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ZH: always calculate orig_t maximum power for grid power figure
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1 changed files with 20 additions and 2 deletions
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@ -254,8 +254,10 @@ if __name__ == "__main__":
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fig = save_overlapping_traces_figure([0,0,0], ev, N_plot=1, wx=trace_zoom_wx, title_extra = plot_titling[case], fname_distinguish=f'single', fig_dir=fig_dir, figsize=figsize)
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plt.close(fig)
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no_offset_maximum_power = None # set in below loop
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with joblib.parallel_backend("loky"):
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for case in wanted_cases:
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# always force no_offset first to determine the reference vmax in the colorbar
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for case in ['no_offset'] + [c for c in wanted_cases if c != 'no_offset']:
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print(f"Starting {case} figure")
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# Repair clock offsets with the measured offsets
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transl_modes = {'no_offset':'orig', 'repair_phases':'phases', 'repair_full':'full'}
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@ -278,6 +280,19 @@ if __name__ == "__main__":
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print("backup time, time with measured_offset, true clock offset, measured clock offset")
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print(bak_ants[i].t[0], ev.antennas[i].t[0], ev.antennas[i].attrs['clock_offset'], measured_offsets[i])
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#
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# determine the maximum power for the true timing
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#
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if case == 'no_offset':
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xx, yy, p, maxp_loc = rit.shower_plane_slice(ev, X=X, Nx=1, Ny=1, wx=0, wy=0, zgr=zgr)
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no_offset_maximum_power = p
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# we forced no_offset for determing the reference vmax
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# simply continue with the rest
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if case not in wanted_cases:
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continue
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#
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# Plot overlapping traces at 0,0,0
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#
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@ -295,15 +310,18 @@ if __name__ == "__main__":
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fig = save_overlapping_traces_figure(loc, ev, N_plot=N_plot, wx=trace_zoom_wx, title_extra = plot_titling[case], fname_distinguish=f'{case}.axis', location_text=f"on simulation axis, $X={X}$", fig_dir=fig_dir, figsize=figsize)
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plt.close(fig)
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#
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# Measure power on grid
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# and plot overlapping traces at position with highest power
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#
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for scalename, scale in scales.items():
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wx, wy = scale, scale
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print(f"Starting grid measurement for figure {case} with {scalename}")
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xx, yy, p, maxp_loc = rit.shower_plane_slice(ev, X=X, Nx=Nx, Ny=Nx, wx=wx, wy=wy, zgr=zgr)
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fig, axs = rit.slice_figure(ev, X, xx, yy, p, mode='sp', scatter_kwargs=dict(
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vmax=1e5,
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vmax=no_offset_maximum_power,
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vmin=0,
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s=250,
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cmap='inferno',
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