gravelamps.lensing.millilensing
Millilensing Model Agnostic Functions
Following are functions performing calculations for a mililensing system using a phenomenological model-agnostic approach reliant only on the lensing observables.
Written by Ania Liu 2022
Routines
- gather_parameter_lists
Gathers lens parameters into lists
- get_lens_parameters
Generates required parameters based on waveform arguments
- frequency_to_dimensionless_frequency
Conversion from frequencies to dimensionless frequencies in model agnostic fashion
- amplification_factor
Computs the amplification factor for the given parameters
Functions
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Gathers lens parameters into lists |
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Generates required parameters based on waveform arguments |
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Conversion of frequencies to dimensionless frequencies in model agnostic fashion |
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Computes the amplification factor for the given parameters. |
Module Contents
- gravelamps.lensing.millilensing.gather_parameter_lists(lens_parameters, parameters)
Gathers lens parameters into lists
This gathers the image times, lumionsity distances, and morse phases of the individual millisignals into lists of each of these for management. This is done in time ordering
- Parameters:
- lens_parameterslist of strings
Every lensing observable that is needed for the total millilensing signal
- parametersdict
Contains values for each of the specified parameters above
- Returns:
- image_timeslist of floats
Image time delay values as compared to first image
- luminosity_distanceslist of floats
Luminosity distances to millisignals
- phaseslist of floats
Phases of each millisignal
- gravelamps.lensing.millilensing.get_lens_parameters(waveform_arguments)
Generates required parameters based on waveform arguments
The waveform arguments specify a number of signals, this will generate the required parameter names for each millisignal — each needs a luminosty distance, time delay, and phase. The first signal requires only the phase. It’s luminosity distance is in the main parameter list, and time delays are measured relative to the first image.
- Parameters:
- waveform_arugmentsdict
Contains arguments for the waveform generation
- Returns:
- lens_parameterslist of strings
Every lensing observable that is needed for the total millilensing signal
- gravelamps.lensing.millilensing.frequency_to_dimensionless_frequency(frequency_array)
Conversion of frequencies to dimensionless frequencies in model agnostic fashion
- Parameters:
- frequency_arrayArray of floats
Frequencies of interest
- Returns:
- dimensionless_frequency_arrayArray of floats
Dimensionless form of the input frequencies from model agnostic conversion
- gravelamps.lensing.millilensing.amplification_factor(frequency_array, number_of_images, image_times, luminosity_distances, morse_phases)
Computes the amplification factor for the given parameters.
The total amplification of a millilensing signal is given as the individual amplifications from each image (or millisignal) contributing. The number of these must be specified and lensing observables given for each of the images in question.
- Parameters:
- frequency_arrayArray of floats
Frequencies to be amplified
- number_of_imagesfloat
The total number of millisignals that comprise the total amplification
- image_timesArray of floats
Time delays between millisignals relative to the first image
- luminosity_distancefloat
Luminosity distance to the source
- luminosity_distancesArray of floats
Effective luminosity distances of the signals
- morse_phasesArray of floats
Morse factor of each millisignal
- Returns:
- amplification_factor_arrayArray of floats
Values of the amplification factor over the specified frequencies