minikappa_calibration.py

#!/usr/bin/env python

import random
from goniometer import goniometer
import os

def get_random_selection(min_value, max_value, n):
    random_selection = [round(random.random() * (max_value - min_value) + min_value, 2) for k in range(n)]
    return random_selection
    
def main():
    import optparse
    
    parser = optparse.OptionParser()
    
    parser.add_option('-d', '--directory', type=str, default='/nfs/ruche/proxima2a-spool/Martin/Research/minikappa_callibration/2018-12-16_20um_random_pairs')
    parser.add_option('-n', '--name_pattern', type=str, default='oa')
    parser.add_option('-P', '--n_phi', type=int, default=10)
    parser.add_option('-K', '--n_kappa', type=int, default=10)
    parser.add_option('-N', '--n_points', type=int, default=33)
    parser.add_option('-g', '--n_angles', type=int, default=75)
    options, args = parser.parse_args()
    
    kappa_min = 0
    kappa_max = 249
    phi_min = 0
    phi_max = 360
    
    g = goniometer()
    
    for k in range(options.n_points):
        #if k == 0:
            #kappa = 0.
            #phi = 0.
        #else:
        kappa = round(random.random() * (kappa_max - kappa_min) + kappa_min, 2)
        phi = round(random.random() * (phi_max - phi_min) + phi_min, 2)
        for zoom in [1, 10]:
            align_line = 'optical_alignment.py -d {directory} -n kappa_{kappa:.2f}_phi_{phi:.2f}_zoom_{zoom:d} -K {kappa:.2f} -P {phi:.2f} -z {zoom:d} -A -C -R --rightmost -g {n_angles:d}'.format(**{'kappa': kappa, 'phi': phi, 'zoom': zoom, 'directory': options.directory, 'n_angles': options.n_angles})
            os.system(align_line)
                    
if __name__ == '__main__':
    main()