Public Member Functions
def	__init__ (self, t0_bounds, tau_bounds, amplitude_bounds, sigma_bounds, tau_sigma, bin_size, wf=betaprime_wave)

def	get_t0_bounds (self)

def	get_amp_bounds (self)

def	get_tau_bounds (self)

def	set_tau_bounds (self, tau_min, tau_max)

def	set_tau_sigma (self, tau_sigma)

def	get_tau_sigma (self)

def	get_sigma_bounds (self)

def	generate (self, sample_size)

def	get_t0_array (self)

def	get_t0_bins (self)

Public Attributes
	t0_max

	tau_max

	amp_max

	sigma_max

	tau_coder

	tau_sigma

	bin_size

	wf

	tau_min

	n_samples

	stockdata

	t0_bins
	undocumented variable

	t0_bin_times
	undocumented variable

Detailed Description

This class generates a Pandas dataframe with a random sample of SVD strip signals with specified size and parameters.
NB:
1. We generate time bins from quantiles, do we want a regular grid?
2. Have to think of possible irregular grid.

Definition at line 194 of file SVDSimBase.py.

Constructor & Destructor Documentation

◆ init()

def __init__	(	self,
		t0_bounds,
		tau_bounds,
		amplitude_bounds,
		sigma_bounds,
		tau_sigma,
		bin_size,
		wf = `betaprime_wave`
	)

The constructor takes the following parameters:
t0_bounds is a tuple, (t0_min, t0_max)
tau_bounds is a tuple (tau_min, tau_max)
amplitude_bounds is a tuple (amp_min, amp_max)
sigma_bounds is a tuple (sigma_min, sigma_max)
bin_size is the % fraction of t0_min, t0_max interval corresponding to a single output t0 bin.

Definition at line 202 of file SVDSimBase.py.

     def __init__(self, t0_bounds, tau_bounds, amplitude_bounds, sigma_bounds, tau_sigma, bin_size, wf=betaprime_wave):
         """
         The constructor takes the following parameters:
         t0_bounds is a tuple, (t0_min, t0_max)
         tau_bounds is a tuple (tau_min, tau_max)
         amplitude_bounds is a tuple (amp_min, amp_max)
         sigma_bounds is a tuple (sigma_min, sigma_max)
         bin_size is the % fraction of t0_min, t0_max interval corresponding to a single output t0 bin.
         """
  
         self.t0_min, self.t0_max = t0_bounds
         self.tau_min, self.tau_max = tau_bounds
         self.amp_min, self.amp_max = amplitude_bounds
         self.sigma_min, self.sigma_max = sigma_bounds
         self.tau_coder = tau_encoder(amplitude_bounds, tau_bounds)
         self.tau_sigma = tau_sigma
         self.bin_size = bin_size
         self.wf = wf
  

Member Function Documentation

◆ generate()

def generate	(	self,
		sample_size
	)

Generate sample_size samples.

Definition at line 264 of file SVDSimBase.py.

◆ get_amp_bounds()

def get_amp_bounds ( self )

Get amplitude bounds of sampling space

Definition at line 227 of file SVDSimBase.py.

◆ get_sigma_bounds()

def get_sigma_bounds ( self )

Get sigma bounds

Definition at line 258 of file SVDSimBase.py.

◆ get_t0_array()

def get_t0_array ( self )

Get array of mean t0's for classifier bins

Definition at line 299 of file SVDSimBase.py.

◆ get_t0_bins()

def get_t0_bins ( self )

Get array of mean t0's for classifier bins

Definition at line 305 of file SVDSimBase.py.

◆ get_t0_bounds()

def get_t0_bounds ( self )

Get t0 bounds of sampling space

Definition at line 221 of file SVDSimBase.py.

◆ get_tau_bounds()

def get_tau_bounds ( self )

Get tau bounds of sampling space

Definition at line 233 of file SVDSimBase.py.

◆ get_tau_sigma()

def get_tau_sigma ( self )

Get width jitter for the simulation.

Definition at line 252 of file SVDSimBase.py.

◆ set_tau_bounds()

def set_tau_bounds	(	self,
		tau_min,
		tau_max
	)

Set width limits for the simulation.

Definition at line 239 of file SVDSimBase.py.

◆ set_tau_sigma()

def set_tau_sigma	(	self,
		tau_sigma
	)

Set width jitter for the simulation.

Definition at line 246 of file SVDSimBase.py.

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

svd/scripts/svd/SVDSimBase.py

Public Member Functions

Public Attributes