## Resolution effects in TOF Reflectometry

In real experiments, the $q_z$ resolution is non infinite. To take this into account in TOF simulations, one needs to define the spread in $q$ as $dq$, set up a distribution with a given number of samples, n_samples, and define the desired sigma factor, n_sig (e.g. the range in standard deviations to take into account during the sample generation).

    qzs = np.linspace(0.01, 1.0, scan_size)  # qz-values
dq = 0.03 * qzs
n_sig = 2.0
n_samples = 25

distr = ba.RangedDistributionGaussian(n_samples, n_sig)

scan = ba.QSpecScan(qzs)
scan.setAbsoluteQResolution(distr, dq)

simulation = ba.SpecularSimulation()
simulation.setScan(scan)


In the snippet above, a Gaussian distribution has been used, but there are several distributions available to chose from:

• Gate: RangedDistributionGate(n_samples, sigma_factor, min, max)
• Lorentz: RangedDistributionLorentz(n_samples, hwhm_factor, min, max)
• Gaussian: RangedDistributionGaussian(n_samples, sigma_factor, min, max)
• LogNormal: RangedDistributionLogNormal(n_samples, sigma_factor, min, max)
• Cosine: RangedDistributionCosine(n_samples, sigma_factor, min, max)
  1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44  #!/usr/bin/env python3 """ An example of defining reflectometry instrument for time of flight experiment. In this example we will use purely qz-defined beam, without explicitly specifying incident angle or a wavelength. Additionally we will set pointwise resolution to the scan. Note that these approaches work with SLD-based materials only. """ import numpy as np import bornagain as ba from bornagain import ba_plot as bp, std_samples def get_sample(): return std_samples.alternating_layers() def get_simulation(sample): """ Defines and returns specular simulation with a qz-defined beam """ n = bp.simargs['n'] qzs = np.linspace(0.01, 1, n) # qz-values dq = 0.03*qzs distr = ba.DistributionGaussian(0., 1., 25, 2.) scan = ba.QzScan(qzs) scan.setVectorResolution(distr, dq) return ba.SpecularSimulation(scan, sample) if __name__ == '__main__': bp.parse_args(sim_n=500) sample = get_sample() simulation = get_simulation(sample) result = simulation.simulate() bp.plot_simulation_result(result) 
Examples/specular/TOFRWithResolution.py