In this document we will describe all use cases of the VBMicrolensing library and provide ready-to-use examples that you can copy/paste to your code.
In a typical Python code, you will import the VBMicrolensing package in your project.
An instance to the VBMicrolensing class should be declared in your program. The VBMicrolensing class contains all the properties and methods that the user needs to call for any microlensing computations. Here is a basic start up example to draw a light curve for a binary lens:
import VBMicrolensing
import math
import numpy as np
import matplotlib.pyplot as plt
VBM = VBMicrolensing.VBMicrolensing()
s = 0.9 # Separation between the lenses
q = 0.1 # Mass ratio
u0 = 0.0 # Impact parameter with respect to center of mass
alpha = 1.0 # Angle of the source trajectory
rho = 0.01 # Source radius
tE = 30.0 # Einstein time in days
t0 = 7500 # Time of closest approach to center of mass
# Array of parameters. Note that s, q, rho and tE are in log-scale
pr = [math.log(s), math.log(q), u0, alpha, math.log(rho), math.log(tE), t0]
t = np.linspace(t0-tE, t0+tE, 300) # Array of times
magnifications, y1, y2 = VBM.BinaryLightCurve(pr,t) # Calculation of binary-lens light curve
plt.plot(t,magnifications)
In this example we have declared an instance to the VBMicrolensing class, assigned values to some parameters and then we have called VBM.BinaryLightCurve to calculate the light curve with these parameters.
In the following pages, we will describe all functionalities of VBMicrolensing in detail.