gstlal-inspiral  0.4.2
 All Classes Namespaces Files Functions Variables Pages
Classes | Functions | Variables
far.py File Reference

Detailed Description

The python module to implement false alarm probability and false alarm rate.

Review Status

STATUS: reviewed with actions

Names Hash Date
Hanna, Cannon, Meacher, Creighton J, Robinet, Sathyaprakash, Messick, Dent, Blackburn 7fb5f008afa337a33a72e182d455fdd74aa7aa7a 2014-11-05

Action items

Definition in file far.py.

Go to the source code of this file.

Classes

class  far.NearestLeafTree
class  far.HorizonHistories
class  far.CoincParams
class  far.ThincaCoincParamsDistributions
class  far.RankingData
class  far.FAPFAR

Functions

def far.logiv
def far.ncx2logpdf
def far.ncx2pdf
def far.fap_after_trials
def far.trials_from_faps
def far.P_instruments_given_signal
def far.binned_log_likelihood_ratio_rates_from_samples
def far.binned_log_likelihood_ratio_rates_from_samples_wrapper
def far.gen_likelihood_control_doc
def far.parse_likelihood_control_doc
def far.get_live_time
def far.get_live_time_segs_from_search_summary_table

Variables

tuple far.NaN = float("nan")
tuple far.NegInf = float("-inf")
tuple far.PosInf = float("+inf")
tuple far.fap_after_trials_arr = numpy.frompyfunc(fap_after_trials, 2, 1)