Examples¶

Examples that might be useful at the APS using BlueSky

SynPseudoVoigt(name, motor, motor_field[, …]) Evaluate a point on a pseudo-Voigt based on the value of a motor.

class APS_BlueSky_tools.examples.SynPseudoVoigt(name, motor, motor_field, center=0, eta=0.5, scale=1, sigma=1, bkg=0, noise=None, noise_multiplier=1, **kwargs)[source]¶

Evaluate a point on a pseudo-Voigt based on the value of a motor.

Provides a signal to be measured. Acts like a detector.

See:	https://en.wikipedia.org/wiki/Voigt_profile

PARAMETERS

name : str: name of detector signal
motor : Mover: The independent coordinate
motor_field : str: name of Mover field
center : float, optional: location of maximum value, default=0
eta : float, optional: 0 <= eta < 1.0: Lorentzian fraction, default=0.5
scale : float, optional: scale >= 1 : scale factor, default=1
sigma : float, optional: sigma > 0 : width, default=1
bkg : float, optional: bkg >= 0 : constant background, default=0
noise : {‘poisson’, ‘uniform’, None}: Add noise to the result.
noise_multiplier : float: Only relevant for ‘uniform’ noise. Multiply the random amount of noise by ‘noise_multiplier’

EXAMPLE

from APS_BlueSky_tools.examples import SynPseudoVoigt
motor = Mover('motor', {'motor': lambda x: x}, {'x': 0})
det = SynPseudoVoigt('det', motor, 'motor', 
    center=0, eta=0.5, scale=1, sigma=1, bkg=0)

EXAMPLE

import numpy as np
from APS_BlueSky_tools.examples import SynPseudoVoigt
synthetic_pseudovoigt = SynPseudoVoigt(
    'synthetic_pseudovoigt', m1, 'm1', 
    center=-1.5 + 0.5*np.random.uniform(), 
    eta=0.2 + 0.5*np.random.uniform(), 
    sigma=0.001 + 0.05*np.random.uniform(), 
    scale=1e5,
    bkg=0.01*np.random.uniform())

#  RE(bp.scan([synthetic_pseudovoigt], m1, -2, 0, 219))