','costilt1','costilt2','costhetas','cosbeta','phi_orb', 'lambdat', 'dlambdat', 'lambda1', 'lambda2', 'lam_tilde', 'dlam_tilde','theta_jn','a1z','a2z'] + bppu.spininducedquadParams + bppu.snrParams + bppu.spinParams + bppu.cosmoParam + bppu.calParams + bppu.tigerParams + bppu.lorentzInvarianceViolationParams + bppu.qnmtestParams

list	twoDGreedyMenu = [['mc','eta'],['mchirp','eta'],['chirpmass','eta'],['mc','q'],['mchirp','q'],['chirpmass','q'],['mc','asym_massratio'],['mchirp','asym_massratio'],['chirpmass','asym_massratio'],['m1','m2'],['mtotal','eta'],['distance','iota'],['dist','iota'],['dist','m1'],['ra','dec'],['dist','cos(iota)'],['phi_orb','iota'],['theta_jn','dist'],['spin1','spin2'],['spin1','mchirp'],['spin1','m1'],['a1','a2'],['a1','mchirp'],['a1','m1'],['tilt1','tilt2'],['tilt1','mchirp'],['tilt1','m1'],['a1z','a2z']]

dictionary	paramNameLatexMap

list	clTableParams = ['mchirp', 'mc', 'chirpmass', 'eta', 'q', 'm1', 'm2', 'distance', 'distMPC', 'dist', 'cos(iota)', 'iota', 'theta_jn', 'psi', 'ra', 'dec', 'time', 'phase', 'a1', 'a2', 'costilt1', 'costilt2','dchiMinus2','dchiMinus1','dchi0','dchi1','dchi2','dchi3','dchi3S','dchi3NS','dchi4','dchi4S','dchi4NS','dchi5','dchi5S','dchi5NS','dchi5l','dchi5lS','dchi5lNS','dchi6','dchi6S','dchi6NS','dchi6l','dchi7','dchi7S','dchi7NS','dbeta2','dbeta3','dsigma2','dsigma3','dsigma4','dbeta2','dbeta3', 'log10lambda_eff','log10lambda_a','log10livamp','lambda_eff','lambda_a','liv_amp','dquadmons','dchikappaS','dchikappaA','domega220', 'dtau220', 'domega210', 'dtau210', 'domega330', 'dtau330', 'domega440', 'dtau440', 'domega550', 'dtau550', 'db1', 'db2', 'db3', 'db4', 'dc1', 'dc2', 'dc4', 'dcl']

dictionary	greedyBinSizes = {'mc':0.001,'m1':0.1,'m2':0.1,'mass1':0.1,'mass2':0.1,'mtotal':0.1,'eta':0.001,'q':0.001,'asym_massratio':0.001,'iota':0.05,'time':1e-4,'distance':5.0,'dist':1.0,'mchirp':0.01,'chirpmass':0.01,'a1':0.02,'a2':0.02,'phi1':0.05,'phi2':0.05,'theta1':0.05,'theta2':0.05,'ra':0.05,'dec':0.005,'psi':0.1,'cos(iota)':0.01, 'cos(tilt1)':0.01, 'cos(tilt2)':0.01, 'tilt1':0.05, 'tilt2':0.05, 'cos(thetas)':0.01, 'cos(beta)':0.01,'phi_orb':0.2,'inclination':0.05,'theta_jn':0.05,'spin1':0.02,'spin2':0.02}

list	OneDconfidenceLevels = [0.9]

list	TwoDconfidenceLevels = OneDconfidenceLevels

list	twoDplots = [['m1','m2'],['mass1','mass2'],['RA','dec'],['ra','dec'],['cos(thetas)','cos(beta)'],['distance','iota'],['dist','iota'],['dist','cosiota'],['distance','cosiota'],['psi','iota'],['psi','distance'],['psi','phi0'],['dist','cos(iota)'],['phi_orb','iota'],['distance','inclination'],['dist','inclination'],['theta_jn','dist'],['spin1','spin2'],['spin1','mchirp'],['spin1','m1'],['a1','a2'],['a1','mchirp'],['a1','m1'],['tilt1','tilt2'],['tilt1','mchirp'],['tilt1','m1']]

list	allowed_params = ['mtotal','m1','m2','mchirp','mc','chirpmass','q','asym_massratio','distance','distMPC','dist','iota','psi','eta','ra','dec','a1','a2','spin1','spin2','phi1','theta1','phi2','theta2','cos(iota)','cos(tilt1)','cos(tilt2)','tilt1','tilt2','cos(thetas)','cos(beta)','phi_orb','inclination', 'logl', 'lambdat', 'dlambdat', 'lambda1', 'lambda2', 'lam_tilde', 'dlam_tilde','theta_jn','a1z','a2z','dquadmons','dquadmona','dquadmon1','dquadmon2']+bppu.snrParams + bppu.spinParams + bppu.cosmoParam + bppu.calParams + bppu.tigerParams

	parser = OptionParser()

	dest

	help

	metavar

	action

	default

	True

	False

	None

	type

	opts

	args

	outpath = os.getcwd()

list	names = []

	pos_list

	greedy2savepaths

	oned_data

	confidence_uncertainty

	confidence_levels

	max_logls

	dics

	ldg_flag

	contour_figsize

	contour_dpi

	contour_figposition

	fail_on_file_err

	readFileErr

	covarianceMatrices

	meanVectors

	Npixels2D

	compare_page = bppu.htmlPage('Compare PDFs (single event)',css=bppu.__default_css_string)
	Print Confidence Levels######. More...

	param_section = compare_page.add_section('Meta')

string	param_section_write = '<div><p>This comparison was created from the following analyses</p>'

	save_paths

	cl_table_str

	ks_table_str

	cl_uncer_str

bool	clf_toggle = False

	head

	plotfile

	temp

	param_name = param_name.split('.')[0]

	compare_page_footer = compare_page.add_section('')

	cc_args = copy.deepcopy(sys.argv)

	user_idx = cc_args.index('-u')

	pass_idx = cc_args.index('-x')

string	cc_args_str = ''

	resultspage = open(os.path.join(outpath,'index.html'),'w')

Function Documentation

◆ open_url()

def cbcBayesCompPos.open_url	(	url,
		username,
		password
	)

Definition at line 101 of file cbcBayesCompPos.py.

◆ all_pairs()

def cbcBayesCompPos.all_pairs ( L )

Definition at line 145 of file cbcBayesCompPos.py.

◆ open_url_curl()

def cbcBayesCompPos.open_url_curl	(	url,
		args = `[]`
	)

Definition at line 150 of file cbcBayesCompPos.py.

◆ test_and_switch_param()

def cbcBayesCompPos.test_and_switch_param	(	common_output_table_header,
		test,
		switch
	)

Definition at line 159 of file cbcBayesCompPos.py.

◆ compare_plots_one_param_pdf()

def cbcBayesCompPos.compare_plots_one_param_pdf	(	list_of_pos_by_name,
		param,
		analyticPDF = `None`
	)

Plots a gaussian kernel density estimate for a set of Posteriors onto the same axis.

Parameters

list_of_pos_by_name	a dictionary of {name:Posterior} class instances.
param	parameter name to compare
analyticPDF	Optional function to over-plot

Definition at line 180 of file cbcBayesCompPos.py.

◆ compare_plots_one_param_line_hist()

def cbcBayesCompPos.compare_plots_one_param_line_hist	(	list_of_pos_by_name,
		param,
		cl,
		color_by_name,
		cl_lines_flag = `True`,
		legend = `'right'`,
		analyticPDF = `None`
	)

Plots a gaussian kernel density estimate for a set of Posteriors onto the same axis.

Parameters

list_of_pos_by_name	a dict of Posterior class instances indexed by name
param	parameter name to plot
cl	list of credible levels to plot
color_by_name	dict of colours indexed by name
cl_lines_flag	option to plot credible level lines
legend	matplotlib position for legend
analyticPDF	Optional analytic function to over-plot

Definition at line 260 of file cbcBayesCompPos.py.

◆ compute_ks_pvalue_matrix()

def cbcBayesCompPos.compute_ks_pvalue_matrix	(	list_of_pos_by_name,
		param
	)

Returns a matrix of ks p-value tests between pairs of posteriors on the 1D marginalized distributions for param.

Definition at line 369 of file cbcBayesCompPos.py.

◆ compare_plots_one_param_line_hist_cum()

def cbcBayesCompPos.compare_plots_one_param_line_hist_cum	(	list_of_pos_by_name,
		param,
		cl,
		color_by_name,
		cl_lines_flag = `True`,
		analyticCDF = `None`,
		legend = `'auto'`
	)

Plots a gaussian kernel density estimate for a set of Posteriors onto the same axis.

Parameters

list_of_pos_by_name	a dict of Posterior class instances indexed by name
param	name of parameter to plot
cl	list of confidence levels to show
color_by_name	dict of colours indexed by name
cl_lines_flag	Show confidence level lines
analyticCDF	Analytic CDF function to over-plot
legend	legend position to pass to matplotlib

Definition at line 409 of file cbcBayesCompPos.py.

◆ compare_bayes()

def cbcBayesCompPos.compare_bayes	(	outdir,
		names_and_pos_folders,
		injection_path,
		eventnum,
		username,
		password,
		reload_flag,
		clf,
		ldg_flag,
		contour_figsize = `(4.5,4.5)`,
		contour_dpi = `250`,
		contour_figposition = `[0.15,0.15,0.5,0.75]`,
		fail_on_file_err = `True`,
		covarianceMatrices = `None`,
		meanVectors = `None`,
		Npixels2D = `50`
	)

Definition at line 489 of file cbcBayesCompPos.py.

◆ output_confidence_levels_tex()

def cbcBayesCompPos.output_confidence_levels_tex	(	clevels,
		outpath
	)

Outputs a LaTeX table of parameter and run medians and confidence levels.

Definition at line 888 of file cbcBayesCompPos.py.

◆ output_confidence_levels_dat()

def cbcBayesCompPos.output_confidence_levels_dat	(	clevels,
		outpath
	)

Outputs a LaTeX table of parameter and run medians and confidence levels.

Definition at line 930 of file cbcBayesCompPos.py.

◆ output_confidence_uncertainty()

def cbcBayesCompPos.output_confidence_uncertainty	(	cluncertainty,
		outpath
	)

Definition at line 962 of file cbcBayesCompPos.py.

Variable Documentation

◆ oneDMenu

list cbcBayesCompPos.oneDMenu = ['mtotal','m1','m2','mchirp','mc','chirpmass','distance','distMPC','dist','iota','psi','eta','q','asym_massratio','spin1','spin2','a1','a2','phi1','theta1','phi2','theta2','costilt1','costilt2','costhetas','cosbeta','phi_orb', 'lambdat', 'dlambdat', 'lambda1', 'lambda2', 'lam_tilde', 'dlam_tilde','theta_jn','a1z','a2z'] + bppu.spininducedquadParams + bppu.snrParams + bppu.spinParams + bppu.cosmoParam + bppu.calParams + bppu.tigerParams + bppu.lorentzInvarianceViolationParams + bppu.qnmtestParams

Definition at line 50 of file cbcBayesCompPos.py.

◆ twoDGreedyMenu

list cbcBayesCompPos.twoDGreedyMenu = [['mc','eta'],['mchirp','eta'],['chirpmass','eta'],['mc','q'],['mchirp','q'],['chirpmass','q'],['mc','asym_massratio'],['mchirp','asym_massratio'],['chirpmass','asym_massratio'],['m1','m2'],['mtotal','eta'],['distance','iota'],['dist','iota'],['dist','m1'],['ra','dec'],['dist','cos(iota)'],['phi_orb','iota'],['theta_jn','dist'],['spin1','spin2'],['spin1','mchirp'],['spin1','m1'],['a1','a2'],['a1','mchirp'],['a1','m1'],['tilt1','tilt2'],['tilt1','mchirp'],['tilt1','m1'],['a1z','a2z']]

Definition at line 52 of file cbcBayesCompPos.py.

◆ paramNameLatexMap

dictionary cbcBayesCompPos.paramNameLatexMap

Initial value:

 =  {'m1': 'm_1', 'm2' : 'm_2', 'mtotal' : r'M_{\rm tot}', 'mchirp' : r'\mathcal{M}',
                      'mc': r'\mathcal{M}', 'distance' : 'd', 'distMPC' : 'd', 'dist': 'd',
                      'iota': r'\iota', 'psi': r'\psi', 'eta': r'\eta', 'asym_massratio': 'q', 'a1': 'a_1',
                      'a2': 'a_2', 'phi1': r'\phi_1', 'phi2': r'\phi_2', 'theta1': r'\theta_1', 'theta2': r'\theta_2',
                      'cos(tilt1)': r'\cos t_1', 'cos(tilt2)': r'\cos t_2', 'cos(thetas)': r'\cos \theta_s',
                      'cosbeta': r'\cos \beta', 'phi_orb': r'\phi_{\rm orb}', 'cos(beta)': r'\cos \beta',
                      'cos(iota)': r'\cos \iota', 'tilt1': r't_1', 'tilt2': r't_2', 'ra': r'\alpha', 'dec': r'\delta',
                      'lambdat' : r'\tilde{\Lambda}', 'dlambdat': r'\delta \tilde{\Lambda}',
                      'lambda1' : r'\lambda_1', 'lambda2': r'\lambda_2',
                      'lam_tilde' : r'\tilde{\Lambda}', 'dlam_tilde': r'\delta \tilde{\Lambda}','dchiMinus2':r'$d\chi_{-2}$','dchiMinus1':r'$d\chi_{-1}$','dchi0':r'\delta\chi_0','dchi1':r'\delta\chi_1','dchi2':r'\delta\chi_2','dchi3':r'\delta\chi_3','dchi3S':r'\delta\chi_{3S}','dchi3NS':r'\delta\chi_{3NS}','dchi4':r'\delta\chi_4','dchi4S':r'\delta\chi_{4S}','dchi4NS':r'\delta\chi_{4NS}','dchi5':r'\delta\chi_5','dchi5S':r'\delta\chi_{5S}','dchi5NS':r'\delta\chi_{5NS}','dchi5l':r'\delta\chi_{5l}','dchi5lS':r'\delta\chi_{5lS}','dchi5lNS':r'\delta\chi_{5lNS}','dchi6':r'\delta\chi_6','dchi6S':r'\delta\chi_{6S}','dchi6NS':r'\delta\chi_{6NS}','dchi6l':r'\delta\chi_{6l}','dchi7':r'\delta\chi_7','dchi7S':r'\delta\chi_{7S}','dchi7NS':r'\delta\chi_{7NS}','dbeta2':r'\delta\beta_2','dbeta3':r'\delta\beta_3','dsigma2':r'\delta\sigma_2','dsigma3':r'\delta\sigma_3','dsigma4':r'\delta\sigma_4','dbeta2':r'\delta\beta_2','dbeta3':r'\delta\beta_3' ,'log10lambda_a':r'$\log\lambda_{\mathbb{A}}$','log10lambda_eff':r'$\log\lambda_{eff}$','log10livamp':r'$\log \mathbb{A}$','lambda_a':r'$\lambda_{\mathbb{A}}$','lambda_eff':r'$\lambda_{eff}$','liv_amp':r'$\mathbb{A}$','dquadmons':r'\delta\kappa_s','dchikappaS':r'\delta\chi_{kappa_{S}}','dchikappaA':r'\delta\chi_{\kappa_{A}}',
 'domega220': r'$d\omega_{220}$', 'dtau220': r'$d\tau_{220}$',
                      'domega210': r'$d\omega_{210}$', 'dtau210': r'$d\tau_{210}$',
                      'domega330': r'$d\omega_{330}$','dtau330': r'$d\tau_{330}$',
                      'domega440': r'$d\omega_{440}$', 'dtau440': r'$d\tau_{440}$',
                      'domega550': r'$d\omega_{550}$', 'dtau550': r'$d\tau_{550}$',
                      'dc1':r'$\delta c_1$', 'dc2':r'$\delta c_2$', 'dc4':r'$\delta c_4$', 'dcl':r'$\delta c_l$', 'db1':r'$\delta b_1$', 'db2':r'$\delta b_2$', 'db3':r'$\delta b_3$', 'db4':r'$\delta b_4$'
 }

Definition at line 56 of file cbcBayesCompPos.py.

◆ clTableParams

list cbcBayesCompPos.clTableParams = ['mchirp', 'mc', 'chirpmass', 'eta', 'q', 'm1', 'm2', 'distance', 'distMPC', 'dist', 'cos(iota)', 'iota', 'theta_jn', 'psi', 'ra', 'dec', 'time', 'phase', 'a1', 'a2', 'costilt1', 'costilt2','dchiMinus2','dchiMinus1','dchi0','dchi1','dchi2','dchi3','dchi3S','dchi3NS','dchi4','dchi4S','dchi4NS','dchi5','dchi5S','dchi5NS','dchi5l','dchi5lS','dchi5lNS','dchi6','dchi6S','dchi6NS','dchi6l','dchi7','dchi7S','dchi7NS','dbeta2','dbeta3','dsigma2','dsigma3','dsigma4','dbeta2','dbeta3', 'log10lambda_eff','log10lambda_a','log10livamp','lambda_eff','lambda_a','liv_amp','dquadmons','dchikappaS','dchikappaA','domega220', 'dtau220', 'domega210', 'dtau210', 'domega330', 'dtau330', 'domega440', 'dtau440', 'domega550', 'dtau550', 'db1', 'db2', 'db3', 'db4', 'dc1', 'dc2', 'dc4', 'dcl']

Definition at line 75 of file cbcBayesCompPos.py.

◆ greedyBinSizes

dictionary cbcBayesCompPos.greedyBinSizes = {'mc':0.001,'m1':0.1,'m2':0.1,'mass1':0.1,'mass2':0.1,'mtotal':0.1,'eta':0.001,'q':0.001,'asym_massratio':0.001,'iota':0.05,'time':1e-4,'distance':5.0,'dist':1.0,'mchirp':0.01,'chirpmass':0.01,'a1':0.02,'a2':0.02,'phi1':0.05,'phi2':0.05,'theta1':0.05,'theta2':0.05,'ra':0.05,'dec':0.005,'psi':0.1,'cos(iota)':0.01, 'cos(tilt1)':0.01, 'cos(tilt2)':0.01, 'tilt1':0.05, 'tilt2':0.05, 'cos(thetas)':0.01, 'cos(beta)':0.01,'phi_orb':0.2,'inclination':0.05,'theta_jn':0.05,'spin1':0.02,'spin2':0.02}

Definition at line 79 of file cbcBayesCompPos.py.

◆ OneDconfidenceLevels

list cbcBayesCompPos.OneDconfidenceLevels = [0.9]

Definition at line 93 of file cbcBayesCompPos.py.

◆ TwoDconfidenceLevels

list cbcBayesCompPos.TwoDconfidenceLevels = OneDconfidenceLevels

Definition at line 94 of file cbcBayesCompPos.py.

◆ twoDplots

list cbcBayesCompPos.twoDplots = [['m1','m2'],['mass1','mass2'],['RA','dec'],['ra','dec'],['cos(thetas)','cos(beta)'],['distance','iota'],['dist','iota'],['dist','cosiota'],['distance','cosiota'],['psi','iota'],['psi','distance'],['psi','phi0'],['dist','cos(iota)'],['phi_orb','iota'],['distance','inclination'],['dist','inclination'],['theta_jn','dist'],['spin1','spin2'],['spin1','mchirp'],['spin1','m1'],['a1','a2'],['a1','mchirp'],['a1','m1'],['tilt1','tilt2'],['tilt1','mchirp'],['tilt1','m1']]

Definition at line 98 of file cbcBayesCompPos.py.

◆ allowed_params

list cbcBayesCompPos.allowed_params = ['mtotal','m1','m2','mchirp','mc','chirpmass','q','asym_massratio','distance','distMPC','dist','iota','psi','eta','ra','dec','a1','a2','spin1','spin2','phi1','theta1','phi2','theta2','cos(iota)','cos(tilt1)','cos(tilt2)','tilt1','tilt2','cos(thetas)','cos(beta)','phi_orb','inclination', 'logl', 'lambdat', 'dlambdat', 'lambda1', 'lambda2', 'lam_tilde', 'dlam_tilde','theta_jn','a1z','a2z','dquadmons','dquadmona','dquadmon1','dquadmon2']+bppu.snrParams + bppu.spinParams + bppu.cosmoParam + bppu.calParams + bppu.tigerParams

Definition at line 99 of file cbcBayesCompPos.py.

◆ parser

cbcBayesCompPos.parser = OptionParser()

Definition at line 989 of file cbcBayesCompPos.py.

◆ dest

cbcBayesCompPos.dest

Definition at line 990 of file cbcBayesCompPos.py.

◆ help

cbcBayesCompPos.help

Definition at line 990 of file cbcBayesCompPos.py.

◆ metavar

cbcBayesCompPos.metavar

Definition at line 990 of file cbcBayesCompPos.py.

◆ action

cbcBayesCompPos.action

Definition at line 991 of file cbcBayesCompPos.py.

◆ default

cbcBayesCompPos.default

Definition at line 998 of file cbcBayesCompPos.py.

◆ True

cbcBayesCompPos.True

Definition at line 998 of file cbcBayesCompPos.py.

◆ False

cbcBayesCompPos.False

Definition at line 1005 of file cbcBayesCompPos.py.

◆ None

cbcBayesCompPos.None

Definition at line 1006 of file cbcBayesCompPos.py.

◆ type

cbcBayesCompPos.type

Definition at line 1009 of file cbcBayesCompPos.py.

◆ opts

cbcBayesCompPos.opts

Definition at line 1011 of file cbcBayesCompPos.py.

◆ args

cbcBayesCompPos.args

Definition at line 1011 of file cbcBayesCompPos.py.

◆ outpath

cbcBayesCompPos.outpath = os.getcwd()

Definition at line 1015 of file cbcBayesCompPos.py.

◆ names

list cbcBayesCompPos.names = []

Definition at line 1025 of file cbcBayesCompPos.py.

◆ pos_list

cbcBayesCompPos.pos_list

Definition at line 1035 of file cbcBayesCompPos.py.

◆ greedy2savepaths

cbcBayesCompPos.greedy2savepaths

Definition at line 1041 of file cbcBayesCompPos.py.

◆ oned_data

cbcBayesCompPos.oned_data

Definition at line 1041 of file cbcBayesCompPos.py.

◆ confidence_uncertainty

cbcBayesCompPos.confidence_uncertainty

Definition at line 1041 of file cbcBayesCompPos.py.

◆ confidence_levels

cbcBayesCompPos.confidence_levels

Definition at line 1041 of file cbcBayesCompPos.py.

◆ max_logls

cbcBayesCompPos.max_logls

Definition at line 1041 of file cbcBayesCompPos.py.

◆ dics

cbcBayesCompPos.dics

Definition at line 1041 of file cbcBayesCompPos.py.

◆ ldg_flag

cbcBayesCompPos.ldg_flag

Definition at line 1041 of file cbcBayesCompPos.py.

◆ contour_figsize

cbcBayesCompPos.contour_figsize

Definition at line 1041 of file cbcBayesCompPos.py.

◆ contour_dpi

cbcBayesCompPos.contour_dpi

Definition at line 1041 of file cbcBayesCompPos.py.

◆ contour_figposition

cbcBayesCompPos.contour_figposition

Definition at line 1041 of file cbcBayesCompPos.py.

◆ fail_on_file_err

cbcBayesCompPos.fail_on_file_err

Definition at line 1041 of file cbcBayesCompPos.py.

◆ readFileErr

cbcBayesCompPos.readFileErr

Definition at line 1041 of file cbcBayesCompPos.py.

◆ covarianceMatrices

cbcBayesCompPos.covarianceMatrices

Definition at line 1041 of file cbcBayesCompPos.py.

◆ meanVectors

cbcBayesCompPos.meanVectors

Definition at line 1041 of file cbcBayesCompPos.py.

◆ Npixels2D

cbcBayesCompPos.Npixels2D

Definition at line 1041 of file cbcBayesCompPos.py.

◆ compare_page

cbcBayesCompPos.compare_page = bppu.htmlPage('Compare PDFs (single event)',css=bppu.__default_css_string)

Print Confidence Levels######.

Save confidence uncertainty#####

Print HTML!#######

Definition at line 1052 of file cbcBayesCompPos.py.

◆ param_section

cbcBayesCompPos.param_section = compare_page.add_section('Meta')

Definition at line 1054 of file cbcBayesCompPos.py.

◆ param_section_write

string cbcBayesCompPos.param_section_write = '<div><p>This comparison was created from the following analyses</p>'

Definition at line 1056 of file cbcBayesCompPos.py.

◆ save_paths

cbcBayesCompPos.save_paths

Definition at line 1071 of file cbcBayesCompPos.py.

◆ cl_table_str

cbcBayesCompPos.cl_table_str

Definition at line 1071 of file cbcBayesCompPos.py.

◆ ks_table_str

cbcBayesCompPos.ks_table_str

Definition at line 1071 of file cbcBayesCompPos.py.

◆ cl_uncer_str

cbcBayesCompPos.cl_uncer_str

Definition at line 1071 of file cbcBayesCompPos.py.

◆ clf_toggle

bool cbcBayesCompPos.clf_toggle = False

Definition at line 1072 of file cbcBayesCompPos.py.

◆ head

cbcBayesCompPos.head

Definition at line 1074 of file cbcBayesCompPos.py.

◆ plotfile

cbcBayesCompPos.plotfile

Definition at line 1074 of file cbcBayesCompPos.py.

◆ temp

cbcBayesCompPos.temp

Definition at line 1085 of file cbcBayesCompPos.py.

◆ param_name

cbcBayesCompPos.param_name = param_name.split('.')[0]

Definition at line 1085 of file cbcBayesCompPos.py.

◆ compare_page_footer

cbcBayesCompPos.compare_page_footer = compare_page.add_section('')

Definition at line 1092 of file cbcBayesCompPos.py.

◆ cc_args

cbcBayesCompPos.cc_args = copy.deepcopy(sys.argv)

Definition at line 1095 of file cbcBayesCompPos.py.

◆ user_idx

cbcBayesCompPos.user_idx = cc_args.index('-u')

Definition at line 1099 of file cbcBayesCompPos.py.

◆ pass_idx

cbcBayesCompPos.pass_idx = cc_args.index('-x')

Definition at line 1105 of file cbcBayesCompPos.py.

◆ cc_args_str

string cbcBayesCompPos.cc_args_str = ''

Definition at line 1110 of file cbcBayesCompPos.py.

◆ resultspage

cbcBayesCompPos.resultspage = open(os.path.join(outpath,'index.html'),'w')

Definition at line 1118 of file cbcBayesCompPos.py.

Functions

Variables

Function Documentation

◆ open_url()

◆ all_pairs()

◆ open_url_curl()

◆ test_and_switch_param()

◆ compare_plots_one_param_pdf()

◆ compare_plots_one_param_line_hist()

◆ compute_ks_pvalue_matrix()

◆ compare_plots_one_param_line_hist_cum()

◆ compare_bayes()

◆ output_confidence_levels_tex()

◆ output_confidence_levels_dat()

◆ output_confidence_uncertainty()

Variable Documentation

◆ oneDMenu

◆ twoDGreedyMenu

◆ paramNameLatexMap

◆ clTableParams

◆ greedyBinSizes

◆ OneDconfidenceLevels

◆ TwoDconfidenceLevels

◆ twoDplots

◆ allowed_params

◆ parser

◆ dest

◆ help

◆ metavar

◆ action

◆ default

◆ True

◆ False

◆ None

◆ type

◆ opts

◆ args

◆ outpath

◆ names

◆ pos_list

◆ greedy2savepaths

◆ oned_data

◆ confidence_uncertainty

◆ confidence_levels

◆ max_logls

◆ dics

◆ ldg_flag

◆ contour_figsize

◆ contour_dpi

◆ contour_figposition

◆ fail_on_file_err

◆ readFileErr

◆ covarianceMatrices

◆ meanVectors

◆ Npixels2D

◆ compare_page

◆ param_section

◆ param_section_write

◆ save_paths

◆ cl_table_str

◆ ks_table_str

◆ cl_uncer_str

◆ clf_toggle

◆ head

◆ plotfile

◆ temp

◆ param_name

◆ compare_page_footer

◆ cc_args

◆ user_idx

◆ pass_idx

◆ cc_args_str

◆ resultspage