gravelamps.lensing.waveform_generator
Gravelamps Waveform Generators
Following contains class definitions for Gravelamps waveform generators. These are child classes of the standard bilby WaveformGenerator class.
- Written by Mick Wright
Isaac C. F. Wong 2022
Classes
- LensedWaveformGenerator
Standard total lensed waveform generator used throughout Gravelamps
Classes
Single Image of Strong Lensing Waveform Generator class |
|
Standard total lensed waveform generator used throughout Gravelamps |
Module Contents
- class gravelamps.lensing.waveform_generator.SingleImageGenerator(duration=None, sampling_frequency=None, start_time=0, frequency_domain_source_model=None, time_domain_source_model=None, parameters=None, parameter_conversion=None, waveform_arguments=None)
Bases:
bilby.gw.waveform_generator.WaveformGenerator
Single Image of Strong Lensing Waveform Generator class
Based upon the general bilby WaveformGenerator class, this waveform generator will seek a lensing module from the waveform arguments as well as an indication of the image to generate and will construct the amplification factor accordingly when calculating the strain
- property lens_parameters
Lens Parameters to Infer
- class gravelamps.lensing.waveform_generator.LensedWaveformGenerator(duration=None, sampling_frequency=None, start_time=0, frequency_domain_source_model=None, time_domain_source_model=None, parameters=None, parameter_conversion=None, waveform_arguments=None)
Bases:
bilby.gw.waveform_generator.WaveformGenerator
Standard total lensed waveform generator used throughout Gravelamps
This waveform generator will seek a lensing module from the waveform arguments from which to extract the amplification factor calculation function it will then use during calculation of the strain data.
- Attributes:
- lens_moduleModuleType
The module used to extract lensing amplification factor function from
- lens_parametersdict
Additional lens model parameters and their values
- property lens_parameters
Additional lens model parameters and their value
- Returns:
- dict
Contains the parameters as keys and the associated values