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Phasefield figure finalised, moving to documentation repository
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1 changed files with 64 additions and 27 deletions
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@ -1,5 +1,12 @@
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#!/usr/bin/env python3
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__doc__ = \
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"""
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Generate a figure showing a value combining
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the delays between a transmitter and a set of antennas
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"""
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import matplotlib.pyplot as plt
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import numpy as np
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from itertools import chain, combinations, product
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@ -53,7 +60,6 @@ def grid_plot(grid, ax=None, **plot_kwargs):
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for x_,y_,l_ in zip(x,y,l):
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ax.annotate(l_,(x_,y_))
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def antenna_combinations(ants, ref_ant=None):
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if ref_ant is not None: # use only one reference antenna for the baselines
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ref = ref_ant
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@ -113,9 +119,6 @@ def plot_field(tx, ants, xx, yy, val, ax=None, ref_ant=None, color_label='$\\lef
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default_scatter_kwargs['vmax'] = len(ants)*np.pi
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#default_scatter_kwargs['cmap'] = 'gray'
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pass
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else:
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val *=1e9 # to ns
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default_scatter_kwargs['vmax'] = 100
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scatter_kwargs = {**default_scatter_kwargs, **scatter_kwargs}
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@ -131,7 +134,6 @@ def plot_field(tx, ants, xx, yy, val, ax=None, ref_ant=None, color_label='$\\lef
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return ax
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def square_grid(dx=1, N_x=10, dy=None, N_y=None, x_start=0, y_start=0):
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N_y = N_x if N_y is None else N_y
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dy = dx if dy is None else dy
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@ -154,36 +156,60 @@ def triangular_grid(dx=1, N_x=10, dy=None, N_y=None, x_start=0, y_start=0):
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if __name__ == "__main__":
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from argparse import ArgumentParser
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import os.path as path
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###
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parser = ArgumentParser(description=__doc__)
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parser.add_argument("fname", metavar="path/to/figure[/]", nargs="?", help="Location for generated figure, will append __file__ if a directory. If not supplied, figure is shown.")
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parser.add_argument("type", choices=['single-left', 'single-center', 'square', 'tri', 'preset'])
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command_group = parser.add_mutually_exclusive_group(required=True)
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command_group.add_argument('--time', help='Use the time difference for the field', action='store_false')
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command_group.add_argument('--phase', help='Use wrapped phase for the field', action='store_true')
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parser.add_argument('--ref', dest='ref_ant', metavar='ref_antenna', help='Number of antenna to use as reference')
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args = parser.parse_args()
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if args.fname is not None and path.isdir(args.fname):
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args.fname = path.join(args.fname, path.splitext(path.basename(__file__))[0] + ".pdf")
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args.plot_phase = args.phase or args.time
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del args.time, args.phase
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if 'single' in args.type: # single baseline
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### Field
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###
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x_low, x_high, N_x = -1203, 300, 81
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y_low, y_high, N_y = -x_low, -x_high, N_x
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x_low, x_high, N_x = -300, 300, 81
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y_low, y_high, N_y = -300, 300, 81
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###
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### Geometry
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###
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tx = Antenna(x=-800,y=300,z=0,name="tx")
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if True: # single baseline
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ants = [
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Antenna(x=-50,y=0,z=0,name="a"),
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Antenna(x=50,y=0,z=0,name="b"),
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]
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if args.type == 'single-center':
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tx = Antenna(x=-000,y=200,z=0,name="tx")
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else:
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tx = Antenna(x=-200,y=200,z=0,name="tx")
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x_low, x_high, N_x = -300, 300, 81
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y_low, y_high, N_y = -300, 300, 81
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elif args.type == 'square' or args.type == 'tri': # from grid definition
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### Field
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x_low, x_high, N_x = -1800, 1800, 161
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y_low, y_high, N_y = -x_low, -x_high, N_x
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elif not True: # from grid definition
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### Geometry
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tx = Antenna(x=-800,y=300,z=0,name="tx")
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x_start, dx, ant_N_x = 0, 50, 2
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y_start, dy, ant_N_y = 0, dx, ant_N_x
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if not True: # square grid
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if args.type == 'square': # square grid
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grid_func = square_grid
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elif True: # triangular
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elif args.type == 'tri': # triangular
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grid_func = triangular_grid
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grid = grid_func(dx=dx, dy=dy, N_x=ant_N_x, N_y=ant_N_y, x_start=x_start, y_start=y_start)
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@ -191,6 +217,12 @@ if __name__ == "__main__":
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ants = [ Antenna(x=x,y=y,z=0,name=i) for i, (x,y) in enumerate(grid) ]
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else:
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### Field
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x_low, x_high, N_x = -400, 400, 161
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y_low, y_high, N_y = -x_low, -x_high, N_x
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### Geometry
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tx = Antenna(x=-300,y=300,z=0,name="tx")
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ants = [
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Antenna(x=100,y=0,z=0,name="a"),
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Antenna(x=0,y=-50,z=0,name="b"),
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@ -201,13 +233,12 @@ if __name__ == "__main__":
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###
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### Options
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###
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plot_phase = True
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ref_ant = None
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plot_phase = args.plot_phase
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ref_ant = args.ref_ant
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ant_combi = antenna_combinations(ants, ref_ant=ref_ant)
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print("Antenna Combinations calculated")
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xs = np.linspace(x_low, x_high, N_x)
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ys = np.linspace(y_low, y_high, N_y)
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@ -218,13 +249,15 @@ if __name__ == "__main__":
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mask = abs(val) > np.pi
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kwargs = {}
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if plot_phase:
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color_label='$\\sqrt{ \\sum \\left(\\varphi(x) - \\Delta \\varphi\\right)^2}$'
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else:
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color_label='$\\sqrt{ \\sum \\left(t(x) - \\Delta t\\right)^2}$ [ns]'
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val *= 1e9
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kwargs['vmax'] = 100
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ax = plot_field(tx, ants, xx, yy, val, ax=None, ref_ant=ref_ant, mask=mask, color_label=color_label)
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ax = plot_field(tx, ants, xx, yy, val, ax=None, ref_ant=ref_ant, mask=mask, color_label=color_label, **kwargs)
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# if plot_phase:
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# N_lowest = np.min(len(ant_combi)-1, 10)
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# print(lowest_idx)
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# print(val[lowest_idx])
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# print( list(zip(np.array(xx)[lowest_idx], np.array(yy)[lowest_idx])) )
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if args.fname is not None:
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plt.savefig(args.fname)
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else:
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plt.show()
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