ramjet.photometric_database.microlensing_signal_generator¶

Classes¶

class MagnificationSignal[source]¶

A class to generate a random microlensing magnification signal. Using the parameters: u0 (source-lens impact parameter) tE (Einstein radius crossing time) rho (angular source size normalized by the angular Einstein radius) s (Projected separation of the masses normalized by the angular Einstein radius) q (Mass ratio M_planet/M_host) alpha (Trajectory angle) > The distribution for tE and rho are based on the MOA observations > No parallax effect is considered

tE_list :pd.Series¶

rho_list :pd.Series¶

__init__(self)[source]¶

Initialize self. See help(type(self)) for accurate signature.

load_moa_meta_data_to_class_attributes(self)[source]¶

Loads the MOA meta data defining microlensing to class attributes. If already loaded, does nothing.

getting_random_values(self)[source]¶

Set randomly the natural parameters: u0 (source-lens impact parameter), tE (Einstein radius crossing time), rho (angular source size normalized by the angular Einstein radius) , s (Projected separation of the masses normalized by the angular Einstein radius), q (Mass ratio M_planet/M_host), alpha (Trajectory angle)

generating_magnification(self)[source]¶

Creates the magnification signal

plot_magnification(self)[source]¶

Plot the lightcurve.

classmethod generate_randomly_based_on_moa_observations(cls, time_range: float = 30)[source]¶

classmethod generate_approximately_pspl_randomly_based_on_moa_observations(cls, time_range: float = 30)[source]¶

static calculating_magnification_from_vbb(timeseries, lens_params)[source]¶

Return the VBB method finite-source uniform magnification. Adapted from muLAn: gravitational MICROlensing Analysis Software.

start_time¶